气候变化领域集成服务门户(CCPortal): The U.S. EPA wildland fire sensor challenge: Performance and evaluation of solver submitted multi-pollutant sensor systems

CCPortal

DOI	10.1016/j.atmosenv.2020.118165
	The U.S. EPA wildland fire sensor challenge: Performance and evaluation of solver submitted multi-pollutant sensor systems
	Landis M.S.; Long R.W.; Krug J.; Colón M.; Vanderpool R.; Habel A.; Urbanski S.P.
发表日期	2021
ISSN	1352-2310
卷号	247
英文摘要	Wildland fires can emit substantial amounts of air pollution that may pose a risk to those in proximity (e.g., first responders, nearby residents) as well as downwind populations. Quickly deploying air pollution measurement capabilities in response to incidents has been limited to date by the cost, complexity of implementation, and measurement accuracy. Emerging technologies including miniaturized direct-reading sensors, compact microprocessors, and wireless data communications provide new opportunities to detect air pollution in real time. The U.S. Environmental Protection Agency (EPA) partnered with other U.S. federal agencies (CDC, NASA, NPS, NOAA, USFS) to sponsor the Wildland Fire Sensor Challenge. EPA and partnering organizations share the desire to advance wildland fire air measurement technology to be easier to deploy, suitable to use for high concentration events, and durable to withstand difficult field conditions, with the ability to report high time resolution data continuously and wirelessly. The Wildland Fire Sensor Challenge encouraged innovation worldwide to develop sensor prototypes capable of measuring fine particulate matter (PM2.5), carbon monoxide (CO), carbon dioxide (CO2), and ozone (O3) during wildfire episodes. The importance of using federal reference method (FRM) versus federal equivalent method (FEM) instruments to evaluate performance in biomass smoke is discussed. Ten solvers from three countries submitted sensor systems for evaluation as part of the challenge. The sensor evaluation results including sensor accuracy, precision, linearity, and operability are presented and discussed, and three challenge winners are announced. Raw solver submitted PM2.5 sensor accuracies of the winners ranged from ~22 to 32%, while smoke specific EPA regression calibrations improved the accuracies to ~75–83% demonstrating the potential of these systems in providing reasonable accuracies over conditions that are typical during wildland fire events. © 2020
关键词	Carbon dioxide Carbon monoxide Ozone Particulate matter Sensor performance Wildland fire smoke
语种	英语
scopus关键词	Air pollution; Carbon dioxide; Carbon monoxide; Fire protection; Fires; NASA; Pollution control; Smoke; Air pollution measurements; Emerging technologies; Federal equivalent methods; Federal reference methods; Fine particulate matter (PM2.5); Measurement technologies; U.S. Environmental Protection Agency; Wireless data communication; Environmental Protection Agency; carbon dioxide; carbon monoxide; ozone; air quality; air sampling; atmospheric pollution; biomass burning; carbon dioxide; carbon monoxide; ozone; particulate matter; sensor; wildfire; Article; biomass; calibration; concentration (parameter); measurement accuracy; particulate matter 2.5; priority journal; smoke; wildfire; United States
来源期刊	ATMOSPHERIC ENVIRONMENT
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/248593
作者单位	US EPA, Office of Research and Development, Research Triangle ParkNC, United States; Jacobs Technology Inc., Research Triangle ParkNC, United States; U.S. Forest Service, Rocky Mountain Research Station, Missoula, MT, United States
推荐引用方式 GB/T 7714	Landis M.S.,Long R.W.,Krug J.,et al. The U.S. EPA wildland fire sensor challenge: Performance and evaluation of solver submitted multi-pollutant sensor systems[J],2021,247.
APA	Landis M.S..,Long R.W..,Krug J..,Colón M..,Vanderpool R..,...&Urbanski S.P..(2021).The U.S. EPA wildland fire sensor challenge: Performance and evaluation of solver submitted multi-pollutant sensor systems.ATMOSPHERIC ENVIRONMENT,247.
MLA	Landis M.S.,et al."The U.S. EPA wildland fire sensor challenge: Performance and evaluation of solver submitted multi-pollutant sensor systems".ATMOSPHERIC ENVIRONMENT 247(2021).