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 Netherlands
Geosciences
Energy / Geological Survey Netherlands
Cost benefit analysis
Groundwater monitoring
Risk analysis
Calibration
Groundwater
Hydrogeology
Land use
Modal analysis
Monitoring
Reliability
Risk analysis
Risk assessment
Risk perception
Safety factor
Standards
Statistics
Underground reservoirs
Economic benefits
Economic losses
Estimation errors
Groundwater heads
Groundwater monitoring
Loss functions
Measure of uncertainties
Monitoring costs
Monitoring systems
Pilot studies
Standard deviations
Water managers
Cost benefit analysis
calibration
conference proceeding
cost-benefit analysis
economic impact
environmental monitoring
groundwater
hydrological modeling
monitoring system
quantitative analysis
reliability analysis
risk assessment
uncertainty 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