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甬江流域水质时空及污染物通量变化趋势分析 被引量:1

Analysis of Temporal and Spatial Variation Trend of Water Quality and Pollutant Flux in Yongjiang River Basin
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摘要 甬江作为宁波市“母亲河”,随着城市快速发展,人类活动范围扩大,甬江流域水质状况不断受外界干扰,水质现状及污染物通量变化备受关注。通过水质、水量、污染物通量数据,研究甬江流域近六年的水质污染浓度、时空分布的变化趋势,及近四年的水量、污染物通量的变化趋势及原因。结果表明:甬江流域2016~2021年整体总氮污染严重,但除西南区域均有改善趋势;总磷、化学需氧量、高锰酸盐浓度月均值与水量密切相关,氨氮浓度月均值受面源、点源综合污染影响,而三江口断面为甬江流域水质污染情况最为严重区域。结合水质指标和通量对甬江流域进行针对性管理通过依据。 As the“Mother River”of Ningbo,with the rapid development of the city and the expansion of human activities,the water quality of Yongjiang Basin is constantly disturbed by the outside world,and the change of water quality and pollutant flux has attracted much attention.Based on the data of water quality,water quantity and pollutant flux,the variation trend of water pollution concentration and spatial and temporal distribution in Yongjiang Basin in recent six years,and the variation trend and causes of water quantity and pollutant flux in recent four years were studied.The results showed that:From 2016 to 2021,the total nitrogen pollution in Yongjiang Basin was serious,but it showed an improvement trend except the southwest region;The monthly mean value of total phosphorus,chemical oxygen demand and permanganate concentration is closely related to the water amount,while the monthly mean value of ammonia nitrogen concentration is affected by non-point source and point source pollution.The Sanjiangkou section is the most polluted area in Yongjiang Basin.According to the water quality index and flux,the management of Yongjiang Basin is adopted.
作者 樊荣 雷坤 吕旭波 李晓光 郎琪 程全国 Fan Rong;Lei Kun;Lv Xubo;Li Xiaoguang;Lang Qi;Cheng Quanguo(Key Laboratory of Ecological Restoration of Regional Polluted Environment,Shenyang University,Shenyang 110044;Institute of Water Ecological Environment,Chinese Academy of Environmental Sciences,Beijing 100012,China)
出处 《广东化工》 CAS 2023年第12期179-185,共7页 Guangdong Chemical Industry
基金 陆海气协同防治技术体系集成与综合示范国家重点研发项目(2021YFC3101705)。
关键词 甬江流域 水质变化 时空变化 污染物通量 变化趋势 Yongjiang basin water quality change spatio-temporal variation pollutant flux trend of change
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