IDEAS home Printed from https://ideas.repec.org/a/spr/endesu/v26y2024i2d10.1007_s10668-022-02876-5.html
   My bibliography  Save this article

Assessment of seasonal groundwater quality variation employing GIS and statistical approaches in Kabul basin, Afghanistan

Author

Listed:
  • Ali Reza Noori

    (Delhi Technological University
    Kabul Polytechnic University)

  • S. K. Singh

    (Delhi Technological University)

Abstract

Increased demand for groundwater resources, restricted accessibility, and declining quality needs long-term groundwater conservation, particularly in metropolitan areas. The present study aimed to develop the regional spatial distribution of several groundwater quality parameters and assess their seasonal statistical significance in the Kabul basin of Afghanistan. Groundwater quality data of 54 monitoring wells were collected from the National Water Affairs Regulation Authority of Afghanistan, including the dry and wet seasons data. Some particular water quality measures, such as electrical conductivity, total dissolved solids, hardness, nitrate, chloride, fluoride, sulfate, sodium, and some heavy metals, were chosen for the analysis. These parameters' spatial distribution maps and temporal variations were developed to interpret spatial trends in groundwater quality and seasonal variations. Seasonal fluctuations in each quality metric were also tested to see if they were statistically significant. Based on the statistical findings, seasonal changes in the concentrations of magnesium, sodium, chloride, fluoride, iron, and manganese varied significantly. Out of the 20 assessments of water quality, 14 during the dry and 15 during the wet seasons revealed concentrations higher than the World Health Organization recommends. Variations in water quality metrics are correlated to the amount of recharge volume, hydraulic conductivity, and the geological formation of the region. The level of qualitative parameters has increased in the wet season, mainly in the wells located close to river routes or in agricultural areas. Results provide further insights into groundwater quality. Local authorities can utilize the outputs to develop sustainable water resource management.

Suggested Citation

  • Ali Reza Noori & S. K. Singh, 2024. "Assessment of seasonal groundwater quality variation employing GIS and statistical approaches in Kabul basin, Afghanistan," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(2), pages 4153-4174, February.
  • Handle: RePEc:spr:endesu:v:26:y:2024:i:2:d:10.1007_s10668-022-02876-5
    DOI: 10.1007/s10668-022-02876-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10668-022-02876-5
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10668-022-02876-5?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.

    References listed on IDEAS

    as
    1. Jawid, Asadullah & Khadjavi, Menusch, 2019. "Adaptation to climate change in Afghanistan: Evidence on the impact of external interventions," Economic Analysis and Policy, Elsevier, vol. 64(C), pages 64-82.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Meraj Sarwary & Senthilnathan Samiappan & Ghulam Dastgir Khan & Masaood Moahid, 2023. "Climate Change and Cereal Crops Productivity in Afghanistan: Evidence Based on Panel Regression Model," Sustainability, MDPI, vol. 15(14), pages 1-13, July.
    2. Khanal, Uttam & Wilson, Clevo & Rahman, Sanzidur & Lee, Boon & Hoang, Vincent, 2020. "Smallholder farmers’ adaptation to climate change and its potential contribution to UN’s sustainable development goals of zero hunger and no poverty," MPRA Paper 106917, University Library of Munich, Germany, revised 07 Sep 2020.
    3. Suresh, Kanesh & Khanal, Uttam & Wilson, Clevo & Managi, Shunsuke & Quayle, Annette & Santhirakumar, Samithamby, 2021. "An economic analysis of agricultural adaptation to climate change impacts in Sri Lanka: An endogenous switching regression analysis," Land Use Policy, Elsevier, vol. 109(C).
    4. George Halkos & Antonis Skouloudis & Chrisovalantis Malesios & Nikoleta Jones, 2020. "A Hierarchical Multilevel Approach in Assessing Factors Explaining Country-Level Climate Change Vulnerability," Sustainability, MDPI, vol. 12(11), pages 1-14, May.
    5. Wu, Zhiyang & Zhou, Tao & Zhang, Ning & Choi, Yongrok & Kong, Fanbin, 2023. "A hidden risk in climate change: The effect of daily rainfall shocks on industrial activities," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 161-180.
    6. Tosin Kolajo Gbadegesin & Bo Pieter Johannes Andree & Ademola Braimoh, 2024. "Climate Shocks and Their Effects on Food Security, Prices, and Agricultural Wages in Afghanistan," Policy Research Working Paper Series 10999, The World Bank.
    7. Kabir, Jahangir & Cramb, Rob & Alauddin, Mohammad & Gaydon, Donald S. & Roth, Christian H., 2020. "Farmers’ perceptions and management of risk in rice/shrimp farming systems in South-West Coastal Bangladesh," Land Use Policy, Elsevier, vol. 95(C).
    8. Jawid, Asadullah, 2020. "A Ricardian analysis of the economic impact of climate change on agriculture: Evidence from the farms in the central highlands of Afghanistan," Journal of Asian Economics, Elsevier, vol. 67(C).
    9. Nasrin Naher Bithe & Elora Ferdous Ela & Md. Shamsuddin Sarker, 2021. "Understanding Adaptation Techniques of Mango Producers under a Changing Climate: A Micro-Econometric Analysis from Chapai Nawabganj District," International Journal of Science and Business, IJSAB International, vol. 5(8), pages 248-259.
    10. Twecan, Dalson & Wang, Weiguang & Xu, Junzeng & Mohmmed, Alnail, 2022. "Climate change vulnerability, adaptation measures, and risk perceptions at households level in Acholi sub-region, Northern Uganda," Land Use Policy, Elsevier, vol. 115(C).
    11. Weerasekara, Sajeevani & Wilson, Clevo & Lee, Boon & Hoang, Viet-Ngu & Managi, Shunsuke & Rajapaksa, Darshana, 2021. "The impacts of climate induced disasters on the economy: Winners and losers in Sri Lanka," Ecological Economics, Elsevier, vol. 185(C).

    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:endesu:v:26:y:2024:i:2:d:10.1007_s10668-022-02876-5. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.