Fast hydrological model calibration based on the heterogeneous parallel computing accelerated shuffled complex evolution method

被引:19
作者
Kan, Guangyuan [1 ,2 ]
He, Xiaoyan [1 ]
Ding, Liuqian [1 ]
Li, Jiren [1 ]
Hong, Yang [2 ,3 ]
Zuo, Depeng [4 ]
Ren, Minglei [1 ]
Lei, Tianjie [1 ]
Liang, Ke [5 ]
机构
[1] Minist Water Resources, China Inst Water Resources & Hydropower Res, Res Ctr Flood & Drought Disaster Reduct, State Key Lab Simulat & Regulat Water Cycle River, Beijing, Peoples R China
[2] Tsinghua Univ, Dept Hydraul Engn, State Key Lab Hydrosci & Engn, Beijing, Peoples R China
[3] Univ Oklahoma, Dept Civil Engn & Environm Sci, Norman, OK 73019 USA
[4] Beijing Normal Univ, Coll Water Sci, Beijing, Peoples R China
[5] Hohai Univ, Coll Hydrol & Water Resources, Nanjing, Jiangsu, Peoples R China
基金
中国博士后科学基金;
关键词
Model calibration; Xinanjiang model; heterogeneous parallel computing; OpenMP; CUDA; GLOBAL OPTIMIZATION;
D O I
10.1080/0305215X.2017.1303053
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Hydrological model calibration has been a hot issue for decades. The shuffled complex evolution method developed at the University of Arizona (SCE-UA) has been proved to be an effective and robust optimization approach. However, its computational efficiency deteriorates significantly when the amount of hydrometeorological data increases. In recent years, the rise of heterogeneous parallel computing has brought hope for the acceleration of hydrological model calibration. This study proposed a parallel SCE-UA method and applied it to the calibration of a watershed rainfall-runoff model, the Xinanjiang model. The parallel method was implemented on heterogeneous computing systems using OpenMP and CUDA. Performance testing and sensitivity analysis were carried out to verify its correctness and efficiency. Comparison results indicated that heterogeneous parallel computing-accelerated SCE-UA converged much more quickly than the original serial version and possessed satisfactory accuracy and stability for the task of fast hydrological model calibration.
引用
收藏
页码:106 / 119
页数:14
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