The purpose of this study was to provide effective strategies for ambient air quality management to ameliorate ambient PM10 concentrations. The study investigated the association of meteorological parameters with occurrence of PM10 episodes due to emissions from local sources. Spearman's rank correlations of atmospheric NO2 and SO2 and meteorological parameters with daily PM10 concentrations, monitored in urban centres in Changsha, were conducted. The conditional logistic regression and time-stratified case-crossover were used to analyse effects of different local sources with adjustment for different meteorological parameters. Their association with diurnal hourly ambient PM10 concentration and occurrence of PM10 episodes was determined. The results showed that the frequency and risks of occurrence of PM10 episodes were highest in winter and lowest in summer. An increase in atmospheric NO2 concentration was illustrated to be more likely to induce PM10 episode than SO2. Temperature and rainfall are key meteorological parameters to be adjusted for pollution mitigation to effectively reduce occurrence risk of PM10 episodes. The episodic risk could be mitigated by controlling emission sources of SO2 and NO2. Significant reduction in PM10 concentrations can be achieved when simultaneously adjusted for temperature or rainfall. The episodic risk could be further minimized by controlling the meteorological conditions (e.g. surface temperature, atmospheric pressure and urban ventilation) during early morning period (03:00–06:00) and by controlling fuel use and traffic during late afternoon period (17:00–18:00). Implementation of air quality management strategies proposed should be crucial to mitigate pollution risk of particulate matter episodes and to protect human health and the environment.
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