An improved gridded water resource distribution for China based on second-order basin data

doi:10.1080/19475705.2018.1525435

	An improved gridded water resource distribution for China based on second-order basin data
	Guo, Bing 1,2,3,4,5; Yang, Fei 6; Fan, Yewen 3; Han, Fang 2; Jiang, Lin 2; He, Tianli 2; Zhang, Hui 2; Chen, Shuting 2
刊名	GEOMATICS NATURAL HAZARDS & RISK
	2019
卷号	10 期号:1 页码:368-384
关键词	Water resource gridded method second-order basin spatial distribution precipitation
ISSN号	1947-5705
DOI	10.1080/19475705.2018.1525435
通讯作者	Fan, Yewen(1391701562@qq.com)
英文摘要	Water 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.
资助项目	Key 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]
WOS关键词	HEIHE RIVER-BASIN ; INPUT-OUTPUT-ANALYSIS ; ECONOMIC-GROWTH ; NORTHERN CHINA ; URBANIZATION ; GROUNDWATER ; CONSUMPTION ; IRRIGATION ; MANAGEMENT ; DEMAND
WOS研究方向	Geology ; Meteorology & Atmospheric Sciences ; Water Resources
语种	英语
出版者	TAYLOR & FRANCIS LTD
WOS记录号	WOS:000454489200001
资助机构	Key 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
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/51273]
专题	中国科学院地理科学与资源研究所
通讯作者	Fan, Yewen
作者单位	1.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
推荐引用方式 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.