特大城市群地区城镇化与生态环境耦合机理及胁迫效应的理论解析（英文）

编号 zgly0001584247

文献类型 期刊论文

文献题名 特大城市群地区城镇化与生态环境耦合机理及胁迫效应的理论解析（英文）

作者 方创琳  周成虎  顾朝林  陈利顶  李双成 

作者单位 InstituteofGeographicSciencesandNaturalResourcesResearch  CAS  SchoolofArchitecture  TsinghuaUniversity  ResearchCenterforEco-EnvironmentalSciences  CAS  CollegeofUrbanandEnvironmentalSciences  PekingUniversity 

母体文献 Journal of Geographical Sciences 

年卷期 2017年12期

年份 2017 

分类号 TU984.115 

关键词 mega-urbanagglomeration  urbanization  eco-environment  interactivecoupledeffects  couplingtheory  processoftheoreticalanalysis 

文摘内容 Mega-urban agglomerations are strategic core areas for national economic development and the main regions of new urbanization. They also have important roles in shifting the global economic center of gravity to China. However, the development of mega-urban agglomerations has triggered the interactive coercion between resources and the eco-environment. The interactive coupled effects between urbanization and the eco-environment in mega-urban agglomerations represent frontier and high-priority research topics in the field of Earth system science over the next decade. In this paper, we carried out systematic theoretical analysis of the interactive coupling mechanisms and coercing effects between urbanization and the eco-environment in mega-urban agglomerations. In detail, we analyzed the nonlinear-coupled relationships and the coupling characteristics between natural and human elements in mega-urban agglomerations. We also investigated the interactive coercion intensities between internal and external elements, and the mechanisms and patterns of local couplings and telecouplings in mega-urban agglomeration systems, which are affected by key internal and external control elements. In addition, we proposed the interactive coupling theory on urbanization and the eco-environment in mega-urban agglomerations. Furthermore, we established a spatiotemporal dynamic coupling model with multi-element, multi-scale, multi-scenario, multi-module and multi-agent integrations, which can be used to develop an intelligent decision support system for sustainable development of mega-urban agglomerations. In general, our research may provide theoretical guidance and method support to solve problems related to mega-urban agglomerations and maintain their sustainable development.