Yapay Zeka Hızlı Bakış & Çıkarımlar
AI InsightTherefore, the pollutants emission should be strictly regulated during the polluted period.Moreover, ozone pollution is becoming more obvious during summer time, which might be a major pollutantafter particulate pollution is under control.
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Özet
Severe air pollution, especially particulate pollution, is a distressful problem for many regions. This study focusedon a respective inland area-Hunan province China, which was surrounded by mountains in three sides.This unique characteristic of terrain contributed largely to the heavy pollution level. We used Multiple LinearRegression (MLR) model, Artificial Neutral Network (ANN) model and the Hybrid Single Paricle LagrangianIntegrated Trajectory Model to study pollution characteristics of PM2.5. The results showed that the meteorologicalparameters were correlated with PM2.5 concentration and ANN model performed better than MLR modelin predicting PM2.5 concentrations in Hunan. According to the trajectory, several peaks were observed inJanuary. The first one occurred at the beginning of January. We supposed that the firework used to celebrate theNew Year accounted for the climb of PM2.5 concentration. Moreover, peaks were found in the same day in 14cities during heavy polluted period. Based on the trajectory, we found that there were successive air massescoming from the northern or northwest China entered into Hunan in January. The pocket-like terrain of Hunanled to the stagnation of air masses causing the air pollution. Besides, the trajectories also implied that the airmasses would bypass Changsha, Zhuzhou and Xiangtan, which were regarded as pollution sources, beforereaching other cities. Therefore, the pollutants emission should be strictly regulated during the polluted period.Moreover, ozone pollution is becoming more obvious during summer time, which might be a major pollutantafter particulate pollution is under control.