From resettlement to revitalization: Examining the water resource environment carrying capacity of ecological migrant resettlement areas in China

被引:1
|
作者
Zhao, Ru [1 ]
Long, Dongping [2 ]
Yang, Meiling [3 ]
Fan, Xingang [4 ]
机构
[1] South China Normal Univ, Sch Geog, Guangzhou, Peoples R China
[2] Guangzhou Univ, Ctr Geoinformat Publ Secur, Sch Geog & Remote Sensing, Guangzhou, Peoples R China
[3] Ningxia Univ, Sch Geog & Planning, Yinchuan, Peoples R China
[4] Ningxia Univ, Sch Econ & Management, Yinchua, Peoples R China
基金
中国国家自然科学基金;
关键词
Water resource environment carrying capacity; (WRECC); Threshold; Leverage point; Gray system model; System dynamics (SD); Ecological migrant resettlement area; COMPREHENSIVE EVALUATION; RIVER-BASIN; SYSTEM; MODEL; CITY;
D O I
10.1016/j.ecolind.2024.111879
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
Identifying the threshold and leverage point of water resource environment carrying capacity (WRECC) is crucial for effectively adjusting the industrial structure, population migration, and regional planning. This study has introduced the concept of leverage points and employed both the gray system model and the system dynamic (SD) model to reveal the threshold of WRECC and capture the coupling relationship between the population growth system and the WRECC system in Hongsibao County, China. Three typical scenarios were designed for distinct purposes and simulated by the constructed SD model in Hongsibao County from 2021 to 2030. The results indicate that the quantity of water resource carrying capacity, rather than the quality, is a critical shortcoming hindering socio-economic sustainability in Hongsibao County. Threshold and leverage point analysis showed that the increased development speed scenario performed the worst in terms of WRECC (28.02 x 104 persons in 2021) and leverage point (23.65 x 104 persons in 2026). The steady development scenario is considerably more effective for improving WRECC and boosting system recovery and conditioning, and the steady development scenario performs the best in both aspects. To achieve stable development, priority actions are necessary. Firstly, it is imperative to improve agricultural water-saving irrigation rates while addressing soil salinization in Hongsibao County. Secondly, efforts should be directed toward developing the grape industry, breeding industry, and wolfberry industry to stimulate economic growth while avoiding excessive water consumption. Finally, promoting the establishment of comprehensive sewage disposal infrastructure in rural areas is vital for protecting the water environment.
引用
收藏
页数:16
相关论文
共 50 条
  • [41] Spatiotemporal Heterogeneity and Driving Factors of Water Resource and Environment Carrying Capacity under High-Quality Economic Development in China
    Zhang, Qian
    Shen, Juqin
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (17)
  • [42] Evaluation of the Water Resource Carrying Capacity on the North Slope of the Tianshan Mountains, Northwest China
    Zhi, Xiaojun
    Anfuding, Gulishengmu
    Yang, Guang
    Gong, Ping
    Wang, Chunxia
    Li, Yi
    Li, Xiaolong
    Li, Pengfei
    Liu, Chenxi
    Qiao, Changlu
    Gao, Yongli
    SUSTAINABILITY, 2022, 14 (03)
  • [43] The study on spatial distribution of water ecological environment carrying capacity during extreme drought conditions
    Zhou, Yang
    Gui, Yingying
    Zhou, Qiang
    Li, Li
    Chen, Miaomiao
    Liu, Yuling
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [44] Assessing carrying capacity of regional water resources in karst areas, southwest China: a case study
    Tao Peng
    Zhiyuan Jin
    Lujun Xiao
    Environment, Development and Sustainability, 2023, 25 : 15139 - 15162
  • [45] Assessing carrying capacity of regional water resources in karst areas, southwest China: a case study
    Peng, Tao
    Jin, Zhiyuan
    Xiao, Lujun
    ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY, 2023, 25 (12) : 15139 - 15162
  • [46] Comprehensive comparison and assessment of three models evaluating water resource carrying capacity in Beijing, China
    Li, Yaqing
    Zhang, Jing
    Song, Yongyu
    ECOLOGICAL INDICATORS, 2022, 143
  • [47] Evaluation of the water resource carrying capacity in Heilongjiang, eastern China, based on the improved TOPSIS model
    Lv, Bo
    Liu, Changrong
    Li, Tianxiao
    Meng, Fanxiang
    Fu, Qiang
    Ji, Yi
    Hou, Renjie
    ECOLOGICAL INDICATORS, 2023, 150
  • [48] Provincial perspective analysis on the coordination between urbanization growth and resource environment carrying capacity (RECC) in China
    Liao, Shiju
    Wu, Ya
    Wong, Siu Wai
    Shen, Liyin
    SCIENCE OF THE TOTAL ENVIRONMENT, 2020, 730
  • [49] Ecological carrying capacity evaluation from the perspective of social-ecological coupling in the Qilian Mountains, northwest China
    Du, Qinqin
    Wang, Qingzheng
    Guan, Qingyu
    Sun, Yunfan
    Liang, Lushuang
    Pan, Ninghui
    Ma, Yunrui
    Li, Huichun
    GONDWANA RESEARCH, 2025, 141 : 26 - 39
  • [50] Analysis of water?carbon?ecological footprints and resource?environment pressure in the Triangle of Central China
    Chen, Yizhong
    Lu, Hongwei
    Yan, Pengdong
    Yang, Yiyang
    Li, Jing
    Xia, Jun
    ECOLOGICAL INDICATORS, 2021, 125 (125)