Runoff simulation of Tangnaihai hydrological station in source area of Yellow River based on SWAT model

被引:1
作者
Li, K. [1 ,2 ]
Wang, Y. Q. [1 ,2 ]
Xu, J. J. [1 ,2 ]
Hong, X. F. [1 ,2 ]
Feng, Y. [1 ,2 ]
机构
[1] Changjiang River Sci Res Inst, Transboundary River Management Dept, Water Resources Dept, Wuhan 430010, Peoples R China
[2] Changjiang River Sci Res Inst, Hubei Prov Key Lab Basin Water Resources & Ecol E, Wuhan 430010, Peoples R China
来源
6TH INTERNATIONAL CONFERENCE ON WATER RESOURCE AND ENVIRONMENT | 2020年 / 612卷
基金
中国国家自然科学基金; 国家重点研发计划;
关键词
SWAT model; source area of the Yellow River; Tangnaihai hydrological station; SWAT-CUP; calibration and validation; BASIN;
D O I
10.1088/1755-1315/612/1/012047
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Studying the applicability of the SWAT model in the source area of the Yellow River is helpful for the comprehensive management of water resources and hydrological cycles in the source area of the Yellow River. The SWAT monthly runoff simulation model was constructed using DEM data, land use data, soil data and meteorological station data in the source area of the Yellow River, and the parameters were calibrated using the SUIF-2 algorithm in SWAT-CUP2012, with determation coefficients R-2 and Nash-Sutcliffe efficiency coefficients (NSE). The results show that the fit between the monthly runoff simulation process and the measured runoff process in the source area of the Yellow River is close. The R-2 and NSE were 0.77, 0.76, 0.90, and 0.89 in the model calibration period 2000 similar to 2009 and verification period 2010 similar to 2013, respectively. This shows that the SWAT model simulates the monthly runoff process of the source area of the Yellow River satisfactoriy, that is, the SWAT model e has good applicability in the Yellow River source area.
引用
收藏
页数:8
相关论文
共 18 条
  • [1] Assessment of climate change impacts on streamflow through hydrological model using SWAT model: a case study of Afghanistan
    Aawar, Taha
    Khare, Deepak
    [J]. MODELING EARTH SYSTEMS AND ENVIRONMENT, 2020, 6 (03) : 1427 - 1437
  • [2] Arnold JG, 2012, T ASABE, V55, P1491
  • [3] Chen M Y, 2016, RURAL WATER HYDRO, V9, P187
  • [4] Modelling the rainfall-runoff process of the Mara River basin using the Soil and Water Assessment Tool
    Dessu, Shimelis Behailu
    Melesse, Assefa M.
    [J]. HYDROLOGICAL PROCESSES, 2012, 26 (26) : 4038 - 4049
  • [5] Dong C L, 2005, J AGROMETE, V3, P165
  • [6] Gessese A., 2008, NILE BASIN WATER ENG, V1, P65
  • [7] [郝振纯 HAO Zhenchun], 2006, [冰川冻土, Journal of Glaciology and Geocryology], V28, P1
  • [8] Jin J L, 2013, J ARID LAND RESOUR E, V27, P138
  • [9] [林桂英 LIN Gui-ying], 2009, [水资源与水工程学报, Journal of Water Resources and Water Engineering], V20, P145
  • [10] [刘晶 Liu Jing], 2018, [水文, Journal of China Hydrology], V38, P34