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Developing a model to assess the impact of farm dams and irrigation for data-scarce catchments

dc.creatorWatson, Andrew Paul
dc.creatorKünne, Annika
dc.creatorBirkel Dostal, Christian
dc.creatorMiller, Jodie A.
dc.creatorKralisch, Sven
dc.date.accessioned2025-01-28T14:42:18Z
dc.date.available2025-01-28T14:42:18Z
dc.date.issued2024-04-15
dc.description.abstractProductive agricultural supply chains require the support of functional ecosystems, but intense agricultural practices change local hydrological systems (e.g. river diversion). In this study, the impact of farm dams was assessed for the Verlorenvlei catchment, a sensitive ecosystem currently under a state of hydrological change in South Africa. We developed a new module for the Jena Adaptable Modelling System (JAMS)/J2000 rainfall–runoff model to assess the streamflow impact from the points of abstraction, losses during storage and irrigation. The model achieved a satisfactory streamflow calibration with efficiencies Nash Sutcliffe Efficiency (NSE, logNSE) of 0.52 and 0.51. The irrigated area reduced simulated streamflow by 12 to 19%. The results from the study agree with remote sensed evapotranspiration, measured lake surface water levels and streamflow, but uncertainty remains in the total simulated dam evaporation. While many catchments lack the data required for a detailed irrigation impact assessment, this approach considers total water use, dam storage to area relationships and general farming practices.
dc.description.procedenceUCR::Vicerrectoría de Docencia::Ciencias Sociales::Facultad de Ciencias Sociales::Escuela de Geografía
dc.description.procedenceUCR::Vicerrectoría de Investigación::Unidades de Investigación::Ciencias Básicas::Centro de Investigaciones Geofísicas (CIGEFI)
dc.description.sponsorshipUniversidad de Costa Rica/[217-C2-902]/UCR/Costa Rica
dc.description.sponsorshipSouthern African Science Service Centre for Climate Change and Adaptive Land Management/[]/SASSCAL/Namibia
dc.description.sponsorshipWater Research Centre/[]/WRC/Reino Unido
dc.description.sponsorshipDWS/[]/DWS/Alemania
dc.description.sponsorshipMinisterio Federal de Educación e Investigación/[]/BMBF/Alemania
dc.description.sponsorshipNational Research Foundation/[]/NRF/Sudáfrica
dc.description.sponsorshipAfrica Earth Observatory Network/[]/AEON/Sudáfrica
dc.identifier.citationhttps://www.tandfonline.com/doi/full/10.1080/02626667.2024.2331790
dc.identifier.codproyecto217-C2-902
dc.identifier.doihttps://doi.org/10.1080/02626667.2024.2331790
dc.identifier.issn0262-6667
dc.identifier.issn2150-3435
dc.identifier.urihttps://hdl.handle.net/10669/100558
dc.language.isoeng
dc.relation.ispartofseries69(5)
dc.rightsacceso restringido
dc.sourceHydrological Sciences Journal, 64(5), 639-656
dc.subjectIrrigation
dc.subjectrainfall–runoff modelling
dc.subjectJAMS/J2000
dc.subjecthydrological change
dc.subjectSouth Africa
dc.titleDeveloping a model to assess the impact of farm dams and irrigation for data-scarce catchments
dc.typeartículo original

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