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| 特大暴雨情景下地表水水质时空变化特征及源解析 |
| Spatiotemporal Variation Characteristics and Source Apportionment of Surface Water Quality under Extreme Rainstorm Events |
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| DOI： |
| 中文关键词: 特大暴雨 水质 时空变化特征 源解析 绝对主成分-多元线性回归模型 地表水 |
| 英文关键词: Extreme rainstorm Water quality Spatiotemporal variation characteristics Source apportionment Absolute principal component scores multiple linear regression model Surface water |
| 基金项目:国家重点研发计划基金资助项目（No2021YFC1809000） |
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| 中文摘要: |
| 基于2023年汛期北京市降水及水质自动监测数据，利用绝对主成分〖CD*2〗多元线性回归（APCS-MLR）模型等方法，分析北京市在2023年7月29日—8月2日特大暴雨背景下具有区域代表性的河流点位水质时空变化特征和污染来源及其主要贡献率。结果表明，降水量与汛期污染强度报警次数存在显著正相关性，中雨条件下汛期污染强度空间差异明显大于其他强度降水。上游山区断面水质汛期虽然基本上不受降水影响，但降水导致的泄洪对水质影响显著，分散式农村生活〖CD*2〗农业面源是主要污染来源；中心城区断面水质受降水影响较大，且不同级别降水均会使水质产生波动，城镇生活源和城市径流贡献最大，贡献率分别为55151%和21526%；城市下游流经农村地区河流汛期降水后水质波动显著，农业面源〖CD*2〗气象和城镇生活的贡献较其他污染源更大，贡献率分别为34865%和27211%。 |
| 英文摘要: |
| Based on the automatic monitoring data of precipitation and water quality in Beijing during the flood season in 2023，this paper analyzed the spatiotemporal variation characteristics of water quality，pollution sources and their main contribution rates in regional representative sites under the extreme rainstorm event from July 29 to August 2， 2023 in Beijing by using absolute principal component scores multiple linear regression model. The results showed that there was a significant positive correlation between rainfall and the number of alarms for pollution intensity during the flood season. Under moderate rainfall conditions，the spatial difference in pollution intensity during the flood season was significantly greater than that of rainfall of other intensities. Although the water quality at the upstream mountainous sections were basically not affected by rainfall during the flood season，the flood discharge caused by rainfall had a significant impact on the water quality. Decentralized rural life agricultural non point sources were the main sources of pollution. The water quality at the central urban area sections were greatly affected by rainfall，and rainfall of different levels all caused fluctuations in water quality. Urban domestic sources and urban runoff contributed the most，〖GK!87mm〗with contribution rates of 55151% and 21526% respectively. Water quality in rivers flowing from urban downstream areas through rural regions fluctuated significantly after rainfall during the flood season. The contribution rates of agricultural non point sources meteorology and urban life were greater than those of other pollution sources，reaching 34865% and 27211%，respectively. |
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