Spatial representativeness of urban observation sites and hotspot identification based on CO2/CH4 vehicle-carried mobile observations
LI Ruo-nan1, WANG Jun1, LIU Yuan-ze1, CHEN Long-long1, ZHANG Mi1, CAO Chang1, QI Bing2,3, HU Ning1, XIAO Wei1
1. Center on Atmospheric Environment, Nanjing University of Information Science & Technology, Nanjing 210044, China; 2. Hangzhou Meteorological Bureau, Hangzhou 310051, China; 3. Zhejiang Lin'an Atmospheric Background National Observation and Research Station, Hangzhou 311307, China
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.
李若男, 王君, 刘远泽, 陈珑珑, 张弥, 曹畅, 齐冰, 胡凝, 肖薇. 基于车载CO2/CH4移动观测的城市站点空间代表性和热点识别研究[J]. 中国环境科学, 2023, 43(5): 2106-2118.
LI Ruo-nan, WANG Jun, LIU Yuan-ze, CHEN Long-long, ZHANG Mi, CAO Chang, QI Bing, HU Ning, XIAO Wei. Spatial representativeness of urban observation sites and hotspot identification based on CO2/CH4 vehicle-carried mobile observations. CHINA ENVIRONMENTAL SCIENCECE, 2023, 43(5): 2106-2118.
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