In order to establish strategies for the influence of anthropic activities, continuously monitoring of particulate and greenhouse gases are required. Atmospheric aerosol particles together with greenhouse gases, according to the IPCC( 2013), are playing a major role in climate change affecting the Earth's radiative balance: directly by absorbing and scattering of solar radiation and indirectly by supporting for cloud condensation. In the GAW Regional Coastal Observatory I-AMICA in Lamezia Terme (38.88 LAT 16.24 LON, 6m agl) in Calabrian Region, greenhouse gas and particulate are daily monitored in order to collect and investigate natural and anthropic sources affecting climate. The equipment allow us to detect local events of different nature that influence short lived gases and aerosol presence in our area. In particular here we present some evidence of forest fire smoke detection due to biomass burning caused from agriculture activities. Hourly and daily variation of several parameters are showed, correlation with local circulation is analysed. A further analysis on the correlations with back-trajectories technique based on Hysplit model outputs are also showed.
Impact of agriculture biomass burning and preliminary results, on coastal site Lamezia Terme, integrating data of different instruments.
T Lo Feudo;D Gullì;
2015
Abstract
In order to establish strategies for the influence of anthropic activities, continuously monitoring of particulate and greenhouse gases are required. Atmospheric aerosol particles together with greenhouse gases, according to the IPCC( 2013), are playing a major role in climate change affecting the Earth's radiative balance: directly by absorbing and scattering of solar radiation and indirectly by supporting for cloud condensation. In the GAW Regional Coastal Observatory I-AMICA in Lamezia Terme (38.88 LAT 16.24 LON, 6m agl) in Calabrian Region, greenhouse gas and particulate are daily monitored in order to collect and investigate natural and anthropic sources affecting climate. The equipment allow us to detect local events of different nature that influence short lived gases and aerosol presence in our area. In particular here we present some evidence of forest fire smoke detection due to biomass burning caused from agriculture activities. Hourly and daily variation of several parameters are showed, correlation with local circulation is analysed. A further analysis on the correlations with back-trajectories technique based on Hysplit model outputs are also showed.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


