Abstract
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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Thanks to the editors and anonymous reviewers for their valuable suggestions.
Funding
This study was funded by the Philosophy and Social Sciences Research Program of Heilongjiang Province of China (Grant No. 19JLC116), the Natural Science Foundation of Heilongjiang Province of China (Grant No. YQ2019D006, QC2018044), University Nursing Program for Young Scholars with Creative Talents in Heilongjiang Province (UNPYSCT-2020032), and the Fundamental Research Funds for the Provincial Universities of Heilongjiang Province of China (Grant No. 2018-KYYWF-1178, 2018-KYYWF-1179).
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Xin Ye carried out the conceptualization and data analysis, and performed the writing, review, and editing of the manuscript; Lun Dong performed the visualization and wrote the original draft; Lina Lv carried out data curation; and Yuhang Shang carried out validation. All authors have read and approved the final version of the manuscript.
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Ye, ., Dong, L., Lv, L. et al. Spatiotemporal evolution law and driving force of mining city patterns. Environ Sci Pollut Res 29, 10291–10307 (2022). https://doi.org/10.1007/s11356-021-16488-5
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DOI: https://doi.org/10.1007/s11356-021-16488-5