Urban Dispersion Modelling Capabilities Related to the UDINEE Intensive Operating Period 4

Kopka, Piotr; Potempski, S.; Kaszko, Aleksej; Korycki, Michal

doi:10.1007/s10546-018-0399-6

Cited by 5 publications

(3 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This renders a Poisson equation that is computationally feasible to solve. See [6] for an evaluation of the Quick Urban and Industrial Complex (QUIC) model. The downside of this diagnostic approach is the lack of generality for handling arbitrary and complex 3D geometries.…”

Section: Introductionmentioning

confidence: 99%

Use and Scalability of OpenFOAM for Wind Fields and Pollution Dispersion with Building- and Ground-Resolving Topography

Elfverson

Lejon

2021

Atmosphere

View full text Add to dashboard Cite

Complex flow and pollutant dispersion simulations in real urban settings were investigated by using computational fluid dynamics (CFD) simulations with the SST k−ω Reynolds-averaged Navier–Stokes (RANS) equation with OpenFOAM. The model was validated with a wind-tunnel experiment using two surface-mounted cubes in tandem, and the flow features were reproduced with the correct qualitative behaviour. The real urban geometry of the Parade Square in Warsaw, Poland was represented with both laser-scanning data for the ground geometry and the CityGML standard to describe the buildings as an example. The Eulerian dispersion of a passive scalar and the flow behaviour could be resolved within minutes over a computational domain with a size of 958 × 758 m2 and a height of 300 m with over 2 M cells due to the good and strong parallel scalability in OpenFOAM. This implies that RANS modelling with parallel computing in OpenFOAM can potentially be used as a tool for situational awareness on a local urban scale; however, entire cities would be too large.

show abstract

Section: Introductionmentioning

confidence: 99%

Use and Scalability of OpenFOAM for Wind Fields and Pollution Dispersion with Building- and Ground-Resolving Topography

Elfverson

Lejon

2021

Atmosphere

View full text Add to dashboard Cite

show abstract

“…These kinds of flow simulations in urban areas are also important tools in designing smart cities. In the past decade, many urban-dispersion models have been developed for emergency-response purposes and validated with respect to field-dispersion experiments (Hanna et al 2011;Kopka et al 2019;Hernández-Ceballoset al 2019a, b). These models can take into account urban buildings and meteorological conditions, but do not compute the detailed airflow, but are much faster than computational fluid dynamics (CFD).…”

Section: Introductionmentioning

confidence: 99%

Real-Time Tracer Dispersion Simulations in Oklahoma City Using the Locally Mesh-Refined Lattice Boltzmann Method

Onodera

Idomura

Hasegawa

et al. 2021

Boundary-Layer Meteorol

View full text Add to dashboard Cite

We present ensemble-based large-eddy simulations based on a lattice Boltzmann method for a realistic urban area. A plume-dispersion model enables a real-time simulation over several kilometres by applying a local mesh-refinement method. We assess plume-dispersion problems in the complex urban environment of Oklahoma City on 16 July using realistic mesoscale velocity boundary conditions produced by the Weather Research and Forecasting model, as well as building structures and a plant-canopy model introduced into the plume-dispersion model. Ensemble calculations are performed to reduce uncertainties in the macroscale boundary conditions due to turbulence, which cannot be determined by the mesoscale model. The statistics of the plume-dispersion field, as well as mean and maximum concentrations, show that ensemble calculations improve the accuracy of the simulations. Factor-of-2 agreement is found between the ensemble-averaged concentrations based on the simulations over a 4.2 × 4.2 × 2.5 km2 area with 2-m resolution with the plume-dispersion model and the observations.

show abstract

“…The model heavily uses meteorological measurements to drive the flow and the results rely on the data quality. Kopka et al (2018) present a more detailed operational evaluation, performing a comprehensive analysis of the Quick Urban & Industrial Complex (QUIC) model suite in the dense urban area configuration based on parameterizations and measurement-based flow data (-URB) and the version using flow data obtained from computational fluid dynamics. The central role of the selection of the flow model is outlined, and shows that it remains the central issue to be solved prior to engaging in more complex case studies or analysis of dispersion processes.…”

mentioning

confidence: 99%

Preface

Galmarini

Hanna²,

Mazzola

et al. 2019

Boundary-Layer Meteorol

View full text Add to dashboard Cite

This special issue contains a series of papers that summarize the research conducted within the European project Urban Dispersion INternational Evaluation Exercise (UDINEE). The main goal of UDINEE is to assess the ability of atmospheric transport and dispersion models used for research and application to predict the consequences of the deployment of radioactive dispersal devices (RDDs). Radioactive dispersal devices, also known as dirty bombs, are explosive devices that can disperse radioactive material in a malevolent and deliberate attempt to harm people and to produce disruption to areas through radioactive contamination. The harmful agent carried by atmospheric transport and dispersion can also be chemical or bacteriological, in which case the release into the environment may be of a different nature than explosive. Andersson et al. (2009) outline the reality of RDD threats and the consequences of such actions. An RDD event would most likely be carried out in an urban environment or, in any case, a scenario that would involve infrastructure and buildings that, when compromised, would create maximum disruption to the societal workings and organization. This implies that if the atmosphere is chosen as the medium for dispersing the agent, complex flows and interactions with infrastructure and buildings are to be expected. The latter constitutes a complex situation for any kind of numerical simulation in either an assessment or prediction mode. In the attempt to anticipate such circumstances, and to set up the optimum environment for emergency preparedness and response, the EU Council in 2009 adopted the European Union (EU) Chemical, Biological, Radiological and Nuclear (CBRN) Action Plan (15505/1/09 REV1). The role of atmospheric transport and dispersion models in assessing and predicting consequences of the dispersion of chemical, biological, radiological agents in complex topography is amply considered in the Plan, and the evaluation of the models' capacity to simulate the contamination and its impact is indicated as a mandatory action. With that in mind, the UDINEE project was proposed to the Directorate General for Migration and Home Affair of the European Commission, which supports the Joint Research Center organizational role in the project. Thereafter the activity was extended beyond the EU research and emergency response context with the direct and active involvement of North

show abstract

Urban Dispersion Modelling Capabilities Related to the UDINEE Intensive Operating Period 4

Cited by 5 publications

References 10 publications

Use and Scalability of OpenFOAM for Wind Fields and Pollution Dispersion with Building- and Ground-Resolving Topography

Use and Scalability of OpenFOAM for Wind Fields and Pollution Dispersion with Building- and Ground-Resolving Topography

Real-Time Tracer Dispersion Simulations in Oklahoma City Using the Locally Mesh-Refined Lattice Boltzmann Method

Preface

Contact Info

Product

Resources

About