Time series analysis of the interdependence among air pollutants |
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| Institution: | 1. University of Michigan Medical School, Ann Arbor, Michigan;2. Brigham and Women''s Hospital, Boston, Massachusetts;3. Vanderbilt University, Nashville, Tennessee;4. University of Pittsburgh, Pittsburgh, Pennsylvania;5. Mount Sinai, New York, New York;6. Northwestern University, Chicago, Illinois;7. National Heart, Lung and Blood Institute, Bethesda, Maryland;8. Michigan Institute for Clinical and Health Research, University of Michigan, Ann Arbor, Michigan;9. University of Michigan School of Public Health, Ann Arbor, Michigan;10. Washington University, St. Louis, Missouri;1. Department of Psychiatry, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China;2. Qingdao Mental Health Center, Qingdao University, Qingdao, China;3. Department of Psychiatry, The First Clinical Medical College, Shanxi Medical University, Taiyuan, Shanxi Province, China;4. Department of Biomedical engineering, school of Materials science and engineering, south, China University of Technology (scUT), Guangzhou, China;5. Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China;6. CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China |
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| Abstract: | A statistical time series analysis was applied to study the interdependence between the primary and secondary pollutants in the Taipei area. Estimations using the vector autoregression model (VAR) indicate that 2 and 4 h time lags are sufficient to represent the observed values at two stations studied. The impulse response functions and variance decompositions of NO, NO2 and O3 were derived using the vector moving average representations to examine the significance of one species on others. Influences of photochemistry and transport processes on these air pollutants at different locations were evaluated from the results. This technique may provide a simple tool for preliminary assessment of pollution problems. |
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