A study of vertical distribution patterns of PM2. 5 concentrations based on ambient monitoring with unmanned aerial vehicles: A case in Hangzhou, China ZR Peng, D Wang, Z Wang, Y Gao, S Lu Atmospheric Environment 123, 357-369, 2015 | 142 | 2015 |
The impacts of roadside vegetation barriers on the dispersion of gaseous traffic pollution in urban street canyons XB Li, QC Lu, SJ Lu, HD He, ZR Peng, Y Gao, ZY Wang Urban forestry & urban greening 17, 80-91, 2016 | 121 | 2016 |
Investigating the relationship between air pollution variation and urban form C Li, Z Wang, B Li, ZR Peng, Q Fu Building and Environment 147, 559-568, 2019 | 98 | 2019 |
Fine-scale variations in PM2. 5 and black carbon concentrations and corresponding influential factors at an urban road intersection Z Wang, S Zhong, ZR Peng, M Cai Building and Environment 141, 215-225, 2018 | 73 | 2018 |
Investigating vertical distribution patterns of lower tropospheric PM2. 5 using unmanned aerial vehicle measurements XB Li, DS Wang, QC Lu, ZR Peng, ZY Wang Atmospheric Environment 173, 62-71, 2018 | 71 | 2018 |
Prediction of PM2. 5 concentration based on the similarity in air quality monitoring network M Li, W Wang, Z Wang, Y Xue Building and Environment 137, 11-17, 2018 | 69 | 2018 |
Fine-scale estimation of carbon monoxide and fine particulate matter concentrations in proximity to a road intersection by using wavelet neural network with genetic algorithm Z Wang, F Lu, QC Lu, D Wang, ZR Peng Atmospheric Environment 104, 264-272, 2015 | 64 | 2015 |
Assessing neighborhood air pollution exposure and its relationship with the urban form Y Gao, Z Wang, C Liu, ZR Peng Building and Environment 155, 15-24, 2019 | 54 | 2019 |
Use of multi-rotor unmanned aerial vehicles for radioactive source search B Li, Y Zhu, Z Wang, C Li, ZR Peng, L Ge Remote sensing 10 (5), 728, 2018 | 54 | 2018 |
Impacts of wind fields on the distribution patterns of traffic emitted particles in urban residential areas B Li, XB Li, C Li, Y Zhu, ZR Peng, Z Wang, SJ Lu Transportation Research Part D: Transport and Environment 68, 122-136, 2019 | 42 | 2019 |
Performance assessment of a portable nephelometer for outdoor particle mass measurement Z Wang, D Wang, ZR Peng, M Cai, Q Fu, D Wang Environmental Science: Processes & Impacts 20 (2), 370-383, 2018 | 41 | 2018 |
Vertical and horizontal distributions of traffic-related pollutants beside an urban arterial road based on unmanned aerial vehicle observations T Zheng, B Li, XB Li, Z Wang, SY Li, ZR Peng Building and Environment 187, 107401, 2021 | 38 | 2021 |
Investigation of the spatiotemporal variation and influencing factors on fine particulate matter and carbon monoxide concentrations near a road intersection Z Wang, QC Lu, HD He, D Wang, Y Gao, ZR Peng Frontiers of Earth Science 11, 63-75, 2017 | 38 | 2017 |
Use of multi-rotor unmanned aerial vehicles for fine-grained roadside air pollution monitoring B Li, R Cao, Z Wang, RF Song, ZR Peng, G Xiu, Q Fu Transportation research record 2673 (7), 169-180, 2019 | 37 | 2019 |
Using a distributed air sensor network to investigate the spatiotemporal patterns of PM2. 5 concentrations R Cao, B Li, Z Wang, ZR Peng, S Tao, S Lou Environmental pollution 264, 114549, 2020 | 35 | 2020 |
High secondary formation of nitrogen-containing organics (NOCs) and its possible link to oxidized organics and ammonium G Zhang, X Lian, Y Fu, Q Lin, L Li, W Song, Z Wang, M Tang, D Chen, X Bi, ... Atmospheric Chemistry and Physics 20 (3), 1469-1481, 2020 | 33 | 2020 |
Identification and interpretation of spatial–temporal mismatch between taxi demand and supply using global positioning system data J Tang, Y Zhu, Y Huang, ZR Peng, Z Wang Journal of Intelligent Transportation Systems 23 (4), 403-415, 2019 | 32 | 2019 |
Three-dimensional distribution of fine particulate matter concentrations and synchronous meteorological data measured by an unmanned aerial vehicle (UAV) in Yangtze River Delta … SJ Lu, D Wang, XB Li, Z Wang, Y Gao, ZR Peng Atmospheric Measurement Techniques Discussions 2016, 1-19, 2016 | 26 | 2016 |
Assessing neighborhood variations in ozone and PM2. 5 concentrations using decision tree method Y Gao, Z Wang, C Li, T Zheng, ZR Peng Building and Environment 188, 107479, 2021 | 24 | 2021 |
Prediction of vertical PM2.5 concentrations alongside an elevated expressway by using the neural network hybrid model and generalized additive model Y Gao, Z Wang, QC Lu, C Liu, ZR Peng, Y Yu Frontiers of Earth Science 11, 347-360, 2017 | 24 | 2017 |