Analysis of hotspots of urban eco-environmental problems:A case study of Shenzhen City  

作　　者：Yue Cai Rencai Dong Anxin Lian Zerui Wang Yiqiao Zhao Qinrui Luo Change Liu 

机构地区：[1]Yunnan Key Laboratory for Plateau Mountain Ecology and Restoration of Degrade Environments&School of Ecology and Environment Sciences,Yunnan University,Kunming 650091,China [2]State Key Laboratory for Ecological Security of Regions and Cities,Research Center for Eco-Environment Sciences,Chinese Academy of Sciences,Beijing 100085,China

出　　处：《Chinese Journal of Population,Resources and Environment》2025年第1期106-113,共8页中国人口·资源与环境(英文版)

基　　金：supported by the National Key Research and Development Program of China under the theme“Research on urban sustainable development evaluation data fusion management technology”[Grant No.2022YFC3802903];Open Fund of Key Laboratory of Urban Land Resources Monitoring and Simulation,Ministry of Natural Resources[Grant No.KF-2022-07-013]。

摘　　要：Urban eco-environmental management is a key focus in the modernization of national governance systems and governance capacity.Advanced information technology should be used to identify ecological problems in urban areas accurately while enhancing the environmental management capacity to promote the sustainable development of cities.This study centers on statistical data from PM_(2.5)air monitoring stations in Shenzhen,China,and supplemental data,such as population distribution data from China Unicom’s mobile phone signaling.Data cleaning and fusion are used to construct a spatial dataset of an eco-environmental problem:PM_(2.5)concentrations.The geostatistical analysis tool ArcGIS is used to identify the most suitable interpolation method for reflecting this eco-environmental problem based on multiple parameter adjustments and repeated testing.A hotspot distribution map of PM_(2.5)concentrations is generated,and correlation analysis is conducted on the population density and distribution patterns in these hotspot areas.This enables the quantitative analysis and exploration of the spatial characteristics and coupling relationships of PM_(2.5)concentrations.The results show a positive correlation between the PM_(2.5)concentration distribution and the points of interest,road network density,number of dead-end roads,and average building height in Shenzhen.No correlation is found between population and building densities and the PM_(2.5)concentration distribution,possibly due to the city’s effective environmental management and pollution control measures.These findings help advance the development of precise,scientific,legally compliant pollution control strategies and decision-making processes.Furthermore,they provide technical support for urban eco-environmental planning,management,and sustainable development.

关 键 词：Ecological issues Data mining Environmental management Mobile phone signaling data Sustainable development 

分 类 号：F42[经济管理—产业经济]