摘要
采用综合污染指数水质评价法和地理探测器定量探测2019年粤港澳大湾区68个监测断面的水质影响因子,结果表明:综合污染指数为合格等级、基本合格等级、污染等级的断面分别占86.8%、7.3%、5.9%;因子探测表明,GDP、人口密度为水质空间异质性的主要影响因子;交互探测结果表明,水质空间异质性受多种驱动因素共同影响,具有复杂性;生态探测结果表明,GDP对水质空间异质性影响更为显著;风险探测结果表明,人口密度、GDP、城镇化率与水质综合污染指数呈现一定的正相关关系。
The water quality influencing factors at 68 monitoring sections in the Guangdong-Hong Kong-Macao Greater Bay Area in 2019 were quantitatively detected by comprehensive water pollution index evaluation method and geographic detector.The results showed that the sections with a comprehensive pollution index of qualified,basically qualified and polluted accounted for 86.8%,7.3% and 5.9%,respectively.Factor detection indicated that GDP and population density were the main influencing factors on the spatial heterogeneity of water quality.The results of interactive detection indicated that the spatial heterogeneity of water quality was complex and jointly influenced by multiple driving factors.The ecological detection results showed that GDP had a more significant impact on the spatial heterogeneity of water quality.The risk detection results indicated that there was a certain positive correlation between population density,GDP,urbanization rate and comprehensive water pollution index.
作者
陈静
李燕
罗育池
罗凡
陈宇华
吕业佳
CHEN Jing;LI Yan;LUO Yuchi;LUO Fan;CHEN Yuhua;LYU Yejia(Guangdong Provincial Academy of Environmental Science,Guangzhou,Guangdong 510045,China)
出处
《环境监测管理与技术》
北大核心
2025年第4期61-66,78,共7页
The Administration and Technique of Environmental Monitoring
基金
国家自然科学基金资助项目(42277362)
广东省重点领域研发计划基金资助项目(2020B1111350001)
广东省环保专项基金资助项目(粤财资环[2020]47号)。
关键词
综合污染指数法
地理探测器
影响因子
粤港澳大湾区
水质
Comprehensive pollution index method
Geographical detector
Influencing factors
Guangdong-Hong Kong-Macao Greater Bay Area
Water quality
