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Estimating evapotranspiration using METRIC model and Landsat data for better understandings of regional hydrology in the western Urmia Lake Basin

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  • Tasumi, Masahiro

Abstract

This study estimates the evapotranspiration (ET) from the western part of Urmia Lake Basin, Iran, to provide quality spatio-temporal evapotranspiration information for use in achieving regional sustainable water management. A “mapping evapotranspiration with internalized calibration” (METRIC) ET estimation model was adopted to estimate monthly ET for the period between 2014–2016 using Landsat 8 satellite imagery. Several refinements are made to adjust the model to the local environment. The refinements include estimating evaporation from the saline lake, correction of the underestimation of city surface temperature through the modification of thermal emissivity, as well as modifications of minor assumptions applied in METRIC. The estimation results for ET obtained using METRIC were compared with independent estimation of ET using the FAO-56 approach in order to assess the estimation accuracy. The comparison showed good correlation between the two types of estimation results for irrigated agriculture, implying successful estimation of ET in this region. ET estimated in non-irrigated bare soil fields was prone to overestimation. The novelty of this study lies in the fact that this is the first ET data for this basin with 100 m spatio-temporal resolution and accuracy information. Therefore, the estimation procedure and results are expected to contribute to a better understanding of the regional hydrology. This is necessary both for the restoration of Urmia Lake and for achieving sustainable water management in the region.

Suggested Citation

  • Tasumi, Masahiro, 2019. "Estimating evapotranspiration using METRIC model and Landsat data for better understandings of regional hydrology in the western Urmia Lake Basin," Agricultural Water Management, Elsevier, vol. 226(C).
    • Handle: RePEc:eee:agiwat:v:226:y:2019:i:c:s0378377419301180
    DOI: 10.1016/j.agwat.2019.105805
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    References listed on IDEAS

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    1. Elmira Hassanzadeh & Mahdi Zarghami & Yousef Hassanzadeh, 2012. "Determining the Main Factors in Declining the Urmia Lake Level by Using System Dynamics Modeling," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(1), pages 129-145, January.
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    1. Parsinejad, Masoud & Raja, Omid & Chehrenegar, Behdad, 2022. "Practical analysis of remote sensing estimations of water use for major crops throughout the Urmia Lake basin," Agricultural Water Management, Elsevier, vol. 260(C).
    2. Xiang, Keyu & Li, Yi & Horton, Robert & Feng, Hao, 2020. "Similarity and difference of potential evapotranspiration and reference crop evapotranspiration – a review," Agricultural Water Management, Elsevier, vol. 232(C).
    3. Cunha, Angélica Carvalho & Filho, Luís Roberto Almeida Gabriel & Tanaka, Adriana Aki & Goes, Bruno Cesar & Putti, Fernando Ferrari, 2021. "Influence Of The Estimated Global Solar Radiation On The Reference Evapotranspiration Obtained Through The Penman-Monteith Fao 56 Method," Agricultural Water Management, Elsevier, vol. 243(C).
    4. Barideh, Rahman & Nasimi, Fereshteh, 2022. "Investigating the changes in agricultural land use and actual evapotranspiration of the Urmia Lake basin based on FAO’s WaPOR database," Agricultural Water Management, Elsevier, vol. 264(C).
    5. Elfarkh, Jamal & Simonneaux, Vincent & Jarlan, Lionel & Ezzahar, Jamal & Boulet, Gilles & Chakir, Adnane & Er-Raki, Salah, 2022. "Evapotranspiration estimates in a traditional irrigated area in semi-arid Mediterranean. Comparison of four remote sensing-based models," Agricultural Water Management, Elsevier, vol. 270(C).
    6. Amazirh, Abdelhakim & Er-Raki, Salah & Ojha, Nitu & Bouras, El houssaine & Rivalland, Vincent & Merlin, Olivier & Chehbouni, Abdelghani, 2022. "Assimilation of SMAP disaggregated soil moisture and Landsat land surface temperature to improve FAO-56 estimates of ET in semi-arid regions," Agricultural Water Management, Elsevier, vol. 260(C).

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