Title :
Potential sources and transport pathways of PM2.5 in Shanghai, China
Author :
Ming Luo;Chongcheng Chen
Author_Institution :
Institute of Environment, Energy and Sustainability, The Chinese University of Hong Kong, Hong Kong, China
fDate :
7/1/2015 12:00:00 AM
Abstract :
This study investigates the potential sources and transport pathways of PM2.5 in Shanghai, China from January 2013 to December 2014 by using the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) modeling, K-means clustering, and concentration-weighted trajectory (CWT) analysis methods. Six transportation pathways that contribute to PM2.5 in Shanghai were identified by trajectory clustering. The primary potential pathway originated from the nearby northwestern regions, including Hebei, Henan, Shandong, Jiangsu, and Anhui, which mainly affect PM2.5 in winter and spring. The second primary potential pathway originated from northern and north-western regions, such as Mongolia. The lowest PM2.5 concentrations were found in the southern pathway with clean marine air masses from the South China Sea and Pacific Ocean in summer. The CWT method also identified the primary potential sources on the basis of the trajectory clustering results.
Keywords :
"Trajectory","Continuous wavelet transforms","Air pollution","Atmospheric modeling","Springs","Transportation","Meteorology"
Conference_Titel :
Spatial Data Mining and Geographical Knowledge Services (ICSDM), 2015 2nd IEEE International Conference on
Print_ISBN :
978-1-4799-7748-2
DOI :
10.1109/ICSDM.2015.7298034