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Groundwater-level trends and implications for sustainable water use in the Kabul Basin, Afghanistan

Author

Listed:
  • Thomas J. Mack

    (U.S. Geological Survey)

  • Michael P. Chornack

    (U.S. Geological Survey)

  • Mohammad R. Taher

    (Afghanistan Geological Survey)

Abstract

The Kabul Basin, which includes the city of Kabul, Afghanistan, with a population of approximately 4 million, has several Afghan, United States, and international military installations that depend on groundwater resources for a potable water supply. This study examined groundwater levels in the Kabul Basin from 2004 to 2012. Groundwater levels have increased slightly in rural areas of the Kabul Basin as a result of normal precipitation after the drought of the early 2000s. However, groundwater levels have decreased in the city of Kabul due to increasing water use in an area with limited recharge. The rate of groundwater-level decrease in the city is greater for the 2008–2012 period (1.5 meters per year (m/yr) on average) than for the 2004–2008 period (0–0.7 m/yr on average). The analysis, which is corroborated by groundwater-flow modeling and a non-governmental organization decision-support model, identified groundwater-level decreases and associated implications for groundwater sustainability in the city of Kabul. Military installations in the city of Kabul (the Central Kabul subbasin) are likely to face water management challenges resulting from long-term groundwater sustainability concerns, such as the potential drying of shallow water-supply wells. Installations in the northern part of the Kabul Basin may have fewer issues with long-term water sustainability. Groundwater-level monitoring and groundwater-flow simulation can be valuable tools for assessing groundwater management options to improve the sustainability of water resources in the Kabul Basin.

Suggested Citation

  • Thomas J. Mack & Michael P. Chornack & Mohammad R. Taher, 2013. "Groundwater-level trends and implications for sustainable water use in the Kabul Basin, Afghanistan," Environment Systems and Decisions, Springer, vol. 33(3), pages 457-467, September.
    • Handle: RePEc:spr:envsyd:v:33:y:2013:i:3:d:10.1007_s10669-013-9455-4
    DOI: 10.1007/s10669-013-9455-4
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    References listed on IDEAS

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    1. G. R. Lashkaripour & S. A. Hussaini, 2008. "Water resource management in Kabul river basin, eastern Afghanistan," Environment Systems and Decisions, Springer, vol. 28(3), pages 253-260, September.
    2. World Bank, 2010. "Afghanistan - Scoping Strategic Options for Development of the Kabul River Basin : A Multisectoral Decision Support System Approach," World Bank Publications - Reports 18422, The World Bank Group.
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    Cited by:

    1. Omaid Najmuddin & Faisal Mueen Qamer & Habib Gul & Weiqing Zhuang & Fan Zhang, 2021. "Cropland use preferences under land, water and labour constraints— implications for wheat self-sufficiency in the Kabul River basin, Afghanistan," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 13(4), pages 955-979, August.
    2. Omaid Najmuddin & Xiangzheng Deng & Ruchira Bhattacharya, 2018. "The Dynamics of Land Use/Cover and the Statistical Assessment of Cropland Change Drivers in the Kabul River Basin, Afghanistan," Sustainability, MDPI, vol. 10(2), pages 1-18, February.
    3. Peter A. Beling, 2013. "Multi-scale decision making: challenges in engineering and environmental systems," Environment Systems and Decisions, Springer, vol. 33(3), pages 323-325, September.
    4. Akhtar, F. & Awan, Usman Khalid & Borgemeister, C. & Tischbein, B., 2021. "Coupling remote sensing and hydrological model for evaluating the impacts of climate change on streamflow in data-scarce environment," Papers published in Journals (Open Access), International Water Management Institute, pages 1-13(24):14.
    5. Sarvin Zamanzad-Ghavidel & Sina Fazeli & Sevda Mozaffari & Reza Sobhani & Mohammad Azamathulla Hazi & Alireza Emadi, 2023. "Estimating of aqueduct water withdrawal via a wavelet-hybrid soft-computing approach under uniform and non-uniform climatic conditions," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(6), pages 5283-5314, June.
    6. Mohammad Naser Sediqi & Mohammed Sanusi Shiru & Mohamed Salem Nashwan & Rawshan Ali & Shadan Abubaker & Xiaojun Wang & Kamal Ahmed & Shamsuddin Shahid & Md. Asaduzzaman & Sayed Mir Agha Manawi, 2019. "Spatio-Temporal Pattern in the Changes in Availability and Sustainability of Water Resources in Afghanistan," Sustainability, MDPI, vol. 11(20), pages 1-17, October.
    7. Muhammad Ali Musarat & Wesam Salah Alaloul & Muhammad Babar Ali Rabbani & Mujahid Ali & Muhammad Altaf & Roman Fediuk & Nikolai Vatin & Sergey Klyuev & Hamna Bukhari & Alishba Sadiq & Waqas Rafiq & Wa, 2021. "Kabul River Flow Prediction Using Automated ARIMA Forecasting: A Machine Learning Approach," Sustainability, MDPI, vol. 13(19), pages 1-26, September.

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