Investigating the vertical distribution patterns of urban air pollution based on unmanned aerial vehicle gradient monitoring

Sustainable Cities and Society - Tập 86 - Trang 104144 - 2022
Chunlin Li1, Miao Liu1, Yuanman Hu1, Hao Wang2, Zaiping Xiong1, Wen Wu3, Chong Liu1,4, Chuyi Zhang1,4, Yan Du1,4
1CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, 110016, China
2Piesat Information Technology Company Limited, Beijing 100195, China
3JangHo Architecture College, Northeastern University, Shenyang 110819, China
4University of Chinese Academy of Sciences, Beijing, 100049, China

Tài liệu tham khảo

Bai, 2019, Investigation of PM2.5 absorbed with heavy metal elements, source apportionment and their health impacts in residential houses in the North-east region of China, Sustainable Cities and Society, 51, 10.1016/j.scs.2019.101690 Chen, 2018, Determination of the vertical profile of aerosol chemical species in the microscale urban environment, Environmental Pollution, 243, 1360, 10.1016/j.envpol.2018.09.081 China, M.O.E.A.E.O.T.P.S.R.O. (2021). National Urban Air Quality Daily Report. In, vol. 2022). http://mee.gov.cn/hjzl/dqhj/. Dong, 2020, Time-weighted average of fine particulate matter exposure and cause-specific mortality in China: A nationwide analysis, The Lancet Planetary Health, 4, e343, 10.1016/S2542-5196(20)30164-9 Gao, 2016, Improving air pollution control policy in China—A perspective based on cost–benefit analysis, The Science of the total environment, 543, 307, 10.1016/j.scitotenv.2015.11.037 Goel, 2016, Vertical and horizontal variability in airborne nanoparticles and their exposure around signalised traffic intersections, Environmental Pollution, 214, 54, 10.1016/j.envpol.2016.03.033 Govindaraj, M., Sandhya, V., & Gururaja, S. (2018). World Health Organization Guidelines: Partha's 101 Clinical Pearls in Pediatrics. Guan, 2022, Wintertime vertical distribution of black carbon and single scattering albedo in a semi-arid region derived from tethered balloon observations, Science of The Total Environment, 807, 10.1016/j.scitotenv.2021.150790 Guo, 2017, Variations in Growing-Season NDVI and Its Response to Permafrost Degradation in Northeast China, Sustainability, 9, 551, 10.3390/su9040551 He, 2021, Particulate matter exposure at a densely populated urban traffic intersection and crosswalk, Environmental Pollution, 268, 10.1016/j.envpol.2020.115931 Huige, 2021, Observational study of the vertical aerosol and meteorological factor distributions with respect to particulate pollution in Xi'an, Atmospheric Environment, 247, 10.1016/j.atmosenv.2021.118215 Javed, 2021, Analysis of daily and seasonal variation of fine particulate matter (PM2.5) for five cities of China, Environment, Development and Sustainability, 23, 12095, 10.1007/s10668-020-01159-1 Jiang, 2022, Does air pollution affect earnings management? Evidence from China, Pacific-Basin Finance Journal, 72, 10.1016/j.pacfin.2022.101737 Jiang, 2021, Government environmental governance, structural adjustment and air quality: A quasi-natural experiment based on the Three-year Action Plan to Win the Blue Sky Defense War, Journal of environmental management, 277, 10.1016/j.jenvman.2020.111470 Jin, 2019, A land use regression model of nitrogen dioxide and fine particulate matter in a complex urban core in Lanzhou, China, Environmental Research, 177, 10.1016/j.envres.2019.108597 Karner, 2010, Near-roadway air quality: Synthesizing the findings from real-world data, Environmental Science & Technology, 44, 5334, 10.1021/es100008x Lei, 2021, Vertical distributions of primary and secondary aerosols in urban boundary layer: Insights into sources, chemistry, and interaction with meteorology, Environmental Science & Technology, 55, 4542, 10.1021/acs.est.1c00479 Li, 2018, Assessing the impact of urbanization on direct runoff using improved composite CN method in a large urban area, International Journal of Environmental Research and Public Health, 15, 775, 10.3390/ijerph15040775 Li, 2020, Spatial distribution characteristics of gaseous pollutants and particulate matter inside a city in the heating season of Northeast China, Sustainable Cities and Society, 61, 10.1016/j.scs.2020.102302 Li, 2020, Concentrations of four major air pollutants among ecological functional zones in Shenyang, Northeast China. Atmosphere, 11, 1070 Li, 2018, Dose urban landscape pattern affect CO2 emission efficiency? Empirical evidence from megacities in China, Journal of Cleaner Production, 203, 164, 10.1016/j.jclepro.2018.08.194 Li, 2018, Three-dimensional analysis of ozone and PM2.5 distributions obtained by observations of tethered balloon and unmanned aerial vehicle in Shanghai, China, Stochastic Environmental Research and Risk Assessment, 32, 1189, 10.1007/s00477-018-1524-2 Li, 2017, Three-dimensional investigation of ozone pollution in the lower troposphere using an unmanned aerial vehicle platform, Environmental Pollution, 224, 107, 10.1016/j.envpol.2017.01.064 Li, 2018, Investigating vertical distribution patterns of lower tropospheric PM2.5 using unmanned aerial vehicle measurements, Atmospheric Environment, 173, 62, 10.1016/j.atmosenv.2017.11.009 Liu, 2020, Vertical profiling of fine particulate matter and black carbon by using unmanned aerial vehicle in Macau, China, Science of The Total Environment, 709, 10.1016/j.scitotenv.2019.136109 Liu, 2018, Comparison of particle concentration vertical profiles between downtown and urban forest park in Nanjing (China), Atmospheric Pollution Research, 9, 829, 10.1016/j.apr.2018.02.001 Liu, 2021, High-resolution mapping of mainland China's urban floor area, Landscape and Urban Planning, 214, 10.1016/j.landurbplan.2021.104187 Liu, 2019, A meta-analysis of selected near-road air pollutants based on concentration decay rates, Heliyon, 5, e02236, 10.1016/j.heliyon.2019.e02236 Lu, 2020, Characterizing temporal and vertical distribution patterns of traffic-emitted pollutants near an elevated expressway in urban residential areas, Building and Environment, 172, 10.1016/j.buildenv.2020.106678 Ma, 2020, Air pollutant emission characteristics and HYSPLIT model analysis during heating period in Shenyang, China, Environmental Monitoring and Assessment, 193, 9, 10.1007/s10661-020-08767-4 Miao, 2023, Assessing outdoor air quality vertically in an urban street canyon and its response to microclimatic factors, Journal of Environmental Sciences, 124, 923, 10.1016/j.jes.2022.02.021 Murray, 2020, Global burden of 87 risk factors in 204 countries and territories, 1990–2019: A systematic analysis for the Global Burden of Disease Study 2019, The Lancet, 396, 1223, 10.1016/S0140-6736(20)30752-2 Peng, 2015, A study of vertical distribution patterns of PM2.5 concentrations based on ambient monitoring with unmanned aerial vehicles: A case in Hangzhou, China, Atmospheric Environment, 123, 357, 10.1016/j.atmosenv.2015.10.074 Saha, 2018, Characterization of air pollutant concentrations, fleet emission factors, and dispersion near a North Carolina interstate freeway across two seasons, Atmospheric Environment, 177, 143, 10.1016/j.atmosenv.2018.01.019 Seto, 2005, Quantifying spatiotemporal patterns of urban land-use change in four cities of China with time series landscape metrics, Landscape Ecology, 20, 871, 10.1007/s10980-005-5238-8 Shi, 2020, How do economic growth, urbanization, and industrialization affect fine particulate matter concentrations? An assessment in Liaoning Province, China, International Journal of Environmental Research and Public Health, 17, 5441, 10.3390/ijerph17155441 Shi, 2020, Land use regression modelling of PM2.5 spatial variations in different seasons in urban areas, Science of The Total Environment, 743, 10.1016/j.scitotenv.2020.140744 Song, J., Li, C., Liu, M., Hu, Y., & Wu, W. (2022). Spatiotemporal Distribution Patterns and Exposure Risks of PM2.5 Pollution in China. 14(13), 3173. Song, 2019, Spatio-temporal patterns of traffic-related air pollutant emissions in different urban functional zones estimated by real-time video and deep learning technique, Journal of Cleaner Production, 238, 10.1016/j.jclepro.2019.117881 Sun, 2018, Health-related benefits of air quality improvement from coal control in China: Evidence from the Jing-Jin-Ji region, Resources, Conservation and Recycling, 129, 416, 10.1016/j.resconrec.2016.09.021 Sun, 2020, The effects of 3D architectural patterns on the urban surface temperature at a neighborhood scale: Relative contributions and marginal effects, Journal of Cleaner Production, 258, 10.1016/j.jclepro.2020.120706 Tomson, 2021, Green infrastructure for air quality improvement in street canyons, Environment International, 146, 10.1016/j.envint.2020.106288 Tu, 2019, The relationships between urban landscape patterns and fine particulate pollution in China: A multiscale investigation using a geographically weighted regression model, Journal of Cleaner Production, 237 Ulpiani, 2021, On the linkage between urban heat island and urban pollution island: Three-decade literature review towards a conceptual framework, Science of The Total Environment, 751, 10.1016/j.scitotenv.2020.141727 Villa, 2017, Determination of the vertical profile of particle number concentration adjacent to a motorway using an unmanned aerial vehicle, Environmental Pollution, 230, 134, 10.1016/j.envpol.2017.06.033 Vladimirovna Afanasyeva, 2019, Accumulation of heavy metals and biochemical responses in Siberian larch needles in urban area, Ecotoxicology (London, England), 28, 578, 10.1007/s10646-019-02055-9 Vo, 2018, Vertical stratification of volatile organic compounds and their photochemical product formation potential in an industrial urban area, Journal of Environmental Management, 217, 327, 10.1016/j.jenvman.2018.03.101 Wang, 2021, Vertical distribution and transport of air pollutants during a regional haze event in eastern China: A tethered mega-balloon observation study, Atmospheric Environment, 246, 10.1016/j.atmosenv.2020.118039 Wang, 2019, Temporal characteristics and vertical distribution of atmospheric ammonia and ammonium in winter in Beijing, Science of The Total Environment, 681, 226, 10.1016/j.scitotenv.2019.05.137 Wu, 2002, Vertical and horizontal profiles of airborne particulate matter near major roads in Macao, China, Atmospheric Environment, 36, 4907, 10.1016/S1352-2310(02)00467-3 Xiao, 2020, Changes in spatial patterns of PM2.5 pollution in China 2000–2018: Impact of clean air policies, Environment International, 141, 10.1016/j.envint.2020.105776 Xin, 2021, Effect of urban underlying surface on PM2.5 vertical distribution based on UAV in Xi'an, China, Environmental Monitoring and Assessment, 193, 312, 10.1007/s10661-021-09044-8 Xu, 2018, Effects on IL-1β signaling activation induced by water and organic extracts of fine particulate matter (PM2.5) in vitro, Environmental Pollution, 237, 592, 10.1016/j.envpol.2018.02.086 Zauli Sajani, 2018, Vertical variation of PM2.5 mass and chemical composition, particle size distribution, NO2, and BTEX at a high rise building, Environmental Pollution, 235, 339, 10.1016/j.envpol.2017.12.090 Zhang, 2011, Numerical simulation and in situ investigation of fine particle dispersion in an actual deep street Canyon in Hong Kong, Indoor and Built Environment, 20, 206, 10.1177/1420326X10387694 Zheng, 2018, Trends in China's anthropogenic emissions since 2010 as the consequence of clean air actions, Atmos. Chem. Phys., 18, 14095, 10.5194/acp-18-14095-2018 Zheng, 2021, Vertical and horizontal distributions of traffic-related pollutants beside an urban arterial road based on unmanned aerial vehicle observations, Building and Environment, 187, 10.1016/j.buildenv.2020.107401 Zhu, 2002, Study of ultrafine particles near a major highway with heavy-duty diesel traffic, Atmospheric Environment, 36, 4323, 10.1016/S1352-2310(02)00354-0 Zhu, 2002, Concentration and size distribution of ultrafine particles near a major highway, Journal of the Air & Waste Management Association, 52, 1032, 10.1080/10473289.2002.10470842 Zhu, 2019, Measurements of atmospheric aerosol vertical distribution above North China Plain using hexacopter, Science of The Total Environment, 665, 1095, 10.1016/j.scitotenv.2019.02.100