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

Advertisement

Springer Nature Link
Log in

Assessment of the hydrological impact of land use/cover changes in a semi-arid basin using the SWAT model (case of the Oued Saïda basin in western Algeria)

  • Original Article
  • Published:
Modeling Earth Systems and Environment Aims and scope Submit manuscript

Abstract

Algeria is considered a country at risk in the index of vulnerability to climate change. In terms of water resources, there has been a significant decrease in water supply in the western part for three decades. This has led to changes in agricultural practices and the viability of natural species, as well as socio-political conditions and anthropogenic action at the watershed scale, which directly affect the water cycle. This study aims to quantify the impact of land use/land cover change on the hydrological response of the Oued Saida basin using the Swat model from 1998 to 2005. Satellite image time series of 1987 and 2002 were used for land use and cover from. A supervised classification approach, using the maximum likelihood classification method was used for the land cover of 1987 and 2002. In addition, post-classification was made to detect changes in land use/land cover. FAO soil data 30 m spatial resolution ASTER DEM data and 1998 to 2005 climate data set were combined as input data to the SWAT model land cover map (2002), with. First for the calibration phase, then those from 1987 was incorporated into the model as the scenario used for the assessment of land use change impacts. Evaluation of the accuracy of classified images was made with the error matrix. The global precision (the kappa coefficient) found for the 1987 (2002) image is 89.5% (95.9%). As a result, evolutionary analysis of land use change from 1987 to 2002 showed a decrease in agricultural area (9.20%), an increase in forest land (5.42%) and an increase in urbanized areas (2.77%). The results of the model calibration using the SWAT-CUP software’s SUFI-2 algorithm were satisfactory with a Nash Sutcliffe (NSE) efficiency coefficient of 0.56 and an R2 of 0.57. In addition, parameters related to soil properties and land use are the most sensitive. Changes in land cover have affected the runoff, increasing the average annual (monthly) peak flow by 2.5 to 3.5% (0 to 6%) at the expense of the seepage water and groundwater recharge. These changes are explained by socio-economic, political and anthropogenic conditions. The results obtained provide useful information about observed and land use trends and affected hydrological behaviors and can be a tool to assist decision-making in the development and management of the catchment area in a global vision.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
£29.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (United Kingdom)

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

References

  • Abbaspour KC (2013) Swat-cup 2012. SWAT calibration uncertain program—a user man

  • Abbaspour KC, Vejdani M, Haghighat S, Yang J (2007) SWAT-CUP calibration and uncertainty programs for SWAT. pp 1596–1602

  • Abbaspour KC, Rouholahnejad E, Vaghefi S et al (2015) A continental-scale hydrology and water quality model for Europe: calibration and uncertainty of a high-resolution large-scale SWAT model. J Hydrol 524:733–752

    Article  Google Scholar 

  • Abbaspour KC, Vaghefi SA, Srinivasan R (2017) A guideline for successful calibration and uncertainty analysis for soil and water assessment: a review of papers from the 2016 international SWAT conference. Water 10:6

    Article  Google Scholar 

  • Abbott MB, Bathurst JC, Cunge JA et al (1986) An introduction to the European Hydrological System—Systeme Hydrologique Europeen, “SHE”, 1: History and philosophy of a physically-based, distributed modelling system. J Hydrol 87:45–59. https://doi.org/10.1016/0022-1694(86)90114-9

    Article  Google Scholar 

  • Ahn G-C, Gordon SI, Merry CJ (2014) Impacts of remotely sensed land use data on watershed hydrologic change assessment. Int J Geospatial Environ Res 1:9. https://dc.uwm.edu/ijger/vol1/iss1/9

  • Andualem TG, Gebremariam B (2015) Impact of land use land cover change on stream flow and sediment yield: a case study of Gilgel Abay watershed, Lake Tana sub-basin, Ethiopia. Int J Technol Enhanc Emerg Eng Res 3:28–42

    Google Scholar 

  • Arnold J, Allen P (1996) Estimating hydrologic budgets for three Illinois watersheds. J Hydrol 176:57–77. https://doi.org/10.1016/0022-1694(95)02782-3

    Article  Google Scholar 

  • Arnold JG, Srinivasan R, Muttiah RS, Williams JR (1998) Large area hydrologic modeling and assessment part I: model development1. JAWRA J Am Water Resour Assoc 34:73–89. https://doi.org/10.1111/j.1752-1688.1998.tb05961.x

    Article  Google Scholar 

  • Asitatikie AN (2019) Impact of land use/land cover change on hydrology of the catchment: the case of upper Ribb catchment, lake tana sub basin, Ethiopia. J Environ Earth Sci. https://doi.org/10.7176/JEES

    Article  Google Scholar 

  • Baker TJ, Miller SN (2013) Using the Soil and Water Assessment Tool (SWAT) to assess land use impact on water resources in an East African watershed. J Hydrol 486:100–111

    Article  Google Scholar 

  • Bakreti A, Braud I, Leblois E, Benali A (2013) Analyse conjointe des régimes pluviométriques et hydrologiques dans le bassin de la Tafna (Algérie Occidentale). Hydrol Sci J 58:133–151

    Article  Google Scholar 

  • Batelaan O, De Smedt F (2001) WetSpass: a flexible, GIS based, distributed recharge methodology for regional groundwater. Int Assn Hydrol Sci p 11

  • Benali Khodja M, Metouchi A, Djoudar Hallal D et al (2022) Spatiotemporal characterization of the annual rainfall variability in the Isser Watershed (Algeria). Arab J Geosci 15:1–20

    Article  Google Scholar 

  • Bencherif S, Mohamed Boumedienne D, Burgas D, Manzano P (2021) Current social and rangeland access trends among pastoralists in the Western Algerian steppe. Land 10:674

    Article  Google Scholar 

  • Boongaling CGK, Faustino-Eslava DV, Lansigan FP (2018) Modeling land use change impacts on hydrology and the use of landscape metrics as tools for watershed management: the case of an ungauged catchment in the Philippines. Land Use Policy 72:116–128. https://doi.org/10.1016/j.landusepol.2017.12.042

    Article  Google Scholar 

  • Boufala M, El Hmaidi A, Essahlaoui A et al (2022) Assessment of the best management practices under a semi-arid basin using SWAT model (case of M’dez watershed, Morocco). Model Earth Syst Environ 8:713–731. https://doi.org/10.1007/s40808-021-01123-6

    Article  Google Scholar 

  • Bougara H, Hamed KB, Borgemeister C et al (2020) Analyzing trend and variability of rainfall in the Tafna basin (Northwestern Algeria). Atmosphere 11:347

    Article  Google Scholar 

  • Briones R, Ella V, Bantayan N (2016) Hydrologic impact evaluation of land use and land cover change in Palico Watershed, Batangas, Philippines Using the SWAT model. J Environ Sci Manag 19:96–107

    Article  Google Scholar 

  • Bruijnzeel LA (2004) Hydrological functions of tropical forests: not seeing the soil for the trees? Agric Ecosyst Environ 104:185–228

    Article  Google Scholar 

  • Chandler DG (2006) Reversibility of forest conversion impacts on water budgets in tropical karst terrain. For Ecol Manag 224:95–103

    Article  Google Scholar 

  • Chen Y, Niu J, Sun Y et al (2020) Study on streamflow response to land use change over the upper reaches of Zhanghe Reservoir in the Yangtze River basin. Geosci Lett 7:1–12

    Article  Google Scholar 

  • Chu X, Steinman A (2009) Event and continuous hydrologic modeling with HEC-HMS. J Irrig Drain Eng 135:119–124. https://doi.org/10.1061/(ASCE)0733-9437(2009)135:1(119)

    Article  Google Scholar 

  • Crawford NH, Linsley RK, Stanford University, Department of Civil Engineering (1966) Digital simulation in hydrology: Stanford watershed model IV

  • Cronshey R (1986) Urban hydrology for small watersheds. 2nd edition. U.S. Dept. of Agriculture, Soil Conservation Service, Engineering Division

  • Cunge J (1969) On the subject of a flood propagation computation method (Musklngum method). J Hydraul Res 7:205–230

    Article  Google Scholar 

  • Dang ATN, Kumar L (2017) Application of remote sensing and GIS-based hydrological modelling for flood risk analysis: a case study of District 8, Ho Chi Minh city, Vietnam. Geomat Nat Hazards Risk 8:1792–1811

    Article  Google Scholar 

  • Demissie TA (2022) Land use and land cover change dynamics and its impact on watershed hydrological parameters: the case of Awetu watershed, Ethiopia. J Sediment Environ 7:1–16

    Article  Google Scholar 

  • Dile YT, Srinivasan R (2014) Evaluation of CFSR climate data for hydrologic prediction in data-scarce watersheds: an application in the Blue Nile River Basin. JAWRA J Am Water Resour Assoc 50:1226–1241. https://doi.org/10.1111/jawr.12182

    Article  Google Scholar 

  • El Harraki W, Ouazar D, Bouziane A et al (2021) Streamflow prediction upstream of a dam using SWAT and assessment of the impact of land use spatial resolution on model performance. Environ Process 8:1165–1186. https://doi.org/10.1007/s40710-021-00532-0

    Article  Google Scholar 

  • Fang X, Ren L, Li Q et al (2013) Hydrologic response to land use and land cover changes within the context of catchment-scale spatial information. J Hydrol Eng 18:1539–1548. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000482

    Article  Google Scholar 

  • Fayaz A, Shafiq M, ul, Singh H, Ahmed P, (2020) Assessment of spatiotemporal changes in land use/land cover of North Kashmir Himalayas from 1992 to 2018. Model Earth Syst Environ 6:1189–1200. https://doi.org/10.1007/s40808-020-00750-9

    Article  Google Scholar 

  • Fuka DR, Walter MT, MacAlister C et al (2014) Using the Climate Forecast System Reanalysis as weather input data for watershed models: using CFSR as weather input data for watershed models. Hydrol Process 28:5613–5623. https://doi.org/10.1002/hyp.10073

    Article  Google Scholar 

  • Gupta H, Sorooshian S, Yapo PO (1999) Status of automatic calibration for hydrologic models: comparison with multilevel expert calibration. J Hydrol Eng. https://doi.org/10.1061/(ASCE)1084-0699(1999)4:2(135)

    Article  Google Scholar 

  • Gurara MA, Jilo NB, Tolche AD (2021) Modelling climate change impact on the streamflow in the Upper Wabe Bridge watershed in Wabe Shebele River Basin, Ethiopia. Int J River Basin Manage, 1–13. https://doi.org/10.1080/15715124.2021.1935978

  • Hari Krishna B, Mani A, Uma Devi M, Ramulu V (2014) Simulation of impact of change in landuse on water yield of upper Manair catchment. Int J Innov Res Dev 3:592–600

    Google Scholar 

  • Hundecha Y, Bárdossy A (2004) Modeling of the effect of land use changes on the runoff generation of a river basin through parameter regionalization of a watershed model. J Hydrol 292:281–295. https://doi.org/10.1016/j.jhydrol.2004.01.002

    Article  Google Scholar 

  • Jamali A (2021) Land use land cover modeling using optimized machine learning classifiers: a case study of Shiraz, Iran. Model Earth Syst Environ 7:1539–1550. https://doi.org/10.1007/s40808-020-00859-x

    Article  Google Scholar 

  • Jodar-Abellan A, Valdes-Abellan J, Pla C, Gomariz-Castillo F (2019) Impact of land use changes on flash flood prediction using a sub-daily SWAT model in five Mediterranean ungauged watersheds (SE Spain). Sci Total Environ 657:1578–1591. https://doi.org/10.1016/j.scitotenv.2018.12.034

    Article  Google Scholar 

  • Kateb Z, Bouchelkia H, Benmansour A, Belarbi F (2020) Sediment transport modeling by the SWAT model using two scenarios in the watershed of Beni Haroun dam in Algeria. Arab J Geosci 13:653. https://doi.org/10.1007/s12517-020-05623-0

    Article  Google Scholar 

  • Li Q, Zhang J, Gong H (2015) Hydrological simulation and parameter uncertainty analysis using SWAT model based on SUIF-2 algorithm for Guishuihe River Basin. J China Hydrol 3:43–48

    Google Scholar 

  • Lin B, Chen X, Chen Y, Liu M (2014) Simulations and analysis on the effects of landscape pattern change on flood and low flow based on SWAT model. Acta Ecol Sin 34:1772–1780

    Google Scholar 

  • Memarin H, Balasundram SK, Abbaspour KC et al (2015) Integration of analytic hierarchy process and weighted goal programming for land use optimization at the watershed scale. Turk J Eng Environ Sci 38:139–158. https://doi.org/10.3906/muh-1303-21

    Article  Google Scholar 

  • Moriasi DN, Arnold JG, Van Liew MW et al (2007) Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Trans ASABE 50:885–900

    Article  Google Scholar 

  • Munoth P, Goyal R (2020) Impacts of land use land cover change on runoff and sediment yield of Upper Tapi River Sub-Basin, India. Int J River Basin Manag 18:177–189

    Article  Google Scholar 

  • Nachtergaele F, Velthuizen H, Verelst L, Wiberg D (2009) Harmonized World Soil Database (HWSD). Food Agric Organ U N Rome

  • Nguyen Khoi D, Thom V (2015) Parameter uncertainty analysis for simulating streamflow in a river catchment of Vietnam. Glob Ecol Conserv 4:538–548. https://doi.org/10.1016/j.gecco.2015.10.007

    Article  Google Scholar 

  • Nkonya E, Anderson W, Kato E et al (2016) Global cost of land degradation. In: Nkonya E, Mirzabaev A, von Braun J (eds) Economics of land degradation and improvement—a global assessment for sustainable development. Springer International Publishing, Cham, pp 117–165

    Chapter  Google Scholar 

  • Palacios-Cabrera T, Valdes-Abellan J, Jodar-Abellan A, Rodrigo-Comino J (2022) Land-use changes and precipitation cycles to understand hydrodynamic responses in semiarid Mediterranean karstic watersheds. Sci Total Environ 819:153182

    Article  Google Scholar 

  • Paul M (2016) Impacts of land use and climate changes on hydrological processes in South Dakota Watersheds

  • Paul M, Rajib MA, Ahiablame L (2017) Spatial and temporal evaluation of hydrological response to climate and land use change in three South Dakota watersheds. JAWRA J Am Water Resour Assoc 53:69–88

    Article  Google Scholar 

  • Refsgaard JC (1997) Parameterisation, calibration and validation of distributed hydrological models—ScienceDirect. 69–97

  • Ronald Eastman J (2003) (PDF) IDRISI Kilimanjaro Guide to GIS and Image Processing

  • Ruiz-Gibert JM, Hallack-Alegría M, Robles-Morua A, Molina-Navarro E (2020) Using an integrated hydrological model to estimate the impacts of droughts in a semiarid transboundary river basin: the case of study of the Tijuana River Basin. Int J River Basin Manag 18:445–460

    Article  Google Scholar 

  • Schmugge TJ, Kustas WP, Ritchie JC et al (2002) Remote sensing in hydrology. Adv Water Resour 25:1367–1385

    Article  Google Scholar 

  • Shao W, Cai J, Liu J et al (2017) Impact of water scarcity on the Fenhe River basin and mitigation strategies. Water 9:30

    Article  Google Scholar 

  • Souza JO, Correa AC, Brierley GJ (2016) An approach to assess the impact of landscape connectivity and effective catchment area upon bedload sediment flux in Saco Creek Watershed, Semiarid Brazil. CATENA 138:13–29. https://doi.org/10.1016/j.catena.2015.11.006

    Article  Google Scholar 

  • Story M, Congalton RG (1986) Accuracy assessment: a user’s perspective. Photogramm Eng Remote Sens 52:397–399

    Google Scholar 

  • Tanksali A, Soraganvi VS (2021) Assessment of impacts of land use/land cover changes upstream of a dam in a semi-arid watershed using QSWAT. Model Earth Syst Environ 7:2391–2406

    Article  Google Scholar 

  • Teklay A, Dile YT, Setegn SG et al (2019) Evaluation of static and dynamic land use data for watershed hydrologic process simulation: a case study in Gummara watershed, Ethiopia. CATENA 172:65–75. https://doi.org/10.1016/j.catena.2018.08.013

    Article  Google Scholar 

  • Todini E, Wallis JR (1977) Using CLS for daily or longer period rainfall runoff modelling. Mathematical models for surface water hydrology. John Wiley & Sons, New York, pp 149–168

    Google Scholar 

  • Todini E (2007) Hydrological catchment modelling: past, present and future. Hydrol Earth Syst Sci Discuss 11:468–482. https://doi.org/10.5194/hess-11-468-2007

    Article  Google Scholar 

  • Tuo Y, Duan Z, Disse M, Chiogna G (2016) Evaluation of precipitation input for SWAT modeling in Alpine catchment: a case study in the Adige river basin (Italy). Sci Total Environ 573:66–82. https://doi.org/10.1016/j.scitotenv.2016.08.034

    Article  Google Scholar 

  • USDA S (1972) Estimation of direct runoff from storm rainfall. SCS Natl Eng Handb Sect 4 Hydrol 10–10

  • Wang R, Bowling LC, Cherkauer KA (2016) Estimation of the effects of climate variability on crop yield in the Midwest USA. Agric for Meteorol 216:141–156

    Article  Google Scholar 

  • Xiao-Ying W, Chun-Yu Z, Qing-Yu J (2013) Impacts of climate change on forest ecosystems in Northeast China. Adv Clim Change Res 4:230–241. https://doi.org/10.3724/SP.J.1248.2013.230

    Article  Google Scholar 

  • Yles F, Bouanani A (2017) Production de sédiments en suspension et typologie des crues dans les zones steppiques. Algériennes Cas Du Bassin Versant De L’oued Saida. 29:213–229. https://doi.org/10.7202/1038925ar

    Article  Google Scholar 

  • Zaibak I, Meddi M (2022) Simulating streamflow in the Cheliff basin of west northern Algeria using the SWAT model. J Earth Syst Sci 131:25. https://doi.org/10.1007/s12040-021-01777-x

    Article  Google Scholar 

  • Zettam A, Taleb A, Sauvage S et al (2017) Modelling hydrology and sediment transport in a semi-arid and anthropized catchment using the SWAT model: The case of the Tafna river (northwest Algeria). Water 9:216. https://doi.org/10.3390/w9030216

    Article  Google Scholar 

  • Zimmermann B, Elsenbeer H, De Moraes JM (2006) The influence of land-use changes on soil hydraulic properties: Implications for runoff generation. For Ecol Manag 222:29–38

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Biological Systems and Geomatics Research Laboratory (LRSBG), Mustapha Stambouli University of Mascara, 29000, Mascara, Algeria

    Anouar Hachemaoui, Abdelkader Elouissi, Benali Benzater & Sahnoun Fellah

Authors
  1. Anouar Hachemaoui
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Abdelkader Elouissi
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Benali Benzater
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Sahnoun Fellah
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Anouar Hachemaoui.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hachemaoui, A., Elouissi, A., Benzater, B. et al. Assessment of the hydrological impact of land use/cover changes in a semi-arid basin using the SWAT model (case of the Oued Saïda basin in western Algeria). Model. Earth Syst. Environ. 8, 5611–5624 (2022). https://doi.org/10.1007/s40808-022-01422-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40808-022-01422-6

Keywords

Search

Navigation