The Thai Pollution Control Department (PCD) also
operated collocated PM10 and PM2.5 dichotomous monitors
at two sites between January and April 1996. At the
Chulalongkorn Hospital site the average daily PM10 and
PM2.5 concentrations were 100 and 51 mg/m3, respectively,
with a day-to-day correlation of 0.92. At the Odean Circle
site, the average PM10 and PM2.5 concentrations were 105
and 56 mg/m3, respectively, with a day-to-day correlation
of 0.85. Thus, the ratio of PM2.5 to PM10 is generally similar
to that found in many U.S. cities, and the high day-today
correlations between concentrations of PM2.5 and PM10
indicate that daily variation in PM10 is driven by changes
in fine particle concentrations. Table 1 summarizes the
PM10 data for 1992 through 1995.
Daily weather data collected at the Don Muang Airport
and the Bangkok metropolitan weather station were
obtained from the Meteorology Department for 1992
through 1995. The data obtained include daily average
temperature, daily average relative humidity, daily average
dew-point temperature, and daily rainfall. The daily
weather variables at the two locations were found to be
highly correlated with each other. For the analysis of daily
mortality, we used the weather data from the Bangkok
metropolitan station because the station is closer than
the airport to the population center of the city.
A seasonal pattern is noticeable in the temperature data,
with relatively low daily average temperatures occurring
The Thai Pollution Control Department (PCD) alsooperated collocated PM10 and PM2.5 dichotomous monitorsat two sites between January and April 1996. At theChulalongkorn Hospital site the average daily PM10 andPM2.5 concentrations were 100 and 51 mg/m3, respectively,with a day-to-day correlation of 0.92. At the Odean Circlesite, the average PM10 and PM2.5 concentrations were 105and 56 mg/m3, respectively, with a day-to-day correlationof 0.85. Thus, the ratio of PM2.5 to PM10 is generally similarto that found in many U.S. cities, and the high day-todaycorrelations between concentrations of PM2.5 and PM10indicate that daily variation in PM10 is driven by changesin fine particle concentrations. Table 1 summarizes thePM10 data for 1992 through 1995.Daily weather data collected at the Don Muang Airportand the Bangkok metropolitan weather station wereobtained from the Meteorology Department for 1992through 1995. The data obtained include daily averagetemperature, daily average relative humidity, daily averagedew-point temperature, and daily rainfall. The dailyweather variables at the two locations were found to behighly correlated with each other. For the analysis of dailymortality, we used the weather data from the Bangkokmetropolitan station because the station is closer thanthe airport to the population center of the city.A seasonal pattern is noticeable in the temperature data,with relatively low daily average temperatures occurring
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The Thai Pollution Control Department (PCD) also
operated collocated PM10 and PM2.5 dichotomous monitors
at two sites between January and April 1996. At the
Chulalongkorn Hospital site the average daily PM10 and
PM2.5 concentrations were 100 and 51 mg/m3, respectively,
with a day-to-day correlation of 0.92. At the Odean Circle
site, the average PM10 and PM2.5 concentrations were 105
and 56 mg/m3, respectively, with a day-to-day correlation
of 0.85. Thus, the ratio of PM2.5 to PM10 is generally similar
to that found in many U.S. cities, and the high day-today
correlations between concentrations of PM2.5 and PM10
indicate that daily variation in PM10 is driven by changes
in fine particle concentrations. Table 1 summarizes the
PM10 data for 1992 through 1995.
Daily weather data collected at the Don Muang Airport
and the Bangkok metropolitan weather station were
obtained from the Meteorology Department for 1992
through 1995. The data obtained include daily average
temperature, daily average relative humidity, daily average
dew-point temperature, and daily rainfall. The daily
weather variables at the two locations were found to be
highly correlated with each other. For the analysis of daily
mortality, we used the weather data from the Bangkok
metropolitan station because the station is closer than
the airport to the population center of the city.
A seasonal pattern is noticeable in the temperature data,
with relatively low daily average temperatures occurring
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