(Luận văn) investigation on the spatial distribution of pm 2 5 by integraring satellite image from 2013 2015

THAI NGUYEN UNIVERSITY UNIVERSITY OF AGRICULTURE AND FORESTRY lu an n va HA THI HONG INVESTIGATION ON THE SPATIAL DISTRIBUTION OF PM 2.5 BY p ie gh tn to INTEGRATING SATELLITE IMAGE FROM 2013-2015 d oa nl w BACHELOR THESIS a lu Study Mode : Full-time nv : Environmental Science And Management Faculty : International Training and Development Center Batch : 2012 - 2016 an Major ll fu oi m at nh z z gm @ l.c Thai Nguyen, December 2016 om an Lu n va ac th si Thai Nguyen University of Agriculture and Forestry Degree Program Bachelor of Environmental Science and Management Student name HA THI HONG Student ID DTN 1253180048 Investigation on the spatial distribution of PM 2.5 by Thesis title integrating satellite image from 2013-2015 Assoc Prof Tang-Huang Lin lu an Supervisor(s) MSc Nguyen Van Hieu n va Abstract: p ie gh tn to Previous studies reported that human health is strongly and consistently affected by outdoor fine mode particulate matter, the so-called PM2.5 The monitor of PM concentration thus attracts much attention for the society However, the observations w for a spatial distribution are limited to the location of ground based stations d oa nl Therefore, Satellite images with a wide coverage like MODIS, MISR and OMI have been applied to overcome this limitation in terms of retrieved AODs a lu nv For the application of total column AOD to PM concentration, the vertical an distribution and aerosol type should be taken into account Association with extinction fu ll profile of CALIPSO products and aerosol compositions from NGAI algorithm, the m oi AOD retrievals and PM2.5 are correlated in this study As the result, the linear nh at regression between AOD from CALIPSO and PM2.5 has more uncertainty if AODtotal, z AOD1000 and AOD500 used as proxy to estimate PM2.5 concentration (R2