Validation of Selected Models for Evaporation Estimation from Reservoirs Located in Arid and Semi-Arid Regions

Benzaghta, Mostafa Ali; Mohammed, Thamer Ahmed; Ghazali, Abdul Halim; Soom, Mohd Amin Mohd

doi:10.1007/s13369-012-0194-5

Cited by 12 publications

(3 citation statements)

References 33 publications

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“…In recent years, numerous methods and experimental relationships have been developed for indirectly simulating evaporation [9,10]. Over the years, various studies have sought to identify linear experimental relationships [11][12][13] and non-linear experimental relationships [14][15][16][17][18][19][20] as indirect methods to simulate evaporation from free water surfaces. Some of these experimental relationships are listed in Table S1 in Supplementary Material (SM).…”

Section: Introductionmentioning

confidence: 99%

Two Comprehensive and Practical Methods for Simulating Pan Evaporation under Different Climatic Conditions in Iran

Dehghanipour

Karami

Ghazvinian

et al. 2021

Water

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Evaporation from surface water plays a crucial role in water accounting of basins, water resource management, and irrigation systems management. As such, the simulation of evaporation with high accuracy is very important. In this study, two methods for simulating pan evaporation under different climatic conditions in Iran were developed. In the first method, six experimental relationships (linear, quadratic, and cubic, with two input combinations) were determined for Iran’s six climate types, inspired by a multilayer perceptron neural network (MLP-NN) neuron and optimized with the genetic algorithm. The best relationship of the six was selected for each climate type, and the results were presented in a three-dimensional graph. The best overall relationship obtained in the first method was used as the basic relationship in the second method, and climatic correction coefficients were determined for other climate types using the genetic algorithm optimization model. Finally, the accuracy of the two methods was validated using data from 32 synoptic weather stations throughout Iran. For the first method, error tolerance diagrams and statistical coefficients showed that a quadratic experimental relationship performed best under all climatic conditions. To simplify the method, two graphs were created based on the quadratic relationship for the different climate types, with the axes of the graphs showing relative humidity and temperature, and with pan evaporation, were drawn as contours. For the second method, the quadratic relationship for semi-dry conditions was selected as the basic relationship. The estimated climatic correction coefficients for other climate types lay between 0.8 and 1 for dry, semi-dry, semi-humid, Mediterranean climates, and between 0.4 and 0.6 for humid and very humid climates, indicating that one single relationship cannot be used to simulate pan evaporation for all climatic conditions in Iran. The validation results confirmed the accuracy of the two methods in simulating pan evaporation under different climatic conditions in Iran.

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Section: Introductionmentioning

confidence: 99%

Two Comprehensive and Practical Methods for Simulating Pan Evaporation under Different Climatic Conditions in Iran

Dehghanipour

Karami

Ghazvinian

et al. 2021

Water

View full text Add to dashboard Cite

show abstract

“…In West Africa, the construction of reservoirs is found to be a sound strategy in assisting people to adapt to climate change, to increase water storage capacities, regulate water flows, contribute to food security, increase livelihood resilience, and maintain or/and improve wetland ecosystem functions and services [ 4 , [6] , [7] , [8] ]. Water storage is an important tool for resilience [ 9 ] but reservoirs as an important human activity also affect runoff [ 10 ], environment, public health [ 11 ] and lead to water loss by evaporation [ [12] , [13] , [14] ].…”

Section: Introductionmentioning

confidence: 99%

Spatial distribution of water reservoirs in the Sota catchment (Benin, West Africa) and implications for local development

Sambieni¹,

Hountondji²,

Sintondji³

et al. 2023

Heliyon

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“…In recent years, numerous methods and experimental relationships have been developed for indirectly simulating evaporation (Alazard et al, 2015;Armstrong et al, 2019). Over the years, various studies have sought to identify linear experimental relationships (Harbeck, 1958;Marciano and Harbeck, 1952;Meyer, 1942) and nonlinear experimental relationships (Althoff et al, 2020;Benzaghta et al, 2012;Eray et al, 2018;Guven and Kişi, 2011;Hernández-Pérez et al, 2020;Izady et al, 2016;Kim and Kim, 2008) as indirect methods to simulate evaporation from free water surfaces. Some of these experimental relationships are listed in Table S1 in Supplementary Material (SM).…”

Section: Introductionmentioning

confidence: 99%

Two Comprehensive and Practical Methods for Simulating Pan Evaporation Under Different Climatic Conditions in Iran

Dehghanipour¹,

Karami²,

Ghazvinian³

et al. 2021

Preprint

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Evaporation from surface water plays a key role in water accounting of basins, water resources management, and irrigation systems management, so simulating evaporation with high accuracy is very important. In this study, two methods for simulating pan evaporation under different climatic conditions in Iran were developed. In the first method, six experimental relationships (linear, quadratic, and cubic, with two input combinations) were determined for Iran’s six climate types, inspired by a multilayer perceptron neural network (MLP-NN) neuron and optimized with the genetic algorithm. The best relationship of the six was selected for each climate type, and the results were presented in a three-dimensional graph. In the second method, the best overall relationship obtained in the first method was used as the basic relationship, and climatic correction coefficients were determined for other climate types using the genetic algorithm optimization model. Finally, the accuracy of the two methods was validated using data from 32 synoptic weather stations throughout Iran. For the first method, error tolerance diagrams and statistical coefficients showed that a quadratic experimental relationship performed best under all climatic conditions. To simplify the method, two graphs were created based on the quadratic relationship for the different climate types, with the axes of the graphs showing relative humidity and temperature, and with pan evaporation was drawn as contours. For the second method, the quadratic relationship for semi-dry conditions was selected as the basic relationship. The estimated climatic correction coefficients for other climate types lay between 0.8 and 1 for dry, semi-dry, semi-humid, Mediterranean climates, and between 0.4 and 0.6 for humid and very humid climates, indicating that one single relationship cannot be used to simulate pan evaporation for all climatic conditions in Iran. The validation results confirmed the accuracy of the two methods in simulating pan evaporation under different climatic conditions in Iran.

show abstract

Validation of Selected Models for Evaporation Estimation from Reservoirs Located in Arid and Semi-Arid Regions

Cited by 12 publications

References 33 publications

Two Comprehensive and Practical Methods for Simulating Pan Evaporation under Different Climatic Conditions in Iran

Two Comprehensive and Practical Methods for Simulating Pan Evaporation under Different Climatic Conditions in Iran

Spatial distribution of water reservoirs in the Sota catchment (Benin, West Africa) and implications for local development

Two Comprehensive and Practical Methods for Simulating Pan Evaporation Under Different Climatic Conditions in Iran

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