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| Content Provider | Springer Nature Link |
|---|---|
| Author | Allshouse, William B. Pleil, Joachim D. Rappaport, Stephen M. Serre, Marc L. |
| Copyright Year | 2009 |
| Abstract | This work proposes a space/time estimation method for atmospheric PM2.5 components by modelling the mass fraction at a selection of space/time locations where the component is measured and applying the model to the extensive PM2.5 monitoring network. The method we developed utilizes the nonlinear Bayesian maximum entropy framework to perform the geostatistical estimation. We implemented this approach using data from nine carcinogenic, particle-bound polycyclic aromatic hydrocarbons (PAHs) measured from archived PM2.5 samples collected at four locations around the World Trade Center (WTC) from September 22, 2001 to March 27, 2002. The mass fraction model developed at these four sites was used to estimate PAH concentrations at additional PM2.5 monitors. Even with limited PAH data, a spatial validation showed the application of the mass fraction model reduced the mean squared error (MSE) by 7–22%, while in the temporal validation there was an exponential improvement in MSE positively associated with the number of days of PAH data removed. Our results include space/time maps of atmospheric PAH concentrations in the New York area after 9/11. |
| Starting Page | 1213 |
| Ending Page | 1223 |
| Page Count | 11 |
| File Format | |
| ISSN | 14363240 |
| Journal | Stochastic Environmental Research and Risk Assessment |
| Volume Number | 23 |
| Issue Number | 8 |
| e-ISSN | 14363259 |
| Language | English |
| Publisher | Springer-Verlag |
| Publisher Date | 2009-07-17 |
| Publisher Place | Berlin, Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Bayesian maximum entropy Polycyclic aromatic hydrocarbons Particulate matter World Trade Center Space/time modeling Waste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution Computational Intelligence Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Mathematical Applications in Earth Sciences Probability Theory and Stochastic Processes Math. Application in Environmental Science |
| Content Type | Text |
| Resource Type | Article |
| Subject | Environmental Chemistry Environmental Engineering Water Science and Technology Safety, Risk, Reliability and Quality |
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