[1]佟 帅,秦嘉徽,刘天龙,等.矿业城市资源-环境-发展承载力耦合协调研究——以鲁南地区为例[J].南京师大学报(自然科学版),2025,48(06):129-140.[doi:10.3969/j.issn.1001-4616.2025.06.014]
 Tong Shuai,Qin Jiahui,Liu Tianlong,et al.Research on the Coupling Coordination of Resource,Environment and Development Carrying Capacity of Mining City: a Case Study of Southern Shandong Province[J].Journal of Nanjing Normal University(Natural Science Edition),2025,48(06):129-140.[doi:10.3969/j.issn.1001-4616.2025.06.014]
点击复制

矿业城市资源-环境-发展承载力耦合协调研究——以鲁南地区为例()

《南京师大学报(自然科学版)》[ISSN:1001-4616/CN:32-1239/N]

卷:
48
期数:
2025年06期
页码:
129-140
栏目:
环境科学与工程
出版日期:
2025-12-20

文章信息/Info

Title:
Research on the Coupling Coordination of Resource,Environment and Development Carrying Capacity of Mining City: a Case Study of Southern Shandong Province
文章编号:
1001-4616(2025)06-0129-12
作者:
佟 帅1秦嘉徽2刘天龙3季 翔1
(1.中国矿业大学力学与土木工程学院,江苏 徐州 221116)
(2.中国矿业大学环境与测绘学院,江苏 徐州 221116)
(3.中国矿业大学公共管理学院,江苏 徐州 221116)
Author(s):
Tong Shuai1Qin Jiahui2Liu Tianlong3Ji Xiang1
(1.School of Mechanics and Civil Engineering,China University of Mining and Technology,Xuzhou 221116,China)
(2.School of Environment and Geomatics,China University of Mining and Technology,Xuzhou 221116,China)
(3.School of Public Administration,China University of Mining and Technology,Xuzhou 221116,China)
关键词:
TOPSIS矿业城市承载力耦合协调
Keywords:
TOPSISmining citiescarrying capacitycoupling coordination
分类号:
X821; TU993.2; TU985.12
DOI:
10.3969/j.issn.1001-4616.2025.06.014
文献标志码:
A
摘要:
矿业城市的综合承载力变化是一个复杂的多因素协同促进的结果,厘清矿业城市承载力内部的耦合协调特征对于促进城市转型发展具有重要意义. 以往研究多从整体视角度量承载力变化,但对其内部组成的相互作用机理探究较少. 因此本文构建了一个针对矿业城市资源-环境-发展承载力的耦合评价指标体系,试图通过TOPSIS模型分析2012到2020年鲁南矿业城市子系统承载力的耦合协调特征. 结果表明:(1)2012—2020年鲁南矿业城市综合承载力水平都呈稳步上升趋势,但大气排放状况与资源存量的数值变化会对综合承载力产生波动影响,成熟型矿业城市济宁的承载力高,提升速度更快;(2)三个子系统中,资源承载力与环境承载力相关性较高;(3)鲁南矿业城市的资源-环境-发展承载力都已从失调水平提升到协调水平;(4)耦合协调度提升过程中充满波折与挑战,特别是在发展初期资源枯竭和环境下降的双重影响下. 研究为该地区矿业城市的产业转型升级和可持续发展提供借鉴,也可为类似资源型城市在资源开发和环境保护中寻找平衡点提供科学依据.
Abstract:
The change of the comprehensive carrying capacity of mining cities is the result of complex multi-factor coordination. It is of great significance to clarify the coupling and coordination characteristics of the carrying capacity of mining cities to promote the urban transformation and development. Most of the previous studies measured the variation of carrying capacity from the perspective of the whole,but the interaction mechanism of its internal components was rarely explored. This paper constructed a coupling evaluation index system for resource-environment-development carrying capacity of mining cities,and attempted to analyze the coupling coordination characteristics of carrying capacity of various parts of mining city in southern Shandong province from 2012 to 2020 through TOPSIS model. The results showed that:(1)From 2012 to 2020,the comprehensive carrying capacity of mining cities in southern Shandong province showed a steady upward trend,but the numerical changes of atmospheric emissions and resource stocks would have a fluctuating effect on the comprehensive carrying capacity. Jining,a mature mining city,had a high carrying capacity and a faster rate of improvement;(2)Among the three subsystems, the correlation between resource carrying capacity and environmental carrying capacity was relatively high.(3)The resource-environment-development carrying capacity of the mining cities had been improved from the imbalance level to the coordination level;(4)The process of improving the coupling coordination degree was full of twists and turns and challenges,especially under the dual influence of resource depletion and environmental decline in the early stage of development. The research provided reference for the industrial transformation and upgrading and sustainable development of mining cities in this region,and also provided a scientific basis for similar resource-based cities to find a balance between resource development and environmental protection.

参考文献/References:

[1]李格锐,刘粤湘. 我国矿业城市的分布特征与发展态势分析[J]. 中国矿业,2014,23(6):63-70.
[2]李晟晖. 矿业城市产业转型研究:以德国鲁尔区为例[J]. 中国人口·资源与环境,2003(4):97-100.
[3]樊杰. 我国煤矿城市产业结构转换问题研究[J]. 地理学报,1993(3):218-226.
[4]张发旺,赵红梅,宋亚新,等. 神府东胜矿区采煤塌陷对水环境影响效应研究[J]. 地球学报,2007(6):521-527.
[5]杨坤. 煤矿开采沉陷的环境效应和生态修复技术[D]. 南京:南京理工大学,2011.
[6]孙平军. 矿业城市经济发展脆弱性及发展策略研究[D]. 长春:东北师范大学,2010.
[7]郑欣,程艳妹,任彩凤,等. 基于熵权TOPSIS模型的鄂尔多斯市资源环境承载力评价[J]. 生态科学,2020,39(2):95-103.
[8]PARK R E,BURGESS E W. Introduction to the science of sociology[M]. Chicago:University of Chicago Press,1921.
[9]ALLAN W. Studies in African land usage in Norther Rhodesia[M]. Cape Town:Oxford University Press,1949.
[10]顾康康,刘景双,王洋. 辽中地区矿业城市生态承载力分析与预测[J]. 地理科学进展,2009,28(6):870-876.
[11]丁赞,沈铭. 基于层次分析法和变异系数法的黄冈市地质环境承载力研究[J]. 资源环境与工程,2019,33(S1):70-74,91.
[12]MEADOWS D H,MEADOWS D I,RANDERS J,et al. The limits to growth:a report to the club of rome[M]. New York:Universe Books,1972.
[13]张君,魏素洁,胡剑,等. 基于模糊二级评判模型的水资源承载力分析[J]. 人民黄河,2012,34(9):63-65.
[14]曾东东. 基于水气环境综合指数的贵州省环境承载力动态评价研究[D]. 重庆:重庆师范大学,2018.
[15]张韦萍,石培基,赵武生,等. 西北区域城镇化与资源环境承载力协调发展的时空特征:以兰西城市群为例[J]. 生态学杂志,2020,39(7):2337-2347.
[16]张静,宁凌,曹阳春. 基于熵权TOPSIS模型的海洋资源环境承载力评价研究:以广东省为例[J]. 生态经济,2020,36(3):162-167.
[17]ZHOU J,CHANG S,MA W,et al. An unbalance-based evaluation framework on urban resources and environment carrying capacity[J]. Sustainable cities and society,2021,72:103019.
[18]LEI K,ZHOU S. Per capita resource consumption and resource carrying capacity:a comparison of the sustainability of 17 mainstream countries[J]. Energy policy,2012,42:603-612.
[19]王兆峰,赵松松. 长江中游城市群旅游资源环境承载力与国土空间功能空间一致性研究[J]. 长江流域资源与环境,2021,30(5):1027-1039.
[20]NAKAJIMA E S,ORTEGA E. Carrying capacity using emergy and a new calculation of the ecological footprint[J]. Ecological indicators,2016,60:1200-1207.
[21]秦海旭,段学军,赵海霞,等. 南京市资源环境承载力监测预警研究[J]. 长江流域资源与环境,2020,29(12):2727-2736.
[22]封志明,游珍,杨艳昭,等. 基于三维四面体模型的西藏资源环境承载力综合评价[J]. 地理学报,2021,76(3):645-662.
[23]Butler R W. The concept of carying capacity for tourism destinations:dead or merely buried?[J]. Progress in tourism and hospitality research,1996,2(3/4):283-293.
[24]ARIF A A,MACHDAR I,AZMERI A,et al.Vulnerability factors in small islands and environmental carrying capacity by the AHP method. case study:Weh Island,Aceh,Indonesia[J]. IOP conference series:earth and environmental science,2021,1:630.
[25]丁国峰,吕振福,曹进成,等. 我国大型煤炭基地开发利用现状分析[J]. 能源与环保,2020,42(11):107-110,120.
[26]GRAYMORE M L M,SIPE N G,RICKSON R E. Sustaining human carrying capacity:a tool for regional sustainability assessment[J]. Ecological economics,2010,69(3):459-468.
[27]封志明,杨艳昭,闫慧敏,等. 百年来的资源环境承载力研究:从理论到实践[J]. 资源科学,2017,39(3):379-395.
[28]焦露,杨睿,郭琳. 国家级新区资源环境承载力评估研究:以贵安新区为例[J]. 四川理工学院学报(社会科学版),2017,32(5):87-100.
[29]王西琴,贾宝珍,姜智强,等. 基于产业结构的区域水环境承载力优化方法与例证[J]. 中国环境科学,2023,43(5):2652-2661.
[30]CHEN Y,ZHANG D N. Evaluation of resources and environmental carrying capacity and its spatial-temporal dynamic evolution:a case study in Shandong Province,China[J]. Sustainable cities and society,2022, 82:103916.
[31]ZHANG G Y,LUO S,JING Z W,et al. Evaluation and forewarning management of regional resources and environment carrying capacity:a case study of Hefei City,Anhui Province,China. [J]. Sustainability,2020,12:1637.
[32]Liao S J,Wu Y,Wong S W,et al. Provincial perspective analysis on the coordination between urbanization growth and resource environment carrying capacity(RECC)in China. [J]. Science of the total environment,2020,730:138964.
[33]HSU W L,SHEN X,XU H,et al. Integrated evaluations of resource and environment carrying capacity of the huaihe river ecological and economic belt in China[J]. Land,2021,10(11):1168.
[34]鲍珂宇. 成熟型煤炭城市环境承载力综合评价及仿真预测研究[D]. 淮南:安徽理工大学,2021.
[35]苏丹,赵珂. 钢厂与城市共生关系[J]. 中国冶金,2017,27(10):1-6.
[36]安琪儿,王朗. 矿业城市资源环境承载力的系统动力学模拟[J]. 资源与产业,2016,18(6):1-7.
[37]陈丹,王然. 矿业城市资源环境承载力评价研究:以黄石市为例[J]. 中国国土资源经济,2015,28(9):57-61.
[38]李昭楠,胡垚坤,刘七军,等. 内陆干旱区资源环境承载力预警评价与模拟分析:来自宁夏的实证分析[J]. 生态经济,2021,37(11):209-215,229.
[39]孟菲,赵海霞,牛铭杰,等. 南京市环境承载力评价及其成因分析[J]. 中国环境科学,2019,39(9):4007-4016.
[40]XIAO Y,TANG X,WANG J,et al. Assessment of coordinated development between tourism development and resource environment carrying capacity:a case study of Yangtze River economic belt in China[J]. Ecological indicators,2022,141:109125.
[41]韩家彬,石宁,韩梦莹. 环境承载力对我国重化工行业跨区转移的影响研究[J]. 中国环境科学,2019,39(10):4464-4472.
[42]WANG Z F,CHEN Q Q. Comprehensive partitions and optimisation strategies based on tourism urbanisation and resources environment carrying capacity in the Yellow River Basin,China[J]. Environmental science and pollution research,2022,29(16):23180-23193.
[43]TAN S,LIU Q,HAN S. Spatial-temporal evolution of coupling relationship between land development intensity and resources environment carrying capacity in China[J]. Journal of environmental management,2022,301:113778.
[44]金悦,陆兆华,檀菲菲,等. 典型资源型城市生态承载力评价:以唐山市为例[J]. 生态学报,2015,35(14):4852-4859.
[45]马艳梅,吴玉鸣,吴柏钧. 长三角地区城镇化可持续发展综合评价:基于熵值法和象限图法[J]. 经济地理,2015,35(6):47-53.
[46]孙振清,陈文倩,兰梓睿. 基于熵权TOPSIS法的区域绿色创新能力研究[J]. 企业经济,2019,38(2):20-26.
[47]王淑佳,孔伟,任亮,等. 国内耦合协调度模型的误区及修正[J]. 自然资源学报,2021,36(3):793-810.
[48]郭玲霞,刘宇峰,封建民,等. 中国省域新型城镇化与城乡融合发展的时空格局及其影响因素[J]. 地球科学与环境学报,2023,45(4):781-795.

相似文献/References:

[1]乔伟峰,顾钧仪,王亚华.基于TOPSIS法的土地利用与区域发展协调性评价 ——以安徽省宿州市为例[J].南京师大学报(自然科学版),2013,36(01):104.
 Qiao Weifeng,Gu Junyi,Wang Yahua.Evaluating the Coordination Between Land Use and Regional Development Based on TOPSIS Method ——A Case Study of Suzhou City,Anhui Province[J].Journal of Nanjing Normal University(Natural Science Edition),2013,36(06):104.

备注/Memo

备注/Memo:
收稿日期:2021-11-09.
基金项目:国家重点研发计划项目(2018YFC0704900)、2024年江苏省研究生科研创新计划项目(KYCX24_2802).
通讯作者:季翔,博士,教授,博士生导师,研究方向:城乡生态环境与规划改造. E-mail:jixiang0615@Yeah.net
更新日期/Last Update: 2025-12-20