IGSNRR OpenIR
Spatial optimization of watershed best management practices based on slope position units
Qin, C. -Z.1,2,3; Gao, H. -R.2,4; Zhu, L. -J.2,4; Zhu, A-X.3,4,5,6; Liu, J. -Z.3,7; Wu, H.8
2018-09-01
Source PublicationJOURNAL OF SOIL AND WATER CONSERVATION
ISSN0022-4561
Volume73Issue:5Pages:504-517
Corresponding AuthorZhu, L. -J.()
AbstractSpatial optimization of best management practices (BMPs) is an effective way to select and allocate BMPs for watershed management such as soil and water conservation and nonpoint source pollution reduction. The commonly used spatial units for BMP configuration (or BMP configuration units) include subbasins, hydrologic response units (HRUs), farms, and fields. Normally, these spatial units are not homogeneous functional units from the perspective of physical geography at the hillslope scale (in terms of geomorphic and hydrologic conditions of the hillslope, for example), and thus cannot effectively represent the spatial relationships between BMPs and spatial locations with respect to hillslope processes from upstream to downstream. This makes it difficult to efficiently and rationally construct spatial optimizations for watershed BMPs. This paper proposes a spatial BMP optimization approach based on slope position units, which are homogeneous spatial units with physical geographic features. In the proposed approach, slope position units are used as BMP configuration units by which the relationships between BMPs and slope positions along a hillslope can be explicitly considered during BMP scenario initialization and optimization via genetic algorithm (i.e., NSGA-II). A distributed and physically based watershed model was used to evaluate the environmental effectiveness (i.e., the reduction rate of soil erosion), and a simple estimation method was developed to calculate the net cost of BMP scenarios. A case study was conducted in a small hilly watershed in the typical red-soil region of the Fujian Province in southeastern China, which suffers severely from soil erosion. A simple system of three types of slope positions (i.e., ridge, backslope, and valley) was used to delineate BMP configuration units. Four BMPs that are used in actual Chinese red-soil regions (closing measures, arborbush-herb mixed plantation, low-quality forest improvement, and orchard improvement) were considered in the proposed approach to achieve the multiple optimization objectives, which included maximizing the reduction ratio of soil erosion and minimizing the net cost of the BMP scenario. The proposed approach was compared with the standard random optimization approach, which selects and allocates BMPs randomly on BMP configuration units. The results show that the proposed approach is more effective and efficient for proposing practical and effective BMP scenarios than the random approach.
Keywordbest management practices genetic algorithm slope position units spatial optimization watershed process simulation
DOI10.2489/jswc.73.5.504
WOS KeywordEVOLUTIONARY ALGORITHMS ; PRECISION CONSERVATION ; ASSESSMENT-TOOL ; ORGANIC-MATTER ; BMP PLACEMENT ; SOIL ; MODEL ; SWAT ; NITROGEN ; CLASSIFICATION
Indexed BySCI
Language英语
Funding ProjectNational Key Technology RD Program[2013BAC08B03-4] ; Natural Science Foundation of China[41422109] ; Natural Science Foundation of China[41431177] ; Natural Science Foundation of China[41601413] ; Natural Science Foundation of China[41701520] ; Innovation Project of the State Key Laboratory of Resources and Environmental Information System[O88RA20CYA] ; Natural Science Foundation of Jiangsu Province of China[BK20150975] ; Vilas Associate Award ; Hammel Faculty Fellow Award ; Manasse Chair Professorship from the University of Wisconsin-Madison ; One-Thousand Talents Program of China
Funding OrganizationNational Key Technology RD Program ; Natural Science Foundation of China ; Innovation Project of the State Key Laboratory of Resources and Environmental Information System ; Natural Science Foundation of Jiangsu Province of China ; Vilas Associate Award ; Hammel Faculty Fellow Award ; Manasse Chair Professorship from the University of Wisconsin-Madison ; One-Thousand Talents Program of China
WOS Research AreaEnvironmental Sciences & Ecology ; Agriculture ; Water Resources
WOS SubjectEcology ; Soil Science ; Water Resources
WOS IDWOS:000444093400006
PublisherSOIL WATER CONSERVATION SOC
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/54294
Collection中国科学院地理科学与资源研究所
Corresponding AuthorZhu, L. -J.
Affiliation1.Chinese Acad Sci, IGSNRR, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China
2.UCAS, Beijing, Peoples R China
3.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing, Jiangsu, Peoples R China
4.Chinese Acad Sci, IGSNRR, LREIS, Beijing, Peoples R China
5.Nanjing Normal Univ, Minist Educ, Key Lab Virtual Geog Environm VGE, Nanjing, Jiangsu, Peoples R China
6.Univ Wisconsin, Dept Geog, Madison, WI 53706 USA
7.Nanjing Normal Univ, Minist Educ, Key Lab VGE, Nanjing, Jiangsu, Peoples R China
8.Hangzhou Dianzi Univ, Smart City Res Ctr, Hangzhou, Zhejiang, Peoples R China
Recommended Citation
GB/T 7714
Qin, C. -Z.,Gao, H. -R.,Zhu, L. -J.,et al. Spatial optimization of watershed best management practices based on slope position units[J]. JOURNAL OF SOIL AND WATER CONSERVATION,2018,73(5):504-517.
APA Qin, C. -Z.,Gao, H. -R.,Zhu, L. -J.,Zhu, A-X.,Liu, J. -Z.,&Wu, H..(2018).Spatial optimization of watershed best management practices based on slope position units.JOURNAL OF SOIL AND WATER CONSERVATION,73(5),504-517.
MLA Qin, C. -Z.,et al."Spatial optimization of watershed best management practices based on slope position units".JOURNAL OF SOIL AND WATER CONSERVATION 73.5(2018):504-517.
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