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

 

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Autores: Watson, Andrew Paul, Künne, Annika, Birkel Dostal, Christian, Miller, Jodie A., Kralisch, Sven
格式: artículo original
Fecha de Publicación:2024
实物特征:Productive 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.
País:Kérwá
机构:Universidad de Costa Rica
Repositorio:Kérwá
语言:Inglés
OAI Identifier:oai:kerwa.ucr.ac.cr:10669/100558
在线阅读:https://www.tandfonline.com/doi/full/10.1080/02626667.2024.2331790
https://hdl.handle.net/10669/100558
https://doi.org/10.1080/02626667.2024.2331790
Palabra clave:Irrigation
rainfall–runoff modelling
JAMS/J2000
hydrological change
South Africa