Analysis of carbon monoxide (CO) with Delhi Finite Line Source (DFLS) in MT Haryono Street, Medan City

TALENTA - Conference on Engineering, Science and Technology 2017

工业技术;自然科学

Turmuzi, M.^1 ; Suryati, I.^2 ; Mashaly, E.T.^2 ; Batubara, F.^1

Department of Chemical Engineering, Faculty of Engineering, Universitas Sumatera Utara, Medan

20155, Indonesia^1

Department of Environmental Engineering, Faculty of Engineering, Universitas Sumatera Utara, Medan

20155, Indonesia^2

关键词: Ambient air quality standards;    Ambient air temperature;    CO concentrations;    Index of agreements;    Model application;    Nitrogen dioxides;    Particulate Matter;    Transportation sector;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/309/1/012108/pdf
DOI  :  10.1088/1757-899X/309/1/012108

来源: IOP

【 摘 要 】

One source to decrease urban air ambient quality is transportation sector. Important pollutants are released by gas emissions from vehicles are carbon monoxide (CO), hydrocarbons (HC), nitrogen dioxide (NO2), particulate matter and others. The presence of CO pollutants in the ambient air can be predicted by modeling air quality. This study aims to estimate CO concentration resulting from transportation activities using Delhi Finite Line Source (DFLS) model, comparing CO prediction using a DFLS model with CO observation in the field, and determine the suitability of the DFLS model application on the MT Haryono street in Medan City. Research was conducted for 3 days at two sample points with frequency twice daily. Based on research results, the range of CO concentration from observation between 22.903 μg/m3-27.484 μg/m3. CO observation is still below the ambient air quality standard. According to the DFLS calculations, the range of CO concentration between 1.499 μg/m3-2.051 μg/m3. The calculation index of agreement (IOA) validation test obtained value of d = 0.22. The DFLS model is not suitable to be applied on MT Haryono street because many factors affected such as wind direction and wind velocity, ambient air temperature and humidity.