Print Email Facebook Twitter Quantifying the economic benefit of groundwater monitoring: A pilot study Title Quantifying the economic benefit of groundwater monitoring: A pilot study Author van Geer, F. Marsman, A. Janssen, G.M.C.M. TNO Bouw en Ondergrond Publication year 2007 Abstract 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. Subject Geological Survey NetherlandsGeosciencesEnergy / Geological Survey NetherlandsCost 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 To reference this document use: http://resolver.tudelft.nl/uuid:f40d02d2-5e0e-4ce8-969e-9aa3611ecd6a TNO identifier 241109 ISBN 9781901502497 ISSN 0144-7815 Source International Conference on Calibration and Reliability in Groundwater Modelling: Credibility of Modelling, ModelCARE2007, 9 September 2007 through 13 September 2007, Copenhagen, Conference code: 73893 (320), 137-141 Series IAHS-AISH Publication Document type conference paper Files To receive the publication files, please send an e-mail request to TNO Library.