摘要
基于2015—2018年中原城市群29座城市的空气质量数据,对中原城市群空气质量进行空间关联网络建模,利用网络指数和社团检测方法探索城市群空气质量个体作用和整体发展态势。结果显示:1)中原城市群空气质量影响中心分为以晋城为核心的北部带状中心集群和以郑州为核心的中部块状中心集群,其中北部集群代表了自然环境条件和不合理的重工业产业结构对北部地区产生的重大影响力;中部集群凸显了经济发展水平和城市化水平对城市空气质量的显著影响。此外,具有中介作用的开封、许昌、漯河、安阳和运城,分布在城市群各圈层的边缘,对空气质量传播影响较大。2)中原城市群空气质量空间网络整体性指数达到0.5123,关联比较紧密。城市群内的空气质量环境较差的西北板块为主影响板块,对东南板块在现阶段的影响较强。3)中原城市群空气质量空间关联具有明显的“梯度”特征,而非孤立存在,社团检测发现其具有比较稳定的二元发展态势。本文通过复杂网络理论分析城市群空气质量,旨在为防治城市群整体空气质量污染提供科学依据。
Based on the air quality data of 29 cities in the central plains urban agglomeration from 2015 to 2018,spatial correlation network modeling is performed on the air quality of the central plains urban agglomeration,and the network index and community detection methods are used to explore the individual role and overall development trend of the air quality in the urban agglomeration.The results show that:(1)The air quality impact centers of the Central Plains urban agglomeration are divided into the northern strip center cluster with Jincheng as the core and the central block center cluster with Zhengzhou as the core.Among them,the northern cluster represents the significant influence of natural environmental conditions and unreasonable heavy industry structure on the northern region;the central cluster highlights the significant impact of the level of economic development and urbanization on urban air quality.In addition,Kaifeng,Xuchang,Luohe,Anyang,and Yuncheng,which have an intermediary role,are distributed at the edge of each circle in the urban agglomeration,which has a greater impact on air quality transmission.(2)The air quality spatial network integrity index of the Central Plains urban agglomeration reaches 0.5123,which is closely related.The northwest plate with poor air quality environment in the urban agglomeration mainly affects the plate,and has a strong influence on the southeast plate at this stage.(3)The spatial correlation of air quality in the Central Plains urban agglomeration has obvious"gradient"characteristics,rather than exist in isolation.The community testing found that it has a relatively stable binary development trend.This paper analyzes the air quality of urban agglomerations through complex network theory,and aims to provide a scientific basis for preventing and controlling the overall air quality pollution of urban agglomerations.
作者
何韩吉
邓光明
葛梦兰
HE Hanji;DENG Guangming;GE Menglan(College of Science,Guilin University of Technology,Guilin Guangxi 541004,China;Institute of Applied Statistics,Guilin University of Technology,Guilin Guangxi 541004,China)
出处
《广西师范大学学报（自然科学版）》
CAS
北大核心
2021年第3期151-162,共12页
Journal of Guangxi Normal University:Natural Science Edition
基金
国家自然科学基金(71963008)
教育部人文社会科学研究(20YJA870007)。
关键词
空气质量
空间关联
复杂网络理论
中心性指数
中原城市群
air quality
spatial correlation
complex network theory
centrality index
central plains urban agglomeration
