王方钰,娄琦,崔晓莹,李正炎

• 1:中国海洋大学环境科学与工程学院
• 2:青岛大学环境科学与工程学院
• 3:中国海洋大学海洋环境与生态教育部重点实验室

摘要(Abstract)：

针对河流污染物通量监测中单个数据源无法获取完整通量或通量结果准确度不高的现实情况，本文提出一种基于多源数据的河流污染物入海通量估算方法，并利用示范河流小清河2018—2020年的氮磷污染物浓度及径流量监测数据进行实证分析与研究。基于小清河入海断面的监测数据，利用Monte Carlo抽样模拟和LOADEST模型分别估算自动监测和人工监测水质数据条件下小清河入海的总氮(TN)、总磷(TP)污染物月通量及上下限值，选取其中可利用月通量值进行比对和整合后，得到基于多源数据的小清河氮磷污染物入海年通量及波动范围。结果表明：多源数据的应用有效弥补了单一数据源估算污染物通量的不足，实现污染物入海年通量估算的同时提升了估算结果的准确度，小清河氮磷污染物入海年通量估算误差整体在25%以内；研究期间TN入海通量总体呈现先上升后下降的趋势，TP总体呈现下降趋势。该研究结果可为准确获取河流污染物入海通量值，实施流域氮磷污染物总量控制提供科学依据。

关键词(KeyWords)： 多源数据;水质监测;小清河;入海通量;误差分析

Abstract:

Keywords:

基金项目(Foundation): 国家重点研究发展计划项目(2018YFC1407601)资助~~

作者(Author): 王方钰,娄琦,崔晓莹,李正炎

DOI: 10.16441/j.cnki.hdxb.20240022

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