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实时监测水质,以识别中小河流中的污染途径。

Real-time monitoring of water quality to identify pollution pathways in small and middle scale rivers.

机构信息

Institute of Inorganic and Analytical Chemistry, Saarland University, Saarbrücken, Germany.

Hessian Agency for Nature Conservation, Environment and Geology, Water Quality Department, Wiesbaden, Germany.

出版信息

Sci Total Environ. 2019 Feb 15;651(Pt 2):2323-2333. doi: 10.1016/j.scitotenv.2018.10.069. Epub 2018 Oct 11.

DOI:10.1016/j.scitotenv.2018.10.069
PMID:30332665
Abstract

The quality standards for surface waters increase steadily bearing new challenges for water policy. Precise knowledge of the sources and transport pathway of various impacts in a catchment area is of particular importance for any management activities. Online measurements with high temporal resolution are particularly suited for this purpose especially in small and middle scale catchments. In this paper we present an approach applying mobile measuring stations in which commercial available sensors and wet chemical analysers are combined in a new set to enable real-time monitoring of various parameters. The resulting data and the interpretation of their relationships allow the identification of diverse pollution situations in a river. In this paper some examples of impacts from diffuse and point sources are given to illustrate the high information density obtained through the use of this system.

摘要

地表水质标准不断提高,给水政策带来新的挑战。对于任何管理活动,流域内各种影响的来源和传输途径的准确知识都尤为重要。具有高时间分辨率的在线测量特别适用于此目的,特别是在中小规模流域中。在本文中,我们提出了一种应用移动测量站的方法,其中将商业上可用的传感器和湿化学分析仪组合在一个新的集合中,以实现各种参数的实时监测。由此产生的数据及其关系的解释允许识别河流中的各种污染情况。本文给出了一些来自面源和点源影响的示例,以说明通过使用该系统获得的高信息密度。

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