Meteorological Factors Influencing Dispersion of Vehicular Pollution in a Typical Highway Condition

Dhyani, Rajni; Sharma, Niraj

doi:10.1007/978-981-10-5792-2_6

Cited by 1 publication

(1 citation statement)

References 11 publications

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“…We cite for example the studies of (Salvador et al, 2001;Ramroth et al, 2006;Clark et al, 2008;Hasofer, 2009;Suard et al, 2013;Alzbutas et al, 2014;Hopkin et al, 2018;Tondini et al, 2019;Gernay et al, 2019) that have oriented toward SA of fire propagation and heat transfer models. While the work of (LIU et al, 2007;Bubbico and Mazzarotta, 2008; Garc ıa-D ıaz and Goz alvez-Zafrilla, 2012; Pandya et al, 2012;Gant et al, 2013;Zhan and Zhang, 2013;Girard et al, 2014;Srinivas et al, 2016;Li et al, 2018;Dhyani and Sharma, 2018;Cao et al, 2020) aimed at the SA of atmospheric dispersion models to study the chemical effects and ecological risks generated by the dispersion of pollutants. These studies were based on different approaches of SA, which varied from local to global with the use of different techniques and sensitivity indices.…”

Section: Global and Local Sensitivity Analysis Of Edmmentioning

confidence: 99%

Global and local sensitivity analysis of the Emission Dispersion Model input parameters

Chettouh

2021

WJSTSD

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PurposeThe objectives of this paper are the application of sensitivity analysis (SA) methods in atmospheric dispersion modeling to the emission dispersion model (EDM) to study the prediction of atmospheric dispersion of NO2 generated by an industrial fire, whose results are useful for fire safety applications. The EDM is used to predict the level concentration of nitrogen dioxide (NO2) emitted by an industrial fire in a plant located in an industrial region site in Algeria.Design/methodology/approachThe SA was defined for the following input parameters: wind speed, NO2 emission rate and viscosity and diffusivity coefficients by simulating the air quality impacts of fire on an industrial area. Two SA methods are used: a local SA by using a one at a time technique and a global SA, for which correlation analysis was conducted on the EDM using the standardized regression coefficient.FindingsThe study demonstrates that, under ordinary weather conditions and for the fields near to the fire, the NO2 initial concentration has the most influence on the predicted NO2 levels than any other model input. Whereas, for the far field, the initial concentration and the wind speed have the most impact on the NO2 concentration estimation.Originality/valueThe study shows that an effective decision-making process should not be only based on the mean values, but it should, in particular, consider the upper bound plume concentration.

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Section: Global and Local Sensitivity Analysis Of Edmmentioning

confidence: 99%

Global and local sensitivity analysis of the Emission Dispersion Model input parameters

Chettouh

2021

WJSTSD

View full text Add to dashboard Cite

show abstract

Meteorological Factors Influencing Dispersion of Vehicular Pollution in a Typical Highway Condition

Cited by 1 publication

References 11 publications

Global and local sensitivity analysis of the Emission Dispersion Model input parameters

Global and local sensitivity analysis of the Emission Dispersion Model input parameters

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