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| 基于地理探测器的粤港澳大湾区水质空间异质性影响因素分析 |
| Influencing Factors of Spatial Heterogeneity of Water Quality in the Guangdong Hong Kong Macao Greater Bay Area Based on Geographic Detector |
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| DOI： |
| 中文关键词: 综合污染指数法 地理探测器 影响因子 粤港澳大湾区 水质 |
| 英文关键词: Comprehensive pollution index method Geographical detector Influencing factors Guangdong Hong Kong Macao Greater Bay Area Water quality |
| 基金项目: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） |
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| 中文摘要: |
| 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868%、73%、59%；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。 |
| 英文摘要: |
| 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 868%，73% and 59%， 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. |
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