Almedeij Jaber
Civil Engineering Department, Kuwait University, P.O. Box 5969, 13060 Safat, Kuwait.
ScientificWorldJournal. 2012;2012:574742. doi: 10.1100/2012/574742. Epub 2012 Nov 22.
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.
蒸发是许多与水文和水资源系统相关项目的一个重要参数。本文是在科威特进行的首次研究,旨在获取根据温度、相对湿度和风速等可用气象数据估算日蒸发量和月蒸发量的经验关系。这里用于建模的数据是1993年1月至2009年12月期间17年的具有充分连续性覆盖的日测量数据,这些数据可被视为该国城市地区沙漠气候的代表。采用多元线性回归技术并通过变量选择程序来拟合最佳模型形式。为了分别利用幂函数和指数函数使数据现有的曲线模式线性化,还对蒸发量与温度和相对湿度的相关性进行了转换。所提出的具有最佳变量组合的蒸发模型显示其结果与观测值具有合理的一致性。