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Study on Sustainable Development of Mining Cities by the Method of Relative Resources Carrying Capacity and GM (1, 1) Model

机译:采矿城市可持续发展的载荷能力与通用术(1,1)模型研究

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摘要

Mining cities in China are vital energy bases that contribute greatly to the country's development. With the pressure of resources depletion and environmental destruction, the sustainable development of these cities is increasingly concerned by the government. This study chooses typical mining cities in Anhui Province of China as the case studies, then selects ten indicators from four dimensions of natural, economic, social, and environmental resources and improves the relative resources carrying capacity (RRCC) model. The dynamic changes of RRCC of these cities from 2007 to 2017 are analyzed. Then the predicted values in 2018-2023 were gotten based on GM (1, 1) model. The results indicate that: (1) Overall, the RRCC of these cities are overload and the overload population has slightly decreased. (2) The primary resources carrying the population arc natural resources, but their carrying capacity shows a declining trend. The carrying capacities of economic, social, and environmental resources are much less than that of natural resources, although they have increased a lot in these years. (3) The RRCC and its variation tendency of each mining city are different. (4) The predicted RRCC of these cities would become stronger and the population overload would decrease in the next six years.
机译:中国的采矿城市是对该国的发展贡献的重要能源基础。随着资源枯竭和环境破坏的压力,政府越来越关注这些城市的可持续发展。本研究选择了中国安徽省的典型采矿城市作为案例研究,然后从自然,经济,社会和环境资源的四个维度选择十个指标,提高了载物能力(RRCC)模型的相对资源。分析了2007年至2017年这些城市的RRCC的动态变化。然后基于GM(1,1)模型得到的预测值。结果表明:(1)总体而言,这些城市的RRCC是过载,超载人口略有下降。 (2)携带人口弧自然资源的主要资源,但其承载能力呈现下降趋势。虽然这些年来,但经济,社会和环境资源的承载能力远低于自然资源的能力。 (3)每个采矿城的RRCC及其变异趋势都不同。 (4)这些城市的预测RRCC将变得更强大,未来六年人口过载将减少。

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