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Optimum Abstraction of Groundwater for Sustaining Groundwater Level and Reducing Irrigation Cost

Author

Listed:
  • Golam Saleh Ahmed Salem

    (Tohoku University)

  • So Kazama

    (Tohoku University)

  • Daisuke Komori

    (Tohoku University)

  • Shamsuddin Shahid

    (Universiti Teknologi Malaysia)

  • Nepal C. Dey

    (Bangladesh Rural Advancement Committee)

Abstract

Adaptation to increasing irrigation cost due to declination of groundwater level is a major challenge in groundwater dependent irrigated region. The objective of this study is to estimate the optimum abstraction of groundwater for irrigation for sustainable management of groundwater resources in Northwest Bangladesh. A data-driven model using a support vector machine (SVM) has been developed to estimate the optimum abstraction of groundwater for irrigation and a multiple-linear regression (MLR)-based model has been developed to estimate the reduction of the irrigation cost due to the elevation of the groundwater level. The application of the SVM model revealed that the groundwater level in the area can be kept within the suction lift of a shallow tube-well by reducing pre-monsoon groundwater-dependent irrigated agriculture by 40%. Adaptive measures, such as reducing the overuse of water for irrigation and rescheduling harvesting, can keep the minimum level of groundwater within the reach of shallow tube-wells by reducing only 10% of groundwater-based irrigated agriculture. The elevation of the groundwater level through those adaptive measures can reduce the irrigation cost by 2.07 × 103 Bangladesh Taka (BDT) per hectare in Northwest Bangladesh, where the crop production cost is increasing due to the decline of the groundwater level. It is expected that the study would help in policy planning for the sustainable management of groundwater resources in the region.

Suggested Citation

  • Golam Saleh Ahmed Salem & So Kazama & Daisuke Komori & Shamsuddin Shahid & Nepal C. Dey, 2017. "Optimum Abstraction of Groundwater for Sustaining Groundwater Level and Reducing Irrigation Cost," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(6), pages 1947-1959, April.
    • Handle: RePEc:spr:waterr:v:31:y:2017:i:6:d:10.1007_s11269-017-1623-8
    DOI: 10.1007/s11269-017-1623-8
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    References listed on IDEAS

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    1. Liu, Ruimin & Zhang, Peipei & Wang, Xiujuan & Chen, Yaxin & Shen, Zhenyao, 2013. "Assessment of effects of best management practices on agricultural non-point source pollution in Xiangxi River watershed," Agricultural Water Management, Elsevier, vol. 117(C), pages 9-18.
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    1. Salem, Golam Saleh Ahmed & Kazama, So & Shahid, Shamsuddin & Dey, Nepal C., 2018. "Impacts of climate change on groundwater level and irrigation cost in a groundwater dependent irrigated region," Agricultural Water Management, Elsevier, vol. 208(C), pages 33-42.
    2. Sumaiya Jarin Ahammed & Eun-Sung Chung & Shamsuddin Shahid, 2018. "Parametric Assessment of Pre-Monsoon Agricultural Water Scarcity in Bangladesh," Sustainability, MDPI, vol. 10(3), pages 1-18, March.
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    4. Sanaz Moghim, 2020. "Assessment of Water Storage Changes Using GRACE and GLDAS," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(2), pages 685-697, January.
    5. Saleem A. Salman & Shamsuddin Shahid & Haitham Abdulmohsin Afan & Mohammed Sanusi Shiru & Nadhir Al-Ansari & Zaher Mundher Yaseen, 2020. "Changes in Climatic Water Availability and Crop Water Demand for Iraq Region," Sustainability, MDPI, vol. 12(8), pages 1-20, April.
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    7. Jalilov, Shokhrukh-Mirzo & Rahman, Wakilur & Palash, Salauddin & Jahan, Hasneen & Mainuddin, Mohammed & Ward, Frank A., 2022. "Exploring strategies to control the cost of food security: Evidence from Bangladesh," Agricultural Systems, Elsevier, vol. 196(C).

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