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Modelling of NO2 Dispersion based on Receptor Position Due to Transport Sector in Padang City, Indonesia


Article Information

Title: Modelling of NO2 Dispersion based on Receptor Position Due to Transport Sector in Padang City, Indonesia

Authors: Vera Surtia Bachtiar, Purnawan, Reri Afrianita, Siti Hariani Ritonga

Journal: Journal of Environmental Science and Technology

HEC Recognition History
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Publisher: Asian Network for Scientific Information (ANSInet)

Country: Pakistan

Year: 2017

Volume: 10

Issue: 5

Language: English

DOI: 10.10.3923/jest.2017.258.267

Keywords: Nitrogen dioxide (NO2)Traffic DensityTraffic volumeGriess Saltzman methodtraffic speed

Categories

Abstract

Background and Objective: Nitrogen dioxide (NO2) is one of the pollutants produced by transport. NO2 concentration in the transportation sector was influenced by traffic characteristics, meteorological factors and receptor distance from the source. This study aims to model the patterns of nitrogen dioxide (NO2) dispersion in the roadside area based on the distance of receptor position from the roadway. Methodology: Model developed from the relation between the concentration of NO2 and traffic characteristics and meteorological conditions, such as traffic volume, traffic speed and wind speed. NO2 was obtained by measuring the NO2 gas at 25 points ambient air sampling conducted with a certain distance from the edge of the roadside. At the same time, was also carried out measurements of traffic characteristics and meteorological conditions. NO2 concentrations were measured by Griess Saltzman method, using impinger and a spectrophotometer. Statistical analysis was used to validated the model using t-test analysis. Results: The results show NO2 concentration varied in all sampling locations with the concentration of NO2 at point A 1 m is higher than the point B (5, 10, 25, 50 and 100 m). Regression models between NO2 with traffic characteristics and wind speed obtained from a distance of 1, 5, 10, 25, 50 and 100 m from the roadside. The model then was used to predict NO2 using the data traffic characteristics and the current wind speed measurements at 40 measurement points, for the distance of receptors were 1, 5, 10, 25, 50 and 100 m to view the NO2 dispersion. Conclusion: T-test analysis showed that the model can be used to predict dispersion of NO2.


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