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. |
推荐引用方式 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. |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论