科研成果
硕士生程美玲的论文在WATER刊出
发布时间:2018-01-18 17:25:49     发布者:yz     浏览次数:

标题:Performance Assessment of Spatial Interpolation of Precipitation for Hydrological Process Simulation in the Three Gorges Basin

作者: Cheng, ML (Cheng, Meiling); Wang, YG (Wang, Yonggui); Engel, B (Engel, Bernard); Zhang, WS (Zhang, Wanshun); Peng, H (Peng, Hong); Chen, XM (Chen, Xiaomin); Xia, H (Xia, Han)

来源出版物:WATER   卷:9 期:11  文献编号: 838     DOI10.3390/w9110838       出版年:   NOV 2017 

摘要: Accurate assessment of spatial and temporal precipitation is crucial for simulating hydrological processes in basins, but is challenging due to insufficient rain gauges. Our study aims to analyze different precipitation interpolation schemes and their performances in runoff simulation during light and heavy rain periods. In particular, combinations of different interpolation estimates are explored and their performances in runoff simulation are discussed. The study was carried out in the Pengxi River basin of the Three Gorges Basin. Precipitation data from 16 rain gauges were interpolated using the Thiessen Polygon (TP), Inverse Distance Weighted (IDW), and Co-Kriging (CK) methods. Results showed that streamflow predictions employing CK inputs demonstrated the best performance in the whole process, in terms of the Nash-Sutcliffe Coefficient (NSE), the coefficient of determination (R-2), and the Root Mean Square Error (RMSE) indices. The TP, IDW, and CK methods showed good performance in the heavy rain period but poor performance in the light rain period compared with the default method (least sophisticated nearest neighbor technique) in Soil and Water Assessment Tool (SWAT). Furthermore, the correlation between the dynamic weight of one method and its performance during runoff simulation followed a parabolic function. The combination of CK and TP achieved a better performance in decreasing the largest and lowest absolute errors compared to any single method, but the IDW method outperformed all methods in terms of the median absolute error. However, it is clear from our findings that interpolation methods should be chosen depending on the amount of precipitation, adaptability of the method, and accuracy of the estimate in different rain periods.

入藏号:WOS:000416798300024

文献类型:Article

语种:English

作者关键词: precipitation interpolation; runoff simulation; SWAT; the Three Gorges Basin

扩展关键词: WATER ASSESSMENT-TOOL; DAILY RAINFALL; RIVER-BASIN; SWAT; RADAR; MODEL; GAUGE; CATCHMENTS; SCALE; SOIL

通讯作者地址:Zhang, WS (reprint author), Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Hubei, Peoples R China.
Zhang, WS (reprint author), Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Peoples R China.

电子邮件地址:mlcheng2015@whu.edu.cn; wangyonggui@whu.edu.cn; engelb@purdue.edu; wszhang@whu.edu.cn; hongpeng@whu.edu.cn; xiaominchen@whu.edu.cn; xiah@whu.edu.cn

地址:

[Cheng, Meiling; Wang, Yonggui; Zhang, Wanshun; Chen, Xiaomin; Xia, Han] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Hubei, Peoples R China. 
[Engel, Bernard] Purdue Univ, Agr & Biol Engn, W Lafayette, IN 47907 USA. 
[Zhang, Wanshun] Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Peoples R China. 
[Peng, Hong] Wuhan Univ, Sch Water Resources & Hydropower, Wuhan 430072, Peoples R China.

影响因子:1.832


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