El-Raies S.A.A., Aboul Defan T.A., El-SiSi S.M. and Taha H.A.A. ( 2018). Some of Weather Phenomena in The Moist Air Near Soil Surface at Ismailia District, Egypt Fayoum J. Agric. Res. & Dev., Vol.3, No, 1, January, 2018
Abstract: The research was conducted at Ismailia Agricultural Research Station, Agric. Res. Central (ARC) to study some of weather phenomena in moist air near soil surface. To achieve this goal, the phenomena measurements of air temperature (T, oC), vapor pressure (VP, kPa) were recorded, which the values of relative humidity (RH %) and saturation vapor pressure (SVP, kPa) were calculated, and dew point temperature (TDP, oC) were recorded as well as may calculate from the weather station of Ismailia Agric. Res. Station.
Air temperature (T, oC) had started to be hot from 7a.m. and the peak at 3p.m. This differed from month to another through the average day hourly (h), during the twelve months of the year. Meanwhile, along the 24 day's hours relative humidity (RH, %) had depressing manner opposite to air temperature depressing trend. However, relative humidity (RH, %) showed depressing with increasing of air temperature (T, oC).
Saturated vapor pressure (SVP, kPa) was high at August and low at December, January and February. This trend was related to air temperature. Vapor pressure (VP,kPa) were low and the depression more or less at 3 p.m. for all months, where at very low at January and February and relatively high at July and August.
The relations between both air temperature (T, oC) and dew point temperature (TDP, oC), along the months of (T- air, oC) values were more than the corresponding values of (TDP, oC). The distance between the rise in (T, oC) and the depression in (TDP, oC) was as far as at ~ 3 p.m. and were more obvious during the months of June, July and August.
The relations between all of SVP (kPa), VP ,(kPa), T-air (oC), RH (%) and TDP (oC) can be represented by mathematical formals in five equations, where they were (1) polynomial, (2) logarithmic, (3) exponential, (4) power and (5) linear.
The better relation of the studied weather formula was polynomial compared with other equations, whereas the regression coefficient ( r ) for polynomial equation at SVP, VP, T, RH, and TDP were 0.83, 0.80, 0.81, 0.77, 0.83, respectively, and the best regression coefficient were for SVP and TDP.
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