Potential source identification for haze events in Shanghai during 2013 to 2015

Authors: Sha Zhou*, , Ning Liu, School of Geographic Sciences, East China Normal University, Shanghai, 200241, China, Chaoshun Liu, Key Laboratory of Geographic Information Science (Ministry of Education), East China Normal University, Shanghai
Topics: Environmental Science, Climatology and Meteorology
Keywords: Shanghai; haze pollution; backward trajectory clustering; potential source contribution function (PSCF) analysis;
Session Type: Paper
Day: 4/5/2019
Start / End Time: 9:55 AM / 11:35 AM
Room: 8229, Park Tower Suites, Marriott, Lobby Level
Presentation File: No File Uploaded


The knowledge of the transport pathway and potential sources of particulate matter with a diameter of 2.5μm (PM2.5) is necessary to effectively control regional PM2.5 pollution in Shanghai, China, especially in the winter seasons. In this paper, hourly backward trajectories for the arriving air masses to Shanghai in December of 2013-2015 were calculated using the HYSPLIT (Hybrid Single Particle Lagrangian Integrated Trajectory) model after a statistical analysis of ambient air quality in Shanghai. Potential Source Contribution Function (PSCF) was employed to study the potential sources of PM2.5 concentration and their possible impact based on cluster analysis with the hourly PM2.5 concentrations collection of several heavy haze pollution samples selected in Shanghai. The results showed that haze events in Shanghai were strongly associated with the influence of air masses traveling over north-western and northern China in December. Air masses from northwest contributed to the greatest probability to Shanghai PM2.5 pollution.

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