[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Ciglenečki et al., 2020 - Google Patents

Accumulation of organic matter in a mesotidal Mediterranean lagoon (Boughrara, Tunisia)

Ciglenečki et al., 2020

Document ID
1460033321568546103
Author
Ciglenečki I
Čanković M
Kuzmić M
Pagano M
Publication year
Publication venue
Estuarine, coastal and shelf science

External Links

Snippet

In the frame of the COZOMED project, concentrations of organic matter (TOC, DOC, POC) were monitored during two seasonal field campaigns (autumn, October 2016 and spring, April 2017) in the Boughrara Lagon, Tunisia. Results indicate strong influence of the …
Continue reading at www.sciencedirect.com (other versions)

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
    • G01N21/75—Systems in which material is subjected to a chemical reaction, the progress or the result of the reaction being investigated
    • G01N21/77—Systems in which material is subjected to a chemical reaction, the progress or the result of the reaction being investigated by observing the effect on a chemical indicator
    • G01N21/78—Systems in which material is subjected to a chemical reaction, the progress or the result of the reaction being investigated by observing the effect on a chemical indicator producing a change of colour
    • G01N21/80—Indicating pH value
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G01N21/314—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry with comparison of measurements at specific and non-specific wavelengths
    • G01N2021/3155—Measuring in two spectral ranges, e.g. UV and visible
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infra-red light
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
    • G01N33/0004—Gaseous mixtures, e.g. polluted air
    • G01N33/0009—General constructional details of gas analysers, e.g. portable test equipment
    • G01N33/0027—General constructional details of gas analysers, e.g. portable test equipment concerning the detector
    • G01N33/0036—Specially adapted to detect a particular component
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
    • G01N33/18—Water
    • G01N33/1826—Water organic contamination in water
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
    • G01N33/18—Water
    • G01N33/1893—Water using flow cells
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
    • G01N33/02—Investigating or analysing materials by specific methods not covered by the preceding groups food
    • G01N33/14—Investigating or analysing materials by specific methods not covered by the preceding groups food beverages

Similar Documents

Publication Publication Date Title
Hou et al. Global mapping reveals increase in lacustrine algal blooms over the past decade
Brezonik et al. Factors affecting the measurement of CDOM by remote sensing of optically complex inland waters
Dinsmore et al. Temperature and precipitation drive temporal variability in aquatic carbon and GHG concentrations and fluxes in a peatland catchment
Bai et al. Remote sensing of salinity from satellite‐derived CDOM in the Changjiang River dominated East China Sea
Song et al. Dissolved carbon in a large variety of lakes across five limnetic regions in China
Griffin et al. Spatial and interannual variability of dissolved organic matter in the Kolyma River, East Siberia, observed using satellite imagery
Rodríguez-López et al. Spectral analysis using LANDSAT images to monitor the chlorophyll-a concentration in Lake Laja in Chile
Meng et al. A long-term survey on anthropogenic impacts to the water quality of coral reefs, southern Taiwan
Du et al. A spatially weighted neural network based water quality assessment method for large-scale coastal areas
Miller The influence of reservoirs, climate, land use and hydrologic conditions on loads and chemical quality of dissolved organic carbon in the Colorado River
Hossler et al. Estimation of riverine carbon and organic matter source contributions using time‐based isotope mixing models
Ma et al. Machine Learning Based Long‐Term Water Quality in the Turbid Pearl River Estuary, China
Cherukuru et al. Estimating dissolved organic carbon concentration in turbid coastal waters using optical remote sensing observations
Liu et al. Floodwater impact on Galveston Bay phytoplankton taxonomy, pigment composition and photo-physiological state following Hurricane Harvey from field and ocean color (Sentinel-3A OLCI) observations
Palacios et al. Development of synthetic salinity from remote sensing for the Columbia River plume
Yagci et al. Daily monitoring of marine mucilage using the MODIS products: A case study of 2021 mucilage bloom in the Sea of Marmara, Turkey
Duan et al. Estimation of chlorophyll‐a concentration and trophic states for inland lakes in Northeast China from Landsat TM data and field spectral measurements
Ciglenečki et al. Accumulation of organic matter in a mesotidal Mediterranean lagoon (Boughrara, Tunisia)
Cho et al. Estimating submarine groundwater discharge in Jeju volcanic island (Korea) during a typhoon (Kong-rey) using humic-fluorescent dissolved organic matter-Si mass balance
Kostoglidis et al. CDOM and its contribution to the underwater light climate of a shallow, microtidal estuary in south-western Australia
Shanmugam et al. A modern robust approach to remotely estimate chlorophyll in coastal and inland zones
Haywood et al. Investigation of an early season river flood pulse: Carbon cycling in a subtropical estuary
Amora-Nogueira et al. Tropical forests as drivers of lake carbon burial
Wang et al. Developing remote sensing methods for monitoring water quality of alpine rivers on the Tibetan Plateau
Kim et al. Application of airborne hyperspectral imagery to retrieve spatiotemporal CDOM distribution using machine learning in a reservoir