Catching spores: Linking epidemiology, pathogen biology, and physics to ground-based airborne inoculum monitoring

WF Mahaffee, F Margairaz, L Ulmer, BN Bailey… - Plant …, 2023 - Am Phytopath Society
Monitoring airborne inoculum is gaining interest as a potential means of giving growers an
earlier warning of disease risk in a management unit or region. This information is sought by …

An Introduction to Atmospheric Pollutant Dispersion Modelling

JB Johnson - Environmental Sciences Proceedings, 2022 - mdpi.com
Modelling the dispersion of atmospheric pollutants plays an important role in regulatory and
epidemiological settings. Although the majority of modelling concepts were developed in the …

Coordinated Bayesian-based bioinspired plume source term estimation and source seeking for mobile robots

JR Bourne, ER Pardyjak… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
A new nonparametric Bayesian-based motion planning algorithm for autonomous plume
source term estimation (STE) and source seeking (SS) is presented in this paper. The …

Decentralized Multi-agent information-theoretic control for target estimation and localization: finding gas leaks

JR Bourne, MN Goodell, X He… - … Journal of Robotics …, 2020 - journals.sagepub.com
This article presents a new decentralized multi-agent information-theoretic (DeMAIT) control
algorithm for mobile sensors (agents). The algorithm leverages Bayesian estimation and …

Particle swarm optimization for source localization in realistic complex urban environments

N Gunawardena, KK Leang, E Pardyjak - Atmospheric Environment, 2021 - Elsevier
In this work, we present a method to localize a source in complex urban environments using
particle swarm optimization (PSO). Instead of using PSO to minimize the difference between …

URock 2023a: an open-source GIS-based wind model for complex urban settings

J Bernard, F Lindberg, S Oswald - Geoscientific Model …, 2023 - gmd.copernicus.org
URock 2023a is an open-source diagnostic model dedicated to wind field calculation in
urban settings. It is based on a quick method initially proposed by and already implemented …

The model SIRANE for atmospheric urban pollutant dispersion. PART III: Validation against NO2 yearly concentration measurements in a large urban agglomeration

L Soulhac, CV Nguyen, P Volta, P Salizzoni - Atmospheric environment, 2017 - Elsevier
We present a validation study of an updated version of the SIRANE model, whose results
have been systematically compared to concentrations of nitrogen dioxide collected over the …

A numerical study of the impact of vegetation on mean and turbulence fields in a European-city neighbourhood

F Barbano, S Di Sabatino, R Stoll, ER Pardyjak - Building and Environment, 2020 - Elsevier
Vegetation in the urban environment has various impacts on microclimate. While optimal
strategies for investigating these impacts are the subject of ongoing research, most …

Utilizing dynamic parallelism in CUDA to accelerate a 3D red-black successive over relaxation wind-field solver

B Bozorgmehr, P Willemsen, JA Gibbs, R Stoll… - … Modelling & Software, 2021 - Elsevier
QES-Winds is a fast-response wind modeling platform for simulating high-resolution mean
wind fields for optimization and prediction. The code uses a variational analysis technique to …

[PDF][PDF] Review on numerical simulation of airflow and pollutant dispersion in urban street canyons under natural background wind condition

Y Zhang, Z Gu, CW Yu - Aerosol and Air Quality Research, 2018 - aaqr.org
Observation data show that natural wind has a characteristic of regular time-variation in
speed and direction. However, the time-varying inflow conditions are usually simplified as a …