Box-Jenkins Time Series (ARIMA) and the multivariate linear models (MLM) have been important and popular linear tools in air quality forecasting during the past decade for urban areas. On the other hand, artificial neural networks (ANN) recently have been used successfully as a nonlinear tool in ...
Ortega-Bravo, J.C.
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Ramírez, M.
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Fu, J.S.
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Reed, G.D.
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[A hybrid ARIMA and artificial neural networks model to forecast particulate matter in urban areas: The case of Temuco, Chile]
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A hybrid ARIMA and artificial neural networks model to forecast particulate matter in urban areas: The case of Temuco, Chile
Air toxics concentrations and health effects that come from different sources emission scenarios by linking Models-3/CMAQ and cancer risk assessment were predicted. The year 1999 was used to emissions inventory and the year 2003 for meteorological data and modeling performance. To demonstrate the...
Díaz-Robles, Luis Alonso
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Fu, J.S.
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Reed, G.D.
,
[Health risk assessment posed by primary diesel particulate matter and vapor air toxics in Southeastern US]
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Health risk assessment posed by primary diesel particulate matter and vapor air toxics in Southeastern US
Air quality time series consists of complex linear and non-linear patterns and are difficult to forecast. Box-Jenkins Time Series (ARIMA) and multilinear regression (MLR) models have been applied to air quality forecasting in urban areas, but they have limited accuracy owing to their inability to...
Díaz-Robles, Luis Alonso
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Ortega, J.C.
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Fu, J.S.
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Reed, G.D.
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Chow, Judith C.
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Watson, J.G.
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Moncada-Herrera, J.A.
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Díaz-Robles, Luis Alonso
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[A hybrid ARIMA and artificial neural networks model to forecast particulate matter in urban areas: The case of Temuco, Chile]
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A hybrid ARIMA and artificial neural networks model to forecast particulate matter in urban areas: The case of Temuco, Chile
The fine and ultra fine sizes of diesel particulate matter (DPM) are of greatest health concern. The composition of these primary and secondary fine and ultra fine particles is principally elemental carbon (EC) with adsorbed organic compounds, sulfate, nitrate, ammonia, metals, and other trace el...
Díaz-Robles, Luis Alonso
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FU, J.S.
,
Reed, G.D.
,
[Modeling and source apportionment of diesel particulate matter]
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Modeling and source apportionment of diesel particulate matter
The fine and ultra fine size of diesel particulate mater (DPM) are of great health concern and significantly contribute to the overall cancer risk. In addition, diesel particles may contribute a warming effect on the planet's climate. The composition of these particles is composed principally of ...
Díaz-Robles, Luis Alonso
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Fu, J.S.
,
Reed, G.D.
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DeLucía, A.J.
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[Seasonal distribution and modeling of diesel particulate matter in the Southeast US]
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Seasonal distribution and modeling of diesel particulate matter in the Southeast US
Mobile sources are among the largest contributors of NOx in the Great Smoky Mountains National Park region (GSMNP). In 2001, these sources contributed 45% of NOx emissions. From 1990 to 2001, the growth of vehicle miles traveled (VMT) increased 60% and 55% in neighboring Sevier and Blount countie...
Díaz-Robles, Luis Alonso
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Greene, D.S.
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Doraiswamy, P.
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Reed, G.D.
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Fu, J.S.
,
[The effect of switching mobile sources to natural gas on the ozone in the great smoky mountains national park]
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The effect of switching mobile sources to natural gas on the ozone in the great smoky mountains national park