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Development of groundwater poverty index focusing on agricultural and industrial perspectives in West Azerbaijan Province, Iran

Author

Listed:
  • Reza Sobhani

    (Sari Agricultural Sciences and Natural Resources University)

  • Alireza Emadi

    (Sari Agricultural Sciences and Natural Resources University)

  • Ramin Fazloula

    (Sari Agricultural Sciences and Natural Resources University)

  • Sarvin Zamanzad-Ghavidel

    (Sari Agricultural Sciences and Natural Resources University
    Daneshvaran Omran-Ab Consulting Engineers
    Urmia University- Iran’s National Elites Foundation)

Abstract

Groundwater resources play an important role in meeting the water needs of agriculture and industry. Therefore, identifying the factors affecting the potential challenges of groundwater resources can be key to proper implementation and management, considered the main goal of the current research. In this study, agricultural groundwater poverty index (AGPI) and industrial groundwater poverty index (IGPI) were developed based on General, Effective, and Data mining methods for the study period 2012–2020 in the West Azerbaijan Province, Iran. Both agricultural and industrial sectors were classified into five categories with 17 and 15 associated variables, respectively. The total scores of AGPI and IGPI were obtained (48.63, 47.80, 49.67) and (33.35, 33.60, 33.37), respectively, for General, Effective, and Data mining methods in the West Azerbaijan Province. In 2012–2020, the qualitative classification of the sustainability status of groundwater resources for the agriculture and industry sectors was at a good and very good level. The crop cultivation patterns of Pea, Beans, and Lentils products require management reforms to avoid the relative unsustainability in groundwater resources. Also, Production of Food and Beverages, Tobacco products, Production of Coke fuel, Oil refineries, and Nuclear fuels, Chemical Products, Rubber and Plastic products, and Non-Metallic Mineral Products could face management challenges in the West Azerbaijan Province. As the agricultural sector puts more pressure on groundwater resources than the industrial sector, it is expected that the southern part of the province will be more affected by water crises in the future. Also, the countries' internal management plans and international relations, such as the Joint Comprehensive Plan of Action (JCPOA), could have a significant impact on the status of their water resources. Due to saving time and money, it is highly recommended to use the Data mining method to develop the AGPI and IGPI in practical projects. The results of current study will have a critical impact on improving and optimizing the performance of implemented groundwater resource management projects in various temporal–spatial levels. Graphical Abstract

Suggested Citation

  • Reza Sobhani & Alireza Emadi & Ramin Fazloula & Sarvin Zamanzad-Ghavidel, 2024. "Development of groundwater poverty index focusing on agricultural and industrial perspectives in West Azerbaijan Province, Iran," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(7), pages 16555-16583, July.
  • Handle: RePEc:spr:endesu:v:26:y:2024:i:7:d:10.1007_s10668-023-03299-6
    DOI: 10.1007/s10668-023-03299-6
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    References listed on IDEAS

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    1. Tung-Tsan Chen & Wei-Ling Hsu & Wen-Kuang Chen, 2020. "An Assessment of Water Resources in the Taiwan Strait Island Using the Water Poverty Index," Sustainability, MDPI, vol. 12(6), pages 1-22, March.
    2. Leila Zoleikhaie Sayyar & Karim Naderi Mahdei & Hossein Shabanali Fami & Mahsa Motaghed, 2022. "Developing and Analyzing the Agricultural Water Poverty Index in West Iran," Sustainability, MDPI, vol. 14(3), pages 1-15, January.
    3. Sarvin ZamanZad-Ghavidel & Omid Bozorg-Haddad & Erfan Goharian, 2021. "Sustainability assessment of water resource systems using a novel hydro-socio-economic index (HSEI)," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(2), pages 1869-1916, February.
    4. Ajit Pratap Singh & Prashant Bhakar, 2021. "Development of groundwater sustainability index: a case study of western arid region of Rajasthan, India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(2), pages 1844-1868, February.
    5. David A Petina & Michael Murphy & Andrew C Gross, 2011. "Electric Power Transmission and Distribution Equipment," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 46(4), pages 249-259, October.
    6. Lin, Boqiang & Ouyang, Xiaoling, 2014. "Analysis of energy-related CO2 (carbon dioxide) emissions and reduction potential in the Chinese non-metallic mineral products industry," Energy, Elsevier, vol. 68(C), pages 688-697.
    7. AM Anju & SE Vicky & PJ Sajil Kumar, 2017. "Water poverty Analysis using Water Poverty Index (WPI) -A critical Review," International Journal of Environmental Sciences & Natural Resources, Juniper Publishers Inc., vol. 1(4), pages 112-114, February.
    8. Luke Juran & Morgan C. MacDonald & Nandita B. Basu & Shane Hubbard & Raj Rajagopal & Prema Rajagopalan & Ligy Philip, 2017. "Development and application of a multi-scalar, participant-driven water poverty index in post-tsunami India," International Journal of Water Resources Development, Taylor & Francis Journals, vol. 33(6), pages 955-975, November.
    9. Ali Akhavan & Paulo Gonçalves, 2021. "Managing the trade‐off between groundwater resources and large‐scale agriculture: the case of pistachio production in Iran," System Dynamics Review, System Dynamics Society, vol. 37(2-3), pages 155-196, April.
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