IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v21y2007i4p699-715.html
   My bibliography  Save this article

Assessing groundwater quality using GIS

Author

Listed:
  • Insaf Babiker
  • Mohamed Mohamed
  • Tetsuya Hiyama

Abstract

Assessing the quality of groundwater is important to ensure sustainable safe use of these resources. However, describing the overall water quality condition is difficult due to the spatial variability of multiple contaminants and the wide range of indicators (chemical, physical and biological) that could be measured. This contribution proposes a GIS-based groundwater quality index (GQI) which synthesizes different available water quality data (e.g., Cl − , Na + , Ca 2+ ) by indexing them numerically relative to the World Health Organization (WHO) standards. Also, introduces an objective procedure to select the optimum parameters to compute the GQI, incorporates the aspect of temporal variation to address the degree of water use sustainability and tests the sensitivity of the proposed model. The GQI indicated that the groundwater quality in the Nasuno basin, Tochigi Prefecture, Japan, is generally high (GQI >90). It has also displayed the natural (depth to groundwater table, geomorphologic structures) and/or anthropogenic (land-use and population density) controls over the spatial variability of groundwater quality in the basin. Temporally, groundwater quality is more variable in the upper and lower parts of the basin (variation, V, 15–30%) compared to the middle part (V, >15%) probably attributed to the seasonality of precipitation and irrigation of rice. In the lower southeastern part of the Nasuno basin and the vicinity of the Naka and Houki rivers the sustainable use of groundwater is constrained by the relatively low and variable groundwater quality. The model sensitivity analysis indicated that parameters which reflect relatively lower water quality (high mean rank value) and those of significant spatial variability imply larger impacts on the GQI and must be carefully and accurately mapped. Optimum index factor technique allows the selection of the best combination of parameters dictating the variability of groundwater quality and enables an objective and fair representation of the overall groundwater quality. Copyright Springer Science + Business Media B.V. 2007

Suggested Citation

  • Insaf Babiker & Mohamed Mohamed & Tetsuya Hiyama, 2007. "Assessing groundwater quality using GIS," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(4), pages 699-715, April.
    • Handle: RePEc:spr:waterr:v:21:y:2007:i:4:p:699-715
    DOI: 10.1007/s11269-006-9059-6
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11269-006-9059-6
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11269-006-9059-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. B. Yan & X. Su & Y. Chen, 2009. "Functional Structure and Data Management of Urban Water Supply Network Based on GIS," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(13), pages 2633-2653, October.
    2. M. El-Fadel & M. Tomaszkiewicz & Y. Adra & S. Sadek & M. Abou Najm, 2014. "GIS-Based Assessment for the Development of a Groundwater Quality Index Towards Sustainable Aquifer Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(11), pages 3471-3487, September.
    3. M. Annie Jenifer & Madan Kumar Jha & Amina Khatun, 2021. "Assessing Multi-Criteria Decision Analysis Models for Predicting Groundwater Quality in a River Basin of South India," Sustainability, MDPI, vol. 13(12), pages 1-29, June.
    4. M. Salahat & M. Al-Qinna & K. Mashal & N. Hammouri, 2014. "Identifying Major Factors Controlling Groundwater Quality in Semiarid Area Using Advanced Statistical Techniques," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(11), pages 3829-3841, September.
    5. Augustina Clara Alexander & Julius Ndambuki & Ramadhan Salim & Alex Manda, 2017. "Assessment of Spatial Variation of Groundwater Quality in a Mining Basin," Sustainability, MDPI, vol. 9(5), pages 1-14, May.
    6. Saret Bun & Sreymao Sek & Chantha Oeurng & Manabu Fujii & Phaly Ham & Pisut Painmanakul, 2021. "A Survey of Household Water Use and Groundwater Quality Index Assessment in a Rural Community of Cambodia," Sustainability, MDPI, vol. 13(18), pages 1-24, September.
    7. Lazhar Belkhiri & Tahoora Narany, 2015. "Using Multivariate Statistical Analysis, Geostatistical Techniques and Structural Equation Modeling to Identify Spatial Variability of Groundwater Quality," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(6), pages 2073-2089, April.
    8. Chandrashekhar Bhuiyan & Prashant Kumar Champati Ray, 2017. "Groundwater Quality Zoning in the Perspective of Health Hazards," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(1), pages 251-267, January.
    9. Meenu Rani & Himanshu Joshi & Kireet Kumar & Darshan Kumar Bhatt & Pavan Kumar, 2021. "Climate change scenario of hydro-chemical analysis and mapping spatio-temporal changes in water chemistry of water springs in Kumaun Himalaya," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(3), pages 4659-4674, March.
    10. Rajendra B. Zolekar & Rahul S. Todmal & Vijay S. Bhagat & Santosh A. Bhailume & Mahendra S. Korade & Sumit Das, 2021. "Hydro-chemical characterization and geospatial analysis of groundwater for drinking and agricultural usage in Nashik district in Maharashtra, India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(3), pages 4433-4452, March.
    11. Mohamed Alfy & Aref Lashin & Nassir Al-Arifi & Abdulaziz Al-Bassam, 2015. "Groundwater Characteristics and Pollution Assessment Using Integrated Hydrochemical Investigations GIS and Multivariate Geostatistical Techniques in Arid Areas," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(15), pages 5593-5612, December.
    12. P. J. Sajil Kumar, 2022. "GIS-based mapping of water-level fluctuations (WLF) and its impact on groundwater in an Agrarian District in Tamil Nadu, India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(1), pages 994-1009, January.
    13. Abdessamed Derdour & Hazem Ghassan Abdo & Hussein Almohamad & Abdullah Alodah & Ahmed Abdullah Al Dughairi & Sherif S. M. Ghoneim & Enas Ali, 2023. "Prediction of Groundwater Quality Index Using Classification Techniques in Arid Environments," Sustainability, MDPI, vol. 15(12), pages 1-20, June.
    14. A. El-Hames & A. Hannachi & M. Al-Ahmadi & N. Al-Amri, 2013. "Groundwater Quality Zonation Assessment using GIS, EOFs and Hierarchical Clustering," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(7), pages 2465-2481, May.
    15. M. Annie Jenifer & Madan Kumar Jha, 2022. "A Novel GIS-Based Modeling Approach for Evaluating Aquifer Susceptibility to Anthropogenic Contamination," Sustainability, MDPI, vol. 14(8), pages 1-20, April.
    16. Chander Singh & Satyanarayan Shashtri & Saumitra Mukherjee & Rina Kumari & Ram Avatar & Amit Singh & Ravi Singh, 2011. "Application of GWQI to Assess Effect of Land Use Change on Groundwater Quality in Lower Shiwaliks of Punjab: Remote Sensing and GIS Based Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(7), pages 1881-1898, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:waterr:v:21:y:2007:i:4:p:699-715. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.