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[1]GUO Min,FANG Haiyan,LI Zhiying.SWAT Model-Based Runoff Simulation of Wuyuer River Basin in the Black Soil Region of Northeast China[J].Research of Soil and Water Conservation,2016,23(04):43-47,54.

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SWAT Model-Based Runoff Simulation of Wuyuer River Basin in the Black Soil Region of Northeast China

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 23 Number of periods: 2016 04 Page number: 43-47,54 Column: Public date: 2016-04-28

Title:: SWAT Model-Based Runoff Simulation of Wuyuer River Basin in the Black Soil Region of Northeast China

Author(s):: GUO Min^1,2, FANG Haiyan¹, LI Zhiying^1,2; 1. Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;
2. University of Chinese Academy of Sciences, Beijing 100049, China

Keywords:: SWAT model; northeast China; Wuyuer river basin; runoff simulation

CLC:: P331

DOI:: -

Abstract:: The black soil region is the major grain production areas. Runoff modeling for this region is meaningful to support the studies of water resources and sediment yield. In this study, the hydrological processes at monthly and annual scales were simulated using the SWAT (Soil and Water Assessment Tools) model in the Wuyuer River Basin, northeast China, and some results were obtained. The monthly recorded and simulated discharges match well for calibration period and the validation period. Nash-Sutcliffe coefficients as well as correlation coefficients between recorded and simulated discharge for both calibration period and the validation period are all above 0.75 while relative errors are less than 15%. But model simulating runoff under some increasing rainfall processes is poorer, and the spring and summer flood peak runoff simulation results are also unsatisfactory. The runoff of northeast China is relatively complex, which requires to further improve the adaptability of the SWAT model, so as to provide a scientific basis for the development of water resources.

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