Estimating Sediment Yield from Upland and Channel Erosion at A Watershed Scale Using SWAT
Liu Y. B.; Yang, W. H.; Yu, Z. Q.; Lung, I.; Gharabaghi, B.
2015
关键词Sediment yield Upland erosion Channel erosion SWAT South tobacco creek nonpoint-source pollution management runoff models
英文摘要Sediment discharge is one of the main water quality concerns in integrated watershed management. A proper identification of sediment sources is therefore important to the success of watershed conservation programs. Since water quality monitoring data collected at the mouth of the watershed alone are typically not sufficient for identifying key sediment sources distributed in the watershed, hydrologic models can be applied to prioritize Best Management Practices (BMPs) implementation for sediment control in a watershed. In this paper, the Soil and Water Assessment Tool (SWAT) is applied to the South Tobacco Creek (STC) watershed in Canada to identify sediment sources and to estimate the spatial distribution of sediment yield from both upland and channel erosion processes. The model is calibrated and validated against observed flow and sediment data measured at fourteen edge-of-field and mainstream stations based on 20 years of land management data. Modeling results show that approximately 60 and 40 % of the sediment discharge at the mouth of the watershed are originated from channel erosion and upland erosion respectively. A high spatial and temporal variation of sediment yield is found in the watershed depending on climate, topography, land use, and soil conditions. These findings will be helpful for understanding the runoff and erosion processes and evaluating the cost-effectiveness of soil and water conservation programs at a watershed scale.
出处Water Resources Management
29
5
1399-1412
收录类别SCI
语种英语
ISSN号0920-4741
内容类型SCI/SSCI论文
源URL[http://ir.igsnrr.ac.cn/handle/311030/38747]  
专题地理科学与资源研究所_历年回溯文献
推荐引用方式
GB/T 7714
Liu Y. B.,Yang, W. H.,Yu, Z. Q.,et al. Estimating Sediment Yield from Upland and Channel Erosion at A Watershed Scale Using SWAT. 2015.
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