Asian Journal of Atmospheric Environment

  • 제9권4호
  • /
  • Pages.247-258
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  • 2015
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  • 1976-6912(pISSN)
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  • 2287-1160(eISSN)
한국대기환경학회 (Korean Society for Atmospheric Environment)
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Kriging Analysis for Spatio-temporal Variations of Ground Level Ozone Concentration

  • Gorai, Amit Kumar (Department of Mining Engineering, National Institute of Technology) ;
  • Jain, Kumar Gourav (Department of Civil and Environmental Engineering, Birla Institute of Technology) ;
  • Shaw, Neha (Department of Civil and Environmental Engineering, Birla Institute of Technology) ;
  • Tuluri, Francis (Department of Industrial Systems and Technology, Jackson State University) ;
  • Tchounwou, Paul B. (NIH/NIMHD RCMI-Center for Environmental Health, Jackson State University)
  • 투고 : 2015.06.24
  • 심사 : 2015.11.11
  • 발행 : 2015.12.31
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초록

Exposure of high concentration of ground-level ozone (GLO) can trigger a variety of health problems including chest pain, coughing, throat irritation, asthma, bronchitis and congestion. There are substantial human and animal toxicological data that support health effects associated with exposure to ozone and associations have been observed with a wide range of outcomes in epidemiological studies. The aim of the present study is to estimate the spatial distributions of GLO using geostatistical method (ordinary kriging) for assessing the exposure level of ozone in the eastern part of Texas, U.S.A. GLO data were obtained from 63 U.S. EPA's monitoring stations distributed in the region of study during the period January, 2012 to December, 2012. The descriptive statistics indicate that the spatial monthly mean of daily maximum 8 hour ozone concentrations ranged from 30.33 ppb (in January) to 48.05 (in June). The monthly mean of daily maximum 8 hour ozone concentrations was relatively low during the winter months (December, January, and February) and the higher values observed during the summer months (April, May, and June). The higher level of spatial variations observed in the months of July (Standard Deviation: 10.33) and August (Standard Deviation: 10.02). This indicates the existence of regional variations in climatic conditions in the study area. The range of the semivariogram models varied from 0.372 (in November) to 15.59 (in April). The value of the range represents the spatial patterns of ozone concentrations. Kriging maps revealed that the spatial patterns of ozone concentration were not uniform in each month. This may be due to uneven fluctuation in the local climatic conditions from one region to another. Thus, the formation and dispersion processes of ozone also change unevenly from one region to another. The ozone maps clearly indicate that the concentration values found maximum in the north-east region of the study area in most of the months. Part of the coastal area also showed maximum concentrations during the months of October, November, December, and January.

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