Simulated results of water yield, sediment yield, surface runoff,subsurface runoff, peak flow, evapo- transipiration, etc., in theTeba catchment, Spain, using SWRRB (Simulator for Water Resources inRural Basins) model...Simulated results of water yield, sediment yield, surface runoff,subsurface runoff, peak flow, evapo- transipiration, etc., in theTeba catchment, Spain, using SWRRB (Simulator for Water Resources inRural Basins) model are presented and the related problems arediscussed. The results showed that water yield And sediment yieldcould be satisfactorily simulated using SWRRB model. The accuracy ofthe annual water Yield simulation in the Teba catchment was up to83.68/100, which implied that this method could be effectively Usedto predict the annual or inter-annual water yield and to realize thequantification of geographic elements And processes of a river basin.展开更多
Soil erosion is a global phenomenon, which results in sedimentation and siltation of reservoirs of major rivers. Remote sensing data provide a synoptic view from which several surface parameters can be derived to asse...Soil erosion is a global phenomenon, which results in sedimentation and siltation of reservoirs of major rivers. Remote sensing data provide a synoptic view from which several surface parameters can be derived to assess the sedimentation yield in the reservoirs. Hence estimation of sediment yield has become one of the important tasks for planners, engineers and decision makers. The present study in Govindsagar catchment, Lalitpur District, Uttar Pradesh (India), has been carried out using IRS LISS III data to analyse land use/cover characteristics besides drainage basin characterstics. Subsequently, Sediment Yield Index (SYI) of Govindsagar catchment has been estimated using surface derivatives and morphometric parameters using empirical formulae. Integration of results obtained from satellite data and morphometric analysis suggests that the Govindsagar catchment has very low rate of sediment yield i.e. 0.07 ha·m/year indicating a gentle slope and sustainable land use practices in the catchment. Low sediment yield also suggests less erosion in the catchment areas and healthy land use/cover scenario.展开更多
基金Project (No. B/II-923262) supported by the Marie Curie Research Bursary, European Union.
文摘Simulated results of water yield, sediment yield, surface runoff,subsurface runoff, peak flow, evapo- transipiration, etc., in theTeba catchment, Spain, using SWRRB (Simulator for Water Resources inRural Basins) model are presented and the related problems arediscussed. The results showed that water yield And sediment yieldcould be satisfactorily simulated using SWRRB model. The accuracy ofthe annual water Yield simulation in the Teba catchment was up to83.68/100, which implied that this method could be effectively Usedto predict the annual or inter-annual water yield and to realize thequantification of geographic elements And processes of a river basin.
文摘Soil erosion is a global phenomenon, which results in sedimentation and siltation of reservoirs of major rivers. Remote sensing data provide a synoptic view from which several surface parameters can be derived to assess the sedimentation yield in the reservoirs. Hence estimation of sediment yield has become one of the important tasks for planners, engineers and decision makers. The present study in Govindsagar catchment, Lalitpur District, Uttar Pradesh (India), has been carried out using IRS LISS III data to analyse land use/cover characteristics besides drainage basin characterstics. Subsequently, Sediment Yield Index (SYI) of Govindsagar catchment has been estimated using surface derivatives and morphometric parameters using empirical formulae. Integration of results obtained from satellite data and morphometric analysis suggests that the Govindsagar catchment has very low rate of sediment yield i.e. 0.07 ha·m/year indicating a gentle slope and sustainable land use practices in the catchment. Low sediment yield also suggests less erosion in the catchment areas and healthy land use/cover scenario.
