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Estimation of Groundwater Recharge from the Rainfall and Irrigation in an Arid Environment Using Inverse Modeling Approach and RS

Author

Listed:
  • Hydar Ebrahimi

    (University of Kashan)

  • Reza Ghazavi

    (University of Kashan)

  • Haji Karimi

    (University of Ilam)

Abstract

Quantifying recharge from agricultural areas is important to sustain long-term groundwater use, make intelligent groundwater allocation decisions, and develop on-farm water management strategies. The scarcity of data in many arid regions, especially in the Middle East, has necessitated the use of combined mathematical models and field observations to estimate groundwater recharge. This study was designed to assess the recharge contribution to groundwater from rainfall and irrigation return flow in the Mosian plain, west of Iran. The Inverse modeling approach and remote sensing technology (RS) were used to quantify the groundwater recharge. The recharge for steady–state conditions was estimated using the Recharge Package of MODFLOW. The land-use map for the research area was produced using remote sensing and satellite images technology. According to results, groundwater recharge from the rainfall and irrigation return flow was at the rate of 0.15 mm/day. The recharge to the groundwater from rainfall was about 0.08 mm/day (10.8 % of total rainfall). The average of groundwater recharge contribution in the study area was about 0.39 mm/day that include 15.2 % of the total water used in the irrigated fields. We can conclude that irrigation water is the most important resource of groundwater recharge in this area, consequently, it should be integrated into relevant hydrological models as the main source of groundwater recharge.

Suggested Citation

  • Hydar Ebrahimi & Reza Ghazavi & Haji Karimi, 2016. "Estimation of Groundwater Recharge from the Rainfall and Irrigation in an Arid Environment Using Inverse Modeling Approach and RS," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(6), pages 1939-1951, April.
    • Handle: RePEc:spr:waterr:v:30:y:2016:i:6:d:10.1007_s11269-016-1261-6
    DOI: 10.1007/s11269-016-1261-6
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    3. Bisrat Ayalew Yifru & Il-Moon Chung & Min-Gyu Kim & Sun Woo Chang, 2020. "Assessment of Groundwater Recharge in Agro-Urban Watersheds Using Integrated SWAT-MODFLOW Model," Sustainability, MDPI, vol. 12(16), pages 1-18, August.
    4. Fabiana Natali & Giacomo Branca, 2020. "On positive externalities from irrigated agriculture and their policy implications: An overview," Economia agro-alimentare, FrancoAngeli Editore, vol. 22(2), pages 1-25.
    5. José Luis Uc Castillo & José Alfredo Ramos Leal & Diego Armando Martínez Cruz & Adrián Cervantes Martínez & Ana Elizabeth Marín Celestino, 2021. "Identification of the Dominant Factors in Groundwater Recharge Process, Using Multivariate Statistical Approaches in a Semi-Arid Region," Sustainability, MDPI, vol. 13(20), pages 1-21, October.
    6. Tulip, Shibli Sadik & Siddik, Md Sifat & Islam, Md. Nazrul & Rahman, Atikur & Torabi Haghighi, Ali & Mustafa, Syed Md Touhidul, 2022. "The impact of irrigation return flow on seasonal groundwater recharge in northwestern Bangladesh," Agricultural Water Management, Elsevier, vol. 266(C).
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