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黄河流域水资源承载力评价.
- Source :
-
Journal of Natural Resources / Ziran Ziyuan Xuebao . 2019, Vol. 34 Issue 8, p1759-1770. 12p. - Publication Year :
- 2019
-
Abstract
- Quantitative evaluation of water resources carrying capacity can provide a basis for effective regulation of water resources, improvement of water resources carrying capacity and elimination of water resources overload areas. Based on the new connotation of water resources carrying capacity, an evaluation index system for water resources carrying capacity was constructed which considered four aspects of water quantity, water quality, watershed and water flow. In traditional research of water resources carrying capacity, there existed many uncertain factors and coupling relationships between indicators. In order to address this issue, this paper calculated the weights using EFAST method, which considers the coupling relationship between indicators. The connection entropy model that can overcome the uncertainty of evaluation was carried out to evaluate comprehensive water resources carrying capacity. By taking the Yellow River Basin as an example, the weights of the carrying capacity indices were calculated using EFAST method and weight entropy method respectively and made a comparison between the two methods. Finally, the water resources carrying capacity of 61 cities in this basin in 2015 was comprehensively evaluated. The results showed that: EFAST method was more reasonable than entropy weight method in identifying important indicators. Cities whose water resources carrying capacity were at grade I (very high), grade II (higher), grade III (medium), grade IV (lower) and grade V (very low) levels accounted for 0%, 4.9%, 18.1%, 63.9% and 13.1% respectively of the number of cities in the Yellow River Basin. The cities of grades IV and V were distributed in provinces except Qinghai. [ABSTRACT FROM AUTHOR]
Details
- Language :
- Chinese
- ISSN :
- 10003037
- Volume :
- 34
- Issue :
- 8
- Database :
- Academic Search Index
- Journal :
- Journal of Natural Resources / Ziran Ziyuan Xuebao
- Publication Type :
- Academic Journal
- Accession number :
- 139055293
- Full Text :
- https://doi.org/10.31497/zrzyxb.20190815