GIS-based geostatistical approaches study on spatial-temporal distribution of ozone and its sources in hot, arid climates.

Ambient ozone (O₃) is a critical atmospheric pollutant with significant potential threats to human health and the environment. Geographic information systems (GIS) techniques have opened up a wide range of methods for the assessment of health risks associated with pollutant exposure in urban environments. Accordingly, this study aimed to identify the sources and spatial-temporal distribution of O₃ in regions under hot, arid climates. GIS-based geostatistical interpolation approaches were applied to analyze and locate the sources and spatial-temporal distribution of O₃ in the state of Kuwait, which was taken as a case study. The spatial distribution of O₃ in Kuwait was mapped using GIS functions. Hourly observation data for O₃ concentration along with air pollutants and meteorological condition data for five years were collected from four air-monitoring stations representing open, residential, industrial, and commercial areas. To evaluate the accuracy of several spatial interpolation approaches, O₃ concentration was estimated using the inverse distance weighted (IDW) and kriging approaches. Both attribute and geographic data were analyzed and mapped along with meteorological data to investigate the sources and the spatial-temporal distribution of O₃. The results showed the O₃ and NO₂ concentrations during the four seasons were less than that in the regional and international limits. Seasonal spatial variability showed that the opposite trend of variations between O₃ and NO₂ recorded high concentrations in the summer and spring seasons for O₃, while it was in the winter and autumn seasons for NO₂. A high correlation was found between O₃ pollutants and meteorological parameters. The highest O₃ concentration was recorded in the summer season, followed by spring. The minimum O₃ concentration was during the winter season. The concentrations of NO during the summer and spring seasons were lower than during the winter and autumn seasons. The strongest correlation was found between O₃ and NO₂ during the summer and autumn in the four regions. [ABSTRACT FROM AUTHOR]