Exploring Effective Chemical Indicators for Petrochemical Emissions with Network Measurements Coupled with Model Simulations
A large petrochemical complex, dubbed Petro–complex, situated in a rather rural region of Taiwan, was used as a test bed to detect emissions from the Petro–complex to its surroundings. Hourly observations of speciated non–methane hydrocarbons (NMHCs) by the photochemical assessment monitoring statio...
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MDPI AG
2020-04-01
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| Series: | Atmosphere |
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| Online Access: | https://www.mdpi.com/2073-4433/11/5/439 |
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| author | Yu-Huei Tong Pei-Yu Hung Yuan-Chang Su Julius S. Chang Jia-Lin Wang |
| author_facet | Yu-Huei Tong Pei-Yu Hung Yuan-Chang Su Julius S. Chang Jia-Lin Wang |
| author_sort | Yu-Huei Tong |
| collection | DOAJ |
| description | A large petrochemical complex, dubbed Petro–complex, situated in a rather rural region of Taiwan, was used as a test bed to detect emissions from the Petro–complex to its surroundings. Hourly observations of speciated non–methane hydrocarbons (NMHCs) by the photochemical assessment monitoring stations (PAMSs), as well as the total amounts of NMHCs, SO<sub>2</sub>, and NO<sub>x</sub> provided by the air quality stations (AQSs), were utilized to find useful petro–emission indication methods. The analytical aspect of NMHCs either as a speciated form or as total amounts was demonstrated through field comparison to illustrate data quality. Using ethyne to offset traffic influence, the ratios of ethene to ethyne (acetylene) (E/A) and propene to ethyne (P/A) were proven to be effective indicators of petro–emissions owing to pronounced emissions of ethene and propene, revealed as tall spikes in PAMS measurements. SO<sub>2</sub> and NO<sub>x</sub> were also explored as petro–emission indicators mainly for stack sources. By coordinating with three–dimensional modeling, SO<sub>2</sub> from petro–emissions could be distinguished from other prominent sources, such as coal–fired power plants. An attempt was also made to use SO<sub>2</sub> and NO<sub>x</sub> as indicators of broader petro–emissions with stringent criteria to minimize traffic interference and increase specificity. Similar findings were observed with the three indicators, that is, volatile organic compounds (VOCs) ratios, SO<sub>2</sub> and NO<sub>x</sub>, to identify the southwest area of the Petro–region as the most affected area, as represented by Taisi station (F2). The percent affected time of a year at F2 was 10%–14%, owing to the dominant wind field of northeast monsoonal (NEM) in the region, as compared with other sites in the east and north of 1–5%. Using VOC ratios as petro–emission indicators is more effective than using other gases, owing to the compositional advantage to minimize traffic interference. |
| first_indexed | 2024-03-10T20:12:35Z |
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| id | doaj.art-913a6b853517489bb68cfab2a1dc57b6 |
| institution | Directory Open Access Journal |
| issn | 2073-4433 |
| language | English |
| last_indexed | 2024-03-10T20:12:35Z |
| publishDate | 2020-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Atmosphere |
| spelling | doaj.art-913a6b853517489bb68cfab2a1dc57b62023-11-19T22:50:31ZengMDPI AGAtmosphere2073-44332020-04-0111543910.3390/atmos11050439Exploring Effective Chemical Indicators for Petrochemical Emissions with Network Measurements Coupled with Model SimulationsYu-Huei Tong0Pei-Yu Hung1Yuan-Chang Su2Julius S. Chang3Jia-Lin Wang4Environmental Simulation Co. Ltd., Taipei 106, TaiwanEnvironmental Simulation Co. Ltd., Taipei 106, TaiwanEnvironmental Simulation Co. Ltd., Taipei 106, TaiwanAtmospheric Sciences Research Center, University at Albany, State University of New York, 1400 Washington Ave., Albany, NY 12222, USADepartment of Chemistry, National Central University, Chungli 320, TaiwanA large petrochemical complex, dubbed Petro–complex, situated in a rather rural region of Taiwan, was used as a test bed to detect emissions from the Petro–complex to its surroundings. Hourly observations of speciated non–methane hydrocarbons (NMHCs) by the photochemical assessment monitoring stations (PAMSs), as well as the total amounts of NMHCs, SO<sub>2</sub>, and NO<sub>x</sub> provided by the air quality stations (AQSs), were utilized to find useful petro–emission indication methods. The analytical aspect of NMHCs either as a speciated form or as total amounts was demonstrated through field comparison to illustrate data quality. Using ethyne to offset traffic influence, the ratios of ethene to ethyne (acetylene) (E/A) and propene to ethyne (P/A) were proven to be effective indicators of petro–emissions owing to pronounced emissions of ethene and propene, revealed as tall spikes in PAMS measurements. SO<sub>2</sub> and NO<sub>x</sub> were also explored as petro–emission indicators mainly for stack sources. By coordinating with three–dimensional modeling, SO<sub>2</sub> from petro–emissions could be distinguished from other prominent sources, such as coal–fired power plants. An attempt was also made to use SO<sub>2</sub> and NO<sub>x</sub> as indicators of broader petro–emissions with stringent criteria to minimize traffic interference and increase specificity. Similar findings were observed with the three indicators, that is, volatile organic compounds (VOCs) ratios, SO<sub>2</sub> and NO<sub>x</sub>, to identify the southwest area of the Petro–region as the most affected area, as represented by Taisi station (F2). The percent affected time of a year at F2 was 10%–14%, owing to the dominant wind field of northeast monsoonal (NEM) in the region, as compared with other sites in the east and north of 1–5%. Using VOC ratios as petro–emission indicators is more effective than using other gases, owing to the compositional advantage to minimize traffic interference.https://www.mdpi.com/2073-4433/11/5/439petrochemical complexair quality modelingphotochemical assessment measurement station (PAMS)non–methane hydrocarbons (NMHCs) |
| spellingShingle | Yu-Huei Tong Pei-Yu Hung Yuan-Chang Su Julius S. Chang Jia-Lin Wang Exploring Effective Chemical Indicators for Petrochemical Emissions with Network Measurements Coupled with Model Simulations Atmosphere petrochemical complex air quality modeling photochemical assessment measurement station (PAMS) non–methane hydrocarbons (NMHCs) |
| title | Exploring Effective Chemical Indicators for Petrochemical Emissions with Network Measurements Coupled with Model Simulations |
| title_full | Exploring Effective Chemical Indicators for Petrochemical Emissions with Network Measurements Coupled with Model Simulations |
| title_fullStr | Exploring Effective Chemical Indicators for Petrochemical Emissions with Network Measurements Coupled with Model Simulations |
| title_full_unstemmed | Exploring Effective Chemical Indicators for Petrochemical Emissions with Network Measurements Coupled with Model Simulations |
| title_short | Exploring Effective Chemical Indicators for Petrochemical Emissions with Network Measurements Coupled with Model Simulations |
| title_sort | exploring effective chemical indicators for petrochemical emissions with network measurements coupled with model simulations |
| topic | petrochemical complex air quality modeling photochemical assessment measurement station (PAMS) non–methane hydrocarbons (NMHCs) |
| url | https://www.mdpi.com/2073-4433/11/5/439 |
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