BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//talks.geoinfo-lab.org//foss4g-asia-2024//QKFA3Q
BEGIN:VTIMEZONE
TZID:+07
BEGIN:STANDARD
DTSTART:20000101T000000
RRULE:FREQ=YEARLY;BYMONTH=1
TZNAME:+07
TZOFFSETFROM:+0700
TZOFFSETTO:+0700
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
UID:pretalx-foss4g-asia-2024-Q8QZUZ@talks.geoinfo-lab.org
DTSTART;TZID=+07:20241216T153000
DTEND;TZID=+07:20241216T155000
DESCRIPTION:This research aims to estimate PM2.5 concentrations from Aeroso
 l Optical Depth (AOD) and meteorological data and study the spatial distri
 bution patterns of PM2.5 in Saraburi Province. The estimation of PM2.5 lev
 els is conducted using AOD data combined with meteorological data through 
 a Multiple Linear Regression (MLR) method. The estimated values are then u
 sed to analyze the distribution patterns of PM2.5. The study found that in
  2018\, the average monthly PM2.5 concentration ranged from 0 to 74.1 μg/
 m³\, with high-value clustering (hot spots) covering approximately 421.43
  km²\, or 12.04% of the provincial area. In 2019\, the average monthly PM
 2.5 concentration ranged from 0 to 41.4 μg/m³\, with hot spots covering 
 approximately 509.29 km²\, or 14.55% of the provincial area. In 2020\, th
 e average monthly PM2.5 concentration ranged from 0 to 50.0 μg/m³\, with
  hot spots covering approximately 648.37 km²\, or 18.53% of the provincia
 l area. In 2021\, the average monthly PM2.5 concentration ranged from 0 to
  55.3 μg/m³\, with hot spots covering approximately 562.93 km²\, or 16.
 09% of the provincial area. In 2022\, the average monthly PM2.5 concentrat
 ion ranged from 0 to 57.3 μg/m³\, with hot spots covering approximately 
 615.97 km²\, or 18% of the provincial area. The most of high-value cluste
 rs were in the western part of the province\, where agricultural activitie
 s are prevalent\, contributing to higher PM2.5 levels. In contrast\, low-v
 alue clusters (cold spots) were primarily found in the eastern part of the
  province\, which is largely forested.
DTSTAMP:20260610T084513Z
LOCATION:Room34-1102
SUMMARY:The Application of Google Earth Engine for PM2.5 Estimation to Anal
 yze PM2.5 Distribution From in Saraburi Province - Pattara
URL:https://talks.geoinfo-lab.org/foss4g-asia-2024/talk/Q8QZUZ/
END:VEVENT
END:VCALENDAR