TY - JOUR
T1 - Transport mechanisms of coarse, fine, and very fine particulate matter in urban street canopies with different building layouts
AU - Chang, Tsang Jung
AU - Kao, Hong Ming
AU - Wu, Yu Ting
AU - Huang, Wei Hua
N1 - Funding Information:
The authors gratefully acknowledge support of this work by a 3-yr project of the National Science Council, Taiwan, Republic of China, under Grant Nos. NSC 95-2625-Z-002-025, 96-2625-Z-002-014, and 97-2625-M-002-003.
PY - 2009/2
Y1 - 2009/2
N2 - A 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.
AB - A 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.
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U2 - 10.3155/1047-3289.59.2.196
DO - 10.3155/1047-3289.59.2.196
M3 - Article
AN - SCOPUS:67649224333
SN - 1096-2247
VL - 59
SP - 196
EP - 206
JO - Journal of the Air and Waste Management Association
JF - Journal of the Air and Waste Management Association
IS - 2
ER -