Spatial optimization of watershed best management practice scenarios based on boundary-adaptive configuration units

doi:10.1177/0309133320939002

	Spatial optimization of watershed best management practice scenarios based on boundary-adaptive configuration units
	Zhu, Liang-Jun 2,3; Qin, Cheng-Zhi 2,3,4; Zhu, A-Xing 1,2,3,4,5,6
刊名	PROGRESS IN PHYSICAL GEOGRAPHY-EARTH AND ENVIRONMENT
	2020-07-28
页码	21
关键词	Spatial optimization watershed modeling best management practices fuzzy slope positions boundary-adaptive units
ISSN号	0309-1333
DOI	10.1177/0309133320939002
通讯作者	Qin, Cheng-Zhi(qincz@lreis.ac.cn)
英文摘要	Spatial optimization of watershed best management practice (BMP) scenarios based on watershed modeling is an effective decision support tool for watershed management. During such optimization, existing types of BMP configuration units for configuring BMPs (or BMP configuration units, e.g. subbasins, hydrologic response units, farms) remain fixed boundaries once they have been created through spatial discretization prior to BMP scenario optimization. This sort of "boundary-fixed" method does not allow for adjustments to the spatial characteristics of BMP configuration units. Hence, it runs the risk of missing superior BMP scenarios that could have been obtained by adjusting unit boundaries and may produce less effective spatial optimization. In this article, we propose a new approach to the spatial optimization of BMP scenarios based on boundary-adaptive configuration units. The proposed optimization approach adopts slope positions (basic landform units along hillslopes inherently related to physical hillslope processes) as BMP configuration units and dynamically adjusts their boundaries by using quantitative information about their spatial gradation (i.e. fuzzy slope positions) during the optimization. A case study conducted in the Youwuzhen watershed in Fujian, China, showed that the proposed optimization approach can significantly enlarge the search space and obtain optimal BMP scenarios with better cost-effectiveness and higher optimization efficiency than with boundary-fixed units. The proposed optimization approach provides a new alternative framework for spatial optimization of BMP scenarios, in which other watershed models, intelligent optimization algorithms, and BMP configuration units available for boundary adjustment can be applied to BMP scenario optimization in a boundary-adaptive manner. This study also exemplifies the potential for transforming qualitative, vague, and empirical geographical knowledge about slope position units related to physical hillslope processes and BMPs into quantitative, explicit, and automated geospatial algorithms for effectively resolving environmental management problems in a more geographically meaningful way.
资助项目	National Natural Science Foundation of China[41871362] ; Chinese Academy of Sciences[XDA23100503] ; National Key R&D Program of China[2016YFC0500205] ; Innovation Project of LREIS[O88RA20CYA] ; PAPD[164320H116] ; Outstanding Innovation Team in Colleges and Universities in Jiangsu Province ; Vilas Associate Award ; Hammel Faculty Fellow Award ; Manasse Chair Professorship from the University of Wisconsin-Madison
WOS关键词	GENETIC ALGORITHM ; OPTIMAL LOCATION ; BMP PLACEMENT ; SOIL ; MODEL ; CLASSIFICATION ; CONSERVATION ; COST ; LOAD ; VARIABILITY
WOS研究方向	Physical Geography ; Geology
语种	英语
出版者	SAGE PUBLICATIONS LTD
WOS记录号	WOS:000557204300001
资助机构	National Natural Science Foundation of China ; Chinese Academy of Sciences ; National Key R&D Program of China ; Innovation Project of LREIS ; PAPD ; Outstanding Innovation Team in Colleges and Universities in Jiangsu Province ; Vilas Associate Award ; Hammel Faculty Fellow Award ; Manasse Chair Professorship from the University of Wisconsin-Madison
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/157980]
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.Nanjing Normal Univ, Minist Educ, Key Lab Virtual Geog Environm, Nanjing, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, LREIS, Beijing, Peoples R China 3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China 4.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing, Peoples R China 5.Nanjing Normal Univ, Sch Geog, Nanjing, Peoples R China 6.Univ Wisconsin Madison, Dept Geog, Madison, WI USA
推荐引用方式 GB/T 7714	Zhu, Liang-Jun,Qin, Cheng-Zhi,Zhu, A-Xing. Spatial optimization of watershed best management practice scenarios based on boundary-adaptive configuration units[J]. PROGRESS IN PHYSICAL GEOGRAPHY-EARTH AND ENVIRONMENT,2020:21.
APA	Zhu, Liang-Jun,Qin, Cheng-Zhi,&Zhu, A-Xing.(2020).Spatial optimization of watershed best management practice scenarios based on boundary-adaptive configuration units.PROGRESS IN PHYSICAL GEOGRAPHY-EARTH AND ENVIRONMENT,21.
MLA	Zhu, Liang-Jun,et al."Spatial optimization of watershed best management practice scenarios based on boundary-adaptive configuration units".PROGRESS IN PHYSICAL GEOGRAPHY-EARTH AND ENVIRONMENT (2020):21.