中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Cloud model driven assessment of interregional water ecological carrying capacity and analysis of its spatial-temporal collaborative relation

文献类型:期刊论文

作者Yang, Lingzhi2; Chen, Yizhong2; Lu, Hongwei1; Qiao, Youfeng2; Peng, He2; He, Pengming2; Zhao, Yunshuo2
刊名JOURNAL OF CLEANER PRODUCTION
出版日期2023-01-15
卷号384页码:17
关键词Water ecological carrying capacity Cloud model Combination prediction Spatial -temporal collaborative relation Efficiency analysis
ISSN号0959-6526
DOI10.1016/j.jclepro.2022.135562
通讯作者Chen, Yizhong(2019075@hebut.edu.cn)
英文摘要Water ecological carrying capacity (WECC) plays a significant role in the regional sustainable development. This study integrates techniques of normal cloud model, variable-weight combination prediction model, binary and multivariate spatial-temporal matching models, and the improved data envelopment analysis model for analyzing historical and future evolution, spatial-temporal collaborative relation, and input-output efficiency of WECC in the Beijing-Tianjin-Hebei (BTH) and Yangtze River Economic Zone (YREZ). Results reveal a generally fluctuating upward tendency of WECC level in the BTH and YREZ, in which water resources subsystem and socio-economic subsystem should be preferentially monitored in the eastern and midwestern YREZ, respectively. Combination prediction model has lower error than individual ones in terms of WECC forecasts. The binary spatial-temporal matching degrees between two WECC subsystems are equal to or above the medium state in the BTH and YREZ. The multivariate matching degrees decline and extremely fluctuate compared with the binary ones. WECC level and per capita GDP is presented as inverted N-shaped in the western region, while the rest regions are shown as U-shaped or N-shaped. WECC efficiency rises in fluctuation, especially in the central YREZ, while that in the BTH and western YREZ increases slowly with growth rates of 0.28% and 0.26%, respectively. These findings can facilitate improving regional WECC and making rational planning of water resources.
WOS关键词RESOURCES ; CHINA ; CONSUMPTION ; MANAGEMENT
资助项目National Natural Science Foundation of China[42107479] ; National Natural Science Foundation of China[41890824] ; Natural Science Foundation of Hebei Province[E2020202117] ; Soft Science Research Project of Hebei Province[22554204D] ; China Association for Science and Technology Think Tank Youth Talent Plan[20220615ZZ07110045] ; Science and Technology Project of Hebei Education Department[BJ2020019] ; Project for Graduate Innovation in Hebei Province[CXZZSS2022033]
WOS研究方向Science & Technology - Other Topics ; Engineering ; Environmental Sciences & Ecology
语种英语
WOS记录号WOS:000905644400001
出版者ELSEVIER SCI LTD
资助机构National Natural Science Foundation of China ; Natural Science Foundation of Hebei Province ; Soft Science Research Project of Hebei Province ; China Association for Science and Technology Think Tank Youth Talent Plan ; Science and Technology Project of Hebei Education Department ; Project for Graduate Innovation in Hebei Province
源URL[http://ir.igsnrr.ac.cn/handle/311030/188807]  
专题中国科学院地理科学与资源研究所
通讯作者Chen, Yizhong
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
2.Hebei Univ Technol, Sch Econ & Management, Tianjin 300401, Peoples R China
推荐引用方式
GB/T 7714
Yang, Lingzhi,Chen, Yizhong,Lu, Hongwei,et al. Cloud model driven assessment of interregional water ecological carrying capacity and analysis of its spatial-temporal collaborative relation[J]. JOURNAL OF CLEANER PRODUCTION,2023,384:17.
APA Yang, Lingzhi.,Chen, Yizhong.,Lu, Hongwei.,Qiao, Youfeng.,Peng, He.,...&Zhao, Yunshuo.(2023).Cloud model driven assessment of interregional water ecological carrying capacity and analysis of its spatial-temporal collaborative relation.JOURNAL OF CLEANER PRODUCTION,384,17.
MLA Yang, Lingzhi,et al."Cloud model driven assessment of interregional water ecological carrying capacity and analysis of its spatial-temporal collaborative relation".JOURNAL OF CLEANER PRODUCTION 384(2023):17.

入库方式: OAI收割

来源:地理科学与资源研究所

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