globalchange  > 气候变化与战略
DOI: 10.1016/j.atmosenv.2020.117287
论文题名:
Low-cost sensor networks and land-use regression: Interpolating nitrogen dioxide concentration at high temporal and spatial resolution in Southern California
作者: Weissert L.; Alberti K.; Miles E.; Miskell G.; Feenstra B.; Henshaw G.S.; Papapostolou V.; Patel H.; Polidori A.; Salmond J.A.; Williams D.E.
刊名: Atmospheric Environment
ISSN: 1352-2310
出版年: 2020
卷: 223
语种: 英语
英文关键词: Air quality ; Costs ; Decision trees ; Image resolution ; Nitrogen oxides ; Ozone ; Sensor networks ; Calibration algorithm ; High spatial resolution ; Land use regression ; Nitrogen dioxides ; Particular condition ; Random forest modeling ; Southern California ; Temporal and spatial ; Land use ; nitrogen dioxide ; ozone ; air quality ; atmospheric pollution ; calibration ; concentration (composition) ; interpolation ; land use ; land use change ; network analysis ; nitric oxide ; ozone ; regression analysis ; sensor ; spatial resolution ; air monitoring ; air pollutant ; air pollution ; air quality ; Article ; California ; circadian rhythm ; environment ; instrument validation ; land use ; meteorology ; prediction ; priority journal ; random forest ; spatiotemporal analysis ; toxic concentration ; wind ; California ; United States
学科: Air quality sensor network ; Land-use regression ; Nitrogen dioxide ; Ozone
中文摘要: The development of low-cost sensors and novel calibration algorithms offer new opportunities to supplement existing regulatory networks to measure air pollutants at a high spatial resolution and at hourly and sub-hourly timescales. We use a random forest model on data from a network of low-cost sensors to describe the effect of land use features on local-scale air quality, extend this model to describe the hourly-scale variation of air quality at high spatial resolution, and show that deviations from the model can be used to identify particular conditions and locations where air quality differs from the expected land-use effect. The conditions and locations under which deviations were detected conform to expectations based on general experience. © 2020 Elsevier Ltd
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/160521
Appears in Collections:气候变化与战略

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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 Bar, CA 91765, United States

Recommended Citation:
Weissert L.,Alberti K.,Miles E.,et al. Low-cost sensor networks and land-use regression: Interpolating nitrogen dioxide concentration at high temporal and spatial resolution in Southern California[J]. Atmospheric Environment,2020-01-01,223
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