Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1088/1748-9326/ab25ae |
Estimating power plant CO2 emission using OCO-2 XCO2 and high resolution WRF-Chem simulations | |
Zheng, Tao1,2; Nassar, Ray3; Baxter, Martin4 | |
2019-08-01 | |
发表期刊 | ENVIRONMENTAL RESEARCH LETTERS |
ISSN | 1748-9326 |
出版年 | 2019 |
卷号 | 14期号:8 |
文章类型 | Article |
语种 | 英语 |
国家 | USA; Canada |
英文摘要 | Anthropogenic CO2 emission from fossil fuel combustion has major impacts on the global climate. The Orbiting Carbon Observatory 2 (OCO-2) observations have previously been used to estimate individual power plant emissions with a Gaussian plume model assuming constant wind fields. The present work assesses the feasibility of estimating power plant CO2 emission using high resolution chemistry transport model simulations with OCO-2 observation data. In the new framework, 1.33 km Weather Research and Forecasting-Chem (WRF)-Chem simulation results are used to calculate the Jacobian matrix, which is then used with the OCO-2 XCO2 data to obtain power plant daily mean emission rates, through a maximum likelihood estimation. We applied the framework to the seven OCO-2 observations of near mid-to-large coal burning power plants identified in Nassar et al (2017 Geophys. Res. Lett. 44, 10045-53). Our estimation results closely match the reported emission rates at the Westar power plant (Kansas, USA), with a reported value of 26.67 ktCO(2)/day, and our estimated value at 25.82-26.47 ktCO(2)/day using OCO-2 v8 data, and 22.09-22.80 ktCO(2)/day using v9 data. At Ghent, KY, USA, our estimations using three versions (v7, v8, and v9) range from 9.84-20.40 ktCO(2)/day, which are substantially lower than the reported value (29.17 ktCO(2)/day). We attribute this difference to diminished WRF-Chem wind field simulation accuracy. The results from the seven cases indicate that accurate estimation requires accurate meteorological simulations and high quality XCO2 data. In addition, the strength and orientation (relative to the OCO-2 ground track) of the XCO2 enhancement are important for accurate and reliable estimation. Compared with the Gaussian plume model based approach, the high resolution WRF-Chem simulation based approach provides a framework for addressing varying wind fields, and possible expansion to city level emission estimation. |
英文关键词 | OCO-2 power plant carbon dioxide emission WRF-Chem simulations |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000476830400001 |
WOS关键词 | ORBITING CARBON OBSERVATORY-2 ; ATMOSPHERIC CO2 ; BOUNDARY-LAYER ; MODEL ; SYSTEM ; IMPACT ; SINKS ; UNCERTAINTIES ; RETRIEVALS ; INVERSIONS |
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/185629 |
专题 | 气候变化 |
作者单位 | 1.Cent Michigan Univ, Dept Geog, Mt Pleasant, MI 48859 USA; 2.Cent Michigan Univ, Inst Great Lakes Res, Mt Pleasant, MI 48859 USA; 3.Environm & Climate Change Canada, Climate Res Div, Toronto, ON, Canada; 4.Cent Michigan Univ, Dept Earth & Atmospher Sci, Mt Pleasant, MI 48859 USA |
推荐引用方式 GB/T 7714 | Zheng, Tao,Nassar, Ray,Baxter, Martin. Estimating power plant CO2 emission using OCO-2 XCO2 and high resolution WRF-Chem simulations[J]. ENVIRONMENTAL RESEARCH LETTERS,2019,14(8). |
APA | Zheng, Tao,Nassar, Ray,&Baxter, Martin.(2019).Estimating power plant CO2 emission using OCO-2 XCO2 and high resolution WRF-Chem simulations.ENVIRONMENTAL RESEARCH LETTERS,14(8). |
MLA | Zheng, Tao,et al."Estimating power plant CO2 emission using OCO-2 XCO2 and high resolution WRF-Chem simulations".ENVIRONMENTAL RESEARCH LETTERS 14.8(2019). |
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