|کد مقاله||کد نشریه||سال انتشار||مقاله انگلیسی||ترجمه فارسی||نسخه تمام متن|
|305321||513021||2017||11 صفحه PDF||سفارش دهید||دانلود رایگان|
• Sediment yield (SY) from reservoirs were used to calibrate an erosion model.
• Erosion and SY decreased due to the implemented soil conservation measures.
• Terrace and contour tillage cannot effectively control catchment soil loss.
• Integrated catchment management is urgently required to reduce soil loss.
The black soil in Northeastern China is experiencing severe soil erosion. However, spatially distributed erosion models have scarcely been used to identify the sediment source of a catchment as well as its response to the implemented soil conservation measures (ISCMs). In this study, the WaTEM/SEDEM model was selected and calibrated with sediment yields (SYs) from 25 reservoir catchments in Baiquan County. The validated model was applied to the Shuangyang river catchment to simulate soil erosion, SY and their responses to the ISCMs. The model simulation accuracy was measured by Nash-Sutcliffe efficiency (NSE) and relative root mean square error (RRMSE). A satisfactory result was obtained with NSE of 0.914 and RRMSE of 0.266, respectively. The ISCMs on the farmlands in Shuangyang river catchment greatly reduced sediment delivery to the rivers. The terraced and contour tillage lands became sediment sink and the up/downslope tillage land had lower erosion risk, resulting from the ISCMs on the upper slopes. However, these measures are not effective enough to comprehensively control soil erosion. The erosion rates in the erosion areas within terrace and contour tillage land were still very high. The large area of up/downslope tillage land and the steep slopes with gradients above 25% still suffered severe soil loss. Comprehensive soil conservation should be urgently applied to reduce soil erosion and sediment delivery to the rivers. This study can help guide effective implementation of soil conservation measures at the catchment scale for the black soil region, Northeastern China.
Journal: Soil and Tillage Research - Volume 165, January 2017, Pages 23–33