| DOI: | 10.1016/j.atmosenv.2017.12.028
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| Scopus记录号: | 2-s2.0-85039711971
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| 论文题名: | City-level variations in NOx emissions derived from hourly monitoring data in Chicago |
| 作者: | de Foy B
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| 刊名: | Atmospheric Environment
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| ISSN: | 0168-2563
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| EISSN: | 1573-515X
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| 出版年: | 2018
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| 卷: | 176 | | 起始页码: | 128
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| 结束页码: | 139
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| 语种: | 英语
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| 英文关键词: | Diurnal profiles
; Emission inventory
; Monitoring data
; NOx
; Regression analysis
; Temporal variations
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| Scopus关键词: | Air quality
; Boundary layers
; Linear regression
; Monitoring
; Nitrogen oxides
; Regression analysis
; Surface measurement
; Traffic congestion
; Urban growth
; Vehicles
; Air quality systems
; Boundary layer heights
; Diurnal profiles
; Emission inventories
; Multiple linear regression models
; Temporal variation
; United States of America
; Vehicle-miles traveled
; Air pollution control
; nitrogen oxide
; ozone
; air quality
; diurnal variation
; emission
; emission control
; emission inventory
; nitrogen oxides
; pollution monitoring
; regression analysis
; temporal variation
; traffic emission
; urban area
; air monitoring
; air quality
; Article
; boundary layer
; environmental monitoring
; Illinois
; meteorology
; multiple linear regression analysis
; nitrous oxide emission
; priority journal
; residential area
; time series analysis
; uncertainty
; urban area
; Chicago
; Illinois
; United States
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| Scopus学科分类: | Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
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| 英文摘要: | Control on emissions of nitrogen oxides (NOx) in the United States of America have led to reductions in concentrations in urban areas by up to a factor of two in the last decade. The Air Quality System monitoring network provides surface measurements of concentrations at hourly resolution over multiple years, revealing variations at the annual, seasonal, day of week and diurnal time scales. A multiple linear regression model was used to estimate the temporal profiles in the NOx concentrations as well as the impact of meteorology, ozone concentrations, and boundary layer heights. The model is applied to data from 2005 to 2016 available at 6 sites in Chicago, Illinois. Results confirm the 50% decrease in NOx over the length of the time series. The weekend effect is found to be stronger in more commercial areas, with 32% reductions on Saturdays and 45% on Sundays and holidays; and weaker in more residential areas with 20% reductions on Saturdays and 30% reductions on Sundays. Weekday diurnal profiles follow a double hump with emission peaks during the morning and afternoon rush hours, but only a shallow drop during the middle day. Difference in profiles from the 6 sites suggest that there are different emission profiles within the urban area. Diurnal profiles on Saturdays have less variation throughout the day and more emissions in the evening. Sundays are very different from both weekdays and Saturdays with a gradual increase until the early evening. The results suggest that in addition to vehicle type and vehicle miles traveled, vehicle speed and congestion must be taken into account to correctly quantify morning rush hour emissions and the weekend effect. © 2017 Elsevier Ltd |
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| 资源类型: | 期刊论文
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/83013
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| Appears in Collections: | 气候变化事实与影响
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作者单位: | Department of Earth and Atmospheric Sciences, Saint Louis University, St. Louis, MO, United States
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| Recommended Citation: | |
de Foy B. City-level variations in NOx emissions derived from hourly monitoring data in Chicago[J]. Atmospheric Environment,2018-01-01,176
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