Abstract

AbstractIdentifying the factors and quantifying their contributions to nitrogen (N) loss associated with surface runoff is of great significance to the control of non‐point source N pollution. However, the distinct geographical units, such as hills and plains, may lead to great differences in the contribution of these driving factors, which has been rarely investigated. This study developed an effective framework, which simulated the N loss with surface runoff in hills and plains by SWAT and NDP, and analyzed their spatial distribution variations by spatial autocorrelation analysis, and distinguished the contribution of their driving factors by multi‐scenario simulation and partial redundancy analysis (pRDA). The framework was instantiated in a hill and a plain agricultural watershed, respectively, in the upper Taihu Lake Basin, China. We found the contribution of fertilization to N loss with surface runoff in the hills (10.4%) was greater than that in the plains (6.4%), which may be due to the N increment effect of paddy land. The contribution of rainfall to N loss with surface runoff in the plains (93.2%) was greater than that in the hills (74.3%), which may be due to the N increment effect of urban land. The developed framework could provide a viable way to study the environmental impacts of natural and anthropogenic drivers in different types of agricultural watersheds, thus offer scientific references for nutrient control measures.

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