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Numerical study of the effect of traffic restriction on air quality in beijing

  • Qizhong Wu
  • , Zifa Wang
  • , A. Gbaguidi
  • , Xiao Tang
  • , Wen Zhou

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

The Nested Air Quality Prediction Modeling System (NAQPMS), in coupling with the fifth-generation NCAR/Penn State Mesoscale Model (MM5), is employed to assess the impact of vehicle traffic restriction on air quality in Beijing within pre-Olympic environmental measures implemented from 17th to 20th August 2007. Predictions are compared against meteorological and air quality observed data and validation shows model good performance as a whole. Sensitivity experiments, including the baseline and traffic control scenarios, are designed to estimate the potential reduction of nitrogen dioxide (NO2) and particulate matter (PM10) concentrations during the traffic restriction. Results indicate that the NO2 concentration in Urban Beijing is reduced by 16%~32%, with the average of 21%, while NOx emissions are lowered within 28%; the primary PM10 concentrations is also reduced by 6%~15%, lower than the decreased percentages of NO2 concentration. The results show that the most significant reduction of air pollutants occurs in Urban Beijing where the restriction has been mainly imposed. This study demonstrates the efficiency of traffic restriction measure in air quality improvement over Beijing. © 2010, the Meteorological Society of Japan.
Original languageEnglish
Pages (from-to)17-20
JournalScientific Online Letters on the Atmosphere
Volume6 A
DOIs
Publication statusPublished - 2010

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

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