Based on DPSIR Model Environmental Planning and Risk Evaluation in the Early Stage of State-Level New Areas Development: In China

2018 4th International Conference on Environmental Science and Material Application

生态环境科学;材料科学

Chen, Yanyu^1 ; Chai, Huaqi^1 ; Ke, Lili^2 ; Huang, Yimiao^3 ; Xiao, Chenglin^1

School of Management, Northwestern Polytechnical University, Xi'an, Shaanxi

710072, China^1

HEC Montreal, H3T 2A7, Canada^2

School of Public Administration, Changchun University of Technology, Xi'an, Shaanxi

130012, China^3

关键词: Area development;    Conceptual model;    Environmental evaluation;    Environmental planning;    Product structure;    Random forest algorithm;    Reliability and validity;    Strategic objectives;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/252/4/042053/pdf
DOI  :  10.1088/1755-1315/252/4/042053

来源: IOP

【 摘 要 】

The development of state-level new areas is a requirement for China's in-depth reform and sustainable development. The strategic objectives of sustainable development put forward higher requirements for the accuracy and scientificity of environmental planning in state-level new areas. Therefore, identifying potential risks through pre-environmental evaluation is the basis for achieving sustainable green development in state-level new areas. According to the characteristics of the the early stage of development period of the state-level new Area, this paper applies the DPSIR conceptual model to summarize and extract, constructs the state-level new Area risk evaluation index system, and uses the adaptability and reliability and validity to test the reliability of the index system, and introduces the random forest algorithm. The general process and feasibility of state-level new Area development risk evaluation based on random forest algorithm. This paper identifies 23 risk indicators such as "growth of GDP", "unbalanced proportion of three-product structure" and "greening coverage", and judges the risk level and risk evaluation value of the development of 11 state-level-level new Areas. The relevant conclusions provide strong support for the environmental planning and evaluation of the state-level new Area, and also promote the improvement of the environmental evaluation system with sustainable development as the goal.