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Freshwater quality monitoring systems: ways towards improvements

机译:淡水水质监测系统:改进方法

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Investigation and management of the quality of freshwater resources require data on the status of aquatic environments. These data are traditionally collected by routine monitoring systems which are supported by federal and/or local governments operating under limited budgets. This makes the optimization of water quality monitoring systems, in general, and monitoring designs, in particular, an urgent issue. The paper presents a model-driven approach to the development of efficient multi-parameter temporal designs for stream monitoring systems. The approach is based on an operation research model developed using cost-effectiveness analysis and non-linear regression models describing multi-parameter interactions. The developed model does not require site specific parameterization other than a series of water constituent concentrations measured at a given observation site. This approach was tested on a small river with a highly urbanized watershed and the results were compared with existing monitoring programmes.
机译:淡水资源质量的调查和管理需要有关水生环境状况的数据。传统上,这些数据是由例行监控系统收集的,这些系统由预算有限的联邦和/或地方政府支持。总体而言,这使得水质监测系统的优化,尤其是监测设计的优化成为当务之急。本文提出了一种模型驱动的方法来开发用于流监视系统的有效多参数时间设计。该方法基于使用成本效益分析和描述多参数相互作用的非线性回归模型开发的运筹学模型。除了在给定观测点测量的一系列水成分浓度外,开发的模型不需要进行地点特定的参数化。该方法在流域高度城市化的小河上进行了测试,并将结果与​​现有的监测计划进行了比较。

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