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

Golam Saleh Ahmed Salem, So Kazama, Daisuke Komori, Shamsuddin Shahid, Nepal C. Dey

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)1947-1959
Number of pages13
JournalWater Resources Management
Volume31
Issue number6
DOIs
Publication statusPublished - 2017 Apr 1

Keywords

  • Adaptation
  • Groundwater based irrigation
  • Groundwater level
  • Northwest Bangladesh

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Water Science and Technology

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