Large Eddy Simulations of Turbulent and Buoyant Flows in Urban and Complex Terrain Areas Using the Aeolus Model

Author:

Gowardhan Akshay A.,McGuffin Dana L.ORCID,Lucas Donald D.ORCID,Neuscamman Stephanie J.,Alvarez Otto,Glascoe Lee G.

Abstract

Fast and accurate predictions of the flow and transport of materials in urban and complex terrain areas are challenging because of the heterogeneity of buildings and land features of different shapes and sizes connected by canyons and channels, which results in complex patterns of turbulence that can enhance material concentrations in certain regions. To address this challenge, we have developed an efficient three-dimensional computational fluid dynamics (CFD) code called Aeolus that is based on first principles for predicting transport and dispersion of materials in complex terrain and urban areas. The model can be run in a very efficient Reynolds average Navier–Stokes (RANS) mode or a detailed large eddy simulation (LES) mode. The RANS version of Aeolus was previously validated against field data for tracer gas and radiological dispersal releases. As a part of this work, we have validated the Aeolus model in LES mode against two different sets of data: (1) turbulence quantities measured in complex terrain at Askervein Hill; and (2) wind and tracer data from the Joint Urban 2003 field campaign for urban topography. As a third set-up, we have applied Aeolus to simulate cloud rise dynamics for buoyant plumes from high-temperature explosions. For all three cases, Aeolus LES predictions compare well to observations and other models. These results indicate that Aeolus LES can be used to accurately simulate turbulent flow and transport for a wide range of applications and scales.

Publisher

MDPI AG

Subject

Atmospheric Science,Environmental Science (miscellaneous)

Reference32 articles.

1. FLOW AND DISPERSION IN URBAN AREAS

2. Mixing and transport in urban areas

3. Model study of the development of boundary layers above urban areas

4. Attribution of Pollutant Concentrations on Buildings from Local Traffic—Effects on Ventilation Requirements;Hall,2003

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Machine learning-enabled weather forecasting for real-time radioactive transport and contamination prediction;Progress in Nuclear Energy;2024-08

2. Density scaling approximation for Monte-Carlo simulations of radioactive plumes;Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment;2024-06

3. An enhanced fourier neural operator surrogate for radioactive plume transport forecasting;Stochastic Environmental Research and Risk Assessment;2024-05-16

4. Synergistic Effect of Surface Thermal Heterogeneity in Phase With Topography on Deep Moist Convection;Journal of Geophysical Research: Atmospheres;2024-04-26

5. Formulation, Implementation and Validation of a 1D Boundary Layer Inflow Scheme for the QUIC Modeling System;Boundary-Layer Meteorology;2024-04

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3