气候变化领域集成服务门户(CCPortal): Estimating power plant CO2 emission using OCO-2 XCO2 and high resolution WRF-Chem simulations

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DOI	10.1088/1748-9326/ab25ae
	Estimating power plant CO2 emission using OCO-2 XCO2 and high resolution WRF-Chem simulations
	Zheng T.; Nassar R.; Baxter M.
发表日期	2019
ISSN	17489318
卷号	14 期号:8
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 ktCO2/day, and our estimated value at 25.82-26.47 ktCO2/day using OCO-2 v8 data, and 22.09-22.80 ktCO2/day using v9 data. At Ghent, KY, USA, our estimations using three versions (v7, v8, and v9) range from 9.84-20.40 ktCO2/day, which are substantially lower than the reported value (29.17 ktCO2/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. © Her Majesty, the Queen in Right of Canada, as represented by the Minister of the Environment, 2019.
英文关键词	CO2; power plant carbon dioxide emission; WRF-Chem simulations
语种	英语
scopus关键词	Binary alloys; Carbon dioxide; Coal combustion; Fossil fuels; Global warming; Industrial poisons; Jacobian matrices; Maximum likelihood estimation; Potassium alloys; Weather forecasting; Yttrium alloys; Carbon dioxide emissions; Chemistry transport model; Coal-burning power plants; Fossil fuel combustion; Meteorological simulations; Simulation based approaches; Weather research and forecasting; WRF-Chem simulations; Fossil fuel power plants; accuracy assessment; burning; carbon dioxide; carbon emission; chemical composition; coal combustion; maximum likelihood analysis; pollutant transport; power plant; simulation; Kansas; United States
来源期刊	Environmental Research Letters
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/154486
作者单位	Department of Geography, Institute for Great Lakes Research, Central Michigan University, Mount Pleasant, MI, United States; Climate Research Division, Environment and Climate Change Canada, Toronto, ON, Canada; Department of Earth and Atmospheric Sciences, Central Michigan University, Mount Pleasant, MI, United States
推荐引用方式 GB/T 7714	Zheng T.,Nassar R.,Baxter M.. Estimating power plant CO2 emission using OCO-2 XCO2 and high resolution WRF-Chem simulations[J],2019,14(8).
APA	Zheng T.,Nassar R.,&Baxter M..(2019).Estimating power plant CO2 emission using OCO-2 XCO2 and high resolution WRF-Chem simulations.Environmental Research Letters,14(8).
MLA	Zheng T.,et al."Estimating power plant CO2 emission using OCO-2 XCO2 and high resolution WRF-Chem simulations".Environmental Research Letters 14.8(2019).