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Effects of Different Spatial Configuration Units for the Spatial Optimization of Watershed Best Management Practice Scenarios

文献类型：期刊论文

作者Zhu, Liang-Jun1,2; Qin, Cheng-Zhi1,2,3; Zhu, A-Xing1,2,3,4,5; Liu, Junzhi3,4; Wu, Hui6
刊名WATER
出版日期2019-02-01
卷号11期号:2页码:23
关键词spatial configuration units best management practices (BMPs) spatial optimization hydrologic response units (HRUs) hydrologically connected fields slope positions watershed process simulation
ISSN号2073-4441
DOI10.3390/w11020262
通讯作者Qin, Cheng-Zhi(qincz@lreis.ac.cn)
英文摘要Different spatial configurations (or scenarios) of multiple best management practices (BMPs) at the watershed scale may have significantly different environmental effectiveness, economic efficiency, and practicality for integrated watershed management. Several types of spatial configuration units, which have resulted from the spatial discretization of a watershed at different levels and used to allocate BMPs spatially to form an individual BMP scenario, have been proposed for BMP scenarios optimization, such as the hydrologic response unit (HRU) etc. However, a comparison among the main types of spatial configuration units for BMP scenarios optimization based on the same one watershed model for an area is still lacking. This paper investigated and compared the effects of four main types of spatial configuration units for BMP scenarios optimization, i.e., HRUs, spatially explicit HRUs, hydrologically connected fields, and slope position units (i.e., landform positions at hillslope scale). The BMP scenarios optimization was conducted based on a fully distributed watershed modeling framework named the Spatially Explicit Integrated Modeling System (SEIMS) and an intelligent optimization algorithm (i.e., NSGA-II, short for Non-dominated Sorting Genetic Algorithm II). Different kinds of expert knowledge were considered during the BMP scenarios optimization, including without any knowledge used, using knowledge on suitable landuse types/slope positions of individual BMPs, knowledge of upstream-downstream relationships, and knowledge on the spatial relationships between BMPs and spatial positions along the hillslope. The results showed that the more expert knowledge considered, the better the comprehensive cost-effectiveness and practicality of the optimized BMP scenarios, and the better the optimizing efficiency. Thus, the spatial configuration units that support the representation of expert knowledge on the spatial relationships between BMPs and spatial positions (i.e., hydrologically connected fields and slope position units) are considered to be the most effective spatial configuration units for BMP scenarios optimization, especially when slope position units are adopted together with knowledge on the spatial relationships between BMPs and slope positions along a hillslope.
WOS关键词OPTIMAL LOCATION ; BMP PLACEMENT ; SOIL ; MODEL ; COST ; LOAD ; QUANTIFICATION ; VARIABILITY ; STORM
资助项目National Natural Science Foundation of China[41871362] ; National Natural Science Foundation of China[41431177] ; National Key Technology RD Program[2013BAC08B03-4] ; Chinese Academy of Sciences[XDA23100503] ; Innovation Project of LREIS[O88RA20CYA] ; National Basic Research Program of China[2015CB954102] ; 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
WOS研究方向Water Resources
语种英语
WOS记录号WOS:000460899600081
出版者MDPI
资助机构National Natural Science Foundation of China ; National Key Technology RD Program ; Chinese Academy of Sciences ; 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
源URL[http://ir.igsnrr.ac.cn/handle/311030/48595]  
专题中国科学院地理科学与资源研究所
通讯作者Qin, Cheng-Zhi
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Jiangsu, Peoples R China
4.Nanjing Normal Univ, Minist Educ, Key Lab Virtual Geog Environm, Nanjing 210023, Jiangsu, Peoples R China
5.Univ Wisconsin, Dept Geog, Madison, WI 53706 USA
6.Hangzhou Dianzi Univ, Smart City Res Ctr, Hangzhou 310012, Zhejiang, Peoples R China
推荐引用方式
GB/T 7714		 Zhu, Liang-Jun,Qin, Cheng-Zhi,Zhu, A-Xing,et al. Effects of Different Spatial Configuration Units for the Spatial Optimization of Watershed Best Management Practice Scenarios[J]. WATER,2019,11(2):23.
APA Zhu, Liang-Jun,Qin, Cheng-Zhi,Zhu, A-Xing,Liu, Junzhi,&Wu, Hui.(2019).Effects of Different Spatial Configuration Units for the Spatial Optimization of Watershed Best Management Practice Scenarios.WATER,11(2),23.
MLA Zhu, Liang-Jun,et al."Effects of Different Spatial Configuration Units for the Spatial Optimization of Watershed Best Management Practice Scenarios".WATER 11.2(2019):23.

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来源：地理科学与资源研究所

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