Investigation on the spatial distribution of PM 2 5 by integraring satellite image from 2013 2015

THAI NGUYEN UNIVERSITY UNIVERSITY OF AGRICULTURE AND FORESTRY HA THI HONG INVESTIGATION ON THE SPATIAL DISTRIBUTION OF PM 2.5 BY INTEGRATING SATELLITE IMAGE FROM 2013-2015 BACHELOR THESIS Study Mode : Full-time Major : Environmental Science And Management Faculty : International Training and Development Center Batch : 2012 - 2016 Thai Nguyen, December 2016 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 Supervisor(s) MSc Nguyen Van Hieu Abstract: 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 for a spatial distribution are limited to the location of ground based stations Therefore, Satellite images with a wide coverage like MODIS, MISR and OMI have been applied to overcome this limitation in terms of retrieved AODs For the application of total column AOD to PM concentration, the vertical distribution and aerosol type should be taken into account Association with extinction profile of CALIPSO products and aerosol compositions from NGAI algorithm, the AOD retrievals and PM2.5 are correlated in this study As the result, the linear regression between AOD from CALIPSO and PM2.5 has more uncertainty if AODtotal, AOD1000 and AOD500 used as proxy to estimate PM2.5 concentration (R2[...]...Figure 12a: The improved correlation between AOD140 and PM2 .5 in Guting from 20 13 to 20 15 ……………………………………………………………………… 34 Figure 12b: The improved correlation between AOD 140 and PM2 .5 in Tucheng from 20 13 to 20 15 …31 Figure 12c: The improved correlation between AOD140 and PM2 .5 in Zhonghe from 20 13 to 20 15 32 Figure 12d: The improved correlation between AOD140 and PM2 .5 in Xindian... stops: 1. 62 cm, Left Formatted: Font: 1 pt, Font color: Auto 3.1 .2 PM2 .5 stations Formatted: Font color: Auto Hourly PM2 .5 data from 20 13 to 20 15 are were acquired at Guting ( 25 .02o N, 121 .53 o E), Tucheng (24 .98o N, 121 .45o E), Zhonghe ( 25 .02o N, 121 .52 o E), Xindian Formatted: Font color: Auto Formatted: Indent: First line: 1 .27 cm, Space After: 0 pt (24 .98o N, 121 .52 o E) and Banqiao ( 25 .01o N, 121 .46o... linear regression between AOD140 – PM2 .5 in Guting from 20 13 to 20 15 32 Figure 10b: The linear regression between AOD140 – PM2 .5 in Tucheng from 20 13 to 20 15 33 Figure 11a: The improved correlation between AOD140 and PM2 .5 in Guting from 20 13 to 20 15 36 vi Formatted: Font: 14 pt, Bold, Font color: Auto PART III DATA AND METHODOLOGY Formatted: Font color: Auto... 1 .27 cm, Space After: 0 pt, Line spacing: Multiple 1.9 li Formatted: Font: Italic, Font color: Auto aerosol compositions from Lidar It is a vital role to conduct research Investigation Formatted: Font color: Auto on the spatial distribution of PM 2. 5 by integrating Satellite image from 20 13 -20 15 Formatted: Font: Italic, Font color: Auto 1 .2 Formatted: Font: Bold, Font color: Auto Research’s questions... AOD140 and PM2 .5 in Xindian from 20 13 to 20 15 32 Figure 12e: The improved correlation between AOD140 and PM2 .5 in Banqiao from 20 13 to 20 15 ……………………………………………………………………… 35 Figure 13: The NGAI identification result without AOD fraction in Taipei_WCB 33 Figure 14: The NGAI identification result with AOD fraction in Taipei_WCB 37 Formatted: Hyperlink, Font: Not Italic, Font color: Auto, Do not... CALIPSO at 12: 54 :20 (LZT) on March 27 , 20 13 in Taipei city 21 Figure 7: The scheme of AOD fraction determination for dual-type aerosols (type A and B) based on NGAI values (Lin et al., 20 16) 25 Figure 8: The locations of AERONET site and PM2 .5 stations selected in this study (google map) 28 Figure 9: The flowchart of analysis procedure 30 Figure 10a: The linear... 72 monitoring stations collects the measurements of PM1 0, PM2 .5, SO2, NO2, O3, 5 and CO in real time In this study, hourly averaged PM2 .5 concentrations when the satellite passeds over the study region were were downloaded from the national air quality publishing platform (http://taqm.epa.gov.tw/) PM2 .5 value can be divided into Formatted: No underline, Font color: Auto Formatted: Font color: Auto 4... Formatted: Font color: Auto 1 Based on CALIPSO data, how AOD from full column and near surface layers affected AOD -PM2 .5 correlation and aerosol particles? 2 Can near surface observations from CALIPSO be used as a better proxy for PM2 .5 concentration? 3 Can aerosol classification from CALIPSO improves AOD -PM2 .5 relationship in the near surface? What areis the main sources of regional air pollution sources?... Formatted: Font: Italic, Font color: Auto Formatted: Font: Italic, Font color: Auto Sensor Time Temporal Spatial pPeriod Resolution: Resolution: Spatial Coverage Ffootprint Formatted: Font color: Auto diameter on the ground CALIPSO 20 13– 20 15 5. 92 sec 5km (-90, 90) (-180,180) 70m The Taipei latitude and longitude pointed outis showing in the red box (Figure Formatted: Font color: Auto 8) For aerosols, the. .. emission Figure 96: Aerosol extinction coefficient profile from CALIPSO at 12: 54 :20 (LZT) on March 27 , 20 13 in Taipei city 3 .2 Methodology Formatted: Font: Italic, Font color: Auto Formatted: Font: Italic, Font color: Auto Formatted: Font: Italic, Font color: Auto Formatted: Font: 13 pt, Italic, Font color: Auto Data in the database are used to establish the relationship between AOD and Formatted: Font: ... correlation between AOD 140 and PM2 .5 in Tucheng from 20 13 to 20 15 …31 Figure 12c: The improved correlation between AOD140 and PM2 .5 in Zhonghe from 20 13 to 20 15 32 Figure 12d:... 12d: The improved correlation between AOD140 and PM2 .5 in Xindian from 20 13 to 20 15 32 Figure 12e: The improved correlation between AOD140 and PM2 .5 in Banqiao from 20 13 to 20 15 ………………………………………………………………………... The linear regression between AOD140 – PM2 .5 in Tucheng from 20 13 to 20 15 28 Figure 11c: The linear regression between AOD140 – PM2 .5 in Zhonghe from 20 13 to 20 15 ………………………………………………………………………………