IDEAS home Printed from https://ideas.repec.org/p/ags/ugidic/159226.html
   My bibliography  Save this paper

Estimation of phreatic evaporation in irrigation agriculture using stable isotopes

Author

Listed:
  • Umirzakov, Gulomjon
  • Barthold, F.
  • Schneider, K.
  • Forkutsa, I.
  • Breuer, L.
  • Stulina, G.
  • Dukhovny, V.
  • Frede, H.-G.

Abstract

Agriculture in the Aral Sea basin is the main consumer of water resources and due to the current agricultural management practices inefficient water usage causes huge losses of freshwater resources. There is huge potential to save water resources in order to reach a more efficient water use in irrigated areas. Therefore, research is required to reveal the mechanisms of hydrological fluxes in irrigated areas. This paper focuses on estimation of one of the crucial components in the water balance of irrigated areas - phreatic evaporation (Ep), i.e. evaporation from (shallow) groundwater - using stable isotopes of water. Our main objective was to estimate the rate of phreatic evaporation on sites with different soil texture and ground water tables (GWT) and investigate the relationship between these environmental parameters and the Ep rate. Soil samples were collected in various soil depths from irrigated areas in Ferghana Valley (Uzbekistan). The soil water from these samples was extracted via a cryogenic extraction method and analyzed for the isotopic ratio of the water isotopes (2H and 18O) based on a laser spectroscopy method (DLT 100, Los Gatos USA). A total of 18 soil profiles in fields under cotton have been analyzed. Estimations of phreatic evaporation rates were evaluated in dependence of soil texture and groundwater table. Annual amounts of water losses via phreatic evaporation were calculated between 104 to 349 mm, accounting for 35.1 % of mean irrigation water. Ep rates significantly increase with decreasing depth to GWT. There also exist difference of Ep rate between different soil texture classes with lower rates on sandy and loamy soils as and higher rates on clay. We conclude that site specific groundwater level managing can reduce phreatic losses substantially, providing an efficient and easy adaptable way to improve irrigation and leaching practices.

Suggested Citation

  • Umirzakov, Gulomjon & Barthold, F. & Schneider, K. & Forkutsa, I. & Breuer, L. & Stulina, G. & Dukhovny, V. & Frede, H.-G., 2013. "Estimation of phreatic evaporation in irrigation agriculture using stable isotopes," International Conference and Young Researchers Forum - Natural Resource Use in Central Asia: Institutional Challenges and the Contribution of Capacity Building 159226, University of Giessen (JLU Giessen), Center for International Development and Environmental Research.
  • Handle: RePEc:ags:ugidic:159226
    DOI: 10.22004/ag.econ.159226
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/159226/files/Umirzakov2013.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.159226?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
    ---><---

    References listed on IDEAS

    as
    1. Ibrakhimov, Mirzakhayot & Martius, Christopher & Lamers, J.P.A. & Tischbein, Bernhard, 2011. "The dynamics of groundwater table and salinity over 17 years in Khorezm," Agricultural Water Management, Elsevier, vol. 101(1), pages 52-61.
    2. Horst, M.G. & Shamutalov, S.S. & Pereira, L.S. & Goncalves, J.M., 2005. "Field assessment of the water saving potential with furrow irrigation in Fergana, Aral Sea basin," Agricultural Water Management, Elsevier, vol. 77(1-3), pages 210-231, August.
    3. Stulina, G. & Cameira, M.R. & Pereira, L.S., 2005. "Using RZWQM to search improved practices for irrigated maize in Fergana, Uzbekistan," Agricultural Water Management, Elsevier, vol. 77(1-3), pages 263-281, August.
    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. Kenjabaev, Shavkat & Forkutsa, I. & Bach, M. & Frede, H.-G., 2013. "Performance evaluation of the BUDGET model in simulating cotton and wheat yield and soil moisture in Fergana valley," International Conference and Young Researchers Forum - Natural Resource Use in Central Asia: Institutional Challenges and the Contribution of Capacity Building 159114, University of Giessen (JLU Giessen), Center for International Development and Environmental Research.
    2. Fortes, P.S. & Platonov, A.E. & Pereira, L.S., 2005. "GISAREG--A GIS based irrigation scheduling simulation model to support improved water use," Agricultural Water Management, Elsevier, vol. 77(1-3), pages 159-179, August.
    3. Utset, Angel & Velicia, Herminio & del Rio, Blanca & Morillo, Rodrigo & Centeno, Jose Antonio & Martinez, Juan Carlos, 2007. "Calibrating and validating an agrohydrological model to simulate sugarbeet water use under mediterranean conditions," Agricultural Water Management, Elsevier, vol. 94(1-3), pages 11-21, December.
    4. Usman Awan & Bernhard Tischbein & Christopher Conrad & Christopher Martius & Mohsin Hafeez, 2011. "Remote Sensing and Hydrological Measurements for Irrigation Performance Assessments in a Water User Association in the Lower Amu Darya River Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(10), pages 2467-2485, August.
    5. Darouich, Hanaa & Gonçalves, José M. & Muga, André & Pereira, Luis S., 2012. "Water saving vs. farm economics in cotton surface irrigation: An application of multicriteria analysis," Agricultural Water Management, Elsevier, vol. 115(C), pages 223-231.
    6. Wei, Jun & Cui, Yuanlai & Zhou, Sihang & Luo, Yufeng, 2022. "Regional water-saving potential calculation method for paddy rice based on remote sensing," Agricultural Water Management, Elsevier, vol. 267(C).
    7. Popova, Zornitsa & Pereira, Luis S., 2011. "Modelling for maize irrigation scheduling using long term experimental data from Plovdiv region, Bulgaria," Agricultural Water Management, Elsevier, vol. 98(4), pages 675-683, February.
    8. Nie, Wei-Bo & Dong, Shu-Xin & Li, Yi-Bo & Ma, Xiao-Yi, 2021. "Optimization of the border size on the irrigation district scale – Example of the Hetao irrigation district," Agricultural Water Management, Elsevier, vol. 248(C).
    9. Hongfang Li & Jian Wang & Hu Liu & Zhanmin Wei & Henglu Miao, 2022. "Quantitative Analysis of Temporal and Spatial Variations of Soil Salinization and Groundwater Depth along the Yellow River Saline–Alkali Land," Sustainability, MDPI, vol. 14(12), pages 1-13, June.
    10. Guanfang Sun & Yan Zhu & Zhaoliang Gao & Jinzhong Yang & Zhongyi Qu & Wei Mao & Jingwei Wu, 2022. "Spatiotemporal Patterns and Key Driving Factors of Soil Salinity in Dry and Wet Years in an Arid Agricultural Area with Shallow Groundwater Table," Agriculture, MDPI, vol. 12(8), pages 1-17, August.
    11. Wu, Yao & Liu, Tingxi & Paredes, Paula & Duan, Limin & Pereira, Luis S., 2015. "Water use by a groundwater dependent maize in a semi-arid region of Inner Mongolia: Evapotranspiration partitioning and capillary rise," Agricultural Water Management, Elsevier, vol. 152(C), pages 222-232.
    12. Wang, Xiangping & Huang, Guanhua, 2008. "Evaluation on the irrigation and fertilization management practices under the application of treated sewage water in Beijing, China," Agricultural Water Management, Elsevier, vol. 95(9), pages 1011-1027, September.
    13. Webber, H.A. & Madramootoo, C.A. & Bourgault, M. & Horst, M.G. & Stulina, G. & Smith, D.L., 2006. "Water use efficiency of common bean and green gram grown using alternate furrow and deficit irrigation," Agricultural Water Management, Elsevier, vol. 86(3), pages 259-268, December.
    14. Bekchanov, Maksud & Ringler, C. & Bhaduri, A. & Jeuland, M., "undated". "How would the Rogun Dam affect water and energy scarcity in Central Asia?," Papers published in Journals (Open Access) H047222, International Water Management Institute.
    15. Reddy, J. Mohan & Jumaboev, K. & Matyakubov, B. & Eshmuratov, D., 2013. "Evaluation of furrow irrigation practices in Fergana Valley of Uzbekistan," Agricultural Water Management, Elsevier, vol. 117(C), pages 133-144.
    16. Dong, Shide & Wan, Shuqin & Kang, Yaohu & Li, Xiaobin, 2021. "Establishing an ecological forest system of salt-tolerant plants in heavily saline wasteland using the drip-irrigation reclamation method," Agricultural Water Management, Elsevier, vol. 245(C).
    17. Pereira, L.S. & Paredes, P. & Sholpankulov, E.D. & Inchenkova, O.P. & Teodoro, P.R. & Horst, M.G., 2009. "Irrigation scheduling strategies for cotton to cope with water scarcity in the Fergana Valley, Central Asia," Agricultural Water Management, Elsevier, vol. 96(5), pages 723-735, May.
    18. Mirshadiev, Mirzokhid & Fleskens, Luuk & van Dam, Jos & Pulatov, Alim, 2018. "Scoping of promising land management and water use practices in the dry areas of Uzbekistan," Agricultural Water Management, Elsevier, vol. 207(C), pages 15-25.
    19. Mohammadi, Adel & Besharat, Sina & Abbasi, Fariborz, 2019. "Effects of irrigation and fertilization management on reducing nitrogen losses and increasing corn yield under furrow irrigation," Agricultural Water Management, Elsevier, vol. 213(C), pages 1116-1129.
    20. Siyal, A.A. & Mashori, A.S. & Bristow, K.L. & van Genuchten, M.Th., 2016. "Alternate furrow irrigation can radically improve water productivity of okra," Agricultural Water Management, Elsevier, vol. 173(C), pages 55-60.

    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:ags:ugidic:159226. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/zegiede.html .

    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.