Atmospheric Monitoring of Methane in Beijing Using a Mobile Observatory
Cities have multiple fugitive emission sources of methane (CH<sub>4</sub>) and policies adopted by China on replacing coal with natural gas in recent years can cause fine spatial heterogeneities at the range of kilometers within a city and also contribute to the CH<sub>4</sub>...
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doaj-5664dec2d22c4895a6b2ed78b35d27fe2020-11-24T21:26:40ZengMDPI AGAtmosphere2073-44332019-09-0110955410.3390/atmos10090554atmos10090554Atmospheric Monitoring of Methane in Beijing Using a Mobile ObservatoryWanqi Sun0Liangchun Deng1Guoming Wu2Lin Wu3Pengfei Han4Yucong MiaoBo Yao5Meteorological Observation Centre of China Meteorological Administration, 100081 Beijing, ChinaCenter for Environmental Progress, Wuhan 430070, ChinaHebei Institute of Meteorological Sciences, Shijiazhuang 050021, ChinaState Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, ChinaChinese Academy of Meteorological Sciences, 100081 Beijing, ChinaMeteorological Observation Centre of China Meteorological Administration, 100081 Beijing, ChinaCities have multiple fugitive emission sources of methane (CH<sub>4</sub>) and policies adopted by China on replacing coal with natural gas in recent years can cause fine spatial heterogeneities at the range of kilometers within a city and also contribute to the CH<sub>4</sub> inventory. In this study, a mobile observatory was used to monitor the real-time CH<sub>4</sub> concentrations at fine spatial and temporal resolutions in Beijing, the most important pilot city of energy transition. Results showed that: several point sources, such as a liquefied natural gas (LNG) power plant which has not been included in the Chinese national greenhouse gas inventory yet, can be identified; the ratio “fingerprints” (CH<sub>4</sub>:CO<sub>2</sub>) for an LNG carrier, LNG filling station, and LNG power plant show a shape of “L”; for city observations, the distribution of CH<sub>4</sub> concentration, in the range of 1940−2370 ppbv, had small variations while that in the rural area had a much higher concentration gradient; significant correlations between CO<sub>2</sub> and CH<sub>4</sub> concentrations were found in the rural area but in the urban area there were no such significant correlations; a shape of “L” of CH<sub>4</sub>:CO<sub>2</sub> ratios is obtained in the urban area in wintertime and it is assigned to fugitive emissions from LNG sources. This mobile measurement methodology is capable of monitoring point and non-point CH<sub>4</sub> sources in Beijing and the observation results could improve the CH<sub>4</sub> inventory and inform relevant policy-making on emission reduction in China.https://www.mdpi.com/2073-4433/10/9/554mobile measurementmethaneatmospheric concentrationsource apportionment |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Wanqi Sun Liangchun Deng Guoming Wu Lin Wu Pengfei Han Yucong Miao Bo Yao |
spellingShingle |
Wanqi Sun Liangchun Deng Guoming Wu Lin Wu Pengfei Han Yucong Miao Bo Yao Atmospheric Monitoring of Methane in Beijing Using a Mobile Observatory Atmosphere mobile measurement methane atmospheric concentration source apportionment |
author_facet |
Wanqi Sun Liangchun Deng Guoming Wu Lin Wu Pengfei Han Yucong Miao Bo Yao |
author_sort |
Wanqi Sun |
title |
Atmospheric Monitoring of Methane in Beijing Using a Mobile Observatory |
title_short |
Atmospheric Monitoring of Methane in Beijing Using a Mobile Observatory |
title_full |
Atmospheric Monitoring of Methane in Beijing Using a Mobile Observatory |
title_fullStr |
Atmospheric Monitoring of Methane in Beijing Using a Mobile Observatory |
title_full_unstemmed |
Atmospheric Monitoring of Methane in Beijing Using a Mobile Observatory |
title_sort |
atmospheric monitoring of methane in beijing using a mobile observatory |
publisher |
MDPI AG |
series |
Atmosphere |
issn |
2073-4433 |
publishDate |
2019-09-01 |
description |
Cities have multiple fugitive emission sources of methane (CH<sub>4</sub>) and policies adopted by China on replacing coal with natural gas in recent years can cause fine spatial heterogeneities at the range of kilometers within a city and also contribute to the CH<sub>4</sub> inventory. In this study, a mobile observatory was used to monitor the real-time CH<sub>4</sub> concentrations at fine spatial and temporal resolutions in Beijing, the most important pilot city of energy transition. Results showed that: several point sources, such as a liquefied natural gas (LNG) power plant which has not been included in the Chinese national greenhouse gas inventory yet, can be identified; the ratio “fingerprints” (CH<sub>4</sub>:CO<sub>2</sub>) for an LNG carrier, LNG filling station, and LNG power plant show a shape of “L”; for city observations, the distribution of CH<sub>4</sub> concentration, in the range of 1940−2370 ppbv, had small variations while that in the rural area had a much higher concentration gradient; significant correlations between CO<sub>2</sub> and CH<sub>4</sub> concentrations were found in the rural area but in the urban area there were no such significant correlations; a shape of “L” of CH<sub>4</sub>:CO<sub>2</sub> ratios is obtained in the urban area in wintertime and it is assigned to fugitive emissions from LNG sources. This mobile measurement methodology is capable of monitoring point and non-point CH<sub>4</sub> sources in Beijing and the observation results could improve the CH<sub>4</sub> inventory and inform relevant policy-making on emission reduction in China. |
topic |
mobile measurement methane atmospheric concentration source apportionment |
url |
https://www.mdpi.com/2073-4433/10/9/554 |
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