Modeling Pan Evaporation for Kuwait by Multiple Linear Regression

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...

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Main Author: Jaber Almedeij
Format: Article
Language:English
Published: Wiley 2012-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1100/2012/574742
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author Jaber Almedeij
author_facet Jaber Almedeij
author_sort Jaber Almedeij
collection DOAJ
description 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.
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institution Kabale University
issn 1537-744X
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publishDate 2012-01-01
publisher Wiley
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series The Scientific World Journal
spelling doaj-art-d1a56c7b7bba403f87deac34ce2cbcb22025-02-03T01:21:49ZengWileyThe Scientific World Journal1537-744X2012-01-01201210.1100/2012/574742574742Modeling Pan Evaporation for Kuwait by Multiple Linear RegressionJaber Almedeij0Civil Engineering Department, Kuwait University, P.O. Box 5969, 13060 Safat, KuwaitEvaporation 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.http://dx.doi.org/10.1100/2012/574742
spellingShingle Jaber Almedeij
Modeling Pan Evaporation for Kuwait by Multiple Linear Regression
The Scientific World Journal
title Modeling Pan Evaporation for Kuwait by Multiple Linear Regression
title_full Modeling Pan Evaporation for Kuwait by Multiple Linear Regression
title_fullStr Modeling Pan Evaporation for Kuwait by Multiple Linear Regression
title_full_unstemmed Modeling Pan Evaporation for Kuwait by Multiple Linear Regression
title_short Modeling Pan Evaporation for Kuwait by Multiple Linear Regression
title_sort modeling pan evaporation for kuwait by multiple linear regression
url http://dx.doi.org/10.1100/2012/574742
work_keys_str_mv AT jaberalmedeij modelingpanevaporationforkuwaitbymultiplelinearregression