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首页> 外文期刊>Journal of Hydrology >Optimal design of river nutrient monitoring points based on an export coefficient model
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Optimal design of river nutrient monitoring points based on an export coefficient model

机译:基于出口系数模型的河流养分监测点优化设计

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摘要

Nutrient concentration is an important factor in identifying the quality of water sources and the likelihood of eutrophication. A nutrient monitoring network is an important information source that provides data on the nutrient pollution status of rivers. Export coefficient models have been widely used to study non-point source pollution. However, there has been little discussion about applying non-point source pollution and export coefficient modeling to design sampling points for monitoring. In this study, a new procedure providing a comprehensive solution was proposed to design nutrient monitoring points, from identifying pollution sources to designing sampling points and frequencies. Application of this procedure to design nutrient monitoring points upstream from the Feitsui reservoirs, Taipei, Taiwan, indicated that agriculture occupied only 7.24% of the area, but it released 45,795. kg/yr, or 41%, of the total nutrient load from non-point sources. Additionally, the optimization conditions defined four sampling points as well as the frequency of sampling at those points in the study area.
机译:营养素浓度是确定水源质量和富营养化可能性的重要因素。养分监测网络是重要的信息来源,可提供有关河流养分污染状况的数据。出口系数模型已被广泛用于研究面源污染。然而,关于将非点源污染和出口系数模型应用于设计监测采样点的讨论很少。在这项研究中,提出了一种提供全面解决方案的新程序来设计营养物监测点,从识别污染源到设计采样点和频率。将该程序应用于台湾台北市翡翠水库上游设计的养分监测点,表明农业仅占该地区的7.24%,但释放了45,795个。千克/年,或来自非重点来源的总养分负荷的41%。此外,优化条件还定义了四个采样点以及研究区域中这些点的采样频率。

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