Selected air quality trends and recent air pollution investigations in the US–Mexico border region

Mukerjee, Shaibal

doi:10.1016/s0048-9697(01)00782-3

Cited by 22 publications

(19 citation statements)

References 40 publications

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“…This is of particular interest in the Monterrey Metropolitan Area (MMA), the third most populous city in Mexico, and northeastern Mexico where air pollution is a major concern (e.g., Mukerjee, 2001;Mejía et al, 2006;SEMARNAT and INE, 2011).…”

Section: Introductionmentioning

confidence: 99%

Ozone sensitivity to its precursor emissions in northeastern Mexico for a summer air pollution episode

Sierra

Vanoye

Mendoza

2013

Journal of the Air & Waste Management Association

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A summer episode was modeled to address the expected response of ambient air O 3 to hypothetical emission control scenarios in northeastern Mexico, and in particular in the Monterrey Metropolitan Area (MMA). This region is of interest because the MMA holds one of the worst air quality problems in the country and levels of air pollutants in the rest of northeastern Mexico are starting to be a concern. The MM5-SMOKE-CMAQ platform was used to conduct the numerical experiments. Twenty-four control scenarios were evaluated, combining the level of emission controls of O 3 precursors (NOx and volatile organic compounds [VOCs]) from 0% to 50%. For the MMA, VOC-only controls result in the best option to reduce O 3 concentrations, though the benefit is limited to the urban core. This same strategy results in negligible benefits for the rest of northeastern Mexico. NOx controls result in an increase in O 3 concentration within the MMA of up to 20 ppbv and a decrease at downwind locations of up to 11 ppbv, with respect to the basecase scenario. Indicator ratios were also used to probe for NOx-sensitive and VOC-sensitive areas. Locations with an important influence of NOx point sources (i.e., Monclova and Nava/Acuña) are quite sensitive to changes in NOx emissions. Border cities in the Rio Bravo/Grande Valley tend to be marginally NOx-sensitive. Overall, the MMA seems to be dominated by a VOC-sensitive regime, while the rest of the region would tend to have a NOx-sensitive response. The results obtained serve to expand the current knowledge on the chemical regimes that dominate this region (VOC-or NOx-sensitive), and thus could help guide public policies related to emission regional control strategies.Implications: Updated information on the expected response of ambient air O 3 to emission changes in northeastern Mexico is presented. Results suggest that emission control strategies for the Monterrey Metropolitan Area should focus on VOC reductions or combined VOC-NOx reductions, while the Lower Rio Bravo/Grande Valley border has a negligible response to the emission scenarios tested. Changes in NOx emissions from Carbon II, a 1,400-MW coal-fired electric utility, would have a nonnegligible transboundary effect.

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Section: Introductionmentioning

confidence: 99%

Ozone sensitivity to its precursor emissions in northeastern Mexico for a summer air pollution episode

Sierra

Vanoye

Mendoza

2013

Journal of the Air & Waste Management Association

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“…Mukerjee et al (2001) and Kukkonen et al (2001) developed a model based on the correlation between PM xx and NO x to predict yearly average PM 10 concentrations, whereas Jorquera et al (2001) used box models to analyze air pollution in Santiago, Chile, and developed a linear model for PM 2.5 , PM 10 , and coarse PM 2.5 -PM 10 fractions. Tiittaa et al (2002) developed a semiempirical model and applied multiple regression analysis to predict the PM concentration.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of PM₁₀ forecasting based on the artificial neural network model and intake fraction in an urban area: A case study in Taiyuan City, China

Zhang

Liu

Shi

et al. 2013

Journal of the Air & Waste Management Association

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(BPANN) model with various air quality parameters. The predicted results of the models were consistent with the observations with a correlation coefficient of 0.72. The PM 10 yearly average concentrations combined with the population data from 2002 to 2008 were given into the Intake Fraction (IF) model to calculate the IFs, which are defined as the integrated incremental intake of a pollutant released from a source category or a region over all exposed individuals. The results in this study are only for main stationary sources of the research area, and the traffic sources have not been included. The computed IFs results are therefore under-estimations. The IFs of PM 10 from Taiyuan with a mean of 8.5 per million were relatively high compared with other IFs of the United States, Northern Europe and other cities in China. The results of this study indicate that the artificial neural network is an effective method for PM 10 pollution modeling, and the Intake Fraction model provides a rapid population risk estimate for pollutant emission reduction strategies and policies.Implications: The PM 10 (particulate matter with an aerodynamic diameter 10 µm) yearly average concentration of Taiyuan, with a mean of 0.176 mg/m 3 , was higher than the 65 µg/m 3 recommended by the U.S. Environmental Protection Agency (EPA). The spatial distribution of PM 10 yearly average concentrations showed that wind direction and wind speed played an important role, whereas temperature and humidity had a lower effect than expected. Intake fraction estimates of Taiyuan were relatively high compared with those observed in other cities. Population density was the major factor influencing PM 10 spatial distribution. The results indicated that the artificial neural network was an effective method for PM 10 pollution modeling.

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“…But in the city the anthropogenic impact is more significant. The increases in population, motor vehicles and energy consumption usually lead to increases in air pollutant emissions, and a reduction in air quality in cities (Mayer, 1999;Mukerjee, 2001). Kahn (1997) identified that increases in manufacturing have a statistically significant impact on particulate levels.…”

Section: Introductionmentioning

confidence: 99%

Ambient air quality trends and driving factor analysis in Beijing, 1983–2007

Zhang

Ouyang

Miao

et al. 2011

Journal of Environmental Sciences

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Selected air quality trends and recent air pollution investigations in the US–Mexico border region

Cited by 22 publications

References 40 publications

Ozone sensitivity to its precursor emissions in northeastern Mexico for a summer air pollution episode

Ozone sensitivity to its precursor emissions in northeastern Mexico for a summer air pollution episode

Evaluation of PM₁₀ forecasting based on the artificial neural network model and intake fraction in an urban area: A case study in Taiyuan City, China

Ambient air quality trends and driving factor analysis in Beijing, 1983–2007

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Selected air quality trends and recent air pollution investigations in the US–Mexico border region

Cited by 22 publications

References 40 publications

Ozone sensitivity to its precursor emissions in northeastern Mexico for a summer air pollution episode

Ozone sensitivity to its precursor emissions in northeastern Mexico for a summer air pollution episode

Evaluation of PM10 forecasting based on the artificial neural network model and intake fraction in an urban area: A case study in Taiyuan City, China

Ambient air quality trends and driving factor analysis in Beijing, 1983–2007

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Evaluation of PM₁₀ forecasting based on the artificial neural network model and intake fraction in an urban area: A case study in Taiyuan City, China