Optimization of water quality monitoring network in a large river by combining measurements, a numerical model and matter-element analyses
Optimization of water quality monitoring network in a large river by combining measurements, a numerical model and matter-element analyses
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DOI：
10.1016/j.jenvman.2012.05.024
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发表时间：
2012-11-15
影响因子：
8.7
通讯作者：
Huang, Guoxian
中科院分区：
文献类型：
--
作者：
Chen, Qiuwen;Wu, Wenqiang;Huang, Guoxian
一个能反映水质时空变化的监测网络对水资源的可持续管理和污染控制至关重要。出于成本考虑，重要的是优化监测位置，以便使用所需的最少数量的站来获得最全面的监测。监测网络的最佳设计通常基于现有测量站提供的有限数据。本文的主要贡献是使用数值水质模型，校准与现有数据。该模型产生关于河流沿着任何横截面的水质信息，包括未监测的河段。该文件的另一个贡献是使用的物元分析，允许一个客观的划分河流的河段是均匀的水质评估从多个水质参数。最佳监测网络由一个测量站在每个这些同质河段。应用该方法对黑龙江中上游1890 km的水质监测网进行了优化。结果表明，监测网络大大改善了搬迁三个站，而不是通过增加额外的站。(C)2012爱思唯尔有限公司保留所有权利。
A monitoring network that resolves the spatial and temporal variations of the water quality is essential in the sustainable management of water resources and pollution control. Due to cost concerns, it is important to optimize the monitoring locations so to use the least number of stations required to obtain the most comprehensive monitoring. The optimal design of monitoring networks is commonly based on the limited data available from existing measuring stations. The main contribution of this paper is the use of a numerical water quality model, calibrated with the available data. This model yields information on the water quality in any cross-section along the river, including the river reaches that are not monitored. Another contribution of the paper is the use of a matter-element analysis that allows for an objective division of the river in reaches that are homogeneous with respect to the water quality as assessed from multiple water quality parameters. The optimal monitoring network consists of one measuring station in each of these homogeneous reaches. The method has been applied to optimize the water quality monitoring network on the 1890 km long upper and middle reaches of the Heilongjiang River in Northeast China. The results suggest that the monitoring network improves considerably by relocating three stations, and not by adding extra stations. (C) 2012 Elsevier Ltd. All rights reserved.