《Scaling relationship between CO pollution and population size over major US metropolitan statistical areas》
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- 作者
- 来源
- LANDSCAPE AND URBAN PLANNING,Vol.187,P.191-198
- 语言
- 英文
- 关键字
- Carbon monoxide; MOPITT; Urban scaling theory; National Emissions Inventory; CARBON-MONOXIDE; URBAN-POPULATION; EMISSIONS; ENERGY; MOPITT
- 作者单位
- [Zheng, Baojuan] South Dakota State Univ, Geospatial Sci Ctr Excellence, Brookings, SD 57007 USA. [de Beurs, Kirsten M.; Owsley, Braden C.] Univ Oklahoma, Dept Geog & Environm Sustainabil, Norman, OK 73019 USA. [Henebry, Geoffrey M.] Michigan State Univ, Dept Geog Environm & Spatial Sci, E Lansing, MI 48824 USA. [Henebry, Geoffrey M.] Michigan State Univ, Ctr Global Change & Earth Observat, E Lansing, MI 48823 USA. Zheng, BJ (reprint author), 11800 Emerald Falls Dr, Austin, TX 78738 USA. E-Mail: baojuan.zheng@sdstate.edu; kdebeurs@ou.edu; braden.owsley@ou.edu; henebryg@msu.edu
- 摘要
- As the world's population is projected to reach 9.7 billion by 2050, large and small cities will continue to expand. There are few studies investigating how the size of cities affects air pollution. Carbon monoxide (CO), a precursor of ozone and a by-product of incomplete combustion, is a common air pollutant. The major sources of CO in the US urban areas are motor vehicles. Here we examined the scaling relation of CO concentrations over major US metropolitan statistical areas (MSAs) using Measurement Of Pollution in The Troposphere (MOPITT) surface CO retrievals and National Emissions Inventory (NEI) data. We found significant power-law scaling relationships between CO and population (r(2) of 0.30 for MOPITT average CO concentration and r(2) of 0.71 for NEI total CO emission). We found decreasing CO trends from 2000 to 2015 using MOPITT and EPA CO ground measurements. Sublinear scaling relationships (scaling coefficient beta < 1) suggest that larger MSAs are more combustion-efficient in terms of CO emissions. We found a weaker scaling relation and smaller scaling coefficient from MOPITT CO concentrations than from NEI total CO emission data. This pattern may be attributed to the differences between the two CO datasets: annual average of monthly MOPITT CO concentration at 1 degrees by 1 degrees spatial resolution versus the NEI annual CO emissions compiled from emission inventories and estimated from mobile source emissions models. Future research is needed to investigate the capability of using satellite observations to study scaling relations between air pollutants and population.