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Multiobjective Design of Groundwater Monitoring Network Under Epistemic Uncertainty

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  • Anirban Dhar
  • Rajvardhan Patil

Abstract

A methodology is proposed for optimal design of groundwater quality monitoring networks under epistemic uncertainty. The proposed methodology considers spatiotemporal pollutant concentrations as fuzzy numbers. It incorporates fuzzy ordinary kriging (FOK) within the decision model formulation for spatial estimation of contaminant concentration values. A multiobjective monitoring network design model incorporating the objectives of fuzzy mass estimation error and spatial coverage of the designed network is developed. Nondominated Sorting Genetic Algorithm-II (NSGA-II) is used for solving the monitoring network design model. Performances of the proposed model are evaluated for hypothetical illustrative system. Evaluation results indicate that the proposed methodology perform satisfactorily under uncertain system conditions. These performance evaluation results demonstrate the potential applicability of the proposed methodology for optimal groundwater contaminant monitoring network design under epistemic uncertainty. Copyright Springer Science+Business Media B.V. 2012

Suggested Citation

  • Anirban Dhar & Rajvardhan Patil, 2012. "Multiobjective Design of Groundwater Monitoring Network Under Epistemic Uncertainty," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(7), pages 1809-1825, May.
    • Handle: RePEc:spr:waterr:v:26:y:2012:i:7:p:1809-1825
    DOI: 10.1007/s11269-012-9988-1
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    References listed on IDEAS

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    1. Sreenivasulu Chadalavada & Bithin Datta, 2008. "Dynamic Optimal Monitoring Network Design for Transient Transport of Pollutants in Groundwater Aquifers," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 22(6), pages 651-670, June.
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    Cited by:

    1. Juan Esquivel & Guillermo Morales & María Esteller, 2015. "Groundwater Monitoring Network Design Using GIS and Multicriteria Analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(9), pages 3175-3194, July.
    2. Yu-Hao Lin & Yi-Ping Chen & Ming-Der Yang & Tung-Ching Su, 2016. "Multiobjective Optimal Design of Sewerage Rehabilitation by Using the Nondominated Sorting Genetic Algorithm-II," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(2), pages 487-503, January.
    3. Yu-Hao Lin & Yi-Ping Chen & Ming-Der Yang & Tung-Ching Su, 2016. "Multiobjective Optimal Design of Sewerage Rehabilitation by Using the Nondominated Sorting Genetic Algorithm-II," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(2), pages 487-503, January.
    4. Tahoora Sheikhy Narany & Mohammad Ramli & Kazem Fakharian & Ahmad Aris & Wan Sulaiman, 2015. "Multi-Objective Based Approach for Groundwater Quality Monitoring Network Optimization," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(14), pages 5141-5156, November.
    5. Gokmen Tayfur & Ata Nadiri & Asghar Moghaddam, 2014. "Supervised Intelligent Committee Machine Method for Hydraulic Conductivity Estimation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(4), pages 1173-1184, March.

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