• 中文核心期刊
  • 中国科技核心期刊
  • RCCSE中国核心学术期刊
  • Scopus, DOAJ, CA, AJ, JST收录期刊
高级检索
何刚, 赵疏航. 矿业城市相对资源承载力时空分异及阻力分析[J]. 矿业安全与环保, 2023, 50(6): 22-28. DOI: 10.19835/j.issn.1008-4495.2023.06.004
引用本文: 何刚, 赵疏航. 矿业城市相对资源承载力时空分异及阻力分析[J]. 矿业安全与环保, 2023, 50(6): 22-28. DOI: 10.19835/j.issn.1008-4495.2023.06.004
HE Gang, ZHAO Shuhang. Analysis of spatiotemporal differentiation and resistance of relative resource carrying capacity in mining city[J]. Mining Safety & Environmental Protection, 2023, 50(6): 22-28. DOI: 10.19835/j.issn.1008-4495.2023.06.004
Citation: HE Gang, ZHAO Shuhang. Analysis of spatiotemporal differentiation and resistance of relative resource carrying capacity in mining city[J]. Mining Safety & Environmental Protection, 2023, 50(6): 22-28. DOI: 10.19835/j.issn.1008-4495.2023.06.004

矿业城市相对资源承载力时空分异及阻力分析

Analysis of spatiotemporal differentiation and resistance of relative resource carrying capacity in mining city

  • 摘要: 为测度矿业城市资源的相对承载能力,将突变级数法运用到承载力评价中。基于“三生”融合理念(生产—生活—生态)构建相对资源承载力评价指标体系,借助熵权—突变级数法改进相对资源承载力评价模型。测度2012—2021年相对资源承载力,探究安徽省矿业城市时空分异特征,结合阻力模型诊断矿业城市的关键阻力因子。结果表明:安徽省矿业城市相对资源综合承载力总体趋势发展良好,等级水平由弱上升到强,整体呈现出高质量发展的态势;滁州的相对资源综合承载力水平最高,水平最低的是淮北。生产资源和生态资源维度阻力占据主导,第1阻力因子集中在土地资源或水资源。

     

    Abstract: In order to measure the relative carrying capacity of mining city resources, the catastrophe progression method was applied to the evaluation of carrying capacity. Based on the concept of integration of production, life and ecology, the evaluation index system of relative resource carrying capacity was constructed, and the evaluation model of relative resource carrying capacity was improved by means of entropy weight-catastrophe progression method. This study measured the relative resource carrying capacity from 2012 to 2021, explored the spatiotemporal differentiation characteristics of mining cities in Anhui Province, and diagnosed the key resistance factors of mining cities combined with the resistance model. The results show that the overall trend of relative comprehensive resource carrying capacity of mining cities in Anhui Province is developing well, with the level rising from low to high, and the overall trend showing high-quality development. Chuzhou has the highest level of comprehensive resource carrying capacity, while Huaibei has the lowest level. The dimensions of production resources and ecological resources are dominated by resistance, with the first resistance factor concentrated in land or water resources.

     

/

返回文章
返回