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

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.

Knowledge Mapping Analysis of Water Ecological Risk Studies in Mining Areas Based on Web of Science

“…With the continuous promotion of green urbanization, many Region are facing the problem of balancing socio-economic development and eco-environmental protection [2][3]. With the over-exploitation of mineral resources leading to increasingly prominent environmental conflicts such as water shortage, water quality deterioration and water ecology deterioration, the water ecology risk in mining areas has become a significant hidden danger hindering the water ecology safety management and civilization construction in Region [4][5], and has become a significant bottleneck restricting socioeconomic development. The water ecology risk in mining areas has become a hot focus of regional development worldwide.…”

Construction of Spare Parts Importance Evaluation for Cross-Region Harvester Based on Critic and Topsis Method

“…For example, intelligent optimization algorithm is adopted to supervise and make decisions on a large number of spare parts. In the evaluation of the importance information of spare parts, the evaluation methods adopted, including AHP hierarchical analysis (Zandi et al, 2020;Zhang et al, 2021), CRITIC weight, TOPSIS evaluation (Rostamzadeh et al, 2018;Wang et al, 2022) and fuzzy comprehensive evaluation (Li,et al, 2022), have been effectively recognized.…”