Mean Values Of Air Temperature Research Articles

Indoor Thermal Environment Survey in Air-Conditioned Shopping Malls in Hong Kong

This paper reports the results of an indoor environment survey in air-condi tioned shopping malls in Hong Kong. Three key parameters, the indoor air temperature, relative humidity and air speed, were measured in the occupied zone and their mean values were calculated. Subjective feelings of the occu pants and their views on the indoor environment were surveyed by question naires. A subjective system of assessment was used in which the overall per ception of the environment in terms of the mean values of air temperature, air relative humidity and air speeds was expressed by five grades: very comforta ble, comfortable, acceptable, uncomfortable and very uncomfortable. The design and operation of the air-conditioning systems that were installed and the number of occupants staying at the mall were also investigated. In the survey, it was found that the overall perception of the indoor air quality was affected by odours. Furthermore, people in Hong Kong prefer to have higher air speeds to give a feeling of air movement. They feel comfortable in a shop ping mall with a mean air temperature of 20-24 ° C, mean relative air humidi ty of 50-65% and mean air speed of 0.2-0.4 mÚs-1.

Experiments of Conceptual Mathematical Groundwater Dynamics and Runoff Modelling in Latvia

A mathematical model METUL for estimating the daily groundwater level and drainage, surface and subsurface runoff in small areas is described. Input data for the model are daily mean values of air temperature, precipitation and vapour pressure deficit, as well as the occurrence and disappearance of snow cover. Questions about the determination of the model's parameters are discussed, and the results of the model's application to experimental areas in two drainages are analyzed. The model's usefulness in objectively determining the soil water regime of small areas after only short-term groundwater level observations is shown.

On the estimation of annual and monthly mean values of air temperature over Greece using stepwise multiple regression analysis

Annual and monthly mean air temperatures at over sixty stations in Greece are compared with the three factors of latitude, longitude and altitude by means of stepwise multiple regression. The validity of the assumption that there is a linear relationship between the mean air temperature values and the three factors is examined. A seasonal variation was evident in all the computed temperature gradients with altitude effects being at a maximum in the summer while the effects of latitude were most pronounced in the cold season. The empirical formulae produced do not account completely for all the systematic features of the data but the resultant correlation coefficients range from 0.855 to 0.962. The residuals between actual and calculated temperatures are shown and their use in deriving temperatures at places other than meteorological stations is discussed.