Evaluation of Gaussian Plume Model against CFD Simulations through the Estimation of CO and NO Concentrations in an Urban Area

Abstract

Dispersion of air pollutants, Carbon monoxide (CO) and Nitrogen oxide (NO), due to three point sources and a high-density traffic road in an urban area located near the center of Tokyo, Japan was studied using two different approaches. The first is an analytical approach using Gaussian Plume Model (GPM) while the second is a numerical approach using Computational Fluid Dynamics (CFD) simulations. In the first approach, the study area was divided into a fine grid and the traffic road was treated as a number of continuous adjacent stacks. The GPM was applied upon each stack and the concentration at each receptor was calculated using the principle of superposition. CFD simulations were carried out where steady state analysis was adopted and the standard k-ε turbulence model was used. The concentrations calculated with the two approaches were compared together. The study results show that the agreement between the concentrations estimated by the two approaches was good in low-density built-up locations within the study area while significant deviation was obtained for high-density locations. Such result reflects the fact that the GPM is poor in predicting the actual concentrations in cases of densely urban areas.

Analysis and Development Enlightenment on Source Term Inversion Technology of Nuclear and Chemical Hazards

“…Unfortunately, due to the complexity of the actual nuclear accident, the experimental results are quite different from the actual situation, so it has not been carried out all the time [30] . Mahmoud Bady [31] (2017) carried out Lagrangian particle inversion modeling according to the basic principles of computational fluid dynamics, aiming to determine the location of urban air pollution sources by using direct inversion technology.…”

Prediksi Pola Sebaran Plume Rise Pada Variasi Kecepatan Emisi Gas Buang Chimney Dengan Simulasi Komputer

“…Dewasa ini ada beberapa model yang telah dikembangkan dalam mensimulasikan prediksi pola penyebaran gas atau zat kimia yang dipancarkan ke udara. Salah satunya adalah Computational Fluent Dynamic (CFD) atau model fluent [8][9][10][11].…”

Assessment and Simulation of Gaseous Dispersion by Computational Fluid Dynamics (CFD): A Case Study of Shiraz Oil Refining Company

“…Among various dispersion models, the Gaussian plume model is the most well-known analytic model for predicting the distribution of air pollutants. It is computationally much more affordable, compared with other models in terms of time and modeling efforts particularly in large scale studies [3]. By contrast, the concentration is related to the wind speed causing to overestimation of concentration when the wind speed is less than 2 m/s or close to zero [4].…”

“…Although a lot of input data and much time are required, the numerical method using CFD simulation is a beneficial tool in air quality assessment. Such models can define the distribution of gaseous pollutants if they are properly set up, and boundary conditions are correctly applied [3].…”