A modular and parallelized watershed modeling framework
Zhu, Liang-Jun2,4; Liu, Junzhi1,5,6; Qin, Cheng-Zhi1,2,4; Zhu, A-Xing1,2,3,4,5,6
刊名ENVIRONMENTAL MODELLING & SOFTWARE
2019-12-01
卷号122页码:16
关键词Watershed modeling framework Modular Parallelization Watershed process simulation SEIMS
ISSN号1364-8152
DOI10.1016/j.envsoft.2019.104526
通讯作者Liu, Junzhi(liujunzhi@njnu.edu.cn) ; Qin, Cheng-Zhi(qincz@lreis.ac.cn)
英文摘要It is necessary to develop a flexible and extensible watershed modeling framework with the support of parallel computing to conduct long-term high-resolution simulations over large areas with diverse watershed characteristics. This paper introduced an open-source, modular, and parallelized watershed modeling framework called SEIMS (short for Spatially Explicit Integrated Modeling System) to meet this need. First, a flexible modular structure with standard interfaces was designed, in which each module corresponds to one simulation algorithm for a watershed subprocess. Then, a parallel-computing middleware based on an improved two-level parallel computing approach was constructed to speed up the computational efficiency. With SEIMS, users can add their own algorithms in a nearly serial programming manner and construct parallelized watershed models. SEIMS also supports model level parallel computation for applications which need numerous model runs. The effectiveness and efficiency of SEIMS were illustrated through the simulation of streamflow in the Youwuzhen watershed, Southeastern China.
资助项目National Natural Science Foundation of China[41431177] ; National Natural Science Foundation of China[41601413] ; National Natural Science Foundation of China[41871362] ; National Natural Science Foundation of China[41871300] ; Innovation Project of LREIS[O88RA20CYA] ; National Basic Research Program of China[2015CB954102] ; PAPD[164320H116] ; Outstanding Innovation Team in Colleges and Universities in Jiangsu Province ; Vilas Associate Award from the University of Wisconsin-Madison ; Hammel Faculty Fellow Award from the University of Wisconsin-Madison ; Manasse Chair Professorship from the University of Wisconsin-Madison ; Excellent Young Scholars project from National Natural Science Foundation of China
WOS关键词HYDROLOGICAL MODEL ; SENSITIVITY-ANALYSIS ; LARGE-SCALE ; DESIGN ; OPTIMIZATION ; CALIBRATION ; INTERFACE ; SOFTWARE
WOS研究方向Computer Science ; Engineering ; Environmental Sciences & Ecology
语种英语
出版者ELSEVIER SCI LTD
WOS记录号WOS:000498063900003
资助机构National Natural Science Foundation of China ; Innovation Project of LREIS ; National Basic Research Program of China ; PAPD ; Outstanding Innovation Team in Colleges and Universities in Jiangsu Province ; Vilas Associate Award from the University of Wisconsin-Madison ; Hammel Faculty Fellow Award from the University of Wisconsin-Madison ; Manasse Chair Professorship from the University of Wisconsin-Madison ; Excellent Young Scholars project from National Natural Science Foundation of China
内容类型期刊论文
源URL[http://ir.igsnrr.ac.cn/handle/311030/130049]  
专题中国科学院地理科学与资源研究所
通讯作者Liu, Junzhi; Qin, Cheng-Zhi
作者单位1.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China
2.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
3.Univ Wisconsin, Dept Geog, Madison, WI 53706 USA
4.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
5.Nanjing Normal Univ, Sch Geog, Nanjing 210023, Jiangsu, Peoples R China
6.Nanjing Normal Univ, Minist Educ, Key Lab Virtual Geog Environm, Nanjing 210023, Jiangsu, Peoples R China
推荐引用方式
GB/T 7714
Zhu, Liang-Jun,Liu, Junzhi,Qin, Cheng-Zhi,et al. A modular and parallelized watershed modeling framework[J]. ENVIRONMENTAL MODELLING & SOFTWARE,2019,122:16.
APA Zhu, Liang-Jun,Liu, Junzhi,Qin, Cheng-Zhi,&Zhu, A-Xing.(2019).A modular and parallelized watershed modeling framework.ENVIRONMENTAL MODELLING & SOFTWARE,122,16.
MLA Zhu, Liang-Jun,et al."A modular and parallelized watershed modeling framework".ENVIRONMENTAL MODELLING & SOFTWARE 122(2019):16.
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