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
The study identifies the extent of soil loss and proposes a method for prioritization of micro-watershed in the Nun Nadi watershed.The study used the Sediment Yield Index(SYI)method,based on weighted overlays of soil,...The study identifies the extent of soil loss and proposes a method for prioritization of micro-watershed in the Nun Nadi watershed.The study used the Sediment Yield Index(SYI)method,based on weighted overlays of soil,topography,rainfall erosivity and land use parameters in 24 micro watersheds.Accordingly the values and thematic layers were integrated as per the SYI model,and minimum and maximum sediment yield values were calculated.The priority ranks as per the sediment yield values were assigned to all micro-watersheds.Then the values were classified into four priority zones according to their composite scores.Almost 14 percent area of three micro-watersheds(SW5b,SW6a and SW7b)showed very high priority;approximately 30.57 percent of the study area fell under the high priority zones.These areas require immediate attention.Conservation methods are suggested,and the locations of check dams are proposed after considering drainage,slope and soil loss.&2015 International Research and Training Center on Erosion and Sedimentation and China Water and Power Press.Production and Hosting by Elsevier B.V.This is an open access article under the CC BY-NC-ND license(http://creativecommons.org/licenses/by-nc-nd/4.0/).展开更多
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.
文摘The study identifies the extent of soil loss and proposes a method for prioritization of micro-watershed in the Nun Nadi watershed.The study used the Sediment Yield Index(SYI)method,based on weighted overlays of soil,topography,rainfall erosivity and land use parameters in 24 micro watersheds.Accordingly the values and thematic layers were integrated as per the SYI model,and minimum and maximum sediment yield values were calculated.The priority ranks as per the sediment yield values were assigned to all micro-watersheds.Then the values were classified into four priority zones according to their composite scores.Almost 14 percent area of three micro-watersheds(SW5b,SW6a and SW7b)showed very high priority;approximately 30.57 percent of the study area fell under the high priority zones.These areas require immediate attention.Conservation methods are suggested,and the locations of check dams are proposed after considering drainage,slope and soil loss.&2015 International Research and Training Center on Erosion and Sedimentation and China Water and Power Press.Production and Hosting by Elsevier B.V.This is an open access article under the CC BY-NC-ND license(http://creativecommons.org/licenses/by-nc-nd/4.0/).
