The Influence of Weather Conditions and Local Climate on Particulate Matter (PM10) Concentration in Metropolitan Area of Iasi, Romania

• Published in: Present Environment and Sustainable Development
• Main Authors: Sfîcă Lucian, Iordache Iulian, Ichim Pavel, Leahu Alina, Cazacu Marius-Mihai, Gurlui Silviu, Trif Cătălin-Răzvan
• Format: Article in Journal/Newspaper
• Language: English
• Published: Alexandru Ioan Cuza University Press, Iasi, Romania 2018
• Subjects: PM10; LOCAL CLIMATE; Iasi; thermal inversions; envir; geo; Aerosol Robotic Network
• Online Access: https://doi.org/10.2478/pesd-2018-0029; https://doaj.org/article/ac94e4f59bf84a5ea266d7d70eefb2fa

The aim of this study is to evaluate the role of the weather conditions and local climate on the temporal and spatial variability of particulate matters (PM 10) in Iași city which is facing major pollution problems in the recent years. Daily data from 4 monitoring stations of Environmental Protection Agency-Iași–for main weather parameters and particulate matters – and the temperature from an inner temperature and relative humidity observation network inside the city were used for a three year study (2013-2015). Linear correlation, composite analysis and multiple regression are the main statistical methods applied in the analysis. In brief, the most important meteorological parameters enhancing air pollution in Iași seem to be represented by thermal inversions developing in the region strongly related to local climate conditions. The Pearson correlation coefficient (stronger than -0.40) between PM10 and thermal gradient, the difference in the PM10 concentration exceeding 20 μg/m3 between strong thermal inversions and unstable conditions and the leading role of thermal gradients in multiple regression are the main indicators of the great role of thermal inversion in generating and sustaining pollution conditions in this area. The maximum concentrations of PM10 occur in May and March, gathering more than 30% of the days for the entire year. Complementary studies were taken into account in order to analyse the aerosol optical properties retrieved from Aerosol Robotic Network (AERONET-NASA).