IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i11p6667-d827581.html
   My bibliography  Save this article

GIS and Remote Sensing-Based Multi-Criteria Analysis for Delineation of Groundwater Potential Zones: A Case Study for Industrial Zones in Bangladesh

Author

Listed:
  • Md. Mizanur Rahman

    (Farm Machinery and Post-Harvest Technology (FMPHT) Division, Bangladesh Rice Research Institute (BRRI), Gazipur 1701, Bangladesh)

  • Faisal AlThobiani

    (Faculty of Maritime Studies, King Abdulaziz University, Jeddah 21589, Saudi Arabia)

  • Shamsuddin Shahid

    (Department of Water and Environmental Engineering, School of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia)

  • Salvatore Gonario Pasquale Virdis

    (Department of Information and Communication Technologies, School of Engineering and Technology, AIT Asian Institute of Technology, Bangkok 12120, Thailand)

  • Mohammad Kamruzzaman

    (Farm Machinery and Post-Harvest Technology (FMPHT) Division, Bangladesh Rice Research Institute (BRRI), Gazipur 1701, Bangladesh)

  • Hafijur Rahaman

    (Workshop Machinery and Maintenance (WMM) Division, Bangladesh Rice Research Institute (BRRI), Gazipur 1701, Bangladesh)

  • Md. Abdul Momin

    (Department of Agriculture, The University of Arkansas at Pine Bluff, 1200 N. University Drive, Pine Bluff, AR 71601, USA)

  • Md. Belal Hossain

    (Irrigation and Water Management Division, Bangladesh Rice Research Institute (BRRI), Gazipur 1701, Bangladesh)

  • Emad Ismat Ghandourah

    (Department of Nuclear Engineering, Faculty of Engineering, King Abdulaziz University, Jeddah 21589, Saudi Arabia)

Abstract

Groundwater is a crucial natural resource that varies in quality and quantity across Bangladesh. Increased population and urbanization place enormous demands on groundwater supplies, reducing both their quality and quantity. This research aimed to delineate the groundwater potential zone in the Gazipur district, Bangladesh, by integrating eleven thematic layers. Data and information were gathered from Landsat 8, the digital elevation model, the google earth engine, and several ancillary sources. A multi-criterion decision-making (MCDM) based analytical hierarchy process (AHP) was used in a GIS platform to estimate the groundwater potential index. The potential index values were finally classified into five sub-groups: very low, low, moderate, high, and very high to generate a groundwater water potential zone ( GWPZ ) map. The results show that groundwater potential in about 0.002% (0.026 km 2 ) of the area is very low, 3.83% (63.18 km 2 ) of the area is low, 56.2% (927.05 km 2 ) of the area is medium, 39.25% (647.46 km 2 ) of the area is high, and the rest 0.72% (11.82 km 2 ) of the area is very high. The validation of GWPZ maps based on the groundwater level data at 20 observation wells showed an overall accuracy of 80%. In addition, the ROC curve showed 84% accuracy of GWPZ maps when validated with water inventory points across the study region. Overall, this study presents an easy and practical approach for identifying groundwater potential zones, which may help improve planning and sustainable groundwater resource management.

Suggested Citation

  • Md. Mizanur Rahman & Faisal AlThobiani & Shamsuddin Shahid & Salvatore Gonario Pasquale Virdis & Mohammad Kamruzzaman & Hafijur Rahaman & Md. Abdul Momin & Md. Belal Hossain & Emad Ismat Ghandourah, 2022. "GIS and Remote Sensing-Based Multi-Criteria Analysis for Delineation of Groundwater Potential Zones: A Case Study for Industrial Zones in Bangladesh," Sustainability, MDPI, vol. 14(11), pages 1-25, May.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:11:p:6667-:d:827581
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/11/6667/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/11/6667/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Saro Lee & Chang-Wook Lee, 2015. "Application of Decision-Tree Model to Groundwater Productivity-Potential Mapping," Sustainability, MDPI, vol. 7(10), pages 1-17, September.
    2. Jaivime Evaristo & Scott Jasechko & Jeffrey J. McDonnell, 2015. "Global separation of plant transpiration from groundwater and streamflow," Nature, Nature, vol. 525(7567), pages 91-94, September.
    3. Zahid, A. & Ahmed, S. R. U., 2006. "Groundwater resources development in Bangladesh: contribution to irrigation for food security and constraints to sustainability," IWMI Books, Reports H039306, International Water Management Institute.
    4. Huajie Duan & Zhengdong Deng & Feifan Deng & Daqing Wang, 2016. "Assessment of Groundwater Potential Based on Multicriteria Decision Making Model and Decision Tree Algorithms," Mathematical Problems in Engineering, Hindawi, vol. 2016, pages 1-11, December.
    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. Ranjan Roy & Ngai Weng Chan, 2012. "An assessment of agricultural sustainability indicators in Bangladesh: review and synthesis," Environment Systems and Decisions, Springer, vol. 32(1), pages 99-110, March.
    2. Dang, Hongzhong & Han, Hui & Chen, Shuai & Li, Mingyang, 2021. "A fragile soil moisture environment exacerbates the climate change-related impacts on the water use by Mongolian Scots pine (Pinus sylvestris var. mongolica) in northern China: Long-term observations," Agricultural Water Management, Elsevier, vol. 251(C).
    3. Karel Doubravský & Alena Kocmanová & Mirko Dohnal, 2018. "Analysis of Sustainability Decision Trees Generated by Qualitative Models Based on Equationless Heuristics," Sustainability, MDPI, vol. 10(7), pages 1-18, July.
    4. Alam, Khorshed, 2015. "Farmers’ adaptation to water scarcity in drought-prone environments: A case study of Rajshahi District, Bangladesh," Agricultural Water Management, Elsevier, vol. 148(C), pages 196-206.
    5. Alauddin, Mohammad & Sharma, Bharat R., 2013. "Inter-district rice water productivity differences in Bangladesh: An empirical exploration and implications," Ecological Economics, Elsevier, vol. 93(C), pages 210-218.
    6. Sunmin Lee & Yunjung Hyun & Moung-Jin Lee, 2019. "Groundwater Potential Mapping Using Data Mining Models of Big Data Analysis in Goyang-si, South Korea," Sustainability, MDPI, vol. 11(6), pages 1-21, March.
    7. Saad AlAyyash & A’kif Al-Fugara & Rania Shatnawi & Abdel Rahman Al-Shabeeb & Rida Al-Adamat & Hani Al-Amoush, 2023. "Combination of Metaheuristic Optimization Algorithms and Machine Learning Methods for Groundwater Potential Mapping," Sustainability, MDPI, vol. 15(3), pages 1-22, January.
    8. Changming Cao & Na Li & Weifeng Yue & Lijun Wu & Xinyi Cao & Yuanzheng Zhai, 2022. "Analysis of the Interaction between Lake and Groundwater Based on Water–Salt Balance Method and Stable Isotopic Characteristics," IJERPH, MDPI, vol. 19(19), pages 1-16, September.
    9. Aliasghar Azma & Esmaeil Narreie & Abouzar Shojaaddini & Nima Kianfar & Ramin Kiyanfar & Seyed Mehdi Seyed Alizadeh & Afshin Davarpanah, 2021. "Statistical Modeling for Spatial Groundwater Potential Map Based on GIS Technique," Sustainability, MDPI, vol. 13(7), pages 1-18, March.
    10. Yukyan Lam & Peter J. Winch & Fosiul Alam Nizame & Elena T. Broaddus-Shea & Md. Golam Dostogir Harun & Pamela J. Surkan, 2022. "Salinity and food security in southwest coastal Bangladesh: impacts on household food production and strategies for adaptation," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 14(1), pages 229-248, February.
    11. Catherine E. Finkenbiner & Stephen P. Good & J. Renée Brooks & Scott T. Allen & Salini Sasidharan, 2022. "The extent to which soil hydraulics can explain ecohydrological separation," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
    12. Jiaxin Wang & Mingjun Zhang & Athanassios A. Argiriou & Shengjie Wang & Deye Qu & Yu Zhang & Pengyan Su, 2021. "Recharge and Infiltration Mechanisms of Soil Water in the Floodplain Revealed by Water-Stable Isotopes in the Upper Yellow River," Sustainability, MDPI, vol. 13(16), pages 1-18, August.
    13. Chen, Zhixue & Wang, Guohui & Yang, Xianlong & Li, Zhenfeng & Shen, Yuying, 2023. "Water competition among the coexisting Platycladus orientalis, Prunus davidiana and Medicago sativa in a semi-arid agroforestry system," Agricultural Water Management, Elsevier, vol. 279(C).
    14. Asian Development Bank Institute, 2017. "Bangladesh: Consolidating Export-led Growth - Country Diagnostic Study," Working Papers id:11765, eSocialSciences.
    15. Zhang, Zhongdian & Huang, Mingbin, 2021. "Effect of root-zone vertical soil moisture heterogeneity on water transport safety in soil-plant-atmosphere continuum in Robinia pseudoacacia," Agricultural Water Management, Elsevier, vol. 246(C).
    16. Soyoung Park & Se-Yeong Hamm & Hang-Tak Jeon & Jinsoo Kim, 2017. "Evaluation of Logistic Regression and Multivariate Adaptive Regression Spline Models for Groundwater Potential Mapping Using R and GIS," Sustainability, MDPI, vol. 9(7), pages 1-20, July.

    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:gam:jsusta:v:14:y:2022:i:11:p:6667-:d:827581. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.