Estimating the potential evapo-transpiration and crop coefficient from climatic data in Middle Delta of Egypt

El-Nashar, Walaa Y.; Hussien, E.A. Abu

doi:10.1016/j.aej.2012.12.001

Cited by 4 publications

(2 citation statements)

References 15 publications

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“…However, the calibration of FAO-Blaney-Criddle parameters by the use of meteorological data in the corresponding region is important as they differ from location to location [10]. In addition, the Blaney-Criddle approach has been updated to suit the environment [11,12].…”

Section: Introductionmentioning

confidence: 99%

Estimating FAO Blaney-Criddle b-Factor Using Soft Computing Models

et al. 2022

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FAO Blaney-Criddle has been generally an accepted method for estimating reference crop evapotranspiration. In this regard, it is inevitable to estimate the b-factor provided by the Food and Agriculture Organization (FAO) of the United Nations Irrigation and Drainage Paper number 24. In this study, five soft computing methods, namely random forest (RF), M5 model tree (M5), support vector regression with the polynomial function (SVR-poly), support vector regression with radial basis function kernel (SVR-rbf), and random tree (RT), were adapted to estimate the b-factor. And Their performances were also compared. The suitable hyper-parameters for each soft computing method were investigated. Five statistical indices were deployed to evaluate their performance, i.e., the coefficient of determination (r2), the mean absolute relative error (MARE), the maximum absolute relative error (MXARE), the standard deviation of the absolute relative error (DEV), and the number of samples with an error greater than 2% (NE > 2%). Findings reveal that SVR-rbf gave the highest performance among five soft computing models, followed by the M5, RF, SVR-poly, and RT. The M5 also derived a new explicit equation for b estimation. SVR-rbf provided a bit lower efficacy than the radial basis function network but outperformed the regression equations. Models’ Applicability for estimating monthly reference evapotranspiration (ETo) was demonstrated.

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Section: Introductionmentioning

confidence: 99%

Estimating FAO Blaney-Criddle b-Factor Using Soft Computing Models

et al. 2022

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“…To get the monthly average values of evapotranspiration, the equation developed by Blaney and Criddle (1962) is used. The equation is the most frequent and extensively used particularly in dry and semi-arid regions as well as in areas with a lack of data (Espadafor et al, 2011;El-Nashar and Hussien, 2013;Valipour et al, 2017). In this study, the irrigation water demand was estimated by combining data collected from the regional development office (ORMVASM) on the perimeter crops, the types of crops and the calculated evapotranspiration.…”

Section: Irrigation Demandmentioning

confidence: 99%

Understanding the trade-offs between climate change-induced aridity and agricultural water demand in the Souss basin, Morocco

Attar,

Brouziyne,

Bouchaou

et al. 2024

Front. Water

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The concept of integrated water resource management requires an in-depth analysis of water inflows into a river basin. Population growth and the uncertainties associated with climate change are causing increased water stress and droughts, which are impacting agriculture. Hence the need for studies on the impact of climate change on demand-supply interactions in river basins. In this study, a generic decision support system, ModSim, was used; for the first time in the region; to examine the agricultural water usage and demands over Souss basin in Morocco. ModSim was calibrated over the period from 1990 to 2019 using recorded data about physical processes and hydraulic infrastructures features and management. The simulations succeeded in replicating different deficit episodes at the various irrigated perimeters. During the simulated period from 2012 to 2019, it was observed that the water supplies for the different dams in the basin experienced a decline ranging from 38% to 89%. As a result, the average total unmet demand for surface water from reservoirs in irrigated areas reached 201 mm3 between 1990 and 2019 and the monthly average demand increases by 55% in the dry season, compared to the demands in the rest of the year. The significant amount of unmet demand across all sites suggests that demands are satisfied by the withdrawal of water from groundwater resources. The adopted approach has proven to be a useful decision support tool to understand water resources planning challenges. Water managers require such reliable tools to represent the basin's water trade-offs. Thus, additional investigation to improve the representation of groundwater/surface water interaction approaches is required to enhance the evaluation of the consequences of different uses, especially in arid and semi-arid regions with significant water stress such as Souss. A conceptual framework as well as a detailed discussion have been produced in order to guide efficient water management and governance.

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The Performance of Satellite-Based Actual Evapotranspiration Products and the Assessment of Irrigation Efficiency in Egypt

Ayyad

Zayed

et al. 2019

Water

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Monitoring of crop water consumption, also known as actual evapotranspiration (ETa), is crucial for the prudent use of limited freshwater resources. Remote-sensing-based algorithms have become a popular approach for providing spatio-temporal information on ETa. Satellite-based ETa products are widely available. However, identifying an adequate product remains a challenge due to validation data scarcity. This study developed an assessment process to identify superior ETa products in agricultural areas in Egypt. The land cover product (MCD12Q1) from Moderate Resolution Imaging Spectroradiometer (MODIS) was evaluated and used to detect agricultural areas. The performances of three ETa products, namely: Earth Engine Evapotranspiration Flux (EEFlux), USGS-FEWS NET SSEBop ETa monthly product, and MODIS ETa monthly product (MOD16A2), were evaluated. The ETa values of these products were compared to previous ETa observations and evaluated using the integrated Normalized Difference Vegetation Index (iNDVI) on a seasonal and annual basis. Finally, the irrigation efficiency throughout Egypt was calculated based on the annual Relative Water Supply (RWS) index. Results reveal that the SSEBop monthly product has the best performance in Egypt, followed by the MOD16A2. The EEFlux overestimated ETa values by 36%. RWS had a range of 0.96–1.47, indicating high irrigation efficiency. The findings reported herein can assist in improving irrigation water management in Egypt and the Nile Basin.

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Estimating the potential evapo-transpiration and crop coefficient from climatic data in Middle Delta of Egypt

Cited by 4 publications

References 15 publications

Estimating FAO Blaney-Criddle b-Factor Using Soft Computing Models

Estimating FAO Blaney-Criddle b-Factor Using Soft Computing Models

Understanding the trade-offs between climate change-induced aridity and agricultural water demand in the Souss basin, Morocco

The Performance of Satellite-Based Actual Evapotranspiration Products and the Assessment of Irrigation Efficiency in Egypt

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