IDEAS home Printed from https://ideas.repec.org/a/spr/endesu/v26y2024i7d10.1007_s10668-023-03299-6.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10668-023-03299-6
    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/s10668-023-03299-6?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.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    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. Wang, Miao & Feng, Chao, 2017. "Analysis of energy-related CO2 emissions in China’s mining industry: Evidence and policy implications," Resources Policy, Elsevier, vol. 53(C), pages 77-87.
    2. Ang, B.W. & Goh, Tian, 2019. "Index decomposition analysis for comparing emission scenarios: Applications and challenges," Energy Economics, Elsevier, vol. 83(C), pages 74-87.
    3. Li, Wei & Gao, Shubin, 2018. "Prospective on energy related carbon emissions peak integrating optimized intelligent algorithm with dry process technique application for China's cement industry," Energy, Elsevier, vol. 165(PB), pages 33-54.
    4. Zhang, Qingsong & Sun, Jiahao & Dai, Changlei & Zhang, Guangxin & Wu, Yanfeng, 2024. "Sustainable development of groundwater resources under the large-scale conversion of dry land into rice fields," Agricultural Water Management, Elsevier, vol. 298(C).
    5. Raza, Muhammad Yousaf & Lin, Boqiang, 2023. "Future outlook and influencing factors analysis of natural gas consumption in Bangladesh: An economic and policy perspectives," Energy Policy, Elsevier, vol. 173(C).
    6. Lin, Boqiang & Tan, Ruipeng, 2017. "Sustainable development of China's energy intensive industries: From the aspect of carbon dioxide emissions reduction," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 386-394.
    7. Meng, Ming & Shang, Wei & Zhao, Xiaoli & Niu, Dongxiao & Li, Wei, 2015. "Decomposition and forecasting analysis of China's energy efficiency: An application of three-dimensional decomposition and small-sample hybrid models," Energy, Elsevier, vol. 89(C), pages 283-293.
    8. Jia, Hongxiang & Li, Tianjiao & Wang, Anjian & Liu, Guwang & Guo, Xiaoqian, 2021. "Decoupling analysis of economic growth and mineral resources consumption in China from 1992 to 2017: A comparison between tonnage and exergy perspective," Resources Policy, Elsevier, vol. 74(C).
    9. Jian Liu & Qingshan Yang & Yu Zhang & Wen Sun & Yiming Xu, 2019. "Analysis of CO 2 Emissions in China’s Manufacturing Industry Based on Extended Logarithmic Mean Division Index Decomposition," Sustainability, MDPI, vol. 11(1), pages 1-28, January.
    10. Lin, Boqiang & Lei, Xiaojing, 2015. "Carbon emissions reduction in China's food industry," Energy Policy, Elsevier, vol. 86(C), pages 483-492.
    11. Huang, Jian-Bai & Luo, Yu-Mei & Feng, Chao, 2019. "An overview of carbon dioxide emissions from China's ferrous metal industry: 1991-2030," Resources Policy, Elsevier, vol. 62(C), pages 541-549.
    12. Zhang, Xi & Geng, Yong & Shao, Shuai & Dong, Huijuan & Wu, Rui & Yao, Tianli & Song, Jiekun, 2020. "How to achieve China’s CO2 emission reduction targets by provincial efforts? – An analysis based on generalized Divisia index and dynamic scenario simulation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 127(C).
    13. Lin, Boqiang & Raza, Muhammad Yousaf, 2021. "Analysis of electricity consumption in Pakistan using index decomposition and decoupling approach," Energy, Elsevier, vol. 214(C).
    14. Furszyfer Del Rio, Dylan D. & Sovacool, Benjamin K. & Foley, Aoife M. & Griffiths, Steve & Bazilian, Morgan & Kim, Jinsoo & Rooney, David, 2022. "Decarbonizing the ceramics industry: A systematic and critical review of policy options, developments and sociotechnical systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 157(C).
    15. Wang, Miao & Feng, Chao, 2018. "Decomposing the change in energy consumption in China's nonferrous metal industry: An empirical analysis based on the LMDI method," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2652-2663.
    16. Guo, Xuepeng & Pang, Jun, 2023. "Analysis of provincial CO2 emission peaking in China: Insights from production and consumption," Applied Energy, Elsevier, vol. 331(C).
    17. Xin Xu & Yuming Shen & Hanchu Liu, 2022. "What Cause Large Spatiotemporal Differences in Carbon Intensity of Energy-Intensive Industries in China? Evidence from Provincial Data during 2000–2019," IJERPH, MDPI, vol. 19(16), pages 1-18, August.
    18. Eskander, Shaikh M.S.U. & Nitschke, Jakob, 2021. "Energy use and CO2 emissions in the UK universities: an extended Kaya identity analysis," LSE Research Online Documents on Economics 110764, London School of Economics and Political Science, LSE Library.
    19. Xiufan Zhang & Decheng Fan, 2022. "The Spatial-Temporal Evolution of China’s Carbon Emission Intensity and the Analysis of Regional Emission Reduction Potential under the Carbon Emissions Trading Mechanism," Sustainability, MDPI, vol. 14(12), pages 1-29, June.
    20. Liu, Yang & Dong, Kangyin & Taghizadeh-Hesary, Farhad & Dong, Xiucheng, 2024. "How do minerals affect the global energy transition? Metallic versus non-metallic mineral," Resources Policy, Elsevier, vol. 92(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:7:d:10.1007_s10668-023-03299-6. 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.