IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i4p2469-d754395.html
   My bibliography  Save this article

Optimizing the Water Ecological Environment of Mining Cities in the Yangtze River Economic Belt Using the Cloud Model, CV-TOPSIS, and Coupling Coordination Degree

Author

Listed:
  • Ran Wang

    (School of Economic & Management, China University of Geosciences, Wuhan 430074, China
    Research Center of Resource and Environmental Economics, China University of Geosciences, Wuhan 430074, China)

  • Hao Lin

    (Research Center of Resource and Environmental Economics, China University of Geosciences, Wuhan 430074, China)

  • Jinhua Cheng

    (School of Economic & Management, China University of Geosciences, Wuhan 430074, China
    Research Center of Resource and Environmental Economics, China University of Geosciences, Wuhan 430074, China)

  • Zixi Xu

    (Research Center of Resource and Environmental Economics, China University of Geosciences, Wuhan 430074, China)

  • Haoying Feng

    (Research Center of Resource and Environmental Economics, China University of Geosciences, Wuhan 430074, China)

  • Yameng Tang

    (Research Center of Resource and Environmental Economics, China University of Geosciences, Wuhan 430074, China)

Abstract

The Yangtze River Economic Belt (YREB) is the core region for the security of mineral resources in China and is a strategic water source containing rich water resources. Coordinating the security of mineral resources and water resources in the YREB is a key problem. Establishing and optimizing the water ecological environment (WEE) is crucial for addressing this problem in mining cities, which are the main bases for the supply of mineral resources. This study applies the cloud model, CV-TOPSIS, the standard deviation ellipse, and the coupling coordination degree model to evaluate the WEE and the coordinated development state, and to optimize the WEE. The results show that: (1) the WEE of mining cities in the YREB is generally good; (2) the protection of WEE in most mining cities has achieved significant results recently, and the results in the downstream are more remarkable than those in the mid-upstream; (3) the coordinated development of WEE in regenerative mining cities is better than that of mature and declining cities; and (4) most mining cities still belong to the lagging type of water environment (heavy metal pollution has been better treated and the threat of water ecological security caused by heavy metal pollution is low). This study suggests improvements to the sewer system, promotes WEE management in the mid-upstream, and propels the transformational development of mature and declining mining cities in advance.

Suggested Citation

  • Ran Wang & Hao Lin & Jinhua Cheng & Zixi Xu & Haoying Feng & Yameng Tang, 2022. "Optimizing the Water Ecological Environment of Mining Cities in the Yangtze River Economic Belt Using the Cloud Model, CV-TOPSIS, and Coupling Coordination Degree," IJERPH, MDPI, vol. 19(4), pages 1-21, February.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:4:p:2469-:d:754395
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/4/2469/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/4/2469/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Amin Salehpour Jam & Jamal Mosaffaie & Faramarz Sarfaraz & Samad Shadfar & Rouhangiz Akhtari, 2021. "GIS-based landslide susceptibility mapping using hybrid MCDM models," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 108(1), pages 1025-1046, August.
    2. Zeng, Lijun & Wang, Bingcheng & Fan, Liu & Wu, Jianguo, 2016. "Analyzing sustainability of Chinese mining cities using an association rule mining approach," Resources Policy, Elsevier, vol. 49(C), pages 394-404.
    3. Roni Armis & Hidehiko Kanegae, 2020. "The attractiveness of a post-mining city as a tourist destination from the perspective of visitors: a study of Sawahlunto old coal mining town in Indonesia," Asia-Pacific Journal of Regional Science, Springer, vol. 4(2), pages 443-461, June.
    4. Wang, Ran & Cheng, Jinhua & Zhu, Yali & Xiong, Weiwei, 2016. "Research on diversity of mineral resources carrying capacity in Chinese mining cities," Resources Policy, Elsevier, vol. 47(C), pages 108-114.
    5. Jiao, Wenting & Zhang, Xiaosen & Li, Changhong & Guo, Jiaqi, 2021. "Sustainable transition of mining cities in China: Literature review and policy analysis," Resources Policy, Elsevier, vol. 74(C).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Izabela Jonek-Kowalska & Marian Turek, 2022. "The Economic Situation of Polish Cities in Post-Mining Regions. Long-Term Analysis on the Example of the Upper Silesian Coal Basin," Energies, MDPI, vol. 15(9), pages 1-21, April.
    2. Jiao, Wenting & Zhang, Xiaosen & Li, Changhong & Guo, Jiaqi, 2021. "Sustainable transition of mining cities in China: Literature review and policy analysis," Resources Policy, Elsevier, vol. 74(C).
    3. Shen, Jun & Tang, Pengcheng & Zeng, Hao & Cheng, Jinhua & Liu, Xiuli, 2023. "Does emission trading system reduce mining cities’ pollution emissions? A quasi-natural experiment based on Chinese prefecture-level cities," Resources Policy, Elsevier, vol. 81(C).
    4. S. Vögele & K. Govorukha & P. Mayer & I. Rhoden & D. Rübbelke & W. Kuckshinrichs, 2023. "Effects of a coal phase-out in Europe on reaching the UN Sustainable Development Goals," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(1), pages 879-916, January.
    5. Zeng, Lijun & Zhao, Yue & Wang, Xilian, 2022. "How to develop the new urbanization in mineral resources abundant regions in China? A VIKOR-based path matching model," Resources Policy, Elsevier, vol. 79(C).
    6. Xuanmiao Peng & Xiaoai Dai & Ryan Shi & Yujian Zheng & Xinyue Liu & Yuhe Xiao & Weile Li & Yang Zhang & Jue Wang & Huan Huang, 2024. "Investigating the Effects of Mining on Ecosystem Services in Panzhihua City: A Multi-Scenario Analysis," Land, MDPI, vol. 13(6), pages 1-25, June.
    7. Li, Qiangyi & Zeng, Fu'e & Liu, Shaohui & Yang, Mian & Xu, Fei, 2021. "The effects of China's sustainable development policy for resource-based cities on local industrial transformation," Resources Policy, Elsevier, vol. 71(C).
    8. Li, Yongbo & Barrueta Pinto, Mark Christhian & Kumar, D. Thresh, 2023. "Analyzing sustainability indicator for Chinese mining sector," Resources Policy, Elsevier, vol. 80(C).
    9. Anna Abramowicz & Oimahmad Rahmonov & Ryszard Chybiorz, 2020. "Environmental Management and Landscape Transformation on Self-Heating Coal-Waste Dumps in the Upper Silesian Coal Basin," Land, MDPI, vol. 10(1), pages 1-22, December.
    10. Zohre Hoseinzade & Asal Zavarei & Kourosh Shirani, 2021. "Application of prediction–area plot in the assessment of MCDM methods through VIKOR, PROMETHEE II, and permutation," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 109(3), pages 2489-2507, December.
    11. Gerui Li & Yalin Lei & Jianping Ge & Sanmang Wu, 2017. "The Empirical Relationship between Mining Industry Development and Environmental Pollution in China," IJERPH, MDPI, vol. 14(3), pages 1-20, March.
    12. Li, Chong-Mao & Nie, Rui, 2017. "An evaluating system for scientific mining of China's coal resources," Resources Policy, Elsevier, vol. 53(C), pages 317-327.
    13. Idris Bello Yamusa & Mohd Suhaili Ismail & Abdulwaheed Tella, 2022. "Highway Proneness Appraisal to Landslides along Taiping to Ipoh Segment Malaysia, Using MCDM and GIS Techniques," Sustainability, MDPI, vol. 14(15), pages 1-21, July.
    14. Zeng, Lijun & Guo, Jiaqi & Wang, Bingcheng & Lv, Jun & Wang, Qin, 2019. "Analyzing sustainability of Chinese coal cities using a decision tree modeling approach," Resources Policy, Elsevier, vol. 64(C).
    15. Lin, Hongbo & Zhang, Xiaoling & Chen, Zhenling & Zheng, Heyun, 2020. "Estimating the potential output and output gap for China's coal cities with pollutants reduction," Resources Policy, Elsevier, vol. 68(C).
    16. Wang, Delu & Wan, Kaidi & Song, Xuefeng, 2020. "Understanding coal miners’ livelihood vulnerability to declining coal demand: Negative impact and coping strategies," Energy Policy, Elsevier, vol. 138(C).
    17. Zeng, Lijun & Wang, Jinfeng & Zhang, Jinsuo & Sun, Zhimei & Santibanez Gonzalez, Ernesto D.R., 2021. "A path matching model on new urbanization in mineral resource abundant regions," Resources Policy, Elsevier, vol. 73(C).
    18. Ekaterina Blinova & Tatyana Ponomarenko & Valentin Knysh, 2022. "Analyzing the Concept of Corporate Sustainability in the Context of Sustainable Business Development in the Mining Sector with Elements of Circular Economy," Sustainability, MDPI, vol. 14(13), pages 1-30, July.
    19. Huiming Zhang & Lifang Xiong & Yueming Qiu & Dequn Zhou, 2017. "How Have Political Incentives for Local Officials Reduced Environmental Pollution in Resource-Depleted Cities?," Sustainability, MDPI, vol. 9(11), pages 1-14, October.
    20. Jonmenjoy Barman & Brototi Biswas & K. Srinivasa Rao, 2024. "A hybrid integration of analytical hierarchy process (AHP) and the multiobjective optimization on the basis of ratio analysis (MOORA) for landslide susceptibility zonation of Aizawl, India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 120(9), pages 8571-8596, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:4:p:2469-:d:754395. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.