Urban transformation is an inevitable trend for mining cities to achieve sustainable development. Analyzing the spatiotemporal evolution laws and driving mechanisms of mining cities is necessary for providing a scientific basis for their transformation. In this study, Jixi was taken as an example, which is a typical mining city in China. Based on geographic information system, various mathematical statistical analysis methods were used to quantitatively analyze the evolution pattern of mining cities. In addition, the driving mechanisms of land expansion in mining cities were examined further. The results showed that (1) the urban land in the mining city is mainly distributed in low-lying areas, and land expansion mainly occurred in flat areas. (2) Based on the distribution of mineral resources, the land use pattern of mining cities was scattered; with steady economic development, the urban spatial pattern tends to be compact. (3) The spatial pattern of mining cities is affected by natural, economic, and policy factors. The results reveal the spatiotemporal evolution law and driving mechanism of the patterns in mining cities, thereby providing a scientific basis for the sustainable development planning and land management of mining cities.
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http://dx.doi.org/10.1007/s11356-021-16488-5 | DOI Listing |
PLoS 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.
View Article and Find Full Text PDFEcotoxicol Environ Saf
December 2024
State Key Laboratory of Environmental Criteria and Risk Assessment, and State Environmental Protection Key Laboratory of Simulation and Control of Groundwater Pollution, Chinese Research Academy of Environmental Sciences, Beijing 100012, China. Electronic address:
Soil is the place where human beings, plants, and animals depend on for their survival and the link between the various ecological layers. Groundwater is an important component of water resources and is one of the most important sources of water for irrigated agriculture, industry, mining and cities because of its stable quantity and quality. Soil and groundwater are important strategic resources highly valued by countries around the world.
View Article and Find Full Text PDFPLoS One
December 2024
State Key Laboratory for Tunnel Engineering, China University of Mining and Technology (Beijing), Beijing, China.
To achieve a more precise delineation of ecosystem sensitivity control areas, this study examines the Mentougou District in Beijing and introduces the Ecosystem Sensitivity Control Area Classification Method (ESCACM). This novel approach combines single-factor sensitivity analysis, multi-factor comprehensive sensitivity assessments, and strategies for zoning based on various ecological scenarios. The study categorizes the region into three specific zones: first-level management and control areas, second-level management and control areas, and non-management and control areas.
View Article and Find Full Text PDFMaterials (Basel)
November 2024
Higher Technical School of Civil Engineers, Technical University of Madrid, 28039 Madrid, Spain.
The shear strength and resistance of granular materials are critical indicators in geotechnical engineering and infrastructure construction. Both sliding and rotation influence the energy evolution of soil granular motion during shear. To examine the effects of particle rotation on shear damage and energy evolution in granular systems, we first describe the transformation of irregularly shaped particles into regular shapes via geometrical parameters, ensuring the invariance of energy density and density.
View Article and Find Full Text PDFJ Environ Manage
December 2024
School of Mechanics and Civil Engineering, China University of Mining and Technology, No1, Daxue Road, Xuzhou, Jiangsu, 221116, China. Electronic address:
Green technology and artificial intelligence (AI) are playing a positive role in reducing carbon emissions. Technology convergence, as a typical form of technological innovation, can expedite the realization of low-carbon goals through the outcomes of AI and green technology convergence (e.g.
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