Fan Lu, Kai Qin, Jason Blake Cohen, Qin He, Pravash Tiwari, Wei Hu, Chang Ye, Yanan Shan, Qing Xu, Shuo Wang, Qiansi Tu
{"title":"地表观测制约的山西煤矿甲烷高频排放显示排放量多于清单,与卫星反演一致","authors":"Fan Lu, Kai Qin, Jason Blake Cohen, Qin He, Pravash Tiwari, Wei Hu, Chang Ye, Yanan Shan, Qing Xu, Shuo Wang, Qiansi Tu","doi":"10.5194/egusphere-2024-1784","DOIUrl":null,"url":null,"abstract":"<strong>Abstract.</strong> This work focuses on Changzhi, Shanxi China, a city and surrounding rural region with one of the highest atmospheric concentrations of methane (CH<sub>4</sub>) world-wide (campaign-wide minimum/mean/standard deviation/max observations: 2.0, 2.9, 1.3, and 16 ppm) due to a rapid increase in the mining, production, and use of coal over the past decade. An intensive 15-day surface observation campaign of CH<sub>4</sub> is used to drive a new analytical, mass-conserving method to compute and attribute CH<sub>4</sub> emissions. Observations made in concentric circles at 1 km, 3 km, and 5 km around a high production high gas coal mine yielded emissions of 0.73, 0.28, and 0.15 ppm min<sup>-1</sup> respectively. Attribution used a 2-box mass conserving model to identify the known mine’s emissions from 0.042–5.3 ppm min<sup>-1</sup>, and a previously unidentified mine’s emission from 0.22–7.9 ppm min<sup>-1</sup>. These results demonstrate the importance of simultaneously quantifying both the spatial and temporal distribution of CH<sub>4</sub> to better control regional-scale CH<sub>4</sub> emissions. Results of the attribution are used in tandem with observations of boundary layer height to quantify policy-relevant emissions from the two coal mines as 13670±7400 kg h<sup>-1</sup> and 5070±2270 kg h<sup>-1 </sup>respectively. Both mines display a fat tail distribution, with respective 25<sup>th</sup>, median, and 75<sup>th</sup> percentile values of [870, 7500, 38700] kg h<sup>-1</sup> and [431, 1590, 7000] kg h<sup>-1</sup>. These findings are demonstrated to be higher than CH<sub>4</sub> emissions from equivalent oil and gas operations in the USA, with one about double and the other similar to day-to-day emissions inverted over 5-years using TROPOMI over the same region.","PeriodicalId":8611,"journal":{"name":"Atmospheric Chemistry and Physics","volume":"24 1","pages":""},"PeriodicalIF":5.2000,"publicationDate":"2024-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Surface Observation Constrained High Frequency Coal Mine Methane Emissions in Shanxi China Reveal More Emissions than Inventories, Consistency with Satellite Inversion\",\"authors\":\"Fan Lu, Kai Qin, Jason Blake Cohen, Qin He, Pravash Tiwari, Wei Hu, Chang Ye, Yanan Shan, Qing Xu, Shuo Wang, Qiansi Tu\",\"doi\":\"10.5194/egusphere-2024-1784\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<strong>Abstract.</strong> This work focuses on Changzhi, Shanxi China, a city and surrounding rural region with one of the highest atmospheric concentrations of methane (CH<sub>4</sub>) world-wide (campaign-wide minimum/mean/standard deviation/max observations: 2.0, 2.9, 1.3, and 16 ppm) due to a rapid increase in the mining, production, and use of coal over the past decade. An intensive 15-day surface observation campaign of CH<sub>4</sub> is used to drive a new analytical, mass-conserving method to compute and attribute CH<sub>4</sub> emissions. Observations made in concentric circles at 1 km, 3 km, and 5 km around a high production high gas coal mine yielded emissions of 0.73, 0.28, and 0.15 ppm min<sup>-1</sup> respectively. Attribution used a 2-box mass conserving model to identify the known mine’s emissions from 0.042–5.3 ppm min<sup>-1</sup>, and a previously unidentified mine’s emission from 0.22–7.9 ppm min<sup>-1</sup>. These results demonstrate the importance of simultaneously quantifying both the spatial and temporal distribution of CH<sub>4</sub> to better control regional-scale CH<sub>4</sub> emissions. Results of the attribution are used in tandem with observations of boundary layer height to quantify policy-relevant emissions from the two coal mines as 13670±7400 kg h<sup>-1</sup> and 5070±2270 kg h<sup>-1 </sup>respectively. Both mines display a fat tail distribution, with respective 25<sup>th</sup>, median, and 75<sup>th</sup> percentile values of [870, 7500, 38700] kg h<sup>-1</sup> and [431, 1590, 7000] kg h<sup>-1</sup>. 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Surface Observation Constrained High Frequency Coal Mine Methane Emissions in Shanxi China Reveal More Emissions than Inventories, Consistency with Satellite Inversion
Abstract. This work focuses on Changzhi, Shanxi China, a city and surrounding rural region with one of the highest atmospheric concentrations of methane (CH4) world-wide (campaign-wide minimum/mean/standard deviation/max observations: 2.0, 2.9, 1.3, and 16 ppm) due to a rapid increase in the mining, production, and use of coal over the past decade. An intensive 15-day surface observation campaign of CH4 is used to drive a new analytical, mass-conserving method to compute and attribute CH4 emissions. Observations made in concentric circles at 1 km, 3 km, and 5 km around a high production high gas coal mine yielded emissions of 0.73, 0.28, and 0.15 ppm min-1 respectively. Attribution used a 2-box mass conserving model to identify the known mine’s emissions from 0.042–5.3 ppm min-1, and a previously unidentified mine’s emission from 0.22–7.9 ppm min-1. These results demonstrate the importance of simultaneously quantifying both the spatial and temporal distribution of CH4 to better control regional-scale CH4 emissions. Results of the attribution are used in tandem with observations of boundary layer height to quantify policy-relevant emissions from the two coal mines as 13670±7400 kg h-1 and 5070±2270 kg h-1 respectively. Both mines display a fat tail distribution, with respective 25th, median, and 75th percentile values of [870, 7500, 38700] kg h-1 and [431, 1590, 7000] kg h-1. These findings are demonstrated to be higher than CH4 emissions from equivalent oil and gas operations in the USA, with one about double and the other similar to day-to-day emissions inverted over 5-years using TROPOMI over the same region.
期刊介绍:
Atmospheric Chemistry and Physics (ACP) is a not-for-profit international scientific journal dedicated to the publication and public discussion of high-quality studies investigating the Earth''s atmosphere and the underlying chemical and physical processes. It covers the altitude range from the land and ocean surface up to the turbopause, including the troposphere, stratosphere, and mesosphere.
The main subject areas comprise atmospheric modelling, field measurements, remote sensing, and laboratory studies of gases, aerosols, clouds and precipitation, isotopes, radiation, dynamics, biosphere interactions, and hydrosphere interactions. The journal scope is focused on studies with general implications for atmospheric science rather than investigations that are primarily of local or technical interest.