文章基本信息

标题：Modelling of NO₂ Dispersion based on Receptor Position Due to Transport Sector in Padang City, Indonesia
本地全文：下载
作者：Vera Surtia Bachtiar ; Purnawan ; Reri Afrianita and Siti Hariani Ritonga 等
期刊名称：Journal of Environmental Science and Technology
印刷版ISSN：1994-7887
电子版ISSN：2077-2181
出版年度：2017
卷号：10
期号：5
页码：258-267
DOI：10.3923/jest.2017.258.267
出版社：Asian Network for Scientific Information
摘要：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.