A multiobjective approach to long-term groundwater monitoring design

Patrick Reed, Barbara S Minsker, Albert J Valocchi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The goal of this study is to develop a new methodology that enables decision makers to visualize and quantify the tradeoff between cost and uncertainty for sites undergoing long-term monitoring. Monte Carlo simulation is used to predict discrete cumulative probability distributions (cdf's) for the dissolved contaminant concentrations at every available monitoring location at a site. Indicator kriging is then used to evaluate the local uncertainty associated with sampling subsets of the available monitoring locations. A Non-dominated Sorted Genetic Algorithm (NSGA) searches for sampling plans that are non-dominated in terms of the two objectives: (1) minimizing sampling costs and (2) minimizing relative local uncertainty. The NSGA evolves the Pareto optimal frontier that represents the optimal tradeoff between sampling costs and relative local uncertainty. Each point on the Pareto front can be decomposed into a sampling design's cost and a spatial mapping of its local uncertainty. This methodology will be applied to the Williams Air Force Base in Arizona. Copyright ASCE 2004.

Original languageEnglish (US)
Title of host publicationJoint Conference on Water Resource Engineering and Water Resources Planning and Management 2000
Subtitle of host publicationBuilding Partnerships
DOIs
StatePublished - Dec 1 2004
EventJoint Conference on Water Resource Engineering and Water Resources Planning and Management 2000 - Minneapolis, MN, United States
Duration: Jul 30 2000Aug 2 2000

Publication series

NameJoint Conference on Water Resource Engineering and Water Resources Planning and Management 2000: Building Partnerships
Volume104

Other

OtherJoint Conference on Water Resource Engineering and Water Resources Planning and Management 2000
CountryUnited States
CityMinneapolis, MN
Period7/30/008/2/00

Keywords

  • Contaminants
  • Design
  • Ground-water pollution
  • Ground-water quality
  • Monitoring
  • Multiple objective analysis
  • Sampling

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Water Science and Technology
  • Geography, Planning and Development

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  • Cite this

    Reed, P., Minsker, B. S., & Valocchi, A. J. (2004). A multiobjective approach to long-term groundwater monitoring design. In Joint Conference on Water Resource Engineering and Water Resources Planning and Management 2000: Building Partnerships (Joint Conference on Water Resource Engineering and Water Resources Planning and Management 2000: Building Partnerships; Vol. 104). https://doi.org/10.1061/40517(2000)388