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Investigation on air pollution control strategy in Hangzhou for post-G20/pre-Asian-games period (2018–2020)

机译:杭州后G20 /亚洲游戏期间空气污染控制策略调查(2018-2020)

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For the purpose of offering a detailed atmospheric pollution control strategy to the Hangzhou government to make the major atmospheric pollutants (SO2, NO2, PM2.5 and PM10) meet the environmental regulation aim required by the 13th Five Year Plan of Hangzhou, the WRF/CMAQ model is used to simulate the pollution level over Hangzhou. Observed data from five local environmental monitoring stations in the downtown Hangzhou are selected to evaluate the performance of simulation. The indicator factors confirm the accuracy of the WRF/CMAQ modeling system. Results show the local emission sources account for 15.8%, 68.6%, 48.3% and 59.2% of the overall SO2, NO2, PM2.5 and PM10 concentration in 2017, respectively. And the research on the separate local sectors indicates traffic donates 71.6% of local NO2 emission while industry contributes 73.8%, 53.2% and 56.7% of the total local emission of SO2, PM2.5 and PM10, respectively. The more severe pollution during the wintertime was mainly due to low wet deposition, low temperature, low wind speed, prevailing wind direction, the condition of local deciduous plants and urban heat island. If the local traffic and industry are cut down by 6% and 10%, respectively, the air pollution control targets on SO2, NO2, PM2.5 and PM10 in 2020 can be hit.
机译:为杭州政府提供详细的大气污染控制策略,以使主要大气污染物(SO2,NO2,PM2.5和PM10)符合杭州13五,WRF /的环境监管目标CMAQ模型用于模拟杭州的污染水平。观察杭州市中心五个地方环境监测站的数据被选中以评估模拟的性能。指示因子确认了WRF / CMAQ建模系统的准确性。结果显示,2017年,局部排放源占15.8%,68.6%,48.3%和59.2%的总体SO2,No2,PM2.5和PM10浓度。并且对单独的当地部门的研究表明,交通捐赠了71.6%的本地NO2排放,而行业分别占SO2,PM2.5和PM10的总局部排放的73.8%,53.2%和56.7%。冬季期间污染越严重主要是由于湿沉积低,温度低,风速低,风向,当地落叶植物和城市热岛的状况。如果当地交通和工业分别被降低6%和10%,则可以击中2020年SO2,NO2,PM2.5和PM10上的空气污染控制目标。

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