TY - GEN
T1 - Weight of evidence analysis for attributing monitored sulfur dioxide exceedances to emission source zones
AU - Feinberg, Stephen
AU - Yadav, Varun
AU - Turner, Jay
PY - 2013
Y1 - 2013
N2 - A study was conducted to support efforts by the Southeast Michigan Air Quality Study Group (SEMAQS) to address the air quality standards that are based on good science and good policy. In this case, the Michigan Department of Environmental Quality (MDEQ) compliance monitoring station at Southwest High School (SWHS) in the City of Detroit violates the 1-hour SO2 NAAQS. The drivers for exceedances at that site have been a topic of considerable discussion within SEMAQS and were the focus of this study. A top-down analysis was performed to identify the geographic region likely to include the most important SO2 emission source(s) impacting the SWHS site. Hour-specific and daily 1-hr maximum monitored and modeled concentrations were weakly correlated, whereas quantile-quantile plots of the monitored and modeled hourly SO2 concentrations showed reasonably good agreement given the uncertainties when allocating annual emissions to specific hours. This is an abstract of a paper presented at the 106th AWMA Annual Conference and Exhibition (Chicago, IL 6/25-28/2013).
AB - A study was conducted to support efforts by the Southeast Michigan Air Quality Study Group (SEMAQS) to address the air quality standards that are based on good science and good policy. In this case, the Michigan Department of Environmental Quality (MDEQ) compliance monitoring station at Southwest High School (SWHS) in the City of Detroit violates the 1-hour SO2 NAAQS. The drivers for exceedances at that site have been a topic of considerable discussion within SEMAQS and were the focus of this study. A top-down analysis was performed to identify the geographic region likely to include the most important SO2 emission source(s) impacting the SWHS site. Hour-specific and daily 1-hr maximum monitored and modeled concentrations were weakly correlated, whereas quantile-quantile plots of the monitored and modeled hourly SO2 concentrations showed reasonably good agreement given the uncertainties when allocating annual emissions to specific hours. This is an abstract of a paper presented at the 106th AWMA Annual Conference and Exhibition (Chicago, IL 6/25-28/2013).
KW - Dispersion modeling
KW - Nonparametric wind regression
KW - Weight of evidence analysis
UR - https://www.scopus.com/pages/publications/84903317724
M3 - Conference contribution
AN - SCOPUS:84903317724
SN - 9781629934440
T3 - Proceedings of the Air and Waste Management Association's Annual Conference and Exhibition, AWMA
SP - 2489
EP - 2493
BT - 106th Air and Waste Management Association Annual Conference and Exhibition, ACE 2013
PB - Air and Waste Management Association
T2 - 106th Air and Waste Management Association Annual Conference and Exhibition, ACE 2013
Y2 - 25 June 2013 through 28 June 2013
ER -