A Mechanistic Model of Annual Sulfate Concentrations in the United States

• Published in: Journal of the American Statistical Association Vol. 117; no. 539; pp. 1082 - 1093
• Main Authors: Wikle, Nathan B., Hanks, Ephraim M., Henneman, Lucas R. F., Zigler, Corwin M.
• Format: Journal Article
• Language: English
• Published: United States Taylor & Francis 2022; Taylor & Francis Ltd
• Subjects: Air pollution; Air quality; Attribution; Coal; Coal-fired power plants; Industrial plant emissions; Ornstein-Uhlenbeck process; Outdoor air quality; Pollution sources; Power plants; Regression analysis; Regulation; SDEs; Space-time processes; Spatial data; Spatial statistics; Statistical methods; Statistics; Sulfur dioxide; Uncertainty; United States > US; SDEs; air pollution; spatial statistics; Ornstein-Uhlenbeck process; space-time processes
• ISSN: 0162-1459; 1537-274X
• DOI: 10.1080/01621459.2022.2027774

Understanding how individual pollution sources contribute to ambient sulfate pollution is critical for assessing past and future air quality regulations. Since attribution to specific sources is typically not encoded in spatial air pollution data, we develop a mechanistic model which we use to estimate, with uncertainty, the contribution of ambient sulfate concentrations attributable specifically to sulfur dioxide (SO 2 ) emissions from individual coal-fired power plants in the central United States. We propose a multivariate Ornstein-Uhlenbeck (OU) process approximation to the dynamics of the underlying space-time chemical transport process, and its distributional properties are leveraged to specify novel probability models for spatial data that are viewed as either a snapshot or time-averaged observation of the OU process. Using US EPA SO 2 emissions data from 193 power plants and state-of-the-art estimates of ground-level annual mean sulfate concentrations, we estimate that in 2011-a time of active power plant regulatory action-existing flue-gas desulfurization (FGD) technologies at 66 power plants reduced population-weighted exposure to ambient sulfate by 1.97 μg/m 3 (95% CI: 1.80-2.15). Furthermore, we anticipate future regulatory benefits by estimating that installing FGD technologies at the five largest SO 2 -emitting facilities would reduce human exposure to ambient sulfate by an additional 0.45 μg/m 3 (95% CI: 0.33-0.54). Supplementary materials for this article are available online.