Modeling and analysis of effects of precipitation and vegetation coverage on runoff and sediment yield in Jinsha River Basin
Du Jun ; Shi Chang-Xing ; Zhang Chen-Di
2013
关键词Sediments Forestry Intelligent control Lasers Precipitation (chemical) Regression analysis Runoff Sedimentology Vegetation Watersheds
英文摘要This paper focuses on the effects of precipitation and vegetation coverage on runoff and sediment yield in the Jinsha River Basin. Results of regression analysis were taken as input variables to investigate the applicability of the adaptive network-based fuzzy inference system (ANFIS) to simulating annual runoff and sediment yield. Correlation analysis indicates that runoff and sediment yield are positively correlated with the precipitation indices, while negatively correlated with the vegetation indices. Furthermore, the results of stepwise regression show that annual precipitation is the most important factor influencing the variation of runoff, followed by forest coverage, and their contributions to the variation of runoff are 69.8% and 17.3%, respectively. For sediment yield, rainfall erosivity is the most important factor, followed by forest coverage, and their contributions to the variation of sediment yield are 49.3% and 24.2%, respectively. The ANFIS model is of high precision in runoff forecasting, with a relative error of less than 5%, but of poor precision in sediment yield forecasting, indicating that precipitation and vegetation coverage can explain only part of the variation of sediment yield, and that other impact factors, such as human activities, should be sufficiently considered as well. Copyright 2013 Editorial Office of Water Science and Engineering.
出处Water Science and Engineering
6期:1页:44-58
收录类别EI
语种英语
内容类型EI期刊论文
源URL[http://ir.igsnrr.ac.cn/handle/311030/31147]  
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
Du Jun,Shi Chang-Xing,Zhang Chen-Di. Modeling and analysis of effects of precipitation and vegetation coverage on runoff and sediment yield in Jinsha River Basin. 2013.
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