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An improved gridded water resource distribution for China based on second-order basin data
Guo, Bing1,2,3,4,5; Yang, Fei6; Fan, Yewen3; Han, Fang2; Jiang, Lin2; He, Tianli2; Zhang, Hui2; Chen, Shuting2
2019
Source PublicationGEOMATICS NATURAL HAZARDS & RISK
ISSN1947-5705
Volume10Issue:1Pages:368-384
Corresponding AuthorFan, Yewen(1391701562@qq.com)
AbstractWater resources are essential for the land surface system and human life and activity. However, gridded water resource data that can reflect subtle differences of spatial distribution within water basins are scarce. This article has introduced six factors: precipitation, aridity, evapotranspiration, slope, vegetation, and catchment area, to develop an improved gridded model for water resource distribution in China based on the partition-weight assignment method. The results showed that the improved gridded water resource distribution method based on second-order basins has high applicability for China. It demonstrates an overall spatialization error of 7.68% for third-order basins and 7.25% for provincial administrative units. In addition, the spatialization precision of the Yangtze River Basin, Songhua River basin, and Southern River Basin, is better than that of the middle and lower reaches of Yellow River Basin, Huaihe River Basin, and Northwestern River Basin. The relationship between the water resource distribution and gross domestic product density differed with the size of urban areas and geographical locations. These results can provide scientific support and databases for the management of regional water resources.
KeywordWater resource gridded method second-order basin spatial distribution precipitation
DOI10.1080/19475705.2018.1525435
WOS KeywordHEIHE RIVER-BASIN ; INPUT-OUTPUT-ANALYSIS ; ECONOMIC-GROWTH ; NORTHERN CHINA ; URBANIZATION ; GROUNDWATER ; CONSUMPTION ; IRRIGATION ; MANAGEMENT ; DEMAND
Indexed BySCI
Language英语
Funding ProjectKey Laboratory of Geographic Information Science (Ministry of Education), East China Normal University[KLGIS2017A02] ; State Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University[17I04] ; Natural Science Foundation of Shandong Province[ZR2018BD001] ; Natural Science Foundation of Shandong Province[ZR2015DL006] ; Key Laboratory for National Geographic Census and Monitoring, National Administration of Surveying, Mapping and Geoinformation[2016NGCM02] ; Hubei Key Laboratory of Regional Development and Environmental Response (Hubei University)[2017(B) 003] ; National Key R&D Program of China[2017YFA0604804] ; Initial Scientific Research Fund of doctor in Shandong University of Technology[4041/416027]
Funding OrganizationKey Laboratory of Geographic Information Science (Ministry of Education), East China Normal University ; State Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University ; Natural Science Foundation of Shandong Province ; Key Laboratory for National Geographic Census and Monitoring, National Administration of Surveying, Mapping and Geoinformation ; Hubei Key Laboratory of Regional Development and Environmental Response (Hubei University) ; National Key R&D Program of China ; Initial Scientific Research Fund of doctor in Shandong University of Technology
WOS Research AreaGeology ; Meteorology & Atmospheric Sciences ; Water Resources
WOS SubjectGeosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences ; Water Resources
WOS IDWOS:000454489200001
PublisherTAYLOR & FRANCIS LTD
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/51274
Collection中国科学院地理科学与资源研究所
Corresponding AuthorFan, Yewen
Affiliation1.East China Normal Univ, Key Lab Geog Informat Sci, Minist Educ, Shanghai, Peoples R China
2.Shandong Univ Technol, Sch Civil Architectural Engn, Zibo, Shandong, Peoples R China
3.Wuhan Univ, State Key Lab Informat Engn Surveying, Mapping & Remote Sensing, Wuhan, Hubei, Peoples R China
4.Natl Adm Surveying Mapping & Geoinformat, Key Lab Natl Geog Census & Monitoring, Wuhan, Hubei, Peoples R China
5.Hubei Univ, Hubei Key Lab Reg Dev & Environm Response, Wuhan, Hubei, Peoples R China
6.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Guo, Bing,Yang, Fei,Fan, Yewen,et al. An improved gridded water resource distribution for China based on second-order basin data[J]. GEOMATICS NATURAL HAZARDS & RISK,2019,10(1):368-384.
APA Guo, Bing.,Yang, Fei.,Fan, Yewen.,Han, Fang.,Jiang, Lin.,...&Chen, Shuting.(2019).An improved gridded water resource distribution for China based on second-order basin data.GEOMATICS NATURAL HAZARDS & RISK,10(1),368-384.
MLA Guo, Bing,et al."An improved gridded water resource distribution for China based on second-order basin data".GEOMATICS NATURAL HAZARDS & RISK 10.1(2019):368-384.
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