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Universiti Putra (2017)

Development of GIS-based sebal model for estimation of evapotranspiration in Iraq.

Jaber, Hussein Sabah

Titre : Development of GIS-based sebal model for estimation of evapotranspiration in Iraq.

Auteur : Jaber, Hussein Sabah

Université de soutenance : Universiti Putra

Grade : Doctor of Philosophy (PhD) 2017

Résumé partiel
A change in weather parameters and climate will result in a significant change in evapotranspiration. Iraq suffers from problems such as reduction in water availability and unpredictable climate change that would affect irrigated agriculture and evapotranspiration. Therefore, estimation of evapotranspiration and standardized measurement are important because evapotranspiration (ET) is the means for exploiting irrigation and irrigation is considered as the backbone of the peasant society. Most of the studies in Iraq depend on traditional methods to estimate evapotranspiration. These conventional methods are not practical for large areas because it is difficult and costly. Therefore, this research aims to use remote sensing (satellite imagery data) and GIS as modern technologies to estimate evapotranspiration. In this research, the proposed model has been developed based on equations of SEBAL by using GIS to make a simplified model for estimation of evapotranspiration automatically that leads to a reduction in cost and time and saves effort. Subsequently, the proposed GIS-based SEBAL model was evaluated with field data by using regression coefficient. The area surrounding the Al-Hindiyah barrage has been selected as a study area because it is one of the most significant water resources in the middle part of Iraq. A series of Landsat OLI (Operational Land Imager) satellite images and climate data of the study area have been collected to determine actual evapotranspiration using the GIS-based model. In addition, actual evapotranspiration has been used to assess irrigation performance based on several indicators and to analyze water balance depending on the curve number method in GIS for the study area, respectively. The results indicate that the proposed GIS-based SEBAL model for estimation of actual evapotranspiration has reasonable agreement with the field data based on the values of coefficient of variance( CoV ) equal to (0.75%, 2.2%, 0.68% and% 2.27% ) indicates that the predicted results of the SEBAL model have high accuracy and consistency. The mean value of the SEBAL model was close to 1.0 (0.99, 0.98, 0.99 and 1.01), which indicated a good correlation between the measured and estimated Et. Therefore, the SEBAL model efficiently estimated the Et.

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Page publiée le 16 avril 2020