基于车载CO<sub>2</sub>/CH<sub>4</sub>移动观测的城市站点空间代表性和热点识别研究

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Abstract The road CO₂ and CH₄ concentrations in Hangzhou during 2020 winter and 2021 spring were observed using vehicle-carried laser gas analyzer. The results indicate that:(1) the ΔCO₂ magnitude (road surface atmospheric concentration minus urban background concentration) in different areas of the city was in the order of industrial area > commercial residential area > riverside residential area > natural scenic area, and the ΔCH₄was in the order of riverside residential area > commercial residential area > industrial area > natural scenic area, indicating that the CO₂ and CH₄ emission sources were different; (2) the atmospheric CO₂ and CH₄ concentrations were more than 30% higher near emission hotspots than in the surrounding areas, having obvious diurnal difference; (3) the CH₄ and CO₂ concentration ratio in Hangzhou tunnel was (0.000912±0.00002), suggesting that gasoline and diesel vehicles were dominant in Hangzhou; and (4) the observations of CO₂ concentration from the viaducts with the heights of 20~30m can represent the impact of impervious surface within the radius from 2100 to 3100m, and the observations on ordinary roads can represent the impacts of vegetation within the radius from 1900 to 6100m. Obviously, the radius of 2000m is a suitable spatial interval for deploying high-density network observations.

Key words： CO₂ and CH₄ mobile measurements hot spot identification spatial representation

Received: 08 October 2022

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	LI Ruo-nan
	WANG Jun
	LIU Yuan-ze
	CHEN Long-long
	ZHANG Mi
	CAO Chang
	QI Bing
	HU Ning
	XIAO Wei

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LI Ruo-nan,WANG Jun,LIU Yuan-ze等. Spatial representativeness of urban observation sites and hotspot identification based on CO₂/CH₄ vehicle-carried mobile observations[J]. CHINA ENVIRONMENTAL SCIENCECE, 2023, 43(5): 2106-2118.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2023/V43/I5/2106

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