Sampling StationandTime RequirementsforUrbanAir PollutionSurveys

Stalker, William W.; Dickerson, Richard C.; Kramer, George D.

doi:10.1080/00022470.1962.10468102

Cited by 19 publications

(2 citation statements)

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“…Thomas (213) investigated the relationship between sulfur dioxide and sulfuric acid concentrations and visibility in Los Angeles. In another study involving sulfur dioxide, sampling station and time requirements were considered (197). Braun and Wilson (So) measured the variation of sulfur dioxide concentration with altitude.…”

Section: Analysis Of Sources Of Pollutionmentioning

confidence: 99%

Air Pollution

Atshuller¹

1963

Anal. Chem.

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Section: Analysis Of Sources Of Pollutionmentioning

confidence: 99%

Air Pollution

Atshuller¹

1963

Anal. Chem.

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“…The question of the``adequacy'' of the location of a monitor has been investigated in the context of designing an efficient network in the earlier studies (e.g., Clifton et al, 1959;Stalker et al, 1962 ) and more recently by Hwang and Chan (1997 ), or in the context of spatial representativeness of air monitors by Kotchmar et al ( 1987 ) and Chan and Hwang (1996 ). However, the monitor-to -monitor correlations evaluated in these studies were of cross -sectional type, and therefore were not relevant to time series studies.…”

Section: Introductionmentioning

confidence: 99%

Monitor-to-monitor temporal correlation of air pollution and weather variables in the North-Central U.S.

Ito

Thurston

Nádas

et al. 2001

J Expo Sci Environ Epidemiol

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Numerous time series studies have reported associations between daily ambient concentrations of air pollution and morbidity or mortality. Recent personal exposure studies have also reported relatively high longitudinal correlation between personal exposures to particulate matter ( PM ) and home outdoor PM concentrations, lending support to the health effects reported in time series studies. However, the question remains as to how well the temporal fluctuations in the air pollution levels observed at an outdoor monitor represent the temporal fluctuations in the population exposures to pollution of outdoor origins in a city, and how such representativeness affects the size and significance of risk estimates. Also, such spatio -temporal correlations would vary from pollutant to pollutant, likely influencing their relative significance of statistical associations with health outcomes. In this study, we characterized the extent of monitor -tomonitor correlation over time among multiple monitoring sites for PM less than 10 m (PM 10 ), gaseous criteria pollutants, and several weather variables in seven central and eastern contiguous states ( IL, IN, MI, OH, PA, WI, and WV ) during the study period of 1988 ± 1990. After removing seasonal trends, the monitor -to -monitor temporal correlation among the air pollution / weather variables within 100 -mile separation distance in these areas could be generally ranked into three groups: ( 1 ) temperature, dew point, relative humidity ( r > 0.9 ); ( 2 ) O 3 , PM 10 , NO 2 ( r: 0.8 ± 0.6 ); and ( 3 ) CO, SO 2 ( r < 0.5 ). Using the subsets for separation distance less than 100 miles, regression analyses of these monitor -to -monitor correlation coefficients were also conducted with explanatory variables including separation distance, qualitative ( land use, location setting, and monitoring objectives ) and quantitative ( large and small variance ) site characteristics, and region indicators for Air Quality Control Region ( AQCR ). The separation distance was a significant predictor of monitorto -monitor correlation decline especially for PM 10 and NO 2 ( $0.2 drop over 30 miles ). Site characteristic variables were, in some cases, significant predictors of monitor -to -monitor correlation, but the magnitude of their impacts was not substantial. Regional differences, as examined by AQCR, were in some cases ( e.g., in Metropolitan Philadelphia ) substantial. In these areas, the pollutants that had generally poor monitor -to -monitor correlation in the overall seven states data ( i.e., for SO 2 and CO ) showed higher monitor -to -monitor correlations, comparable with PM 10 and O 3 , within the AQCR. These results are useful in interpreting some of the past time series epidemiological results. The differences in monitor -to -monitor correlations found across pollutants in this work ( i.e., r$0.8 vs. r$0.4 ) are sufficiently large that they could be a factor in the different pollutant significance levels reported in the epidemiologic literature. It is recommended that future epidemiol...

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