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1.
Environ Sci Technol ; 49(7): 4362-71, 2015 Apr 07.
Artículo en Inglés | MEDLINE | ID: mdl-25729920

RESUMEN

Recent assessments have analyzed the health impacts of PM2.5 from emissions from different locations and sectors using simplified or reduced-form air quality models. Here we present an alternative approach using the adjoint of the Community Multiscale Air Quality (CMAQ) model, which provides source-receptor relationships at highly resolved sectoral, spatial, and temporal scales. While damage resulting from anthropogenic emissions of BC is strongly correlated with population and premature death, we found little correlation between damage and emission magnitude, suggesting that controls on the largest emissions may not be the most efficient means of reducing damage resulting from anthropogenic BC emissions. Rather, the best proxy for locations with damaging BC emissions is locations where premature deaths occur. Onroad diesel and nonroad vehicle emissions are the largest contributors to premature deaths attributed to exposure to BC, while onroad gasoline emissions cause the highest deaths per amount emitted. Emissions in fall and winter contribute to more premature deaths (and more per amount emitted) than emissions in spring and summer. Overall, these results show the value of the high-resolution source attribution for determining the locations, seasons, and sectors for which BC emission controls have the most effective health benefits.


Asunto(s)
Contaminantes Atmosféricos/efectos adversos , Modelos Teóricos , Mortalidad Prematura , Hollín/efectos adversos , Emisiones de Vehículos/toxicidad , Monitoreo del Ambiente , Gasolina/efectos adversos , Humanos , Estaciones del Año , Estados Unidos
2.
Environ Sci Technol ; 41(22): 7807-17, 2007 Nov 15.
Artículo en Inglés | MEDLINE | ID: mdl-18075092

RESUMEN

An adjoint model for the internationally used Community Multiscale Air Quality (CMAQ) modeling platform of the U.S. EPA is developed. The adjoint version for CMAQ (CMAQ-ADJ) provides the user community with forward (decoupled direct method or DDM) and backward (adjoint) sensitivity analysis capabilities. Current implementation is for gas-phase processes. Discrete adjoints are implemented for all processes with the exception of horizontal advection, for which, because of inherent discontinuities in the advection scheme, the continuous approach is superior. The adjoint of chemistry is constructed by interfacing CMAQ with the kinetic pre-processor, which provides for increased flexibility in the choice of chemical solver and facilitates the implementation of new chemical mechanisms. The adjoint implementation is evaluated both on a process-by-process basis and for the full model. In general, adjoint results show good agreement with brute-force and DDM sensitivities. As expected for a continuous adjoint implementation in a nonlinear scheme, the agreement is not perfect for horizontal transport. Sensitivities of various air quality, public health, and environmental metrics with respect to emissions are calculated using the adjoint method. In order to show applicability to regional climate studies, as an example, the sensitivities of these metrics with respect to local temperatures are calculated.


Asunto(s)
Movimientos del Aire , Contaminantes Atmosféricos/química , Contaminación del Aire , Monitoreo del Ambiente/métodos , Ambiente , Exposición a Riesgos Ambientales , Gases , Geografía , Cinética , Modelos Químicos , Ozono/química , Características de la Residencia , Sensibilidad y Especificidad , Programas Informáticos , Dióxido de Azufre , Temperatura , Estados Unidos
3.
Environ Sci Technol ; 40(12): 3855-64, 2006 Jun 15.
Artículo en Inglés | MEDLINE | ID: mdl-16830553

RESUMEN

An application of the adjoint method in air quality management is demonstrated. We use a continental scale chemical transport model (STEM) to calculate the sensitivities of a nationwide U.S. ozone national ambient air quality standard (NAAQS) nonattainment metric to precursor emissions for the period July 1 to August 15, 2004. The model shows low bias and error (-4 and 24%, respectively), particularly for areas with high ozone concentrations. The nonattainment metric accounts for both 1-h and 8-h ozone standards, but is dominated by the 8-h exceedances (97% of the combined metric). Largest values of sensitivities are found to be with respect to emissions in the south and southeast U.S., Ohio River Valley, and California. When nonattainment sensitivities are integrated over the entire U.S., NOx emissions account for the largest contribution (62% of the total), followed by biogenic and anthropogenic VOCs (24% and 14%, respectively). For NOx emissions, point/area and mobile sources account for 54% and 46% of the total sensitivities, respectively. We also provide a state-by-state comparison for the nonattainment magnitude, nonattainment sensitivity, and emission magnitudes to explore the influence of interstate transport of ozone and its precursors, and policy implications of the results. Our analysis of the nationwide ozone nonattainment metric suggests that simple cap-and-trade programs may prove inadequate in achieving sought-after air quality objectives.


Asunto(s)
Contaminantes Atmosféricos/análisis , Contaminantes Atmosféricos/normas , Ozono/análisis , Ozono/normas , Simulación por Computador , Monitoreo del Ambiente/métodos , Modelos Teóricos , Óxido Nitroso , Ozono/metabolismo , Sensibilidad y Especificidad , Estados Unidos , Volatilización
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