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Optimization of Environmental Monitoring Sites in Shenyang City with WRF/CALPUFF Model

Owing to the rapid industrialization and urbanization in Shenyang City, the original environmental monitoring sites can not obtain a value representative of a standard index, which can reflect the current pollution condition in the city. On the basis of the distribution of industrial sites in Shenyang City and the surrounding region, three environmental monitoring sites should be changed and two new environmental monitoring sites must be constructed to cover the increasing number industrial plants and the expanding area. In this study, a California Puff model was coupled with the Weather Research and Forecasting model to better evaluate the changes in the environmental monitoring sites. The five environmental monitoring sites were determined by comparing the temporary monitoring data in the period of April 16–24, 2015, and the p, which means correlation coefficient, of the four meteorological fields, namely, wind speed, surface temperature, relative humility, and surface pressure, reached 0.53, 0.91, 0.63 and 0.72, respectively. In the evaluation of the optimized results, the values of NMBF2 were much better than those of NMBF1, with the average recorded NMBF2 values for SO2, PM10, and PM2.5 at 0.35, 0.85 and 0.70, respectively.