Determining the Relationship of Evaporating by the Use of Lewis Dimensionless Number for Water Resources Efficiency in Urban Management

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Asmani Maziar; Bashirnezhad Kazem; Bashi Shahabi Peyman; Zahmatkesh Iman; Abolhasan Alavi Seyed Mahmood

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Journal Paper

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Journal: Geography (Regional Planning) Year:2021 | Volume:11 | Issue:45 Page(s): 916-928

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Title

Determining the Relationship of Evaporating by the Use of Lewis Dimensionless Number for Water Resources Efficiency in Urban Management

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Keywords

Water zonesQ4

Lewis dimensionless equationQ4

EvaporationQ4

experimental methodQ4

urban managementQ4

Abstract

Evaporation is an important factor in water resource management and its accurate measurement can be used as an effective approach to reduce the adverse impacts of drought and protect water resources. Due to the lack of sufficient evaporimeter stations and statistical Evaporation data, different experimental methods for Evaporation estimation from the free surface of a liquid were proposed by various researchers. In addition to correcting the measured Evaporation from the pan, these equations could generate more reliable estimates of Evaporation from Water zones in a short period. This study used the Lewis number (Le) and analyzed a ten-year dataset to propose an equation of Evaporation estimate and compared it with some experimental equations, namely Asmani-Bashirnejad-Shahabi 1, Jensen-Haze, Stephens-Stewart, and Hamoon. The results indicated that the proposed equation could overcome the weaknesses of previous experimental equations and correct its major difference with them. The analysis of results was done using statistical parameters and all parameters confirmed that the proposed equation was optimal. The MAPE, MSE, MAD, RMSE, and correlation coefficient (R) of the proposed equation were, respectively, 139. 959, 107. 406, 19588. 615, 4. 615, and 0. 42, indicating higher reliability of the proposed method than other four experimental equations. A noteworthy point in the results is the use of Lewis dimensionless number, which not only is easy to use but also provides a unique prediction compared to other methods.

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