Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.5194/acp-18-3387-2018 |
High-resolution quantification of atmospheric CO2 mixing ratios in the Greater Toronto Area, Canada | |
Pugliese, Stephanie C.1; Murphy, Jennifer G.1; Vogel, Felix R.2,4; Moran, Michael D.3; Zhang, Junhua3; Zheng, Qiong3; Stroud, Craig A.3; Ren, Shuzhan3; Worthy, Douglas4; Broquet, Gregoire2 | |
2018-03-08 | |
发表期刊 | ATMOSPHERIC CHEMISTRY AND PHYSICS |
ISSN | 1680-7316 |
EISSN | 1680-7324 |
出版年 | 2018 |
卷号 | 18期号:5页码:3387-3401 |
文章类型 | Article |
语种 | 英语 |
国家 | Canada; France |
英文摘要 | Many stakeholders are seeking methods to reduce carbon dioxide (CO2) emissions in urban areas, but reliable, high-resolution inventories are required to guide these efforts. We present the development of a high-resolution CO2 inventory available for the Greater Toronto Area and surrounding region in Southern Ontario, Canada (area of similar to 2.8 x 10(5) km(2), 26% of the province of Ontario). The new SOCE (Southern Ontario CO2 Emissions) inventory is available at the 2.5 x 2.5 km spatial and hourly temporal resolution and characterizes emissions from seven sectors: area, residential natural-gas combustion, commercial natural-gas combustion, point, marine, on-road, and off-road. To assess the accuracy of the SOCE inventory, we developed an observation-model framework using the GEM-MACH chemistry-transport model run on a high-resolution grid with 2.5 km grid spacing coupled to the Fossil Fuel Data Assimilation System (FFDAS) v2 inventories for anthropogenic CO2 emissions and the European Centre for Medium-Range Weather Forecasts (ECMWF) land carbon model C-TESSEL for biogenic fluxes. A run using FFDAS for the Southern Ontario region was compared to a run in which its emissions were replaced by the SOCE inventory. Simulated CO2 mixing ratios were compared against in situ measurements made at four sites in Southern Ontario - Downsview, Hanlan's Point, Egbert and Turkey Point - in 3 winter months, January-March 2016. Model simulations had better agreement with measurements when using the SOCE inventory emissions versus other inventories, quantified using a variety of statistics such as correlation coefficient, root-meansquare error, and mean bias. Furthermore, when run with the SOCE inventory, the model had improved ability to capture the typical diurnal pattern of CO2 mixing ratios, particularly at the Downsview, Hanlan's Point, and Egbert sites. In addition to improved model-measurement agreement, the SOCE inventory offers a sectoral breakdown of emissions, allowing estimation of average time-of-day and day-of-week contributions of different sectors. Our results show that at night, emissions from residential and commercial natural-gas combustion and other area sources can contribute > 80% of the CO2 enhancement, while during the day emissions from the on-road sector dominate, accounting for > 70% of the enhancement. |
领域 | 地球科学 |
收录类别 | SCI-E |
WOS记录号 | WOS:000426918800003 |
WOS关键词 | MULTISCALE GEM MODEL ; EMISSIONS ; FLUXES |
WOS类目 | Environmental Sciences ; Meteorology & Atmospheric Sciences |
WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/29467 |
专题 | 地球科学 |
作者单位 | 1.Univ Toronto, Dept Chem, 80 St George St, Toronto, ON M5S 3H6, Canada; 2.Univ Paris Saclay, CEA CNRS UVSQ, Lab Sci Climat & Environm, Paris, France; 3.Environm & Climate Change Canada, Air Qual Res Div, 4905 Dufferin St, Toronto, ON M3H 5T4, Canada; 4.Environm & Climate Change Canada, Climate Res Div, 4905 Dufferin St, Toronto, ON M3H 5T4, Canada |
推荐引用方式 GB/T 7714 | Pugliese, Stephanie C.,Murphy, Jennifer G.,Vogel, Felix R.,et al. High-resolution quantification of atmospheric CO2 mixing ratios in the Greater Toronto Area, Canada[J]. ATMOSPHERIC CHEMISTRY AND PHYSICS,2018,18(5):3387-3401. |
APA | Pugliese, Stephanie C..,Murphy, Jennifer G..,Vogel, Felix R..,Moran, Michael D..,Zhang, Junhua.,...&Broquet, Gregoire.(2018).High-resolution quantification of atmospheric CO2 mixing ratios in the Greater Toronto Area, Canada.ATMOSPHERIC CHEMISTRY AND PHYSICS,18(5),3387-3401. |
MLA | Pugliese, Stephanie C.,et al."High-resolution quantification of atmospheric CO2 mixing ratios in the Greater Toronto Area, Canada".ATMOSPHERIC CHEMISTRY AND PHYSICS 18.5(2018):3387-3401. |
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