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基于灰色关联和系统聚类的大连市环境质量影响因素分析
Analysis of Influencing Factors of Environment Quality in Dalian Based on Grey Correlation and Systematic Clustering
投稿时间:2022-08-02  修订日期:2023-12-25
DOI:10.19316/j.issn.1002-6002.2024.02.17
中文关键词:  灰色关联度  系统聚类分析  环境质量
英文关键词:gray relevance  systematic cluster analysis  environment quality
基金项目:
作者单位
苏静 辽宁省大连生态环境监测中心, 辽宁 大连 116023 
王甡 辽宁省大连生态环境监测中心, 辽宁 大连 116023 
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中文摘要:
      采用灰色关联度和系统聚类分析方法,定量分析大连市社会、经济、自然、人口、能源资源和污染排放等有代表性的指标与生态环境质量的关联程度。结果表明,大连市社会经济发展与环境质量关联度为中等,经济指标与环境质量指标关联度较强,社会、人口、污染排放指标关联度中等,能源和自然指标关联度较弱。金普新区、甘井子区和长兴岛是潜在环境风险区域,需要重点关注环境质量变化趋势。普兰店区、瓦房店市和庄河市虽然属于低排放区域,但环境质量风险相对较大,应进一步加强环境风险管控。
英文摘要:
      The degree of correlation between representative indicators such as society,economy,nature,population,energy resource and pollution emissions in Dalian and the quality of environment is quantitatively analyzed by using gray relevance and systematic cluster analysis method. The results show that the correlation between socio-economic development and environmental quality in Dalian is medium, the correlation between economic indicators and environmental quality indicators is strong, the correlation between social,population and pollution emission indicators is medium,and the correlation between energy and natural indicators is weak. Jinpu New Area,Ganjingzi District and Changxing Island are potential environmental risk areas that need to focus on environmental quality trends. Although Pulandian District,Wafangdian City and Zhuanghe City belong to low-emission areas,the environmental quality risk is relatively large,and environmental risk management and control should be further strengthened.
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