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Modeling Pan Evaporation for Kuwait by Multiple Linear Regression
Author
Source
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-11-22
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Natural & Life Sciences (Multidisciplinary)
Medicine
Information Technology and Computer Science
Abstract EN
Evaporation is an important parameter for many projects related to hydrology and water resources systems.
This paper constitutes the first study conducted in Kuwait to obtain empirical relations for the estimation of daily and monthly pan evaporation as functions of available meteorological data of temperature, relative humidity, and wind speed.
The data used here for the modeling are daily measurements of substantial continuity coverage, within a period of 17 years between January 1993 and December 2009, which can be considered representative of the desert climate of the urban zone of the country.
Multiple linear regression technique is used with a procedure of variable selection for fitting the best model forms.
The correlations of evaporation with temperature and relative humidity are also transformed in order to linearize the existing curvilinear patterns of the data by using power and exponential functions, respectively.
The evaporation models suggested with the best variable combinations were shown to produce results that are in a reasonable agreement with observation values.
American Psychological Association (APA)
Almedeij, Jaber. 2012. Modeling Pan Evaporation for Kuwait by Multiple Linear Regression. The Scientific World Journal،Vol. 2012, no. 2012, pp.1-9.
https://search.emarefa.net/detail/BIM-481976
Modern Language Association (MLA)
Almedeij, Jaber. Modeling Pan Evaporation for Kuwait by Multiple Linear Regression. The Scientific World Journal No. 2012 (2012), pp.1-9.
https://search.emarefa.net/detail/BIM-481976
American Medical Association (AMA)
Almedeij, Jaber. Modeling Pan Evaporation for Kuwait by Multiple Linear Regression. The Scientific World Journal. 2012. Vol. 2012, no. 2012, pp.1-9.
https://search.emarefa.net/detail/BIM-481976
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-481976