| The regional and complex air pollution characteristics have emerged in the Pear River Delta region, and already received widespread attentions from both scientists and policy-makers. Air quality simulation is an important way to analyze regional air pollution formation characteristics, and to conduct the research of pollution control strategy setup. In this study, a newly develop regional emission inventory, a localized emission processing model, and the multi-scale air quality simulation model (CMAQ) were linked together to build a PRD-based regional air quality simulation system, and a preliminary validation by comparing the observed with simulated major pollutant concentrations was carried out based upon the modeling system.First, considering the shortcomings and limitations of the existing PRD regional emission inventories, this study used the newly developed local or domestic emission factors, supported by a large amount of activity data from local emission sources, to develop a 2006-based PRD regional emission inventory including the power plants, industrial sources, non-road mobile sources and other sources, with the help from other members in our research group for mobile and biogenic sources. The results show that the total emissions of SO2, NOx, CO, PM10 and PM2.5 and VOC in the PRD region for the year 2006 are about 6.7×105 t, 8.8×105 t, 3.9×106 t, 6.7×105 t, 3.4×105 t and 1.2×106 t, respectively. Power plants share the largest contribution of SO2 and NOx, accounting for 49.6% and 37.7% of total emissions, respectivelThe on-road mobile sources are the largest categories for CO and VOC emissions, aresponsible for 67.4% and 41.1% of total emissions, respectively. The largest categories of PMy. nd 10 emissions were fugitive dust sources, sharing 37.7% of total emissions. While for the PM2.5 emissions, industrial sources were the highest emission ones, and account for 35.7% of the total emissions.Second, as the basis of SMOKE (Sparse Matrix Operator Kernel Emissions) emission processing model, developed by USPEA, this study compiled the local source classification codes (SCC), area code, local temporal and spatial profiles, and other localized emission information, to develop a localized, SMOKE–PRD model. The SMOKE-PRD model can conveniently and accurately process sector-based emissions into the model-ready emissions input files for the use of regional air quality models such as CMAQ model.Finally, the PRD regional air quality model system with using Models-3/CMAQ model as chemistry-transport model was established. A preliminary validation study was conducted for the period of October 2006, by comparing the simulated results from the model system with the oberseved data from regional air quality monitoring network. The results showed that the PRD regional Models-3/CMAQ model system was capable of reasonably simulating the SO2, NO2, PM10 and O3 concentration andits spatial distribution characteristic; the simulation results at the most of monitoring sites were within 50% error ranges, indicating that the system has good reliability and can basically meet the needs for the PRD regional air quality simulation and pollution control scenario analysis.
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