CORC  > 大连理工大学
Quantifying dynamic sensitivity of optimization algorithm parameters to improve hydrological model calibration
Qi, Wei; Zhang, Chi; Fu, Guangtao; Zhou, Huicheng
刊名JOURNAL OF HYDROLOGY
2016
卷号533页码:213-223
关键词Algorithm Optimization SCE-UA Sensitivity TOPMODEL Variance decomposition
ISSN号0022-1694
URL标识查看原文
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/4366721
专题大连理工大学
作者单位1.Dalian Univ Technol, Sch Hydraul Engn, Dalian 116024, Peoples R China.
2.Univ Exeter, Coll Engn Math & Phys Sci, Ctr Water Syst, N Pk Rd, Exeter EX4 4QF, Devon, England.
3.Dalian Univ Technol, Sch Hydraul Engn, Dalian 116024, Peoples R China.
4.Univ Exeter, Coll Engn Math & Phys Sci, Ctr Water Syst, N Pk Rd, Exeter EX4 4QF, Devon, England.
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GB/T 7714
Qi, Wei,Zhang, Chi,Fu, Guangtao,et al. Quantifying dynamic sensitivity of optimization algorithm parameters to improve hydrological model calibration[J]. JOURNAL OF HYDROLOGY,2016,533:213-223.
APA Qi, Wei,Zhang, Chi,Fu, Guangtao,&Zhou, Huicheng.(2016).Quantifying dynamic sensitivity of optimization algorithm parameters to improve hydrological model calibration.JOURNAL OF HYDROLOGY,533,213-223.
MLA Qi, Wei,et al."Quantifying dynamic sensitivity of optimization algorithm parameters to improve hydrological model calibration".JOURNAL OF HYDROLOGY 533(2016):213-223.
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