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[1]ZHAO Jiajing,ZHANG Wanshun,WANG Yonggui,et al.Runoff Simulation Based on a High-Precision Soil Database in the Three Gorges Reservoir Catchment[J].Research of Soil and Water Conservation,2017,24(03):45-52,58.

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Runoff Simulation Based on a High-Precision Soil Database in the Three Gorges Reservoir Catchment

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 24 Number of periods: 2017 03 Page number: 45-52,58 Column: Public date: 2017-06-28

Title:: Runoff Simulation Based on a High-Precision Soil Database in the Three Gorges Reservoir Catchment

Author(s):: ZHAO Jiajing, ZHANG Wanshun, WANG Yonggui, SHI Yingyuan, CHEN Xiaomin; School of Resources and Environmental Science, Wuhan University, Wuhan 430079, China

Keywords:: Three Gorges Reservoir Region; soil parameters; SWAT; runoff simulation; SUFI-2 Algorithm

CLC:: P334⁺.92;TV121

DOI:: -

Abstract:: Soil parameters control the movement of air and water in the soil slope, and have the major influence on regional water cycle. Soil types in the three Gorges Reservoir Region are numerous, and there are obvious differences among them. In addition, physical and chemical properties of the same soil are not identical in different regions. In order to simulate the runoff process of the reservoir region more accurately, we studied the best method of determining soil attribute data based on SWAT model, and established a high-precision soil database combining the attribute data and a high precise spatial data. We simulated the daily runoff process from 2010 to 2013 of the Three Gorges Reservoir Region. LH-OAT method, SWAT-CUP and SUFI-2 were used for sensitivity analysis, calibration, validation and uncertainty analysis. The results showed that the top 5 sensitive soil parameters are SOL_AWC, SOL_Z, SOL_K, SOL_CBN and SOL_BD. The mean coefficient of determination, Nash-Sutcliffe efficiency coefficient and absolute percentage error were 0.818, 0.798, and 6.778%, respectively. The model performed well in simulating runoff process and the result was accurate. This research reveals the potential influence of soil parameters during the process of runoff simulation, and provides important basic support for hydrological simulation in large-scale watersheds and regional water balance research.

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