IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i23p13111-d688657.html
   My bibliography  Save this article

Satellite-Based Water and Energy Balance Model for the Arid Region to Determine Evapotranspiration: Development and Application

Author

Listed:
  • Ahsan Ali

    (Department of Soils, Water and Agricultural Engineering, Sultan Qaboos University, Muscat P.C. 123, Oman)

  • Yaseen A. Al-Mulla

    (Department of Soils, Water and Agricultural Engineering, Sultan Qaboos University, Muscat P.C. 123, Oman
    Remote Sensing and GIS Research Center, Sultan Qaboos University, Muscat P.C. 123, Oman)

  • Yassine Charabi

    (Centre of Environmental Studies and Research, Sultan Qaboos University, Muscat P.C. 123, Oman)

  • Ghazi Al-Rawas

    (Department of Civil and Architectural Engineering, Sultan Qaboos University, Muscat P.C. 123, Oman)

  • Malik Al-Wardy

    (Department of Soils, Water and Agricultural Engineering, Sultan Qaboos University, Muscat P.C. 123, Oman)

Abstract

Actual evapotranspiration ( ETa ) plays an important role in irrigation planning and supervision. Traditionally, the estimation of ETa was approximated using different in situ techniques, having high initial and maintenance costs with low spatial resolution. In this context, satellite imagery models play an effective role in water management practices by estimating ETa in small and large-scale areas. All existing models have been widely used for the estimation of ETa around the globe, but there is no definite conclusion on which approach is best for the hot and hyper-arid region of Oman. Our study introduces an innovative approach that uses in situ, meteorological, and satellite imagery (Landsat-OLI/TIRS) datasets to estimate ETa . The satellite-based water and energy balance model for the arid region to determine evapotranspiration (SMARET) was developed under the hot and hyper-arid region conditions of Oman by incorporating soil temperature in the sensible heat flux. The performance of SMARET ran through accuracy assessment against in situ measurements via sap flow sensors and lysimeters. The SMARET was also evaluated against three existing models, including the surface energy balance algorithm for land (SEBAL), mapping evapotranspiration at high-resolution with internalized calibration (METRIC), and the Penman–Monteith (PM) model. The study resulted in a significant correlation between SMARET (R 2 = 0.73), as well as the PM model (R 2 = 0.72), and the ETa values calculated from Lysimeter. The SMARET model also showed a significant correlation (R 2 = 0.66) with the ETa values recorded using the sap flow meter. The strong relationship between SMARET, sap flow measurement, and lysimeter observation suggests that SMARET has application capability in hot and hyper-arid regions.

Suggested Citation

  • Ahsan Ali & Yaseen A. Al-Mulla & Yassine Charabi & Ghazi Al-Rawas & Malik Al-Wardy, 2021. "Satellite-Based Water and Energy Balance Model for the Arid Region to Determine Evapotranspiration: Development and Application," Sustainability, MDPI, vol. 13(23), pages 1-22, November.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:23:p:13111-:d:688657
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/23/13111/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/23/13111/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Al Zayed, Islam Sabry & Elagib, Nadir Ahmed & Ribbe, Lars & Heinrich, Jürgen, 2016. "Satellite-based evapotranspiration over Gezira Irrigation Scheme, Sudan: A comparative study," Agricultural Water Management, Elsevier, vol. 177(C), pages 66-76.
    2. Liu, Y. & Teixeira, J. L. & Zhang, H. J. & Pereira, L. S., 1998. "Model validation and crop coefficients for irrigation scheduling in the North China plain," Agricultural Water Management, Elsevier, vol. 36(3), pages 233-246, April.
    3. J. Jed Brown & Probir Das & Mohammad Al-Saidi, 2018. "Sustainable Agriculture in the Arabian/Persian Gulf Region Utilizing Marginal Water Resources: Making the Best of a Bad Situation," Sustainability, MDPI, vol. 10(5), pages 1-16, April.
    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. Pedras, C.M.G. & Pereira, L.S. & Gonalves, J.M., 2009. "MIRRIG: A decision support system for design and evaluation of microirrigation systems," Agricultural Water Management, Elsevier, vol. 96(4), pages 691-701, April.
    2. Parkes, Martin & Jian, Wang & Knowles, Rupert, 2005. "Peak crop coefficient values for Shaanxi, North-west China," Agricultural Water Management, Elsevier, vol. 73(2), pages 149-168, May.
    3. Zhao, Nana & Liu, Yu & Cai, Jiabing & Paredes, Paula & Rosa, Ricardo D. & Pereira, Luis S., 2013. "Dual crop coefficient modelling applied to the winter wheat–summer maize crop sequence in North China Plain: Basal crop coefficients and soil evaporation component," Agricultural Water Management, Elsevier, vol. 117(C), pages 93-105.
    4. Wei, Zheng & Paredes, Paula & Liu, Yu & Chi, Wei Wei & Pereira, Luis S., 2015. "Modelling transpiration, soil evaporation and yield prediction of soybean in North China Plain," Agricultural Water Management, Elsevier, vol. 147(C), pages 43-53.
    5. 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.
    6. Salgado, Ramiro & Mateos, Luciano, 2021. "Evaluation of different methods of estimating ET for the performance assessment of irrigation schemes," Agricultural Water Management, Elsevier, vol. 243(C).
    7. Hamzeh F. Assous & Hazem AL-Najjar & Nadia Al-Rousan & Dania AL-Najjar, 2023. "Developing a Sustainable Machine Learning Model to Predict Crop Yield in the Gulf Countries," Sustainability, MDPI, vol. 15(12), pages 1-21, June.
    8. Pereira, L.S. & Paredes, P. & Hunsaker, D.J. & López-Urrea, R. & Mohammadi Shad, Z., 2021. "Standard single and basal crop coefficients for field crops. Updates and advances to the FAO56 crop water requirements method," Agricultural Water Management, Elsevier, vol. 243(C).
    9. Liu, Meihan & Shi, Haibin & Paredes, Paula & Ramos, Tiago B. & Dai, Liping & Feng, Zhuangzhuang & Pereira, Luis S., 2022. "Estimating and partitioning maize evapotranspiration as affected by salinity using weighing lysimeters and the SIMDualKc model," Agricultural Water Management, Elsevier, vol. 261(C).
    10. Shannak, Sa'd, 2022. "Optimizing dynamics of water-energy-food nexus in a desert climate," Energy Policy, Elsevier, vol. 164(C).
    11. Jawed Mustafa & Fahad Awjah Almehmadi & Saeed Alqaed & Mohsen Sharifpur, 2022. "Building a Sustainable Energy Community: Design and Integrate Variable Renewable Energy Systems for Rural Communities," Sustainability, MDPI, vol. 14(21), pages 1-21, October.
    12. Gloaguen, Romain M. & Rowland, Diane L. & Brym, Zachary T. & Wilson, Chris. H. & Chun, Hyen Chung & Langham, Ray, 2021. "A METHOD FOR DEVELOPING IRRIGATION DECISION SUPPORT SYSTEMS de novo: EXAMPLE OF SESAME (Sesamum indicum L.) A KNOWN DROUGHT TOLERANT SPECIES," Agricultural Water Management, Elsevier, vol. 243(C).
    13. Abdulaziz I. Almulhim, 2024. "Toward a Greener Future: Applying Circular Economy Principles to Saudi Arabia’s Food Sector for Environmental Sustainability," Sustainability, MDPI, vol. 16(2), pages 1-22, January.
    14. Goncalves, J.M. & Pereira, L.S. & Fang, S.X. & Dong, B., 2007. "Modelling and multicriteria analysis of water saving scenarios for an irrigation district in the upper Yellow River Basin," Agricultural Water Management, Elsevier, vol. 94(1-3), pages 93-108, December.
    15. Hasanov, Fakhri J. & Shannak, Sa'd, 2020. "Electricity incentives for agriculture in Saudi Arabia. Is that relevant to remove them?," Energy Policy, Elsevier, vol. 144(C).
    16. Shang, Songhao & Li, Xichun & Mao, Xiaomin & Lei, Zhidong, 2004. "Simulation of water dynamics and irrigation scheduling for winter wheat and maize in seasonal frost areas," Agricultural Water Management, Elsevier, vol. 68(2), pages 117-133, August.
    17. Zhu, Yuli & Liang, Ji & Yang, Qing & Zhou, Hewen & Peng, Kun, 2019. "Water use of a biomass direct-combustion power generation system in China: A combination of life cycle assessment and water footprint analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 115(C).
    18. Victoria, F.B. & Filho, J.S. Viegas & Pereira, L.S. & Teixeira, J.L. & Lanna, A.E., 2005. "Multi-scale modeling for water resources planning and management in rural basins," Agricultural Water Management, Elsevier, vol. 77(1-3), pages 4-20, August.
    19. Amjad Aliewi & Jasim Al-Kandari & Asim Al-Khalid & Harish Bhandary & Habib Al-Qallaf, 2021. "Modelling the effect of high level of total dissolved solids (TDS) for the sustainable utilization of brackish groundwater from saline aquifers in Kuwait," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(2), pages 2204-2223, February.
    20. Abdul Hameed & Sadiq Hussain & Aysha Rasheed & Muhammad Zaheer Ahmed & Sahar Abbas, 2024. "Exploring the Potentials of Halophytes in Addressing Climate Change-Related Issues: A Synthesis of Their Biological, Environmental, and Socioeconomic Aspects," World, MDPI, vol. 5(1), pages 1-22, January.

    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:13:y:2021:i:23:p:13111-:d:688657. 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.