基于PS-DR-DP理论模型的区域资源环境承载力综合评价（英文）

编号 zgly0001660575

文献类型 期刊论文

文献题名 基于PS-DR-DP理论模型的区域资源环境承载力综合评价（英文）

作者 王亮  刘慧 

作者单位 KeyLaboratoryofRegionalSustainableDevelopmentModeling  CAS  InstituteofGeographicSciencesandNaturalResourcesResearch  CollegeofResourceandEnvironment  UniversityofChineseAcademyofSciences  FacultyofGeographicalScience  Beijin 

母体文献 Journal of Geographical Sciences 

年卷期 2019年03期

年份 2019 

分类号 X24  F205 

关键词 resourcesandenvironmentalcarryingcapacity  pressure-support  destructiveness-resilienceanddegradation-promotionmodel  evaluation  Beijing 

文摘内容 The concepts of regional resources and environmental carrying capacity are important aspects of both academic inquiry and government policy. Although notable results have been achieved in terms of evaluating both these variables, most researchers have utilized a traditional analytical method that incorporates the pressure-state-response model. A new approach is proposed in this study for the comprehensive evaluation of regional resources and environmental carrying capacity; applying a pressure-support, destructiveness-resilience, and degradation-promotion(PS-DR-DP) hexagon interaction theoretical model, we divided carrying capacity into these three pairs of interactive forces which correspond with resource supporting ability, environmental capacity, and risk-disaster resisting ability, respectively. Negative carrying capacity load in this context was defined to include pressure, destructiveness, and degradation, while support, resilience, and promotion comprised positive attributes. The status of regional carrying capacity was then determined via the ratio between positive and negative contribution values, expressed in terms of changes in both hexagonal shape and area that result from interactive forces. In order to test our PS-DR-DP theory-based model, we carried out a further empirical study on Beijing over the period between 2010 and 2015. Analytical results also revealed that the city is now close to attaining a perfect state for both resources and environmental carrying capacity; the latter state in Beijing increased from 1.0143 to 1.1411 between 2010 and 2015, an improved carrying capacity despite the fact that population increased by two million. The average contribution value also reached 0.7025 in 2015, indicating that the city approached an optimal loading threshold at this time but still had space for additional carrying capacity. The findings of our analysis provide theoretical support to enable the city of Beijing to control population levels below 23 million by 2020.