Limits...
Geospatial interpolation and mapping of tropospheric ozone pollution using geostatistics.

Kethireddy SR, Tchounwou PB, Ahmad HA, Yerramilli A, Young JH - Int J Environ Res Public Health (2014)

Bottom Line: A decent level of prediction accuracy was achieved and was confirmed from cross-validation results.Kriging results and O3 decadal trends indicate that the populace in Houston-Sugar Land-Baytown, Dallas-Fort Worth-Arlington, Beaumont-Port Arthur, San Antonio, and Longview are repeatedly exposed to high levels of O3-related pollution, and are prone to the corresponding respiratory and cardiovascular health effects.Optimization of the monitoring network proves to be an added advantage for the accurate prediction of exposure levels.

View Article: PubMed Central - PubMed

Affiliation: Trent Lott Geospatial and Visualization Research Center, College of Science Engineering and Technology, Jackson State University, Mississippi E-Center, 1230 Raymond Rd, Jackson, MS 39204, USA. swatantra.r.kethireddy@students.jsums.edu.

ABSTRACT
Tropospheric ozone (O3) pollution is a major problem worldwide, including in the United States of America (USA), particularly during the summer months. Ozone oxidative capacity and its impact on human health have attracted the attention of the scientific community. In the USA, sparse spatial observations for O3 may not provide a reliable source of data over a geo-environmental region. Geostatistical Analyst in ArcGIS has the capability to interpolate values in unmonitored geo-spaces of interest. In this study of eastern Texas O3 pollution, hourly episodes for spring and summer 2012 were selectively identified. To visualize the O3 distribution, geostatistical techniques were employed in ArcMap. Using ordinary Kriging, geostatistical layers of O3 for all the studied hours were predicted and mapped at a spatial resolution of 1 kilometer. A decent level of prediction accuracy was achieved and was confirmed from cross-validation results. The mean prediction error was close to 0, the root mean-standardized-prediction error was close to 1, and the root mean square and average standard errors were small. O3 pollution map data can be further used in analysis and modeling studies. Kriging results and O3 decadal trends indicate that the populace in Houston-Sugar Land-Baytown, Dallas-Fort Worth-Arlington, Beaumont-Port Arthur, San Antonio, and Longview are repeatedly exposed to high levels of O3-related pollution, and are prone to the corresponding respiratory and cardiovascular health effects. Optimization of the monitoring network proves to be an added advantage for the accurate prediction of exposure levels.

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Related in: MedlinePlus

Air quality statistics- Maximum 8 hour average trend of Ozone in Texas for the last decade (data were obtained from US EPA [28]).
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ijerph-11-00983-f008: Air quality statistics- Maximum 8 hour average trend of Ozone in Texas for the last decade (data were obtained from US EPA [28]).

Mentions: O3 falls under “definite risk” category (respiratory and cardiovascular effects) when it surpass the 0.08 ppm average for 8 hour [29]. Data shows that most of the regions (Houston-Sugar Land-Baytown, Dallas-Fort Worth-Arlington, Beaumont-Port Arthur, San Antonio, and Longview) in Texas have violated the NAAQS standard for ozone. The standard was toughened to 0.075 ppm as promulgated in 2008 [30], which pushed more regions into non-attainment status for violating the standard. It can be observed in Figure 8 that most of the cities have violated the O3 standard (the red line) in the first half of decade, and the trend appeared to be decreased steadily until 2009; again it started rising since then. The trend indicates that the population is frequently exposed to the harmful levels of volatile organics, NOX, CO, and O3.


Geospatial interpolation and mapping of tropospheric ozone pollution using geostatistics.

Kethireddy SR, Tchounwou PB, Ahmad HA, Yerramilli A, Young JH - Int J Environ Res Public Health (2014)

Air quality statistics- Maximum 8 hour average trend of Ozone in Texas for the last decade (data were obtained from US EPA [28]).
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3924486&req=5

ijerph-11-00983-f008: Air quality statistics- Maximum 8 hour average trend of Ozone in Texas for the last decade (data were obtained from US EPA [28]).
Mentions: O3 falls under “definite risk” category (respiratory and cardiovascular effects) when it surpass the 0.08 ppm average for 8 hour [29]. Data shows that most of the regions (Houston-Sugar Land-Baytown, Dallas-Fort Worth-Arlington, Beaumont-Port Arthur, San Antonio, and Longview) in Texas have violated the NAAQS standard for ozone. The standard was toughened to 0.075 ppm as promulgated in 2008 [30], which pushed more regions into non-attainment status for violating the standard. It can be observed in Figure 8 that most of the cities have violated the O3 standard (the red line) in the first half of decade, and the trend appeared to be decreased steadily until 2009; again it started rising since then. The trend indicates that the population is frequently exposed to the harmful levels of volatile organics, NOX, CO, and O3.

Bottom Line: A decent level of prediction accuracy was achieved and was confirmed from cross-validation results.Kriging results and O3 decadal trends indicate that the populace in Houston-Sugar Land-Baytown, Dallas-Fort Worth-Arlington, Beaumont-Port Arthur, San Antonio, and Longview are repeatedly exposed to high levels of O3-related pollution, and are prone to the corresponding respiratory and cardiovascular health effects.Optimization of the monitoring network proves to be an added advantage for the accurate prediction of exposure levels.

View Article: PubMed Central - PubMed

Affiliation: Trent Lott Geospatial and Visualization Research Center, College of Science Engineering and Technology, Jackson State University, Mississippi E-Center, 1230 Raymond Rd, Jackson, MS 39204, USA. swatantra.r.kethireddy@students.jsums.edu.

ABSTRACT
Tropospheric ozone (O3) pollution is a major problem worldwide, including in the United States of America (USA), particularly during the summer months. Ozone oxidative capacity and its impact on human health have attracted the attention of the scientific community. In the USA, sparse spatial observations for O3 may not provide a reliable source of data over a geo-environmental region. Geostatistical Analyst in ArcGIS has the capability to interpolate values in unmonitored geo-spaces of interest. In this study of eastern Texas O3 pollution, hourly episodes for spring and summer 2012 were selectively identified. To visualize the O3 distribution, geostatistical techniques were employed in ArcMap. Using ordinary Kriging, geostatistical layers of O3 for all the studied hours were predicted and mapped at a spatial resolution of 1 kilometer. A decent level of prediction accuracy was achieved and was confirmed from cross-validation results. The mean prediction error was close to 0, the root mean-standardized-prediction error was close to 1, and the root mean square and average standard errors were small. O3 pollution map data can be further used in analysis and modeling studies. Kriging results and O3 decadal trends indicate that the populace in Houston-Sugar Land-Baytown, Dallas-Fort Worth-Arlington, Beaumont-Port Arthur, San Antonio, and Longview are repeatedly exposed to high levels of O3-related pollution, and are prone to the corresponding respiratory and cardiovascular health effects. Optimization of the monitoring network proves to be an added advantage for the accurate prediction of exposure levels.

Show MeSH
Related in: MedlinePlus