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Optimization of Groundwater Quality Monitoring Network Using Risk Assessment and Geostatistic Approach

Author

Listed:
  • Shih -Ching Wu

    (National Taiwan University)

  • Kai-Yuan Ke

    (National Taiwan University)

  • Hsien-Tsung Lin

    (Soil and Groundwater Management Group, Formosa Plastics Corporation)

  • Yih-Chi Tan

    (National Taiwan University
    National Taiwan University)

Abstract

The sampling data from the groundwater quality monitoring network (GQMN) can not only characterize the properties of the natural resource in groundwater system, but also delineate contaminated area and risk potential by human activities. This study aimed to provide a process for designing GQMN for non-existing monitoring well using Nantou area in Taiwan as the example. First, this study have integrated four contributing factors (land use, soil media, topography and population) of both vulnerability map and hazard map to calculate the Contamination Risk Index (CRI) via Geographic Information System (GIS) model. The results of the map demonstrated that the spatial distribution of the highest contamination risk potential and provided the preliminary deployment of the spatial locations of the candidate monitoring wells. According to the deployment of the candidate monitoring wells, this study used the geostatistical approach to calculate the percentage of the total area with acceptance accuracy of the candidate monitoring wells for different threshold. Based on the defined performance, the available monitoring networks for different threshold of three cases are estimated. The information can support the designer or the decision maker to design appropriate monitoring network whether they have a limited funding or not.

Suggested Citation

  • Shih -Ching Wu & Kai-Yuan Ke & Hsien-Tsung Lin & Yih-Chi Tan, 2017. "Optimization of Groundwater Quality Monitoring Network Using Risk Assessment and Geostatistic Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(1), pages 515-530, January.
    • Handle: RePEc:spr:waterr:v:31:y:2017:i:1:d:10.1007_s11269-016-1545-x
    DOI: 10.1007/s11269-016-1545-x
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    References listed on IDEAS

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    1. Bithin Datta & Dibakar Chakrabarty & Anirban Dhar, 2009. "Optimal Dynamic Monitoring Network Design and Identification of Unknown Groundwater Pollution Sources," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(10), pages 2031-2049, August.
    2. A. Fadlelmawla & Mahmoud Fayad & Hamdi El-Gamily & Tarik Rashid & Amitabha Mukhopadhyay & Vincent Kotwicki, 2011. "A Land Surface Zoning Approach Based on Three-Component Risk Criteria for Groundwater Quality Protection," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(6), pages 1677-1697, April.
    3. Baalousha, Husam, 2010. "Assessment of a groundwater quality monitoring network using vulnerability mapping and geostatistics: A case study from Heretaunga Plains, New Zealand," Agricultural Water Management, Elsevier, vol. 97(2), pages 240-246, February.
    4. Hsien-Tsung Lin & Kai-Yuan Ke & Yih-Chi Tan & Shih-Ching Wu & Gao Hsu & Po-Chia Chen & Shi-Ting Fang, 2013. "Estimating Pumping Rates and Identifying Potential Recharge Zones for Groundwater Management in Multi-Aquifers System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(9), pages 3293-3306, July.
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    Cited by:

    1. Hedi Mahmoudpour & Somaye Janatrostami & Afshin Ashrafzadeh, 2023. "Optimal Design of Groundwater Quality Monitoring Network Using Aquifer Vulnerability Map," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(2), pages 797-818, January.

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