Quantifying the economic benefit of groundwater monitoring: A pilot study
conference paper
Usually the design of the monitoring system is based on the relation between the monitoring effort and the uncertainty of the information. Often the estimation error standard deviation is used as a criterion for the design. Despite the fact that, for scientists, the standard deviation as a measure of uncertainty is a logical criterion, water managers are unable to deduce the exact value of the standard deviation. Therefore, in practice, the criterion is chosen more or less arbitrarily. In this paper we present a pilot study where we have quantified the benefit of a groundwater head monitoring system in economic terms. We considered three different types of land use. For each land use a relation between the groundwater heads and the economic loss was derived. Combining the probability of having a sub-optimal groundwater head from measurements with the loss functions for the different land uses, we can calculate the risk in economic terms. The monitoring system with the lowest sum of risk and monitoring cost is the optimal monitoring system. Copyright © 2008 IAHS Press.
Topics
Cost benefit analysisGroundwater monitoringRisk analysisCalibrationGroundwaterHydrogeologyLand useModal analysisMonitoringReliabilityRisk analysisRisk assessmentRisk perceptionSafety factorStandardsStatisticsUnderground reservoirsEconomic benefitsEconomic lossesEstimation errorsGroundwater headsGroundwater monitoringLoss functionsMeasure of uncertaintiesMonitoring costsMonitoring systemsPilot studiesStandard deviationsWater managersCost benefit analysiscalibrationconference proceedingcost-benefit analysiseconomic impactenvironmental monitoringgroundwaterhydrological modelingmonitoring systemquantitative analysisreliability analysisrisk assessmentuncertainty analysis
TNO Identifier
241109
ISSN
01447815 (ISSN); 9781901502497 (ISBN)
Source title
International Conference on Calibration and Reliability in Groundwater Modelling: Credibility of Modelling, ModelCARE2007, 9 September 2007 through 13 September 2007, Copenhagen, Conference code: 73893
Pages
137-141
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