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Search Results (748)

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Keywords = sediment yield

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16 pages, 4269 KiB  
Article
Temporal Changes in the Average Contribution of Land Uses in Sediment Yield Using the 137Cs Method and Geochemical Tracers
by Negin Ghaderi Dehkordi, Abdulvahed Khaledi Darvishan, Mohamad Reza Zare and Paolo Porto
Water 2025, 17(1), 73; https://doi.org/10.3390/w17010073 - 31 Dec 2024
Viewed by 265
Abstract
The study highlights the increasing significance of understanding sediment sources and their contributions within a watershed, particularly in relation to different land use types. As the demand for effective source apportionment grows, this research aims to quantify how various land uses—specifically rangeland, rainfed [...] Read more.
The study highlights the increasing significance of understanding sediment sources and their contributions within a watershed, particularly in relation to different land use types. As the demand for effective source apportionment grows, this research aims to quantify how various land uses—specifically rangeland, rainfed agriculture, irrigated agriculture, and orchards—contribute to sediment yield over time. To achieve this, the researchers employed geochemical tracers and 137Cs to assess sediment contributions in a small sub-basin located in western Iran. The methodology involved creating a working unit map by overlaying land use maps from 1967 and 2021 with a slope map of the region. A total of 75 and 31 soil samples were systematically collected across different land uses to ensure a representative analysis of 137Cs and geochemical methods, respectively. The study utilized specific models to calculate the average contributions of each land use type. For non-agricultural lands, a diffusion and migration model was applied, while agricultural lands were analyzed using a mass balance type II model. The FingerPro program in R software 4.2.2 facilitated the selection of suitable tracers and allowed for the determination of sediment source contributions through a multivariate mixed model algorithm. The findings revealed significant changes in sediment yield contributions over the past 60 years. In 2021, rainfed agriculture accounted for 72.26% of sediment yield, down from 85.49% six decades earlier. Conversely, irrigated agriculture showed an increase from 1.80% to 15.06%. Rangeland and orchard contributions remained relatively stable but low, at approximately 8% and 4%, respectively. The total erosion rate for the sub-basin was estimated at 526.87 t y−1, with rainfed agriculture being responsible for the majority at 450.43 t y−1. Full article
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Graphical abstract

Graphical abstract
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<p>The location of the control sub-watershed of Khamsan representative paired watershed in Iran, along with the soil and sediment sampling points in the study area.</p>
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<p>Land use/land cover maps of the study area based on the 1967 aerial photos (<b>a</b>) and satellite images of the 2021 (<b>b</b>).</p>
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<p>Preparation steps of soil and sediment samples in the laboratory for <sup>137</sup>Cs method.</p>
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<p>Preparation of soil and sediment samples in the laboratory for geochemical sourcing.</p>
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<p>Box plot of changes in concentration of final tracers (mg kg<sup>−1</sup>) in different sediment sources (RA: rainfed agriculture, R: rangeland, IA: irrigated agriculture, O: orchard).</p>
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<p>Discriminant Function Analysis (<b>a</b>) and Principal Component Analysis (<b>b</b>) plots (RA: rainfed agriculture, R: rangeland, IA: irrigated agriculture, O: orchard).</p>
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<p>Comparing the relative (<b>a</b>) and specific (<b>b</b>) contribution of land use/land covers in sediment yield using <sup>137</sup>Cs and geochemical methods.</p>
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20 pages, 5237 KiB  
Article
Study on the Effect of Sodium Silicate Solution Injection Timings on Electrochemical Reinforcement of Dredged Sludge
by Jiangdong Lin, Mi Ai, Guohui Yuan, Long Wang, Ziyang Gao, Xiaobing Li, Hongtao Fu and Yongfei Fan
Buildings 2025, 15(1), 70; https://doi.org/10.3390/buildings15010070 - 28 Dec 2024
Viewed by 384
Abstract
To address the issue of uneven shear strength distribution in dredged sediment during electroosmosis treatment, a grouting system was employed to inject CaCl2 into the anode region and Na2SiO3 solution into the central region. An experimental study was conducted [...] Read more.
To address the issue of uneven shear strength distribution in dredged sediment during electroosmosis treatment, a grouting system was employed to inject CaCl2 into the anode region and Na2SiO3 solution into the central region. An experimental study was conducted to examine the effect of injection timing on the electrochemical treatment of dredged sediment. Five experimental groups, each with different Na2SiO3 injection timings, were established. The impact of injection timing on the macroscopic electrochemical reinforcement was assessed based on current, drainage volume, settlement, moisture content, and shear strength. Additionally, the ion concentration of effluent from the cathode was measured, and scanning electron microscopy (SEM) and mercury intrusion porosimetry (MIP) were employed to analyze ion migration and pore characteristics. The results indicated that when CaCl2 was injected into the anode at the start of the experiment and Na2SiO3 was injected into the central region after the current had decayed by 70% from its peak, the drainage volume reached its maximum. Under these conditions, the average shear strength increased from nearly 0 kPa to 48.2 kPa, yielding the optimal reinforcement effect. The strength in both the central and cathode regions also improved, and the strength distribution between the anode and cathode became more uniform, with the strength ratio decreasing from 1.91 to 1.65, thereby enhancing the overall soil strength distribution. The Na+ concentration in the cathode effluent was highest, suggesting that Na+ migration played a predominant role in electroosmotic drainage. Furthermore, the electrochemical reactions generated cementitious materials that effectively filled the soil pores. SEM imaging and MIP pore size analysis revealed a reduction in porosity and an increase in soil compaction. Full article
(This article belongs to the Section Building Energy, Physics, Environment, and Systems)
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Figure 1

Figure 1
<p>Testing model box. (<b>a</b>) Schematic drawing. (<b>b</b>) Detection arrangement point.</p>
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<p>Variation of current during treatment for different injection timing.</p>
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<p>Variation of total drainage volume during treatment for different injection timing.</p>
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<p>Variation of drainage rate during treatment for different injection timing.</p>
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<p>Settlement with time.</p>
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<p>Variation in moisture content with distance from the anode.</p>
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<p>Variation in undrained shear strength with distance from anode.</p>
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<p>Variation in (<b>a</b>) Ca<sup>2+</sup>, (<b>b</b>) Na<sup>+</sup>, and (<b>c</b>) K<sup>+</sup> ions concentration with time in the discharged water.</p>
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<p>SEM image of the microstructure of soil sample at test S3 after treatment: (<b>a</b>) near the anode; (<b>b</b>) center of soil; (<b>c</b>) near the cathode.</p>
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<p>Cumulative mercury intrusion (<b>a</b>) near the anode, (<b>b</b>) near the middle, and (<b>c</b>) near the cathode after treatment.</p>
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<p>Pore size diameter distribution (<b>a</b>) near the anode, (<b>b</b>) near the middle, (<b>c</b>) near the cathode after treatment.</p>
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<p>Mechanism of injection time of the sodium silicate solution during the electrochemical treatment.</p>
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42 pages, 20402 KiB  
Article
First Investigation of the Marine Gastrotrich Fauna from the Waters of North Tunisia, with the Description of a New Species of Halichaetonotus (Gastrotricha, Chaetonotida)
by Aicha Souid, Mehrez Gammoudi, Francesco Saponi, M’hamed El Cafsi and M. Antonio Todaro
Diversity 2025, 17(1), 17; https://doi.org/10.3390/d17010017 - 27 Dec 2024
Viewed by 207
Abstract
Gastrotrichs (hairy bellies) are microscopic, acoelomate worms that live in freshwater and marine environments and represent one of the significant components of the meiobenthic communities. There are over 520 marine species, and several of them are also found in the Mediterranean Sea. However, [...] Read more.
Gastrotrichs (hairy bellies) are microscopic, acoelomate worms that live in freshwater and marine environments and represent one of the significant components of the meiobenthic communities. There are over 520 marine species, and several of them are also found in the Mediterranean Sea. However, data on the gastrotrich fauna from Tunisia is negligible, with nearly zero annotated records. We have initiated a series of investigations along the Tunisian shores to address this gap. Herein, we report data from four collecting sites on the northern Tunisian coastline. Sandy samples from 2 m water depth yielded 21 species, 11 in the order Macrodasyida and 10 in Chaetonotida. One chaetonotidan new to science is formally described, while morphometric data and photomicrographs are provided for all the others. Incidentally, we report on the longest gastrotrich ever found. Information about the microhabitat’s characteristics, including the water’s salinity and temperature and granulometric parameters of the sediment, are also reported. Finally, we provide information on Tunisian species previously discovered by our team and involved in phylogenetic studies for which morphological data and details about their findings have never been published. We explicitly address and correct the errors in GenBank concerning the attribution of gene sequences for these species. Full article
(This article belongs to the Special Issue 2024 Feature Papers by Diversity’s Editorial Board Members)
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Figure 1

Figure 1
<p>Maps of the Tunisian locations where marine Gastrotricha were sampled: (<b>A</b>) General map displaying Tunisia’s position in the Mediterranean Sea area; (<b>B</b>) satellite map of Tunisia with a close-up on the four locations sampled in September 2023 (1—Cap Angela St1; 2—Les Grottes St2; 3—Rimel Beach St3, 4—Rimel Epave St4). In the same map (<b>B</b>), the yellow dot indicates the area around Tunis investigated by Westheide [<a href="#B70-diversity-17-00017" class="html-bibr">70</a>], while the cyan dots mark the locations from which the four species reported in Todaro et al. [<a href="#B71-diversity-17-00017" class="html-bibr">71</a>] were sampled (a—Bouficha; b—Mahdia). See text and <a href="#diversity-17-00017-t001" class="html-table">Table 1</a> for further details.</p>
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<p>Photomicrographs of the adult specimen of <span class="html-italic">Dolichodasys</span> sp1 found at Rimel Epave: (<b>A</b>) habitus; (<b>B</b>) posterior end showing the posterior adhesive tubes (arrows); (<b>C</b>) anterior end, ventral view, showing one of the anterior adhesive tubes and the mouth. m-mouth; TbA—anterior adhesive tubes; TbP—posterior adhesive tubes. Differential interference contrast microscopy (Nomarski).</p>
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<p>Photomicrographs of <span class="html-italic">Mesodasys littoralis</span> found at Bouficha: (<b>A</b>) habitus; (<b>B</b>) close-up of posterior region, ventral view showing the adhesive tubes around the caudal lobe (arrows); (<b>C</b>) close-up of trunk region, internal view, showing the copulatory organ (arrow); (<b>D</b>) close-up of the internal view at the pharyngo-intestinal junction (arrowhead) showing the sperm-filled testes (arrow); (<b>E</b>) close-up of the anterior region, ventral view, showing the anterior adhesive tubes (arrows). cop—copulatory organ; m—mouth; ph—pharynx; PhIJ—pharyngo-intestinal junction. Differential interference contrast microscopy (Nomarski).</p>
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<p>Photomicrographs of a juvenile of <span class="html-italic">Dactylopodola typhle</span> found at Rimel Beach: (<b>A</b>) habitus, dorsal view; (<b>B</b>) habitus, ventral view. C—bilobed caudum; TbA—anterior adhesive tubes; TbL—lateral adhesive tubes. Differential interference contrast microscopy (Nomarski).</p>
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<p>Photomicrographs of <span class="html-italic">Urodasys viviparus</span> found at Rimel Epave: (<b>A</b>) habitus; (<b>B</b>) close-up of the posterior trunk region showing an early stage (egg cleavage) of the internal embryo. Em—embryo. Differential interference contrast microscopy (Nomarski).</p>
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<p>Photomicrographs of <span class="html-italic">Megadasys</span> sp1, found at Rimel Epave: (<b>A</b>) habitus of the 3867 µm long specimen; (<b>B</b>) close-up of the caudal lobe of the subadult specimen, showing the TbP (arrow); (<b>C</b>) anterior region, ventral view, of an adult specimen showing the TbA (arrow); (<b>D</b>) another adult specimen showing the internal reproductive structures; (<b>E</b>) close-up of the bundle of allosperm (arrow); (<b>F</b>) close-up of the sperm-filled deferens (arrow); (<b>G</b>) close-up of the deferens confluence (arrow). as—allosperm; de—deferens; co—caudal organ; mo—mature ovum; ov—ovary; sd—deferens splice. Differential interference contrast microscopy (Nomarski).</p>
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<p>Photomicrographs of the adult specimen of <span class="html-italic">Acanthodasys aculeatus</span> found at Cap Angela: (<b>A</b>) habitus, ventral view; (<b>B</b>) habitus, dorsal view. e—egg; m—mouth; PhIJ—pharyngo-intestinal junction; TbVL—ventrolateral adhesive tubes; TbP—posterior adhesive tubes. Differential interference contrast microscopy (Nomarski).</p>
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<p>Photomicrographs of <span class="html-italic">Diplodasys sanctimariae</span> found at Les Grottes: (<b>A</b>) habitus; (<b>B</b>) anterior end, dorsal view, showing the cuticular scales; (<b>C</b>) posterior end, ventral view, showing the posterior adhesive tubes (arrows). Differential interference contrast microscopy (Nomarski).</p>
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<p>Photomicrographs of <span class="html-italic">Pseudostomella etrusca</span> found at Rimel Beach: (<b>A</b>) habitus, with indicated pre-oral palps and the caudal pedicles; (<b>B</b>) anterior region, dorsal view, showing the cuticular scales and the dorsal papillae of the palps; (<b>C</b>) anterior region, ventral view; showing the anterior and dorsolateral adhesive tubes and the ventral papillae on the palps. cp—caudal pedicles; dpp—dorsal papillae of the palps; pp—preoral palps; TbA—anterior adhesive tube; TbDL—dorsolateral adhesive tube; vpp—ventral papillae of the palps Differential interference contrast microscopy (Nomarski).</p>
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<p>Photomicrographs of a subadult specimen of <span class="html-italic">Tetranchyroderma esarabdophorum</span> found at Mahdia in 2008: (<b>A</b>) habitus, dorsal view, showing the head rod-like tentacles (arrowhead) and the dorsal rod-like tubes (arrows); (<b>B</b>) anterior region, dorsal view, showing the head knob-like tentacles (arrow); (<b>C</b>) anterior region, ventral view, showing the TbA (arrows). eg—epidermal glands; TbDL—dorsolateral adhesive tubes; TbVL—ventrolateral adhesive tubes. Differential interference contrast microscopy (Nomarski).</p>
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<p>Photomicrographs of an adult specimen of <span class="html-italic">Tetranchyroderma heterotubulatum</span> found at Les Grottes: (<b>A</b>) habitus, with indicated the dorsal adhesive tubes; (<b>B</b>) anterior region, ventral view, showing the anterior adhesive tube; (<b>C</b>) posterior region, ventral view showing the ventro-lateral and posterior adhesive tubes; (<b>D</b>) posterior region showing the frontal- and the caudal organ. co—caudal organ; cp—caudal pedicule; fo—frontal organ; TbA—anterior adhesive tube; TbD—dorsal adhesive tube; TbP—posterior adhive tube; TbVL—ventrolateral adhesive tube. Differential interference contrast microscopy (Nomarski).</p>
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<p>Photomicrographs of the juvenile specimen of <span class="html-italic">Tetranchyroderma papii</span> found at Cap Angela: (<b>A</b>) habitus, dorsal view, showing the cuticular covering made up of pentancres, the head tentacles, and the epidermal glands; (<b>B</b>) habitus, ventral view, showing the head tentacles and the adhesive apparatus. cp—caudal pedicles; ct—cirrata tube; eg—epidermal gland; rt—rod-like tentacle; st—spatiform tentacle; TbA—anterior adhesive tubes; TbDL—dorso-lateral adhesive tube; TbP—posterior adhesive tube; TbVL—ventro-lateral adhesive tube. Differential interference contrast microscopy (Nomarski).</p>
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<p>Photomicrographs of an adult specimen of <span class="html-italic">Paraturbanella teissieri</span> found at Rimel Beach: (<b>A</b>) habitus; (<b>B</b>) close-up of the anterior region showing the piston pit; (<b>C</b>) posterior region showing the posterior adhesive tubes and the caudal cone; (<b>D</b>) anterior region, ventral view showing the ventral papillae; (<b>E</b>) anterior region, ventral view showing the anterior adhesive tubes. cc—caudal cone; ps—piston pit; TbA—anterior adhesive tubes; TbP—posterior adhesive tubes; vp—ventral papillae. Differential interference contrast microscopy (Nomarski).</p>
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<p>Photomicrographs of the adult specimen of <span class="html-italic">Turbanella bocqueti</span> found at les Grottes: (<b>A</b>) habitus; (<b>B</b>) close-up of the posterior region, ventral view, showing the posterior adhesive tubes; (<b>C</b>) close-up of the anterior region, ventral view, showing the anterior adhesive tubes. TbA—anterior adhesive tubes; TbP—posterior adhesive tubes. Differential interference contrast microscopy (Nomarski).</p>
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<p>Photomicrographs of <span class="html-italic">Aspidiophorus mediterraneus</span> found at Cap Angela: (<b>A</b>) habitus of the adult specimen; (<b>B</b>–<b>G</b>) subadult specimen; (<b>B</b>) habitus, dorsal view; (<b>C</b>) close-up of the neck region showing the sensory cilia (arrowhead); (<b>D</b>) close-up of the posterior trunk region showing the sensorial cilia (arrowheads); (<b>E</b>) close-up of the dorsal scales; (<b>F</b>) habitus, showing the internal anatomy; (<b>G</b>) habitus, ventral view; (<b>H</b>) details of the perioral region, showing the mouth and hypostomion (arrowhead). cb—ciliary band; f—furca; hsc—head sensorial cilia; i—intestine; m—mouth; ph—pharynx; phb—pharynx bulb; PhIJ—pharyngo-intestinal junction; psc—posterior sensorial cilia. Differential interference contrast microscopy (Nomarski).</p>
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<p>Photomicrographs of <span class="html-italic">Aspidiophorus paramediterraneus</span> found at Rimel Epave: (<b>A</b>) habitus, dorsal view; (<b>B</b>) close-up of the dorsal scales; (<b>C</b>) close-up of the posterior sensorial cilia (arrow); (<b>D</b>) habitus, ventral view; (<b>E</b>) habitus, internal view; (<b>F</b>) close-up of the perioral area showing the hypostomion (arrowhead); (<b>G</b>) close-up of perianal scales (arrows). cb—ciliary bands; e—egg; f—furca; i—intestine; m-mouth; ph—pharynx; phb—pharynx bulb; PhIJ—pharyngo-intestinal junction; sc—sensory cilia; scb—single ciliary band. Differential interference contrast microscopy (Nomarski).</p>
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<p>Photomicrographs of <span class="html-italic">Chaetonotus dispar</span> found at Cap Angela: (<b>A</b>) habitus, dorsal view, arrowhead show the two accessory points along the spines; (<b>B</b>) habitus, internal anatomy; (<b>C</b>) habitus, ventral view. icf—interciliary field, ifs—intrafurcal spines; lc—locomotor cilia; m—mouth; ph—pharynx, PhIJ—pharyngo-intestinal junction; vls—ventrolateral spine. Differential interference contrast microscopy (Nomarski).</p>
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<p>Schematic drawings of <span class="html-italic">Halichaetonotus bizertae</span> sp. nov. (<b>A</b>) dorsal view showing scales and spines pattern; (<b>B</b>) ventral view, showing also the pharynx and intestine (dotted lines).</p>
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<p>Photomicrographs of the holotype of <span class="html-italic">Halichaetonotus bizertae</span> sp. nov. found at Les Grottes: (<b>A</b>) habitus, showing the intrafurcal spines (arrows); (<b>B</b>) close-up of the trunk hydrofoil scales (<b>C</b>) close-up of the neck hydrofoil scales; (<b>D</b>) habitus, ventral view, showing the hydrofoil scales of the ventrolateral columns (arrow) and of the lateral columns (arrowhead), (<b>E</b>) posterior region, ventral view, showing the first pair of the terminal scales (arrows); (<b>F</b>) posterior region, ventral view, showing the second pair of terminal scales (arrows). m-mouth; f—furca. (<b>A</b>) bright field microscopy; (<b>B</b>–<b>F</b>) Differential interference contrast microscopy (Nomarski).</p>
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<p>Photomicrographs of <span class="html-italic">Halichaetonotus bizertae</span> sp. nov. holotype found at Les Grottes. (<b>A</b>) habitus, dorsal view; (<b>B</b>) close-up of the head scales; (<b>C</b>) close-up of the neck scales; (<b>D</b>) close-up of the trunk scales; (<b>E</b>) habitus, showing the internal anatomy. ce—cephalion; i—intestine; ph—pharynx; PhIJ—pharyngo-intestinal junction; pht—pharyngeal teeth. Differential interference contrast microscopy (Nomarski).</p>
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<p>Photomicrographs of <span class="html-italic">Halichaetonotus bizertae</span> sp. nov., another adult specimen found at Cap, Angela. (<b>A</b>) habitus, showing the internal anatomy; (<b>B</b>) habitus, ventral view. cb—ciliary bands; ce—cephalion; f—furca; hysc—hydrofoil scale; i—intestine; m—mouth; ph—pharynx; PhIJ—pharyngo-intestinal junction; pht—pharyngeal teeth; sc—sensorial cilia. Differential interference contrast microscopy (Nomarski).</p>
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<p>Photomicrographs of <span class="html-italic">Halichaetonotus euromarinus</span> found at Cap Angela: (<b>A</b>) habitus, dorsolateral view; (<b>B</b>) insert showing the dorsal scales bearing the keels extending in a spiny process; (<b>C</b>) habitus, ventrolateral view; (<b>D</b>) posterior region, ventral view showing the two pairs of perianal scales (arrows). hsc—hydrofoil scales. Differential interference contrast microscopy (Nomarski).</p>
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<p>Photomicrographs of <span class="html-italic">Halichaetonotus thalassopais</span> found at Cap Angela: (<b>A</b>) habitus; (<b>B</b>) close-up of the dorsal scales; (<b>C</b>) anterior region, internal view, showing the pharynx; (<b>D</b>) posterior region of different specimen, showing the high keel of the ventro-lateral scales and the lamellae of the hydrofoil scales. e—egg; hsc—hydrofoil scales; ph—pharynx; pht—pharyngeal teeth; vlk—keels of the ventrolateral scales; vtsc—ventral scales of the posterior region. Differential interference contrast microscopy (Nomarski).</p>
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<p>Photomicrographs of <span class="html-italic">Heterolepidoderma loricatum</span> found at Cap Angela: (<b>A</b>) habitus, dorsal view; (<b>B</b>) habitus, ventral view, showing among others, the hydrofoil scales and the terminal scales (arrows); (<b>C</b>) habitus, internal anatomy. c—cilia; i—intestine; hsc—hydrofoil scales; hy—hypostomion; icsc—scales of the interciliary field; m—mouth; ph—pharynx; pht—pharyngeal teeth. Differential interference contrast microscopy (Nomarski).</p>
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<p>Photomicrograph of <span class="html-italic">Draculiciteria tessalata</span> found at Rimel Beach. tlsp—terminal lateral spines. Differential interference contrast microscopy (Nomarski).</p>
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<p>Photomicrographs of <span class="html-italic">Heteroxenotrichula</span> sp1 found at Cap Angela: (<b>A</b>) habitus, dorsal view; (<b>B</b>) habitus, ventral view. a—auricules; ahsc—anterior head sensory cirri; tlc—trunk locomotory cirri; dlhsc—dorsolateral head sensory cirri; e—egg; f—furca; fp—furca peduncle; lac—large anterior cirri; m—mouth; mp—male pore; sac—small anterior cirri; sp—spermatozoa. Differential interference contrast microscopy (Nomarski).</p>
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<p>Photomicrographs of <span class="html-italic">Heteroxenotrichula</span> sp2 found at Cap Angela: habitus, ventral view. Differential interference contrast microscopy (Nomarski).</p>
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<p>Photomicrographs of <span class="html-italic">Xenotrichula intermedia</span> found at Mahdia: (<b>A</b>) habitus, dorsal view; (<b>B</b>) habitus, ventral view. an—anus; i—intestine; ph—pharynx; PhIJ—pharyngo-intestinal junction; sc—sensorial cirri. Differential interference contrast microscopy (Nomarski).</p>
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17 pages, 1464 KiB  
Article
Quantitative Assessment of Oysters’ Multiple Nitrogen Removal Pathways in a Subtropical Bay
by Rongxin Liu, Qixing Ji, Zhengping Chen and Heng Zhang
J. Mar. Sci. Eng. 2025, 13(1), 21; https://doi.org/10.3390/jmse13010021 - 27 Dec 2024
Viewed by 351
Abstract
Oyster aquaculture helps mitigate coastal eutrophication by assimilating organic nitrogen for biomass and by denitrification in both the oyster digestive tract and sediment below. Efforts are needed in the quantitative assessment of oysters’ multiple nitrogen removal pathways at large-scale aquaculture sites, especially removal [...] Read more.
Oyster aquaculture helps mitigate coastal eutrophication by assimilating organic nitrogen for biomass and by denitrification in both the oyster digestive tract and sediment below. Efforts are needed in the quantitative assessment of oysters’ multiple nitrogen removal pathways at large-scale aquaculture sites, especially removal in oyster bodies, which has been much less quantified among these pathways. This study takes a subtropical estuary (Shenzhen Bay in South China) as a testbed to conduct laboratory rearing experiments and field investigation. The laboratory results show that an oyster individual of harvest size can remove 0.59 mg-N day−1 through denitrification within the body, which can be proportionally extrapolated to 4.6 kg-N km−2 day−1 in Shenzhen Bay. Assimilating field measurements into a “flux inventory model” yields the oyster-induced total nitrogen removal of Shenzhen Bay as 33.3 kg-N km−2 day−1, in which biomass harvest, denitrification in oysters, and sediment contributed 26%, 14%, and 60%, respectively. Additionally, the oyster’s filter-feeding lifestyle exports nitrogen from the water column to the sediment, which can contribute to ~3% of the daily nitrogen input into the bay. This study confirms the potential of oyster nitrogen removal, especially within the body, and provides a working framework for quantitative assessment of coastal nitrogen removal by the growing scale floating oyster aquaculture. Full article
(This article belongs to the Section Marine Aquaculture)
Show Figures

Figure 1

Figure 1
<p>Conceptual diagram showing three pathways of N removal by floating oysters. <span class="html-italic">Pathway 1</span>: biomass harvest. <span class="html-italic">Pathway 2</span>: denitrification in oyster body. <span class="html-italic">Pathway 3</span>: oyster-induced sedimentary denitrification.</p>
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<p>Sampling sites and water depth (m) in Shenzhen Bay (<b>a</b>), temperature ((<b>b</b>), in °C), and salinity ((<b>c</b>), in ppt) averaged over sampling periods from 8 to 10 January 2024. Note that the floating oyster aquaculture was only on the HK side but not the SZ side.</p>
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<p>Diagram of the conceptual water box in “flux inventory model” applied in Shenzhen Bay (SZB). The net water flow through the water box was along an east-to-west direction from transects A to B, with a flow rate of 6.9 × 10<sup>5</sup> m<sup>3</sup> day<sup>−1</sup>.</p>
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<p>Fractional change in NO<sub>2</sub><sup>−</sup> or NO<sub>3</sub><sup>−</sup> concentration relative to its initial concentration (i.e., <span class="html-italic">C</span>(<span class="html-italic">t</span>)-(<span class="html-italic">t</span> = 0 h))/<span class="html-italic">C</span>(<span class="html-italic">t</span> = 0 h), where <span class="html-italic">C</span> denotes the concentration) for oyster rearing experiments under different densities (<b>a</b>–<b>d</b>); change in concentration of NO<sub>2</sub><sup>−</sup>, NO<sub>3</sub><sup>−</sup>, and NO<sub>x</sub><sup>−</sup> (NO<sub>3</sub><sup>−</sup> + NO<sub>2</sub><sup>−</sup>) after one-day rearing (<b>e</b>,<b>f</b>). Specifically, (<b>a</b>,<b>c</b>,<b>e</b>) represent results by whole oysters, while (<b>b</b>,<b>d</b>,<b>f</b>) represent results excluding oyster shells. A positive value represents an increase in concentration, while a negative value represents removal.</p>
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<p>Concentrations of different DIN species including NO<sub>2</sub><sup>−</sup> (<b>a</b>), NO<sub>3</sub><sup>−</sup> (<b>b</b>), NH<sub>4</sub><sup>+</sup> (<b>d</b>) and N<sub>2</sub>O (<b>e</b>), NO<sub>x</sub><sup>−</sup> (<b>c</b>) and total DIN (<b>f</b>) (N<sub>2</sub>O in nM and others in μM) in Shenzhen Bay. Concentrations are averaged over the sampling periods from 8–10 January 2024.</p>
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21 pages, 2076 KiB  
Article
Increasing Planting Density with Reduced Topdressing Nitrogen Inputs Increased Nitrogen Use Efficiency and Improved Grain Quality While Maintaining Yields in Weak-Gluten Wheat
by Wenyin Zhou, Suhui Yan, Abdul Rehman, Haojie Li, Shiya Zhang, Yudong Yong, Yang Liu, Longfei Xiao, Chengyan Zheng and Wenyang Li
Agriculture 2025, 15(1), 13; https://doi.org/10.3390/agriculture15010013 - 25 Dec 2024
Viewed by 255
Abstract
Increasing nitrogen fertilizer will increase wheat grain yield and grain quality at the same time, but the goal of high quality and stable yield in weak-gluten wheat production is to reduce grain protein content and increase grain yield. Our research goal is to [...] Read more.
Increasing nitrogen fertilizer will increase wheat grain yield and grain quality at the same time, but the goal of high quality and stable yield in weak-gluten wheat production is to reduce grain protein content and increase grain yield. Our research goal is to reduce nitrogen input while increasing planting density to maintain high quality and stable yield. Field studies were conducted during two successive seasons using a widely planted cultivar, Yangmai 15. We studied the effects of reduced nitrogen topdressing and increased planting density on yield, quality and nitrogen agronomic efficiency. The field experiment was conducted with four nitrogen (N) levels for topdressing at jointing stage: 37.8 (N1), 43.2 (N2), 48.6 (N3) and 54 kg N ha−1 (N4). Moreover, there were three planting densities: 180, 240 and 300 × 104 plants ha−1 (D1, D2 and D3, respectively). When the amount of nitrogen topdressing was reduced, the number of tillers and spikes in each growth period of wheat decreased significantly, and the yield increased first and then decreased, with the highest yield at the level of 48.6 kg N ha−1. When the planting density was increased, the number of tillers and spikes in each growth period of wheat increased significantly, the yield increased significantly, and the yield was the highest at the level of 180 × 104 plants ha−1. Under the same density level, the flag leaf chlorophyll content, leaf area index, nitrogen production efficiency and nitrogen use efficiency decreased with a decrease in the nitrogen application rate. Under the same nitrogen topdressing amount, the nitrogen fertilizer production efficiency and nitrogen fertilizer utilization efficiency increased with the increase in density. The relative chlorophyll content, leaf area index, nitrogen partial factor productivity, nitrogen use efficiency, grain accumulation, grain distribution ratio and grain yield of wheat were the highest under the treatment of a planting density of 300 × 104 plants ha−1 and nitrogen topdressing amount of 48.6 kg N ha−1. The combined decrease in nitrogen recovery and increase in planting density decreased protein content, sedimentation value and wet gluten content. Increasing density significantly improved dry matter accumulation in the population, partially compensating for the yield loss due to nitrogen reduction by increasing the effective number of spikes, thereby further improving grain quality and nitrogen use efficiency. Therefore, agronomic approaches combining low nitrogen and high planting densities may be effective in simultaneously increasing grain yield and nitrogen use efficiency and stabilizing grain processing quality in weakly reinforced wheat. Full article
(This article belongs to the Section Crop Production)
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<p>Meteorology during the whole growth period of wheat in two growing seasons from 2022 to 2024.</p>
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<p>Relative chlorophyll content of wheat at different densities and levels of nitrogen supplementation. Note: N1, N2, N3 and N4 indicate the N rate of 37.8, 43.2, 48.6 and 54 kg N ha<sup>−1</sup>, respectively. D1, D2 and D3 indicate the plant density of 180, 240 and 300 × 10<sup>4</sup> plants ha<sup>−1</sup>, respectively. The relative chlorophyll content of each treatment in 2022~2023 (<b>A</b>); the relative content of leaf green in each treatment in 2023~2024 (<b>B</b>). Different lowercase letters in the figure indicate that the LSD test was significantly different at the 0.05 probability level. DAA, days after anthesis.</p>
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<p>Organ accumulation in wheat at different densities and levels of nitrogen supplementation. Note: N1, N2, N3 and N4 were 37.8, 43.2, 48.6 and 54 kg N ha<sup>−1</sup>, respectively. D1, D2 and D3 represent the plant density of 180, 240 and 300 × 10<sup>4</sup> plants ha<sup>−1</sup>, respectively. Different lowercase letters in the figure indicate that the LSD test was significantly different at the 0.05 probability level.</p>
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<p>The contribution rate of wheat grain under different densities and nitrogen topdressing levels. Note: N1, N2, N3 and N4 were 37.8, 43.2, 48.6 and 54 kg N ha<sup>−1</sup>, respectively. D1, D2 and D3 represent the plant density of 180, 240 and 300 × 10<sup>4</sup> plants ha<sup>−1</sup>, respectively. Different lowercase letters in the figure indicate that the LSD test was significantly different at the 0.05 probability level.</p>
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<p>Dry matter distribution of wheat at maturity stage under different density and nitrogen topdressing levels. Note: N1, N2, N3 and N4 were 37.8, 43.2, 48.6 and 54 kg N ha<sup>−1</sup>, respectively. D1, D2 and D3 represent the plant density of 180, 240 and 300 × 10<sup>4</sup> plants ha<sup>−1</sup>, respectively. The number in the figure is the percentage of dry matter accumulation in each organ.</p>
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<p>Relationship between different density and nitrogen topdressing amounts and wheat yield.</p>
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<p>Relationship between different density and nitrogen topdressing amounts and wheat yield.</p>
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<p>Correlation analysis of yield and yield related indexes under different density and nitrogen topdressing levels. Note: *: <span class="html-italic">p</span> &lt; 0.05; **: <span class="html-italic">p</span> &lt; 0.01.</p>
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19 pages, 3640 KiB  
Article
Growth Parameters, Yield and Grain Quality of Different Winter Wheat Cultivars Using Strip Tillage in Relation to the Intensity of Post-Harvest Soil Cultivation
by Marcin Różewicz, Jerzy Grabiński and Marta Wyzińska
Agriculture 2024, 14(12), 2345; https://doi.org/10.3390/agriculture14122345 - 20 Dec 2024
Viewed by 384
Abstract
The research has been undertaken to determine whether it is worthwhile to do a post-tillage on stubble before applying strip-till or whether tillage operations such as tillage and stubble ploughing should be performed. Therefore, ploughed tillage + strip tillage (PT), stubble discing + [...] Read more.
The research has been undertaken to determine whether it is worthwhile to do a post-tillage on stubble before applying strip-till or whether tillage operations such as tillage and stubble ploughing should be performed. Therefore, ploughed tillage + strip tillage (PT), stubble discing + strip tillage (SD) and strip tillage (ST) operations were evaluated on three genetically distant winter wheat cultivars, including Formacja, Metronom and Desamo. A three-year field experiment was conducted from 2018 to 2021 at the Agricultural Experimental Station Kepa-Osiny in Pulawy, Poland. The experiment design was a split-block design with four repetitions of every treatment. The results showed that the cultivars differed in dry matter growth. However, no differences were found between the cultivar and post-harvest tillage method in terms of dry matter, plant height, and flag leaf area. Grain yield per ear was the main factor of yield variation across the cultivar and tillage systems. The extent of tillage only in the case of previously performed ploughing had an effect on the thousand grain weight. On the other hand, the omission of post-harvest tillage (ST) had a positive effect on the sedimentation index value. In terms of wheat grain yield, plough tillage (PT) proved to be the most advantageous, while reducing the intensity of tillage caused a systematic decrease in yield by 6% in the SD treatment and 9% in the ST treatment, respectively. Other quality parameters (gluten quantity, gluten index, falling number) did not depend on the applied tillage range. The response of cultivars to the applied cultivation methods was generally similar. Due to the beneficial effect of reducing the scope of cultivation on the environment, a small reduction in yield and no negative impact on the quality characteristics of grain, it is recommended to use strip-till cultivation without prior post-harvest cultivation. The results provide new insights into the growth of different winter wheat cultivars and the postharvest tillage applied, and they can be used in the future to validate existing wheat growth models. Full article
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<p>Characteristics of treatments using different post-harvest cultivation.</p>
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<p>Characteristics of the cultivars used in the research.</p>
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<p>Plan of the applied experiment and combination of factors.</p>
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<p>Characteristics of the physicochemical properties of soil.</p>
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<p>Agricultural technology and fertilisation used in the conducted research.</p>
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21 pages, 13122 KiB  
Article
Variability of Suspended Sediment Runoff as an Expression of the Long-Term Dynamics of Loess Gully Development—An Example from the Lublin Upland (Eastern Poland)
by Jan Rodzik, Grzegorz Janicki, Krzysztof Stępniewski and Waldemar Kociuba
Land 2024, 13(12), 2222; https://doi.org/10.3390/land13122222 - 19 Dec 2024
Viewed by 327
Abstract
In the 20-year period from 2003 to 2022, water runoff and suspended sediment load in a forested gully system with a total length of 7.5 km was recorded. The branching gully system cuts through an agricultural catchment of 1.24 km2 located within [...] Read more.
In the 20-year period from 2003 to 2022, water runoff and suspended sediment load in a forested gully system with a total length of 7.5 km was recorded. The branching gully system cuts through an agricultural catchment of 1.24 km2 located within the loess plateau of the Nałęczów Plateau (E Poland). A rain gauge was installed close to the watershed and in the gully mouth water runoff was monitored using a limnigraph, installed with a water gauge on a Thomson triangular weir. To determine suspended sediment concentrations during erosion episodes, water was sampled at a frequency dependent on the rate and duration of the runoff. The aim of the monitoring studies was to specify the relationship between flow rate and suspended concentration for different water runoff conditions, which were used to calculate sediment load. The contribution of propluvial and pronivial runoff to gully development was assessed, particularly in the transport of sediment out of the catchment, and unit denudation rates were calculated as less than 1000 Mg km−2 year−1, average 173 Mg km−2 year−1, and during a single event as a maximal 900 Mg km−2. Full article
(This article belongs to the Topic Slope Erosion Monitoring and Anti-erosion)
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<p>Location of the study catchment on the background of the DEM of the western part of the Nałęczów Plateau on the edge of an area strongly cut by gullies: 1—gully catchment border; 2—macroregions border; 3—mesoregions border; 4—Vistula River channel; and 5—stream channel.</p>
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<p>Location of survey station in the study area on a DEM background: 1—hydrometric station, 2—digital rain gauge, 3—pool with spring, 4—catchment border, 5—periodical flow, 6—damp area.</p>
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<p>Pond with underwater spring feeding the baseflow (photo by J. Rodzik, 2015).</p>
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<p>Hydrological station closing catchment with water gauge and limnigraph—periodic snowmelt runoff (photo by J. Rodzik, 2012).</p>
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<p>Record of suspended sediment concentration (<span class="html-italic">Cs</span>) in a series of complementary runoffs: periodic baseline and episodic on 19 and 20 July 2017 at the Kolonia Celejów gully catchment.</p>
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<p>Frozen baseflow (icefall) at the erosion knickpoint of a secondary gully (photo by J. Rodzik, 2018).</p>
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<p>Graph showing monthly totals of suspended sediment load from the gully catchment in Kolonia Celejów against the water runoff; the blue line indicates runoff and the maroon line indicates suspended sediment.</p>
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<p>Multi-year distribution of monthly water runoff from the gully catchment in the years 2003–2022; the individual months are marked by the corresponding colours.</p>
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<p>Distribution of semi-annual runoffs of water and suspended sediment yield from the gully catchment between 2003 and 2022.</p>
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<p>Distribution of annual runoffs of water and suspended sediment yield from the gully catchment during the hydrological years 2003–2022.</p>
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<p>Filtration of periodic snowmelt runoff in the snowpack at the bottom of the gully (photo by J. Rodzik, 2012).</p>
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<p>Episodic rainfall runoff with high sediment concentration during the fall phase (photo by G. Gajek, 2017).</p>
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<p>Monthly distribution of suspended sediment yield from the gully catchment between 2003 and 2022; the individual months are marked by the corresponding colours.</p>
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<p>Average monthly total water runoff and suspended sediment yield in the gully catchment: (<b>A</b>) nival period 2003–2006; (<b>B</b>) steady period 2007–2009; (<b>C</b>) pluvial period 2010–2018; and (<b>D</b>) variable period 2019–2022.</p>
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<p>Average monthly water runoff and suspended sediment yield from the gully catchment.</p>
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<p>Relationship of monthly water runoff and suspended sediment yield from the gully catchment.</p>
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<p>Dissection of the flat, accumulating gully bottom ravine to its original depth by head-cut erosion during propluvial runoff, forming a paired terrace (Photo J. Rodzik, 2017).</p>
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21 pages, 4300 KiB  
Article
Spatial Sediment Erosion and Yield Using RUSLE Coupled with Distributed SDR Model
by Sanyam Ghimire, Umesh Singh, Krishna Kanta Panthi and Pawan Kumar Bhattarai
Water 2024, 16(24), 3549; https://doi.org/10.3390/w16243549 - 10 Dec 2024
Viewed by 1147
Abstract
Estimating sediment yield in a river is a challenging task in the water resources field. Different methods are available for estimating sediment erosion and yield, but generally they are not spatially distributed in nature. This paper presents the application of the Revised Universal [...] Read more.
Estimating sediment yield in a river is a challenging task in the water resources field. Different methods are available for estimating sediment erosion and yield, but generally they are not spatially distributed in nature. This paper presents the application of the Revised Universal Soil Loss Equation (RUSLE) for estimating soil erosion and integrates it with spatially distributed Sediment Delivery Ratio (SDR) to calculate sediment yield in a Himalayan river. The study area is Kabeli sub-catchment, located upstream of the Koshi River Basin in the eastern part of Nepal. The Kabeli River is where numerous hydropower projects are envisaged, and sediment-related issues are of major concern. With the use of the RUSLE, the mean annual soil erosion is estimated at 35.96 tons/ha/yr. The estimated specific sediment yield (SSY) from the distributed SDR method is 6.74 tons/ha/yr, which is close to the observed SSY of 7.26 tons/ha/yr using the data records of ~8 years. Based on correlation analysis, the topographic factor (LS) is the most sensitive RUSLE parameter with respect to sediment erosion. The sloping areas near the river hillslope are particularly vulnerable to soil erosion. The results indicate that the approach employed in this study may be potentially applied in other catchments with similar physiographic characteristics for the estimation of sediment yield. Full article
(This article belongs to the Special Issue Measurements and Modeling in Soil Erosion: State of the Art)
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<p>Location map of the study area [<a href="#B15-water-16-03549" class="html-bibr">15</a>].</p>
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<p>(<b>a</b>) Suspended sediment yield status and sediment transport process for the Kabeli catchment (modified from Ghimire et al., 2024 [<a href="#B15-water-16-03549" class="html-bibr">15</a>]). (<b>b</b>) Remnant of sheet erosion in fine-grained soils from a catchment located upstream of the Tamor River.</p>
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<p>Temporal variability in precipitation, discharge and sediment concentration over an 8-year period (2010–2018). The daily precipitation hyetograph is represented in green, the daily river discharge hydrograph in blue and the suspended sediment concentration is depicted as a red scatter plot. Missing ground-based precipitation data were filled using the APHRODITE dataset (APHRO_MA_V1101EX_R1) [<a href="#B15-water-16-03549" class="html-bibr">15</a>].</p>
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<p>Workflow for creating spatially distributed sediment yield map.</p>
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<p>(<b>a</b>) Workflow for GRASS GIS module (<tt>r.sdr</tt>) (modified from DeRosa et al. 2016 [<a href="#B58-water-16-03549" class="html-bibr">58</a>]). (<b>b</b>) Schematic representation of components of SDR calculation.</p>
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<p>Spatial distribution of different RUSLE factors. <span class="html-italic">R</span>, <span class="html-italic">K</span>, <math display="inline"><semantics> <mrow> <mi>L</mi> <mi>S</mi> </mrow> </semantics></math>, <span class="html-italic">C</span> and <span class="html-italic">P</span> serially from left to right.</p>
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<p>Soil erosion rate of the Kabeli catchment. The categorization of erosion risk is based on Singh et al., 1992 [<a href="#B59-water-16-03549" class="html-bibr">59</a>].</p>
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<p>Erosion rate for different soil erosion categories.</p>
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<p>SDR raster map of the Kabeli catchment.</p>
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<p>Histogram distribution for the SDR values in the Kabeli catchment.</p>
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<p>Sediment yield from Kabeli catchment from the RUSLE and SDR model.</p>
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<p>Correlation between factors of RUSLE, sediment erosion, sediment delivery ratio and sediment yield.</p>
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<p>Specific sediment yield of different rivers. Red color bar is for Kabeli River, blue is for Koshi River Basin, gray is for other river basins of Nepal and green is for rivers in other countries [<a href="#B68-water-16-03549" class="html-bibr">68</a>,<a href="#B69-water-16-03549" class="html-bibr">69</a>,<a href="#B70-water-16-03549" class="html-bibr">70</a>,<a href="#B71-water-16-03549" class="html-bibr">71</a>,<a href="#B72-water-16-03549" class="html-bibr">72</a>,<a href="#B73-water-16-03549" class="html-bibr">73</a>,<a href="#B74-water-16-03549" class="html-bibr">74</a>,<a href="#B75-water-16-03549" class="html-bibr">75</a>,<a href="#B76-water-16-03549" class="html-bibr">76</a>,<a href="#B77-water-16-03549" class="html-bibr">77</a>,<a href="#B78-water-16-03549" class="html-bibr">78</a>].</p>
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18 pages, 2817 KiB  
Article
A Comparative Study on Acoustic Characteristics of Methane and Tetrahydrofuran Hydrate-Bearing Sediments
by Wengao Zhao, Qingtao Bu, Zihao Wang, Tong Liu, Qingguo Meng, Yapeng Zhao and Gaowei Hu
J. Mar. Sci. Eng. 2024, 12(12), 2239; https://doi.org/10.3390/jmse12122239 - 5 Dec 2024
Viewed by 525
Abstract
Laboratory acoustic measurements of hydrate-bearing sediments serve as an important reference for the geological interpretation of seismic exploration data. Tetrahydrofuran (THF) hydrates are relatively easy to form with precise control of hydrate saturation, and they overcome the long time it takes for methane [...] Read more.
Laboratory acoustic measurements of hydrate-bearing sediments serve as an important reference for the geological interpretation of seismic exploration data. Tetrahydrofuran (THF) hydrates are relatively easy to form with precise control of hydrate saturation, and they overcome the long time it takes for methane in sediments to form hydrate. However, when THF hydrates are used as a substitute for methane hydrate, their acoustic properties yield different results. This study reports the results of a series of laboratory experiments on the formation of methane and THF hydrate in quartz sand and the evaluation of their acoustic properties. It compares the experimental results with the results of calculations from micro-distribution models of the four hydrates using effective medium theory (EMT). Methane hydrate formed by the excess gas method has higher acoustic velocities than THF hydrate at 0–80% saturation, but at 80–100% saturation, the situation reverses, with THF hydrate having a higher wave velocity. The methane hydrate synthesis process follows a mixed micro-distribution, with grain coating predominating at low saturations, the pore-filling mixing mode dominating at medium saturations, and grain coating dominating at high saturations. In addition, THF hydrate has a slow-velocity growth at low saturation and is dominated by a pore-filling model and a load-bearing model at high saturation. We compared our experimental data with a compilation of similar published results to confirm their reliability and support our conclusions. Both hydrate types exhibit distinct micro-distributions across different saturations. Therefore, when testing the elastic characteristics of hydrate sediments, the distinct hydrate synthesis methods and micro-distribution should be considered, especially when using THF hydrate as an alternative to methane hydrate. Full article
(This article belongs to the Section Geological Oceanography)
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<p>Experimental device for gas hydrate formation and acoustic velocity detection. T and P denote the temperature and pressure, respectively.</p>
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<p>Particle size distribution of the sediment. The black curve represents the cumulative distribution of natural sand particle sizes. The blue histogram shows the different distributions of natural sand particle sizes.</p>
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<p>Ultrasonic waveforms of samples with different methane hydrate saturations. A decrease in P-wave arrival times with increasing hydrate saturation can be observed.</p>
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<p>Ultrasonic waveforms of samples with different tetrahydrofuran (THF) hydrate saturations. A decrease in P-wave arrival times with increasing hydrate saturation can be observed.</p>
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<p>Comparison of the methane (<b>a</b>,<b>b</b>) and THF (<b>c</b>,<b>d</b>) hydrate-bearing sediment experimental data in this study with data from published papers [<a href="#B9-jmse-12-02239" class="html-bibr">9</a>,<a href="#B10-jmse-12-02239" class="html-bibr">10</a>,<a href="#B22-jmse-12-02239" class="html-bibr">22</a>,<a href="#B31-jmse-12-02239" class="html-bibr">31</a>,<a href="#B32-jmse-12-02239" class="html-bibr">32</a>,<a href="#B33-jmse-12-02239" class="html-bibr">33</a>,<a href="#B47-jmse-12-02239" class="html-bibr">47</a>,<a href="#B48-jmse-12-02239" class="html-bibr">48</a>,<a href="#B49-jmse-12-02239" class="html-bibr">49</a>,<a href="#B50-jmse-12-02239" class="html-bibr">50</a>]. (Lines show data approximation by the 3rd-order polynomials).</p>
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<p>Schematic diagrams of four distinct hydrate morphologies (modified from [<a href="#B56-jmse-12-02239" class="html-bibr">56</a>]). (<b>a</b>) Pore-filling; (<b>b</b>) load-bearing; (<b>c</b>) contact-cementing; (<b>d</b>) grain-coating. Blue—matrix grains; white—pore space; yellow—hydrate.</p>
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<p>Comparison of obtained compressional and shear wave velocities in samples bearing methane (<b>a</b>,<b>b</b>) and THF (<b>c</b>,<b>d</b>) hydrate with estimation by EMT.</p>
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<p>Comparison of acoustic velocities of methane and THF hydrate-bearing sediments.</p>
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32 pages, 14295 KiB  
Article
Assessing Non-Point Source Pollution in a Rapidly Urbanizing Sub-Basin to Support Intervention Planning
by Endaweke Assegide, Tena Alamirew, Greg O’Donnell, Bitew K. Dessie, Claire L. Walsh and Gete Zeleke
Water 2024, 16(23), 3447; https://doi.org/10.3390/w16233447 - 29 Nov 2024
Viewed by 607
Abstract
Non-point sources of pollution (NPSPs) originating from runoff from contaminated agricultural and populated areas are becoming a growing concern in developing countries, endangering the environment and public health. This requires systematic investigation, including modelling the likely impact using an appropriate hydrological model. This [...] Read more.
Non-point sources of pollution (NPSPs) originating from runoff from contaminated agricultural and populated areas are becoming a growing concern in developing countries, endangering the environment and public health. This requires systematic investigation, including modelling the likely impact using an appropriate hydrological model. This study quantified the spatiotemporal variation of the NPSP and prioritised the most vulnerable sub-watersheds for intervention planning. We investigated the effects of land use and cover (LULC) conversion on runoff generation and NPSP loads in terms of sediment, phosphate, total nitrogen, total phosphorus, and nitrate loading using the SWAT model. The principal source of data utilised to assess the change in NPSP loads was the 2003 and 2023 LULC. The analysis of the results showed that grassland and shrubland substantially changed, with 96.7% and 74.4% reductions, respectively, while the increase in agricultural land was 147.3% and that of built-up areas increased by 80.14%. The mean yearly increase in sediment yield ranges from 25.46 to 27,298.75 t, while the mean yearly increase in surface runoff ranges from 183.1 mm to 487.9 mm. The minimum recorded runoff was 10.69 mm (5.1%) in WS03, while the highest was 123.3 mm (66.5%) in WS02. The NO3 load increased from 127.6 to 20,739.7 kg, and the PO43− load increased from 3.12 to 2459.7 kg. The TN load increased from 4465.5 to 482,014.5 kg, and the TP load increased from 1383.5 to 133,641.3 kg. The monthly analysis of nitrate loading revealed that the “Belg” season has the highest nitrate load than the rainy season, probably due to nitrification. The findings clearly showed that the inputs applied to the farms were not effectively utilised for the intended purpose. Hence, efforts must be made to ensure that nutrients remain in the catchment through an appropriate land management intervention. Full article
(This article belongs to the Section Urban Water Management)
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<p>Map of the upper Awash study area.</p>
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<p>The calibration and validation periods for stream flow, sediment (<b>a</b>), and nutrient (<b>b</b>).</p>
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<p>Maps showing land cover and use from 2003 (<b>a</b>) and 2023 (<b>b</b>).</p>
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<p>LULC change (2003–2023) direction of transformation (<b>a</b>), sum of change (<b>b</b>), and change matrix (<b>c</b>) analysis.</p>
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<p>LULC percentage change from 2003 to 2023.</p>
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<p>Flow calibrated and validated at Hombole (1984–2018) (<b>a</b>) and flow validated at Melka Kunture (2007–2018) (<b>b</b>) gauging stations.</p>
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<p>The flow simulated and observed at Hombole during calibration (<b>a</b>) and validation (<b>b</b>) and Melka Kunture during validation (<b>c</b>).</p>
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<p>The calibration and validation of sediment at Hombole (<b>a</b>) and Melka Kunture (<b>b</b>) gauging stations.</p>
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<p>Average annual soil loss rate (t/ha/year) for each upper Awash basin sub-watershed between 2003 and 2023.</p>
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<p>Map of average soil loss (t/h/y) severity class for the upper Awash sub-basin.</p>
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<p>Melka Kuture gauging station monthly nitrate (<b>a</b>), phosphate (<b>b</b>), total phosphorous (<b>c</b>), and total nitrogen (<b>d</b>) load calibration (2011–2014) and validation (2015–2019).</p>
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<p>Melka Kuture gauging station monthly nitrate (<b>a</b>), phosphate (<b>b</b>), total phosphorous (<b>c</b>), and total nitrogen (<b>d</b>) load calibration (2011–2014) and validation (2015–2019).</p>
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<p>The runoff distribution and NPSP loads: runoff (<b>a</b>), nitrate (<b>b</b>), total nitrogen (<b>c</b>), phosphate (<b>d</b>), total phosphorous (<b>e</b>), and sediment (<b>f</b>).</p>
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<p>The temporal runoff and NPSP loads of upper Awash basin: average monthly runoff (<b>a</b>), average annual runoff (<b>b</b>), average monthly nitrate load (<b>c</b>), average annual nitrate (<b>d</b>), average monthly total nitrogen (<b>e</b>), average annual total nitrogen (<b>f</b>), average monthly phosphate (<b>g</b>), average annual phosphate (<b>h</b>), average monthly total phosphorous (<b>i</b>), average annual total phosphorous (<b>j</b>), average monthly sediment (<b>k</b>), and average annual sediment (<b>l</b>).</p>
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<p>The temporal runoff and NPSP loads of upper Awash basin: average monthly runoff (<b>a</b>), average annual runoff (<b>b</b>), average monthly nitrate load (<b>c</b>), average annual nitrate (<b>d</b>), average monthly total nitrogen (<b>e</b>), average annual total nitrogen (<b>f</b>), average monthly phosphate (<b>g</b>), average annual phosphate (<b>h</b>), average monthly total phosphorous (<b>i</b>), average annual total phosphorous (<b>j</b>), average monthly sediment (<b>k</b>), and average annual sediment (<b>l</b>).</p>
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<p>The temporal runoff and NPSP loads of upper Awash basin: average monthly runoff (<b>a</b>), average annual runoff (<b>b</b>), average monthly nitrate load (<b>c</b>), average annual nitrate (<b>d</b>), average monthly total nitrogen (<b>e</b>), average annual total nitrogen (<b>f</b>), average monthly phosphate (<b>g</b>), average annual phosphate (<b>h</b>), average monthly total phosphorous (<b>i</b>), average annual total phosphorous (<b>j</b>), average monthly sediment (<b>k</b>), and average annual sediment (<b>l</b>).</p>
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<p>The yearly average surface runoff (<b>a</b>), % change in surface runoff (<b>b</b>), sediment load (<b>c</b>), and percentage change in sediment load (<b>d</b>) from 2003 to 2023.</p>
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<p>Impact of LULC change in NO<sub>3</sub> load (<b>a</b>), change in NO<sub>3</sub> load (<b>b</b>), change in PO<sub>4</sub> load (<b>c</b>), and change in PO<sub>4</sub> (<b>d</b>).</p>
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<p>Sub-watershed level; TN and TP change in (t/yr.) (<b>a</b>), TN and TP change in (%) (<b>b</b>), TN and TP load (t/yr.) (<b>c</b>).</p>
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<p>Sub-watershed level; TN and TP change in (t/yr.) (<b>a</b>), TN and TP change in (%) (<b>b</b>), TN and TP load (t/yr.) (<b>c</b>).</p>
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21 pages, 6430 KiB  
Article
Effects of Forest Operations on Runoff and Sediment Variations in Catchments Under Intense Forest Activity and Climate Stress in the South-Central Chile
by Daniel Sanhueza, Giacomo Pellegrini, Andrés Iroumé and Lorenzo Picco
Water 2024, 16(22), 3337; https://doi.org/10.3390/w16223337 - 20 Nov 2024
Viewed by 536
Abstract
Forestry operations and climate variability affect hydrologic response and sediment transport. Management of forested catchments under intense forestry activity in areas under climatic stress is critical. This study analyzes the impact of forest operations (thinning and clearcutting) on runoff (Q) and suspended sediment [...] Read more.
Forestry operations and climate variability affect hydrologic response and sediment transport. Management of forested catchments under intense forestry activity in areas under climatic stress is critical. This study analyzes the impact of forest operations (thinning and clearcutting) on runoff (Q) and suspended sediment loads (SSL) in three small catchments (named N02, N03 and N04, respectively) in south-central Chile, where rainfall has decreased by 20% since 2010. Using modified double mass curves and piecewise regression, we separated the effects of forest practices and climate. Thinning in N02 initially reduced Q and SSL, with stable Q overtime, while final harvest in N03 and N04 increased Q, although less than expected. SSL surged post-harvest: 3.6 times in N03 and 1.8 times in N04, potentially linked to hillslope instability. Major SSL events contributed over 55% of post-harvest sediment yield in both catchments, with maximum yields reaching 7.2 tons ha−1 yr−1 in N03 and 4.1 tons ha−1 yr−1 in N04. SSL recovered to pre-harvest levels by the third year, except during a rainy year. Management practices likely contributed to lower SSL and faster recovery. These findings improve our understanding of catchment responses to forest practices and climate change, aiding sustainable forest and water resource management. Full article
(This article belongs to the Special Issue Catchment Hydrology under Climate Change)
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<p>(<b>A</b>) Study area location; the gray area represents the administrative boundary of the Biobío Region in Chile. (<b>B</b>) Forested catchments selected for the study.</p>
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<p>Annual PP and PET in the study area; gray bars represent total PP, violet segmented line represents the historical average, blue segmented line represents the mean PP for the 2010–2019 period (1186 mm yr<sup>−1</sup>) and red segmented lines represent mean PET for the 2008–2010 period (1239 mm yr<sup>−1</sup>) and the 2010–2019 period (1322 mm yr<sup>−1</sup>). Pre-drought (2008–2010) and drought (2010–2019) conditions were represented with different colors and delimited with a black segmented line.</p>
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<p>(<b>A</b>) Monthly PP and PET totals in the study area. The black and red segmented lines represent the linear trends of PP and PET over time, respectively. (<b>B</b>) Monthly PP and PET means in the study area. Pre- and post-(drought) monthly means are represented by continuous and segmented lines, respectively. The dotted lines delimit the periods corresponding to the dry (grey boxes) and wet (blue box) seasons according to the hydrological year in the study area.</p>
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<p>Monthly cumulative difference between PP and PET from pre drought to drought conditions and in the study area. Black dots represent the value of the cumulative difference between PP and PET, and the red line represents the fluctuation between the values.</p>
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<p>(<b>A</b>,<b>C</b>,<b>E</b>) are modified double mass curves (MDMCs) with the accumulated monthly runoff (Qa) plotted against the accumulated monthly effective precipitation (ePa) for N02, N03 and N04, respectively; red lines represent the data recorded before the break points (BP) in the curves, continuous black lines represent the data recorded after the BP, black segmented lines represent predicted values and the linear equation of the data before BP is presented. (<b>B</b>,<b>D</b>,<b>F</b>) are monthly runoff (Q) records for N02, N03 and N04 respectively; black lines represent monthly runoff, red segmented lines represent month of operations and yellow segmented lines represent the month of the BP from MDMC’s analysis.</p>
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<p>Accumulated monthly runoff deviation (ΔQa) and its components for each catchment N02 (<b>A</b>), N03 (<b>B</b>) and N04 (<b>C</b>). ΔQa, accumulated monthly streamflow deviation; ΔQaf, accumulated forest operations effect; ΔQac, accumulated climatic effect.</p>
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<p>(<b>A</b>,<b>C</b>,<b>E</b>) are MDMCs with the accumulated monthly suspended sediment load (mSSLa) plotted against the accumulated monthly runoff (Qa) for N02, N03 and N04, respectively; red lines represent the data recorded before the BP, continuous black lines represent the data recorded after the BP, black segmented lines represent predicted values and the linear equation of the data before BP is presented. (<b>B</b>,<b>D</b>,<b>F</b>) are monthly suspended sediment load (mSSL) records for N02, N03 and N04, respectively; black lines represent mSSL, red segmented lines represent month of operations and yellow segmented lines represent the month of the BP from the MDMCs analysis.</p>
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<p>(<b>A</b>–<b>C</b>) are the total accumulated monthly SSL deviation (ΔmSSLa) and its components, total monthly deviation associated to forest operations (ΔmSSLaf) and total monthly deviation associated to climate variability (ΔmSSLac) for N02, N03 and N04, respectively.</p>
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15 pages, 2396 KiB  
Article
Isolation and Characterization of Biosurfactant-Producing Bacteria for Enhancing Oil Recovery
by Meiyu Jiang, Hongyi Wang, Jiahui Liu, Xuan Hou, Yuanyuan Zhang, Xiaolin Liu, Shiping Wei and Qingfeng Cui
Processes 2024, 12(11), 2575; https://doi.org/10.3390/pr12112575 - 17 Nov 2024
Viewed by 843
Abstract
Biosurfactants produced by bacteria possess remarkable emulsification properties for crude oil, significantly enhancing oil mobility and recovery rates. This study aimed to isolate and screen biosurfactant-producing bacteria for oil enhancing recovery. A total of 93 bacterial strains were isolated from marine sediments, with [...] Read more.
Biosurfactants produced by bacteria possess remarkable emulsification properties for crude oil, significantly enhancing oil mobility and recovery rates. This study aimed to isolate and screen biosurfactant-producing bacteria for oil enhancing recovery. A total of 93 bacterial strains were isolated from marine sediments, with three high-yield biosurfactant-producing strains identified: Pseudomonas aeruginosa N33, Bacillus paralicheniformis Nian2, and Stenotrophomonas nematodicola T10. The fermentation conditions, such as pH, carbon source, nitrogen source, and C/N ratio, were optimized to maximize the yield and activity of biosurfactants. Further evaluations were performed to assess the stability of the bio-surfactant activity and its emulsification properties. The results indicated that all three strains produced biosurfactants that retained their oil displacement activity in the presence of Na+ and Mg2+, but showed a significant reduction in their activities in the presence of Ca2+. The biosurfactants maintained their original activity after treatment at 120 °C for 3 h. Additionally, the biosurfactants produced by all three strains demonstrated excellent oil emulsification capabilities. Static oil-washing and dynamic displacement experiments revealed static oil recovery rates of 28.1%, 23.4%, and 7.1%, respectively, for N33, Nian2, and T10, and dynamic oil displacement recovery rates of 95.0%, 74.1%, and 69.0%, respectively. This research provides valuable microbial resources for enhancing oil recovery via microorganisms and lays a foundation for practical application. Full article
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<p>Screening of surfactant-producing bacteria by the oil displacement ring method. The paraffin oil was stained with Sudan red for easier observation.</p>
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<p>Phylogenetic tree of bacteria N33, Nian2, T10 with the related species of biosurfactant based on 16S rRNA sequence. The scale bar represents a 2% nucleotide sequence divergence.</p>
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<p>Optimization of fermentation conditions for bacterial surfactant production ((<b>A</b>), pH; (<b>B</b>), carbon source; (<b>C</b>), nitrogen source; (<b>D</b>), C/N ratio).</p>
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<p>Effects of mineral ions (<b>A</b>–<b>C</b>) and temperature (<b>D</b>–<b>F</b>) on the stability of surfactants produced by N33, Nian2, T10 strains ((<b>A</b>), Na<sup>+</sup>; (<b>B</b>), Mg<sup>2+</sup>; (<b>C</b>), Ca<sup>2+</sup>; (<b>D</b>), N33, (<b>E</b>), Nian2, (<b>F</b>), T10).</p>
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<p>Emulsification of petroleum by bacterial surfactants (<b>A</b>) and emulsification rate (<b>B</b>). M: medium; W: water.</p>
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<p>Static oil washing efficiency (<b>A</b>–<b>D</b>) and dynamic oil recovery performance (<b>E</b>,<b>F</b>) of biosurfactants produced by strains N33, Nian2, and T10. Arrows indicate injection water (<b>E</b>) and bacteria-produced surfactant (<b>F</b>).</p>
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17 pages, 1090 KiB  
Article
The Possibility of Environmentally Sustainable Yield and Quality Management of Spring Wheat (Triticum aestivum L.) of the Cornetto Variety When Using Sapropel Extract
by Pavel Dmitriyev, Alexander Bykov, Ivan Zuban, Ivan Fomin, Saltanat Ismagulova, Kirill Ostrovnoy and Inna Jemaledinova
Sustainability 2024, 16(22), 9870; https://doi.org/10.3390/su16229870 - 12 Nov 2024
Viewed by 713
Abstract
Sustainable development is one of the main directions of modern agriculture. First of all, sustainability in the agricultural sector can be achieved through the possible abandonment of traditional mineral fertilizers. Many decades of using these fertilizers have led to the degradation of arable [...] Read more.
Sustainable development is one of the main directions of modern agriculture. First of all, sustainability in the agricultural sector can be achieved through the possible abandonment of traditional mineral fertilizers. Many decades of using these fertilizers have led to the degradation of arable soils and to soil and environmental pollution. As a result, this causes reductions in yields and the environmental quality of agricultural products and affects the health of the population. An alternative to traditional mineral fertilizers may be the use of innovative organomineral fertilizers obtained from local resources. These include manure, humus, compost, sediments, etc. In recent years, fertilizers obtained from the sapropels of the bottom sediments of lakes have become widespread. Their distinctive feature is the environmental friendliness and completeness of the content of chemical elements and substances necessary for the development and growth of plants. In addition, the methods of obtaining and applying these fertilizers allow us to talk about their effectiveness in use. The range of applications of these fertilizers is diverse, from use in the form of a dry extract applied directly to the soil to the use of liquid suspensions used at various stages of processing and from pre-sowing seed treatment to watering and spraying plants at different periods of vegetation. Moreover, an important aspect is the research work on the variational use of sapropel fertilizers on different crops, with different methods of production and concentrations and at different stages of processing. This publication contains the results of a study of the effect of the obtained innovative sapropel fertilizer on productivity, wheat grain quality, and economic efficiency (Triticum aestivum L.). To identify the optimal concentration of sapropel extract, laboratory studies were carried out to determine the germination energy and germination of wheat seeds of different varieties when they were soaked in various concentrations: 0.4, 0.8, 1.2, 1.6, and 2.0 g/L. The best indicators of germination energy and germination of wheat seeds during treatment with the extract were obtained at a concentration of 1.2 g/L. The research was conducted at an accredited variety testing laboratory. A field experiment was conducted in the fields of the agrobiological station of North Kazakhstan University named after Manash Kozybayev. The treatment of the seeds was carried out by soaking them in sapropel extract to evenly distribute the substance. The scheme of the field experiment included the option of using foliar treatment with a solution of sapropel extract at the tillering stage. As a result of the application of the obtained extract in the field, environmental and socio-economic efficiency was noted. The conducted field studies note its positive effect and effectiveness on the morphological, qualitative, and quantitative indicators of the wheat harvest. In the areas where wheat seeds were pretreated, as well as where foliar treatment with the resulting sapropel suspension was carried out, the best yield indicators were revealed. In these variants of the experiment with pre-sowing and pre-sowing and foliar treatment with the sapropel extract solution, the yield was 3.63 and 3.81 tons per hectare, respectively. The introduction of sapropel extract at the stage of seed treatment before sowing, as well as foliar processing of wheat at the tillering stage, will increase the efficiency and profitability of the agricultural industry and obtain a synergistic effect in the form of socio-economic efficiency and environmental safety of production. In our opinion, this will contribute to the development of sustainable agriculture and the production of environmental products. Full article
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<p>Scheme of field experience at the stage of vegetation.</p>
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<p>The polynomial trend of determining the optimal concentration of the effect of sapropel extract “Saprolin” on (<b>a</b>) the germination energy of different wheat varieties; (<b>b</b>) the germination of seeds of different wheat varieties.</p>
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<p>The average yield of wheat, according to the results of the experiment, tons per hectare, with a percentage margin of error.</p>
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19 pages, 3429 KiB  
Article
Were Neanderthals the First Collectors? First Evidence Recovered in Level 4 of the Prado Vargas Cave, Cornejo, Burgos and Spain
by Marta Navazo Ruiz, Alfonso Benito-Calvo, María Carmen Lozano-Francisco, Rodrigo Alonso Alcalde, Pedro Alonso García, Héctor de la Fuente Juez, Marta Santamaría Diez and Paula Cristóbal Cubillo
Quaternary 2024, 7(4), 49; https://doi.org/10.3390/quat7040049 - 12 Nov 2024
Viewed by 11461
Abstract
Collecting is a form of leisure, and even a passion, consisting of collecting, preserving and displaying objects. When we look for its origin in the literature, we are taken back to “the appearance of writing and the fixing of knowledge”, specifically with the [...] Read more.
Collecting is a form of leisure, and even a passion, consisting of collecting, preserving and displaying objects. When we look for its origin in the literature, we are taken back to “the appearance of writing and the fixing of knowledge”, specifically with the Assyrian King Ashurbanipal (7th century BC, Mesopotamia), and his fondness for collecting books, which in his case were in the form of clay tablets. This is not, however, a true reflection, for we have evidence of much earlier collectors. The curiosity and interest in keeping stones or fossils of different colors and shapes, as manuports, is as old as we are. For decades we have had evidence of objects of no utilitarian value in Neanderthal homes. Several European sites have shown that these Neanderthal groups treasured objects that attracted their attention. On some occasions, these objects may have been modified to make a personal ornament and may even have been integrated into subsistence activities such as grinders or hammers. Normally, one or two such specimens are found but, to date, no Neanderthal cave or camp has yielded as many as the N4 level of Prado Vargas Cave. In the N4 Mousterian level of Prado Vargas, 15 specimens of Upper Cretaceous marine fossils belonging to the Gryphaeidae, Pectinidae, Cardiidae, Pholadomyidae, Pleurotomariidae, Tylostomatidae and Diplopodiidae families were found in the context of clay and autochthonous cave sediments. During MIS 3, a group of Neanderthals transported at least fifteen marine fossils, which were collected from various Cretaceous units located in the surrounding area, to the Prado Vargas cave. The fossils, with one exception, show no evidence of having been used as tools; thus, their presence in the cave could be attributed to collecting activities. These activities could have been motivated by numerous tangible and intangible causes, which suggest that collecting activities and the associated abstract thinking were present in Neanderthals before the arrival of modern humans. Full article
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<p>Map of the archaeological sites mentioned in the text. 1, West Tofts; 2, Swanscomb; 3, Bedford; 4, Beaunesque; 5, Saint Acheul; 6, Bléville; 7, Roche au Loup; 8, Grotta du Renne; 9, Grotte de L’Hyene; 10, Saint Cesaire; 11, La Ferrasie; 12, Combe Grenal; 13, Pech de L’Aze I; 14, Chez-Pourré-Chez-Comte; 15, Lunel-Viel; 16, Arlanpe; 17, Prado Vargas; 18, Cueva Antón; 19, Cueva de los Aviones; 20, Cueva de la Carihuela; 21, Tata; 22, Bordul Mare Cave; 23, Erfoud.</p>
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<p>Geological and geographical situation of Prado Vargas site. (<b>A</b>) Geographical situation in the Iberian Peninsula. (<b>B</b>) Main geological units. (<b>C</b>) Topographical location. (<b>D</b>) Geological units and structures around Prado Vargas cave (after Ramírez del Pozo et al., 1978 [<a href="#B29-quaternary-07-00049" class="html-bibr">29</a>]). Legend: 1, Sandstones and limonite (Early Cretaceous, Albian), 2, Carbonated sandstones and sandy limestones (Late Cretaceous, Lower Cenomanian), 3, Marls and clayey limestones (Late Cretaceous, Upper-Middle Cenomanian), 4, Limestones and clayey limestones (Late Cretaceous, Lower Turonian), 5, Marls and clayey limestones (Late Cretaceous, Turonian-Lower Coniacian), 6, Limestones and dolostones (Late Cretaceous, Middle-Upper Coniacian), 7, Limestones and clayey limestones (Late Cretaceous, Lower Santonian), 8, Limestones and marls (Late Cretaceous, Middle-Upper Santonian), 9, Sandy Limestones (Late Cretaceous, Campanian), 10, Green claystone (Late Cretaceous, Maastrichtian), 11, Limestones and sandy limestones (Late Cretaceous, Maastrichtian), 12, Gravels, sands and clays (Quaternary), 13, Faults, 14, Thrust, 15, Syncline, 16, Anticline.</p>
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<p>Distribution of archaeological record from Level 4.</p>
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<p>Marine fossils from Level 4. (<b>A</b>) <span class="html-italic">Pholadomya gigantea</span> (Sowerby, 1836) (PV18 H29 159); (<b>B</b>) <span class="html-italic">Granocardium productum</span> (Sowerby, 1832) (PV22 9047); (<b>C</b>) <span class="html-italic">Pleurotomaria</span> sp. (PV20 F27); (<b>D</b>) Tetragramma variolare (Brongniart, 1822) (PV19 G27).</p>
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<p>Marine fossils from Level 4. (<b>A</b>) <span class="html-italic">Tylostoma ovatum</span> Sharpe, 1849. (PV17 G28 112); (<b>B</b>) <span class="html-italic">Tylostoma ovatum</span> Sharpe, 1849 (PV17 G28 112) in situ; (<b>C</b>) <span class="html-italic">Tylostoma ovatum</span> Sharpe, 1849 (PV21 7804); (<b>D</b>) <span class="html-italic">Tylostoma cossoni</span> Thomas and Peron, 1889 (PV22 8767).</p>
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<p>Marine fossils from Level 4. (<b>A</b>) <span class="html-italic">Tylostoma</span> sp. (PV20 5239); (<b>B</b>) <span class="html-italic">Tylostoma</span> sp. (PV18 H30 196); (<b>C</b>) <span class="html-italic">Tylostoma</span> sp. (PV21 7515).</p>
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16 pages, 18082 KiB  
Article
Land-Use-Change-Driven Erosion and Sediment Transport in the Yaqui River Sub-Basin (Mexico): Insights from Satellite Imagery and Hydraulic Simulations
by Omar Salvador Areu-Rangel, Miguel Ángel Hernández-Hernández and Rosanna Bonasia
Land 2024, 13(11), 1846; https://doi.org/10.3390/land13111846 - 6 Nov 2024
Viewed by 1036
Abstract
Soil erosion and sediment transport are significant concerns in the Yaqui River sub-basin in northwest Mexico, driven by land use changes and environmental degradation. This study aims to evaluate erosion processes between 2000 and 2020 using a combination of satellite imagery and numerical [...] Read more.
Soil erosion and sediment transport are significant concerns in the Yaqui River sub-basin in northwest Mexico, driven by land use changes and environmental degradation. This study aims to evaluate erosion processes between 2000 and 2020 using a combination of satellite imagery and numerical simulations with Iber software (Version 2.5.2). The primary objective is to assess the impacts of land use changes, particularly the conversion of forest to grassland, on erosion rates and sediment transport. Satellite images from 2000 and 2020 were analyzed to detect land cover changes, while Iber’s sediment transport module was used to simulate erosion patterns based on the Meyer–Peter and Müller equation for bedload transport. Hydrological and topographical data were incorporated to provide accurate simulations of flow velocity, depth, and erosion potential. The results reveal a 35.3% reduction in forest cover, leading to increased erosion and sediment transport in steep areas. Simulation predictions highlighted areas with high future erosion potential, which are at risk of further soil loss if current trends continue. Flow velocity increased, contributing to riverbank destabilization and higher sediment yield, posing a risk to infrastructure such as the Álvaro Obregón Dam. This study underscores the need for targeted erosion control measures and sustainable land management practices to mitigate future risks and protect vital infrastructure in the Yaqui River Basin. Full article
(This article belongs to the Special Issue Ecological and Disaster Risk Assessment of Land Use Changes)
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<p>Location map of the Yaqui River basin in the state of Sonora.</p>
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<p>Land use and lithological characteristics maps of the study area [<a href="#B35-land-13-01846" class="html-bibr">35</a>]. The lithology map corresponds to 2019, and the land use map corresponds to 2021.</p>
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<p>Result of the processing of satellite images of the study area. (<b>a</b>,<b>b</b>) Original satellite images corresponding to the 2000 and 2020 scenarios, respectively. (<b>c</b>,<b>d</b>) Land use maps obtained with image processing for the 2000 and 2020 scenarios, using the CLC database.</p>
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<p>Map of soil evolution from 2000 to 2020, result of the analysis of satellite images. A decrease in forest cover of 35.3% is observed.</p>
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<p>Results of hydraulic simulations. Flow depth: (<b>a</b>) 2000 scenario and (<b>b</b>) 2020 scenario. Flow velocity: (<b>c</b>) 2000 scenario and (<b>d</b>) 2020 scenario.</p>
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<p>Results of sediment transport and erosion simulations: (<b>a</b>) 2000 scenario and (<b>b</b>) 2020 scenario.</p>
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<p>Comparison of erosion and land use change in the basin between 2000 and 2020. Light purple areas indicate land use change from deciduous forest to grassland. The highlighted zones (1, 2, and 3) show regions with notable erosion increase due to steep slopes and land use changes.</p>
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<p>Erosion potential areas in a sub-basin of the Yaqui River, highlighting regions with high future erosion potential (marked as “a”, “b”, and “c”) due to slopes and potential future soil degradation.</p>
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