Abstract
The Water Framework Directive 2000/60/EC draw attention to Water Quality Monitoring Networks (WQMN) that allows the acquisition of information regarding water streams. Information could be acquired by a spatial and/or temporal approach. However, there is a cost for monitoring water quality. Hence, to determine the spatio-temporal design of the network, the Economic Value of Information must be known to undertake a cost-benefit analysis. In this study, we show how the calculation of the EVOI can help the network manager to answer questions such as: is the cost of monitoring justified? How to allocate a budget between adding a monitoring station or increasing the frequency of measurement of existing stations?
Highlights
The Water Quality Monitoring Networks (WQMN) has been the research topic for several studies
The WQMN has been the research topic for several studies. Part of these studies focused on the physical optimization of the WQMN, while the other part focused on the Economic Value of Information (EVOI) provided by the WQMN
Spatial issues comprise the optimization of the location and the number of monitoring stations, whereas temporal issues take into account the optimization of the sampling frequency. [1] determined the location of the monitoring stations that decreased the average deviation for the water pollution index. [2] focused on determining the location of the monitoring network that minimized the detection time for accidental pollution
Summary
The WQMN has been the research topic for several studies. Part of these studies focused on the physical optimization of the WQMN, while the other part focused on the Economic Value of Information (EVOI) provided by the WQMN. [6] tried to find the optimal spatio-temporal design of a WQMN in the Karkheh reservoir. They presented a multi-criteria methodology based on maximizing a statistical value of information, minimizing the number of monitoring stations and the sampling frequency. We combine the literature on physical network optimization and EVOI, in order to determine the spatio-temporal design of the WQMN that maximizes the EVOI.
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