Mathematical Modeling of Air Pollutants: An Application to Indian Urban City

Goyal, P.; Kumar, Ashutosh

doi:10.5772/16840

Cited by 22 publications

(14 citation statements)

References 38 publications

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“…NO 2 and PM 10 recorded very high PSI which triggers health challenges. This is consistent with Goyal and Anikender report on mathematical modelling of air pollutants [9].…”

Section: Resultssupporting

confidence: 80%

Characterization of Atmospheric Gaseous Components in Abattoir Operation Site in Ogbor-Hill Aba, Abia State, Nigeria

Ubuoh¹,

Uchendu²,

Kanu³

2017

J Environ Anal Toxicol

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“…NO 2 and PM 10 recorded very high PSI which triggers health challenges. This is consistent with Goyal and Anikender report on mathematical modelling of air pollutants [9].…”

Section: Resultssupporting

confidence: 80%

Characterization of Atmospheric Gaseous Components in Abattoir Operation Site in Ogbor-Hill Aba, Abia State, Nigeria

Ubuoh¹,

Uchendu²,

Kanu³

2017

J Environ Anal Toxicol

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“…Further, Gokhale and Khare (2004) observed that the causal nature as well as its ability to integrate emission inventory and meteorological parameters during air quality modeling, makes the Gaussian plume model a significant tool for traffic emission analyses. Similarly, Goyal and Kumar (2011) observed that the Gaussian plume models such as CALINE-4, DFLSM and ISCST-3, have found maximum application for quantifying the dispersion of air pollutants from point, area and volume sources in the Delhi region. Recently, Mohan et al (2011) estimated the air quality impact of residential, industrial and transport use in Delhi using an ISC-AERMOD model and observed that it gives a more satisfactory result when compared to the ISCST-3 model.…”

Section: Measures To Mitigate Vehicle Emissionsmentioning

confidence: 93%

Impact of air pollutants from surface transport sources on human health: A modeling and epidemiological approach

Aggarwal

Jain

2015

Environment International

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“…b Deterministic models (analytical and numerical models) are based on a mathematical description of physical and chemical behaviour of pollutants in the atmosphere (Kandya and Mohan, 2009). These models are based on mathematical equations, conservation laws of mass, momentum and energy variables (Goyal and Kumar, 2011).…”

Section: Vehicular Pollution Dispersion Modelling Along Roads Using Cmentioning

confidence: 99%

Vehicular pollution dispersion modelling along roads using CALINE4 model - a review

Dhyani

Sharma

2018

IJETM

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The present paper presents a review of vehicular pollution dispersion models with particular focus on CALINE4 model. The CALINE4 model is one of the most extensively used model for prediction of vehicular pollution along highways/roads. The CALINE4 model is easy handing and less input data requirement makes it useful for screening purposes. The paper also briefly discusses about the performance evaluation, sensitivity analysis of CALINE4 model along with uncertainty due to limitations in terms of input data provided in CALINE4 model's output.Reference to this paper should be made as follows: Dhyani, R. and Sharma, N. (2018) 'Vehicular pollution dispersion modelling along roads using CALINE4 model -a review', Int.

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Mathematical Modeling of Air Pollutants: An Application to Indian Urban City

Cited by 22 publications

References 38 publications

Characterization of Atmospheric Gaseous Components in Abattoir Operation Site in Ogbor-Hill Aba, Abia State, Nigeria

Characterization of Atmospheric Gaseous Components in Abattoir Operation Site in Ogbor-Hill Aba, Abia State, Nigeria

Impact of air pollutants from surface transport sources on human health: A modeling and epidemiological approach

Vehicular pollution dispersion modelling along roads using CALINE4 model - a review

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