Impact of Meteorology and Aerosol Sources on PM 2.5 and Oxidative Potential Variability and Levels in China
China has long-term high PM 2.5 levels, and its Oxidative Potential (OP) is worth studying as it may unravel the impacts of aerosol pollution on public health better than PM 2.5 alone. OP and PM 2.5 are influenced by meteorological factors, anthropogenic emissions sources and atmospheric aging. Although their impact on PM 2.5 have been studied, OP measurements only recently became available and on a limited scale, as they require considerable technical expertise and resources. For this, the joint relationship between PM 2.5 and OP for a wide range of meteorological conditions and emissions profiles remain elusive. Towards this, we estimated PM 2.5 and OP over China using the Danish Eulerian Hemispheric Model (DEHM) system with meteorological input from WRF weather forecast model. It was found that higher values of PM 2.5 and OP were primarily concentrated in urban agglomerations in the central and eastern regions of China, while lower values were found in the western and northeastern regions. Furthermore, the probability density function revealed that about 40 % of areas in China had an annual average PM 2.5 concentrations exceeding the Chinese concentrations limit; 36 % of the regions have OP below 1 ππππ πππ β1 π β3, 41 % have OP between 1 and 2 ππππ πππ β1 π β3, and 23 % have OP above 2 ππππ πππ β1 π β3. Analysis of the simulations indicate that meteorological conditions and anthropogenic emission contributed 46 % (65 %) and 54 % (35 %) to the PM 2.5 concentration (OP) variability. The emission sensitivity analysis also highlighted PM 2.5 and OP levels are mostly determined by secondary aerosol formation and biomass burning.
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