袁河流域河湖水体氮磷特征及污染源识别  

Characteristics of nitrogen and phosphorus in river and lake along Yuanhe River Basin and identification of their pollution sources

作　　者：罗玮 郑芳文[2] 陈家奇 曾世博 唐林森 唐春[2] 刘萍 袁渤 LUO Wei;ZHENG Fangwen;CHEN Jiaqi;ZENG Shibo;TANG Linsen;TANG Chun;LIU Ping;YUAN Bo(Northwest Engineering Co.Ltd,Power China,Xi’an 710065,China;School of Hydraulic Engineering,Nanchang Institute of Technology,Nanchang 330099,China;China Railway Water Conservancy&Hydropower Planning and Design Group Co.Ltd,Nanchang 330029,China)

机构地区：[1]中国电建集团西北勘测设计研究院有限公司,陕西西安710065 [2]南昌工程学院水利工程学院,江西南昌330099 [3]中铁水利水电规划设计集团有限公司,江西南昌330029

出　　处：《南昌工程学院学报》2024年第6期18-26,共9页Journal of Nanchang Institute of Technology

基　　金：中国中铁股份有限公司科技研究开发计划项目(2022-重大-18);江西省水利厅科技项目(202123YBKT10);江西省级重点创新训练项目(202411319001)。

摘　　要：收集2021—2023年袁河流域河水和湖水的水质监测数据,研究袁河流域河湖水体氮磷分布特征及污染源情况。研究发现,多数河湖水体样品总磷(TP)浓度超过Ⅰ类水国家地表水标准,所有河湖水体样品总氮(TN)浓度大于0.2 mg/L,河湖水质存在富营养化风险。河水与湖水NH_(4)^(+)-N平均浓度分别占总氮的13.4%和9.1%。主成分分析表明:河水氮磷浓度受气候条件、水沙相互作用、生活污水和有机污染物等多种因素的影响;湖水氮磷浓度的主要影响因素包括气象因子、农业种植与畜禽养殖、有机污染或反硝化作用以及降水冲刷形成的有机污染物输入等。绝对主成分评分—多元线性回归(APCS-MLR)模型结果进一步揭示:水沙相互作用对河水总磷的影响显著,其贡献率达39.3%,而农业种植与畜禽养殖对湖水总磷的贡献率高达71.9%;气象因子对河湖水体总氮(TN)的影响非常显著,其贡献率分别为52.7%和75.4%。此外,未知来源对河湖水体的最大贡献率分别为53.3%和18.7%,需要进一步深入调查研究。The water quality monitoring data of river and lake water along the Yuanhe River Basin from 2021 to 2023 were collected,and the distribution characteristics and pollution sources of nitrogen and phosphorus in river and lake water were studied.The results show that the total phosphorus(TP)concentration of most river and lake water samples exceeded the national surface water standard for Class I water,and the total nitrogen(TN)concentration of all river and lake water samples exceeds 0.2 mg/L.There is a risk of eutrophication in river and lake water quality.The average proportion of NH NH_(4)^(+)-N concentration in river water and lake water to total nitrogen is 13.4%and 9.1%,respectively.Principal component analysis shows that the nitrogen and phosphorus concentrations in Yuanhe River water are mainly influenced by climatic conditions,water sand interactions,domestic sewage,and organic pollutants.The main controlling factors for nitrogen and phosphorus concentration in lake water include meteorological factors,agricultural planting and livestock breeding,organic pollution or denitrification,and input of organic pollutants formed by precipitation erosion.The results of the Absolute Principal Component Score Multiple Linear Regression(APCS-MLR)model further reveal that:The effect of water and sand on total phosphorus in river water is significant,with a contribution rate of 39.3%,while agricultural planting and livestock breeding contribute up to 71.9%to total phosphorus in lake water;The impact of meteorological factors on total nitrogen(TN)in river and lake water is significant,with contribution rates of 52.7%and 75.4%,respectively;The maximum contribution rates of unknown sources to river and lake water are 53.3%and 18.7%,respectively,which require further investigation and research.

关 键 词：袁河流域 氮磷分布 多元分析方法 来源 APCS-MLR模型 

分 类 号：X131[环境科学与工程—环境科学]