A Lattice-Boltzmann-based modelling chain for traffic-related atmospheric pollutant dispersion at the local urban scale

Pasquier, Mathis; Jay, Stéphane; Jacob, Jérôme; Sagaut, Pierre

doi:10.1016/j.buildenv.2023.110562

Building and Environment

2023

DOI: 10.1016/j.buildenv.2023.110562

|View full text |Cite

A Lattice-Boltzmann-based modelling chain for traffic-related atmospheric pollutant dispersion at the local urban scale

Mathis Pasquier

Stéphane Jay

Jérôme Jacob

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

2025

Publication Types

Select...

Article5

Relationship

Self Cite0

Independent5

Authors

Journals

Cited by 10 publications

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Sensitivity analysis for sets: Application to pollutant concentration maps

Fellmann,

Pasquier,

Blanchet‐Scalliet

et al. 2024

Quality & Reliability Eng

View full text Add to dashboard Cite

We are motivated by the field of air quality control, where one goal is to quantify the impact of uncertain inputs such as meteorological conditions and traffic parameters on pollutant dispersion maps. Sensitivity analysis is one answer, but the majority of sensitivity analysis methods are designed to deal with scalar or vector outputs and are badly suited to an output space of maps. To address this problem, we propose a generic approach to sensitivity analysis of set‐valued models. This approach can be applied to the case of maps. We propose and study three different types of sensitivity indices. The first ones are inspired by Sobol' indices but adapted to sets based on the theory of random sets. The second ones adapt universal indices defined for a general metric output space. The last set of indices uses kernel‐based sensitivity indices adapted to sets. The proposed methods are implemented and tested to perform an uncertainty analysis for a toy excursion set problem and for time‐averaged concentration maps of pollutants in an urban environment.

show abstract

Sensitivity analysis for sets: Application to pollutant concentration maps

Fellmann,

Pasquier,

Blanchet‐Scalliet

et al. 2024

Quality & Reliability Eng

View full text Add to dashboard Cite

show abstract

Uncertainty-aware surrogate modeling for urban air pollutant dispersion prediction

Lumet,

Rochoux,

Jaravel

et al. 2025

Building and Environment

View full text Add to dashboard Cite

Influence of external magnetic field on nanofluid dynamics using a two-phase Lattice Boltzmann Mixture Model at low Reynolds numbers

Abdollahzadeh,

Mehrpooya,

Mousavian

et al. 2024

Chemical Engineering Research and Design

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

A Lattice-Boltzmann-based modelling chain for traffic-related atmospheric pollutant dispersion at the local urban scale

Cited by 10 publications

References 50 publications

Sensitivity analysis for sets: Application to pollutant concentration maps

Sensitivity analysis for sets: Application to pollutant concentration maps

Uncertainty-aware surrogate modeling for urban air pollutant dispersion prediction

Influence of external magnetic field on nanofluid dynamics using a two-phase Lattice Boltzmann Mixture Model at low Reynolds numbers

Contact Info

Product

Resources

About