The Assessment of the Spatiotemporal Characteristics of Net Water Erosion and Its Driving Factors in the Yellow River Basin
文献类型： 外文期刊
第一作者： Yin, Zuotang
作者： Yin, Zuotang;Lu, Miao;Yin, Zuotang;Chang, Jun;Liu, Wei;Zuo, Yanlei;Xu, Xiaotong
作者机构：
关键词： net water erosion; driving factors; modified RUSLE-TLSD; optimal parameters-based geographical detector; Yellow River Basin
期刊名称：AGRONOMY-BASEL （ 影响因子：3.4； 五年影响因子：3.8 ）
ISSN：
年卷期： 2024 年 14 卷 11 期
页码：
收录情况： SCI
摘要：
The Yellow River Basin (YRB) is an important grain production base, and exploring the spatiotemporal heterogeneity and driving factors of soil erosion in the YRB is of great significance to the ecological environment and sustainable agricultural development. In this study, we employed the Revised Universal Soil Loss Equation (RUSLE) in conjunction with Transport-Limited Sediment Delivery (TLSD) to explore a modified RUSLE-TLSD for use assessing net water erosion. This modification was performed using sediment data, and the explanatory power of driving factors was assessed utilizing an optimal parameters-based geographical detector (OPGD). The results demonstrated that the modified RUSLE-TLSD can accurately simulate the spatiotemporal distribution of net water erosion (NSE = 0.5766; R2 = 0.6708). From 2000 to 2020, the net water erosion modulus in the YRB ranged between 1.62 and 5.33 t/(ha
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