Using the WRF mesoscale numerical model,based on the FNL global reanalysis data of NCEP,numerical simulations with a resolution of 27,9 and 3 km were carried out on the meteorological elements in four national air qua...Using the WRF mesoscale numerical model,based on the FNL global reanalysis data of NCEP,numerical simulations with a resolution of 27,9 and 3 km were carried out on the meteorological elements in four national air quality control stations(Jinyun Mountain,Shapingba,Jiefangbei and Nanping)in the main urban area of Chongqing City in July from 2013 to 2015.The results show that at the concerned points,there was an obvious southeast dominant wind at 850 hPa.The meteorological conditions in July in the main urban area of Chongqing were favorable for the diffusion of pollutants.That is,the height of the mixed layer was higher,and the precipitation was higher;the temperature and wind speed at 850 hPa were higher.Compared with 2013 and 2014,the meteorological conditions in July 2015 were not more favorable for the diffusion of pollutants.展开更多
The distribution of VOCs concentration in the main urban area of Chongqing was simulated based on the CALPUFF model.The results show that the long-term contribution of key industrial pollution sources of VOCs in the s...The distribution of VOCs concentration in the main urban area of Chongqing was simulated based on the CALPUFF model.The results show that the long-term contribution of key industrial pollution sources of VOCs in the study area was not significant(0-0.13 mg/m^(3)),and the hourly average instantaneous contribution was significant(the maximum was up to 2.75 mg/m^(3));the hourly average concentration of VOCs in the area where the sensitive points were located rose abruptly at different times(with a maximum of 1.35 mg/m^(3)).The distribution of VOCs concentration in this area was influenced by the dominant wind,and the area where the sensitive points were located was not the area covered by the maximum landing concentration of pollutants.As the dominant wind changed,the pollution situation of the sensitive points may be worsen.展开更多
基金Supported by the Special Project for the Performance Incentive Guidance of Scientific Research Institutions in Chongqing City(cstc2021jxjl20020)。
文摘Using the WRF mesoscale numerical model,based on the FNL global reanalysis data of NCEP,numerical simulations with a resolution of 27,9 and 3 km were carried out on the meteorological elements in four national air quality control stations(Jinyun Mountain,Shapingba,Jiefangbei and Nanping)in the main urban area of Chongqing City in July from 2013 to 2015.The results show that at the concerned points,there was an obvious southeast dominant wind at 850 hPa.The meteorological conditions in July in the main urban area of Chongqing were favorable for the diffusion of pollutants.That is,the height of the mixed layer was higher,and the precipitation was higher;the temperature and wind speed at 850 hPa were higher.Compared with 2013 and 2014,the meteorological conditions in July 2015 were not more favorable for the diffusion of pollutants.
基金Supported by the Special Project for the Performance Incentive Guidance of Scientific Research Institutions in Chongqing City(cstc2021jxjl20020)。
文摘The distribution of VOCs concentration in the main urban area of Chongqing was simulated based on the CALPUFF model.The results show that the long-term contribution of key industrial pollution sources of VOCs in the study area was not significant(0-0.13 mg/m^(3)),and the hourly average instantaneous contribution was significant(the maximum was up to 2.75 mg/m^(3));the hourly average concentration of VOCs in the area where the sensitive points were located rose abruptly at different times(with a maximum of 1.35 mg/m^(3)).The distribution of VOCs concentration in this area was influenced by the dominant wind,and the area where the sensitive points were located was not the area covered by the maximum landing concentration of pollutants.As the dominant wind changed,the pollution situation of the sensitive points may be worsen.