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Assessment of a groundwater quality monitoring network using vulnerability mapping and geostatistics: A case study from Heretaunga Plains, New Zealand

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  • Baalousha, Husam

Abstract

A groundwater monitoring network can provide quantity and quality data necessary to make informed decisions regarding the state of the environment. A properly designed monitoring system provides a representative understanding of the state of the monitored area. The selection of the optimum number of monitoring sites and their spatial distribution is a major challenge for the hydrogeologist. On the one hand, improper distribution of monitoring sites or insufficient number of sites will not provide a representative view of the state of the environment. On the other hand, if the sampled sites are too many, the information obtained is redundant and the monitoring network is costly and inefficient. A new methodology combining vulnerability mapping and geostatistics is proposed to help define the most efficient groundwater quality monitoring network on a regional scale. Vulnerability mapping identifies areas with high pollution potential, and in turn, prioritises for monitoring. A geostatistics methodology is then used to interpret the obtained data and to examine the spatial distribution of monitored parameters at different sites. The accuracy of spatial mapping reflects the effectiveness of the distribution of the monitoring sites. The methodology was applied to assess the nitrate monitoring network in the Heretaunga basin, Hawke's Bay, New Zealand. The DRASTIC approach was used to prepare a vulnerability map for the area of study, and kriging variance was used to check the spatial distribution of the sites. Based on this study, it was found that some areas with high vulnerability are not covered within the existing network indicating the number of monitoring sites and their distribution is not efficient. Some sites should be dropped and some others need to be added to the existing network.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:agiwat:v:97:y:2010:i:2:p:240-246
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    References listed on IDEAS

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    1. H. Assaf & M. Saadeh, 2009. "Geostatistical Assessment of Groundwater Nitrate Contamination with Reflection on DRASTIC Vulnerability Assessment: The Case of the Upper Litani Basin, Lebanon," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(4), pages 775-796, March.
    2. Daniela Ducci, 1999. "GIS Techniques for Mapping Groundwater Contamination Risk," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 20(2), pages 279-294, November.
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    Citations

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    Cited by:

    1. 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.
    2. 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.
    3. Ruiliang Jia & Jinlong Zhou & Yinzhu Zhou & Qiao Li & Yexin Gao, 2014. "A Vulnerability Evaluation of the Phreatic Water in the Plain Area of the Junggar Basin, Xinjiang Based on the VDEAL Model," Sustainability, MDPI, Open Access Journal, vol. 6(12), pages 1-14, November.
    4. Aminreza Neshat & Biswajeet Pradhan, 2015. "An integrated DRASTIC model using frequency ratio and two new hybrid methods for groundwater vulnerability assessment," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 76(1), pages 543-563, March.
    5. 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.
    6. Aminreza Neshat & Biswajeet Pradhan, 2015. "Risk assessment of groundwater pollution with a new methodological framework: application of Dempster–Shafer theory and GIS," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 78(3), pages 1565-1585, September.

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