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.
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http://dx.doi.org/10.3390/ijerph19042469 | DOI Listing |
Sci Total Environ
January 2025
School of Environmental Science and Engineering, Indian Institute of Technology Kharagpur, Kharagpur 721302, India; Department of Mining Engineering, Indian Institute of Technology Kharagpur, Kharagpur 721302, India.
Coastal ecosystems are increasingly threatened by the accumulation of marine litter globally. Limited data availability along India's eastern coast hinders targeted mitigation efforts. This study assesses coastal litter along Visakhapatnam, a smart city on India's eastern coast, using the NOAA shoreline debris protocol.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
January 2025
Water Resources Development and Management, Indian Institute of Technology, Roorkee, Uttarakhand, India.
The rapid urbanization, industrial growth, and socio-cultural activities along riverbanks in hilly cities are transforming land use and intensifying water infrastructure challenges. Paonta Sahib, a culturally significant town in Himachal Pradesh on the Yamuna River, along the foothills of the Himalayas exemplifies these pressures due to its religious tourism, industrialization, and mining activities. This study explores sustainable riverfront development at Paonta Sahib, addressing socio-cultural, environmental, and technical concerns essential for eco-sensitive urban planning.
View Article and Find Full Text PDFJ Hazard Mater
December 2024
Saxon State Office for Environment, Agriculture and Geology, Halsbrückerstr. 31a, Freiberg 09599, Germany.
Historical mining towns face financial challenges with the proposed Soil Monitoring Law of the European Union, which will require the management of soil contamination, since remediating soil in densely populated towns and cities is challenging. We compared the environmental impact of sulfide ore mining in the urban area of Outokumpu in Finland with that of other European sites, focusing on soil contamination. Soil sampling revealed that mine tailings were historically used in road construction.
View Article and Find Full Text PDFSci Rep
December 2024
School of Business Administration, Liaoning Technical University, Huludao, China.
The smart city, characterized by its complexity and expansiveness, entails intricate collaborative governance processes involving a multitude of elements. We have established a smart city collaborative governance system and formulated a system dynamics model based on the interaction dynamics among the internal elements of the collaborative governance subsystems: the subject, object, and environment. Policy adjustment variables were carefully selected to simulate six policy combination scenarios, illustrating the developmental trajectory of Dongguan City's smart city collaborative governance system from 2015 to 2030, within the context of various policy paradigms.
View Article and Find Full Text PDFPLoS One
December 2024
College of Forestry, Jiangxi Agricultural University, Nanchang, Jiangxi Province, China.
The evaluation of urban noise suitability is crucial for urban environmental management. Efficient and cost-effective methods for obtaining noise distribution data are of great interest. This study introduces various machine learning methods and applies the Random Forest algorithm, which performed best, to investigate noise suitability in the central urban area of Nanchang City.
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