Cadle, StevenStevenCadleAyala, AlbertoAlbertoAyalaBlack, KevinKevinBlackGraze, R.R.GrazeKoupal, JohnJohnKoupalMinassian, FredFredMinassianMurray, HannahHannahMurrayNatarajan, ManiManiNatarajanZhu, FenfenFenfenZhuTakaoka, MasakiMasakiTakaokaOshita, KazuyukiKazuyukiOshitaMorisawa, ShinsukeShinsukeMorisawaTSANG-JUNG CHANG2010-01-132018-06-292010-01-132018-06-292009http://ntur.lib.ntu.edu.tw//handle/246246/176420A particulate matter (PM) transport model is developed to investigate coarse PM (PM10), fine PM (PM2.5), and very fine PM (PM1) transport mechanisms in urban street canopies under low-wind conditions. Two common building layouts (i.e., the open and staggered street canopies) are considered. Large eddy simulations with the subgrid-scale stress model and the wall function are used to simulate urban streetcanopy flows. The Lagrangian particle tracking approach, considering the effects of the drag force, gravitational force, Brownian motion, and Saffman lift force on particles is adopted to study PM transport behaviors in urban street canopies. The box counting method is used to calculate the canopy-averaged PM10/PM 2.5/PM1 mass concentrations and transport mechanisms at each tracking time. The simulated results show that the removal efficiencies of PM10, PM2.5, and PM1 in the open street canopies are all better than those in the staggered street canopies. As a result, the open street canopies having higher PM removal ability lead to a swifter shift of the particle size distributions towards smaller size and less deviation than the staggered street canopies. The major particle removal mechanism for the open street canopies is particle escape, whereas wall deposition plays the most important role for the staggered street canopies. In comparison with the effectiveness of PM10/PM2.5/PM 1 removal for both building layouts, PM10 particles are easier to overcome the root mean square vertical turbulent velocity and need less time to deposit. Fine particles would follow airflow paths and need longer time to deposit. As a result, PM2.5 and PM1 are more difficult to be removed than PM10. Copyright 2009 Air & Waste Management Association.application/pdf1948939 bytesapplication/pdfen-US[SDGs]SDG11Brownian movement; Deposits; Drag; Large eddy simulation; Particle size; Particles (particulate matter); Wall function; Walls (structural partitions); Box-counting method; Fine particulate matter; Gravitational forces; Lagrangian particle tracking; Low wind conditions; Removal efficiencies; Subgrid-scale stress models; Transport mechanism; Urban transportation; airflow; article; building industry; canopy; experimental model; gravity; particle size; particulate matter; pollution transport; priority journal; simulation; urban areajournal article10.3155/1047-3289.59.2.196http://ntur.lib.ntu.edu.tw/bitstream/246246/176420/1/32.pdf