Short term evaporation estimation in a natural semiarid environment: New perspective of the Craig – Gordon isotopic model

Hernández-Pérez, Eliseo; Levresse, Gilles; Carrera-Hernández, J. J.; García, Rocío

doi:10.1016/j.jhydrol.2020.124926

Cited by 12 publications

(3 citation statements)

References 41 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

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“…Accordingly, there is a decrease in wind speed in the wet season. This behavior was also observed in other areas with wet and dry seasons, such as Mexico or Nigeria [65,66]. Therefore, the seasonality of an area is a factor to take into account when conducting this type of research, either to study the distribution of pollutants or particulate matter (PM 2.5 and PM 10) or to determine the suitability when installing wind turbines [67][68][69].…”

Section: Seasonal Wind Behaviormentioning

confidence: 69%

Wind Characteristics and Wind Energy Potential in Andean Towns in Northern Peru between 2016 and 2020: A Case Study of the City of Chachapoyas

et al. 2022

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Currently, climate change and population growth have a significant impact on human beings. Furthermore, these factors are generating a great need for energy to sustain present-day pace of life. For this reason, this research aims to determine the wind potential of the city of Chachapoyas, through the study of wind direction and speed using a wind rose. Data were obtained from the Metrological Station located on the University Campus of the National University Toribio Rodríguez de Mendoza (UNTRM) for developing this diagram. The mentioned station had 15% of missing data, therefore a quality control of the data and multiple imputations was carried out to fill in any missing data. The results obtained show that the winds in this area are mostly weak (from 0 to 3 m/s) with an East-Northeast (ENE) and Northeast (NE) direction for both the studied period and for each year of the period. It has also been determined that there is a difference between the wet and dry seasons in terms of wind frequency. Finally, we conclude that, in the city of Chachapoyas, it is possible to generate wind energy by using low-power vertical axis wind turbines.

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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

Short term evaporation estimation in a natural semiarid environment: New perspective of the Craig – Gordon isotopic model

Cited by 12 publications

References 41 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

Wind Characteristics and Wind Energy Potential in Andean Towns in Northern Peru between 2016 and 2020: A Case Study of the City of Chachapoyas

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

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