Scopul nostru este sprijinirea şi promovarea cercetării ştiinţifice şi facilitarea comunicării între cercetătorii români din întreaga lume.
Autori: Carmen - Otilia Rusãnescu, Ileana Nicoleta Popescu, David Ladislau
Editorial: INTERNATIONAL JOURNAL of ENERGY and ENVIRONMENT, Issue 4, Volume 4, p.113-121, 2010.
In the present paper, relative humidity variation was analyzed every week from autumn months of 2009, and analysis was
done for the 1st day of September and the last day of December 2009. Relative humidity variation analysis was made based on the records of the atmospheric parameters of the weather station equipment from Biotechnical Engineering Faculty of the University “Politehnica” of Bucharest (UPB). Based on records maintained by AWS weather station type / EV, we have achieved the statistical
analysis of relative humidity in the months of the autumn 2009 and also in december, highlighting the maximum and minimum relative humidity. We using GECO Using Data Acquisition software which are operating system runs under Microsoft Windows 95, 98, ME, Win NT, Windows 2000, XP. With this equipment, meteorological time is measured, recorded and transmitted automatically in real time with specific systems and also stored on computer databases.
Primary meteorological Stored in databases on WAS will be subject to the evaluation process, statistical calculated and analyzed. The Relative Humidity Sensor RH %, from this device it is an electronic sensor, based on a thin film element (temperature compensated capacitive Polymer) which have the capacity to variations linearly with the relative air humidity. RH % it is also an analogue sensor, have a good accuracy of measurements (the signal ranging linearly between o V and + 1 V which
measuring between 0-100% and have sensitivity on the full scale +/- 2 % and a response time less than 15 second), which ould give us an adequate monitoring of analyzed parameters.
Cuvinte cheie: Relative humidity, Weather station, Statistical analysis of obtained data