Regional water resources carrying capacity index system evaluation model and its application

DOI

10.2991/iceep-18.2018.135How to use a DOI?

Keywords

Water resources carrying capacity; Evaluation; Set pair analysis; Indicator system

Abstract

Water carrying capacity assessment is to reveal the relationship between water resources, population, and economy, fully use water resources, and make economic development go hand in hand with protection of water resources, which simultaneously promote sustainable social and economic development. Based on the analysis of water resources carrying capacity defined, according to the measure of the demand for sustainable use of water resources, the paper combines the principle of selecting evaluation, uses combination of quantitative and qualitative analysis method to prefer indicators, in order to meet the maximum importance, representativeness, certainty and independence of indicators, then establishes 20 evaluation index system from three aspects of socio-economic, ecological environment and water resources systems. Based on the existing research results, combine the social and economic development level and characteristics of water resources carrying capacity assessment, regional water resources carrying capacity is divided into five levels: good, better, normal, poorer and poor. Set pair analysis method is proposed to evaluate the system, which can be described some certainty and uncertainty, and fully reflect the unity of opposites certainty and uncertainty system. Compared with traditional evaluations such as expert scoring method, fuzzy comprehensive evaluation method, gray clustering evaluation method, principal component analysis and factor analysis method, set pair analysis method can objective reflect the real situation of the evaluation and is simple to calculate and more workable. Finally, Gaochun District, which located in the southwest of Jiangsu Province, China, is select as a case study area. Consider the future direction of social and economic development, certain engineering and non-engineering measures can significantly improve the local water resources carrying capacity.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yingqin Chen
PY  - 2018/09
DA  - 2018/09
TI  - Regional water resources carrying capacity index system evaluation model and its application
BT  - Proceedings of the 2018 7th International Conference on Energy and Environmental Protection (ICEEP 2018)
PB  - Atlantis Press
SP  - 774
EP  - 779
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceep-18.2018.135
DO  - 10.2991/iceep-18.2018.135
ID  - Chen2018/09
ER  -