UROP Project Listing System
 
Project Title:
Use Kolmogorov–Zurbenko filter to detrend the air quality data
Supervisor:FUNG Jimmy Chi Hung
Co-Supervisor:FUNG Jimmy Chi Hung, LU Xingcheng
Quota:2
Project Description:The Kolmogorov-Zurbenko (KZ) filter will be applied to detrend the Ozone, SO2, NOx, CO and PM concentration data in Hong Kong. The yearly and seasonal trends will be removed by this filter and the short-term variation will be characterized by the multi-linear regression. By doing so, we want to investigate how the long-term trend of the air pollutants responds to the implementation of the control policy. The meteorology influence on short-term air pollutant concentrations can also be further investigated by using the KZ filter and regression method.
Course type:UROP1000 UROP1100 UROP2100  
Applicant's Roles:The applicants are expected to finish subjects in basic calculus and statistics (saftware R), he/she should have a good programming skills. He/she will help the supervisor to conduct the numerical simulation part of the project.  
Applicant's Learning Objectives:Conclude the fundamental principles of reconstruction of signal embedded in the high noise of observational data  
Complexity of the project:Moderate 
 



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