"Evaluate and control the Total Quality of Mobile Emission"2016
「"Evaluate and control the Total Quality of Mobile Emission"2016」於資料集「EPQSummary_Air」由單位「行政院環境保護署」的郭先生所提供，聯繫電話是02-2311-7722 EXT.2399，最近更新時間為：2022-01-15 01:13:50。 欄位Project Title的內容是"Evaluate and control the Total Quality of Mobile Emission" ， 欄位Project Subject的內容是"This project focuses on the estimation of the total emissions of major air pollutants from mobile sources in 2015 and 2016. To renew the parameter source of mobile pollutants emission estimation model, we evaluate the accuracy of activity intensity, which is calculated by fuel consumption, and zero mileage degradation rate. Furthermore, in order to analyze the impact of mobile pollution sources on air quality, we use the photochemical station hourly data and Positive Matrix Factorization (PMF) model to estimate the source contributions of mobile pollution, and discuss the relationship between mobile source and distribution of PM2.5. The Real-world on-road measurements and data analysis of various types of vehicles on different road grades were completed. The Real-world on-road measurement results were also compared to emission factors of Mobile Taiwan 2.0. On the other hand, this project also focuses on mobile pollution control strategy, including the analysis of domestic and foreign mobile pollution control strategies, related reduction scenarios and the feasibility of implementation. 1. The estimation of the total emissions of major air pollutants from mobile sources in 2015 and 2016 was completed. The results show (that) emissions of TSP, PM10, PM2.5, SOx, NOx, THC, NMHC, CO in 2016 were slightly reduced compared with 2015. This reduction, which was associated with activity intensity and emission factors, shows significantly on NMHC and CO by 6.26% and 6.24%. The primary cause of this reduction is 20% decrease of two Stroke Cycle Scooters in calculation of activity intensity.2. Air quality analysis we investigated the difference of percentage of mobile source contributions between “high PM2.5 episode” and “non-high PM2.5 episode” through analyzing monitoring data collected from Wanhua air quality monitoring station (AQMS). After applied statistical analysis, we found that there was no significant difference between the two episodes. Besides, we also analyzed the high PM2.5 episode occurring on February 5th in 2015. We infer that the PM2.5 level was not only mainly affected by mobile sources but also other factors on that day. 3. According to the results obtained from Pearson correlation analysis and cluster analysis, we found that CO, which is a monitoring item of AQMSs, has the most similar temporal variation to mobile sources temporal variation. Furthermore, we also investigate the PM2.5 variation of Puli and Zhudong station from 2014 to 2016. The results showed that the decrease of PM2.5 of Puli station in 2016 may have a lower correlation with mobile sources but higher correlation with meteorological factors. We also applied CMAQ model to simulate the impact from mobile sources to PM2.5 level in Puli area. We infer that the decrease of PM2.5 of Puli station in 2016 may have a lower correlation with mobile sources as well.4. In the past project, Portable Emission Measurement System (PEMS) tests were performed in order to investigate the impact of road grade on on-road exhaust emissions of passenger vehicles. The results show road grade was found to have a significant impact on vehicle exhaust emissions, especially, have higher emission factors of CO2 and FC of gasoline passenger cars on urban road, when speed lower than 30km/h. Furthermore, the real world emissions of CO, HC and NOx shows highest emission factors from Euro 3 gasoline passenger cars. The HC and NOx emission factors of diesel passenger cars were higher than gasoline passenger cars. 5. Real-world on-road measurements for gasoline cars were performed. Comparisons between Real-world on-road measurements and Mobile Taiwan 2.0 emission factors shows that of the Euro 3 and Euro 4 gasoline cars are similar to MT-2.0 model. But significant differences were found in emission factors of NOx for several speed ranges.6. The result showed that the Air Quali..." ， 欄位Project Year的內容是2016 ， 欄位Organizer的內容是"Department of Air Quality Protection ＆amp; Noise Control" ， 欄位Executive Unit的內容是"景丰科技股份有限公司" ， 欄位Reporting download URL的內容是https://epq.epa.gov.tw/project/filedownload.aspx?fid=159115 ， 欄位Publish Date的內容是20180201 。
Project Title
"Evaluate and control the Total Quality of Mobile Emission"
Project Subject
"This project focuses on the estimation of the total emissions of major air pollutants from mobile sources in 2015 and 2016. To renew the parameter source of mobile pollutants emission estimation model, we evaluate the accuracy of activity intensity, which is calculated by fuel consumption, and zero mileage degradation rate. Furthermore, in order to analyze the impact of mobile pollution sources on air quality, we use the photochemical station hourly data and Positive Matrix Factorization (PMF) model to estimate the source contributions of mobile pollution, and discuss the relationship between mobile source and distribution of PM2.5. The Real-world on-road measurements and data analysis of various types of vehicles on different road grades were completed. The Real-world on-road measurement results were also compared to emission factors of Mobile Taiwan 2.0. On the other hand, this project also focuses on mobile pollution control strategy, including the analysis of domestic and foreign mobile pollution control strategies, related reduction scenarios and the feasibility of implementation. 1. The estimation of the total emissions of major air pollutants from mobile sources in 2015 and 2016 was completed. The results show (that) emissions of TSP, PM10, PM2.5, SOx, NOx, THC, NMHC, CO in 2016 were slightly reduced compared with 2015. This reduction, which was associated with activity intensity and emission factors, shows significantly on NMHC and CO by 6.26% and 6.24%. The primary cause of this reduction is 20% decrease of two Stroke Cycle Scooters in calculation of activity intensity.2. Air quality analysis we investigated the difference of percentage of mobile source contributions between “high PM2.5 episode” and “non-high PM2.5 episode” through analyzing monitoring data collected from Wanhua air quality monitoring station (AQMS). After applied statistical analysis, we found that there was no significant difference between the two episodes. Besides, we also analyzed the high PM2.5 episode occurring on February 5th in 2015. We infer that the PM2.5 level was not only mainly affected by mobile sources but also other factors on that day. 3. According to the results obtained from Pearson correlation analysis and cluster analysis, we found that CO, which is a monitoring item of AQMSs, has the most similar temporal variation to mobile sources temporal variation. Furthermore, we also investigate the PM2.5 variation of Puli and Zhudong station from 2014 to 2016. The results showed that the decrease of PM2.5 of Puli station in 2016 may have a lower correlation with mobile sources but higher correlation with meteorological factors. We also applied CMAQ model to simulate the impact from mobile sources to PM2.5 level in Puli area. We infer that the decrease of PM2.5 of Puli station in 2016 may have a lower correlation with mobile sources as well.4. In the past project, Portable Emission Measurement System (PEMS) tests were performed in order to investigate the impact of road grade on on-road exhaust emissions of passenger vehicles. The results show road grade was found to have a significant impact on vehicle exhaust emissions, especially, have higher emission factors of CO2 and FC of gasoline passenger cars on urban road, when speed lower than 30km/h. Furthermore, the real world emissions of CO, HC and NOx shows highest emission factors from Euro 3 gasoline passenger cars. The HC and NOx emission factors of diesel passenger cars were higher than gasoline passenger cars. 5. Real-world on-road measurements for gasoline cars were performed. Comparisons between Real-world on-road measurements and Mobile Taiwan 2.0 emission factors shows that of the Euro 3 and Euro 4 gasoline cars are similar to MT-2.0 model. But significant differences were found in emission factors of NOx for several speed ranges.6. The result showed that the Air Quali..."
Project Year
2016
Organizer
"Department of Air Quality Protection ＆amp; Noise Control"
Executive Unit
"景丰科技股份有限公司"
Reporting download URL
Publish Date
20180201
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