Ground-level ozone pollution causes adverse health effects, and the detailed influences of meteorological factors precursors on at an hourly scale need to be further understood. We conducted in-depth analysis phase relationships periods ground-level in Shunyi station, Beijing, contributing using wavelet geographic detectors 2019. The combined effects different were also calculated. found that t...

Annual number of days with exceeded ozone threshold values at the ground level measuring stations in Slovenia ranges from a few days in the interior of the country to up to 25 days at the Mediterranean stations. The highest number of ozone exceedances is usually recorded in the southwestern part of Slovenia, close to the Adriatic Sea, where favorable meteorological conditions enhance ozone form...

BACKGROUND The adverse respiratory effects of ground-level ozone are well established. Ozone is the air pollutant most consistently projected to increase under future climate change. PURPOSE To project future pediatric asthma emergency department visits associated with ground-level ozone changes, comparing 1990s to 2020s. METHODS This study assessed future numbers of asthma emergency depart...

The factors involved in evaluations of effects of volatile organic compound (VOC) and oxides of nitrogen emissions from motor vehicles on ground-level ozone are reviewed. The chemical basis for ozone formation, the computer models and chemical mechanisms used for predicting ozone impacts, and methods for quantifying differences among VOCs in their ozone impacts, are discussed. It is recommended...

Ground-based lidars are suitable for long-term ozone monitoring as a complement to satellite and ozonesonde measurements. However, current ground-based lidars are unable to consistently measure ozone below 500 m above ground level (AGL) due to both engineering issues and high retrieval sensitivity to various measurement errors. In this paper, we present our instrument design, retrieval techniqu...

Ground-level ozone is a dangerous pollutant for which the prediction of the concentration could be of great importance. In this paper, we present and compare three fuzzy models aiming the forecasting of ground-level ozone concentration. The models apply Takagi-Sugeno, respective LESFRI fuzzy inference techniques and were generated using the ANFIS method of the Matlab’s Fuzzy Logic ToolBox, resp...

Background & Aims of the Study: Ozone is a summer pollutant which can cause respiratory complications, eye burning sensation and failure of immune defense against infectious diseases. Ahvaz city (southwestern Iran) is one of the seven polluted Iranian metropolises. In this study we examined the health impacts of ozone pollution in Ahvaz city during years 2010 and 2011. Ma...