气候变化领域集成服务门户(CCPortal): Hierarchical network design for nitrogen dioxide measurement in urban environments

CCPortal

DOI	10.1016/j.atmosenv.2020.117428
	Hierarchical network design for nitrogen dioxide measurement in urban environments
	Weissert L.; Miles E.; Miskell G.; Alberti K.; Feenstra B.; Henshaw G.S.; Papapostolou V.; Patel H.; Polidori A.; Salmond J.A.; Williams D.E.
发表日期	2020
ISSN	1352-2310
卷号	228
英文摘要	We present a management and data correction framework for low-cost electrochemical sensors for nitrogen dioxide (NO2) deployed within a hierarchical network of low-cost and regulatory-grade instruments. The framework is founded on the idea that it is possible in a suitably configured network to identify a source of reliable ‘proxy’ data for each sensor site that has a similar probability distribution of measurement values over a suitable time period, and that sensor data can be checked and corrected by comparison of the sensor data distribution with that of the proxy. The framework is rule-based and easily modified. We use the reference network to choose proxies and check proxy reliability. We demonstrate the application of this methodology to low-cost instruments that use an electrochemical NO2 sensor together with a semiconducting oxide-based sensor for ozone (O3). The three NO2 sensor response parameters (offset, O3 response slope, and NO2 response slope) which are known to vary significantly as a consequence of ambient humidity and temperature variations, we show can be estimated by minimising statistical measures of divergence between sensor-estimated and proxy NO2 distributions over a 3-day window. We show how the parameter variations and statistical divergence measures with respect to the proxy can be used to indicate error conditions. The major error is due to a diurnally-varying, spatially-correlated offset term that is large for extremes of temperature, which we show can be estimated through its spatial correlation, using sensors co-located at reference sites. With these procedures, we demonstrate measurement at nine different locations across two regions of Southern California over seven months with average root mean square error ±7.2 ppb (range over locations 4–11 ppb) without calibration other than the remote proxy comparison. We apply the procedures to a network of 56 sensors distributed across the Inland Empire and Los Angeles County regions. The results show large variations in NO2 concentration taking place on short time- and distance scales across the region. These spatiotemporal NO2 variations were not captured by the more sparsely distributed regulatory network of air monitoring stations demonstrating the need for reliable data from dense networks of monitors to supplement the existing regulatory networks. © 2020 Elsevier Ltd
关键词	Air quality sensors Calibration Low-cost sensor network Nitrogen dioxide
语种	英语
scopus关键词	Air quality; Calibration; Costs; Errors; Information management; Nitrogen oxides; Probability distributions; Sensor networks; Air monitoring stations; Hierarchical network; Low-cost sensors; Nitrogen dioxides; Semiconducting oxide; Southern California; Spatial correlations; Statistical measures; Electrochemical sensors; nitrogen dioxide; oxide; ozone; calibration; concentration (composition); correction; design; electrochemical method; error analysis; hierarchical system; humidity; measurement method; nitrogen dioxide; reliability analysis; sensor; spatial distribution; air monitoring; Article; California; comparative study; controlled study; cost control; electrochemical analysis; environmental management; environmental temperature; humidity; land use; priority journal; reliability; temperature; urban area; California; Los Angeles County; 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/249225
作者单位	School of Chemical Sciences and MacDiarmid Institute for Advanced Materials and Nanotechnology, University of Auckland, Private Bag 92019, Auckland, 1142, New Zealand; Aeroqual Ltd, 460 Rosebank Road, Avondale, Auckland, 1026, New Zealand; School of Environment, University of Auckland, Private Bag 92019, Auckland, 1142, New Zealand; South Coast Air Quality Management District, 21865 Copley Drive, Diamond BarCA 91765, United States
推荐引用方式 GB/T 7714	Weissert L.,Miles E.,Miskell G.,et al. Hierarchical network design for nitrogen dioxide measurement in urban environments[J],2020,228.
APA	Weissert L..,Miles E..,Miskell G..,Alberti K..,Feenstra B..,...&Williams D.E..(2020).Hierarchical network design for nitrogen dioxide measurement in urban environments.ATMOSPHERIC ENVIRONMENT,228.
MLA	Weissert L.,et al."Hierarchical network design for nitrogen dioxide measurement in urban environments".ATMOSPHERIC ENVIRONMENT 228(2020).