Inverse modelling methods for identifying unknown releases in emergency scenarios: an overview

SK Singh, M Sharan, JP Issartel - International Journal of …, 2015 - inderscienceonline.com
The fast and accurate identification of unknown releases helps in an effective
implementation of emergency preparedness (including plume exposure assessment) and …

Modified ensemble Kalman filter for nuclear accident atmospheric dispersion: Prediction improved and source estimated

XL Zhang, GF Su, HY Yuan, JG Chen… - Journal of hazardous …, 2014 - Elsevier
Atmospheric dispersion models play an important role in nuclear power plant accident
management. A reliable estimation of radioactive material distribution in short range (about …

[HTML][HTML] Atmospheric dispersion of chemical, biological, and radiological hazardous pollutants: Informing risk assessment for public safety

X Zhang, J Wang - Journal of Safety Science and Resilience, 2022 - Elsevier
Modern society is confronted with emerging threats from chemical, biological, and
radiological (CBR) hazardous substances, which are intensively utilized in the chemical …

Designing an automatic pollen monitoring network for direct usage of observations to reconstruct the concentration fields

M Sofiev, J Buters, F Tummon, Y Fatahi… - Science of the Total …, 2023 - Elsevier
We consider several approaches to a design of a regional-to-continent-scale automatic
pollen monitoring network in Europe. Practical challenges related to the arrangement of …

Tracking of atmospheric release of pollution using unmanned aerial vehicles

V Šmídl, R Hofman - Atmospheric Environment, 2013 - Elsevier
Tracking of an atmospheric release of pollution is usually based on measurements provided
by stationary networks, occasionally complemented with deployment of mobile sensors. In …

Sensor configuration optimization based on the entropy of adjoint concentration distribution for stochastic source term estimation in urban environment

H Jia, H Kikumoto - Sustainable Cities and Society, 2022 - Elsevier
Sensor monitoring is foundational to source term estimation (STE). Recently, stochastic STE
methods based mainly on Bayesian inference have been attracting attention. However, few …

[HTML][HTML] Sensitivity operator framework for analyzing heterogeneous air quality monitoring systems

A Penenko, V Penenko, E Tsvetova, A Gochakov… - Atmosphere, 2021 - mdpi.com
Air quality monitoring systems differ in composition and accuracy of observations and their
temporal and spatial coverage. A monitoring system's performance can be assessed by …

Evaluation of the performance of the WRF model in a hyper-arid environment: A sensitivity study

R Abida, Y Addad, D Francis, M Temimi, N Nelli… - Atmosphere, 2022 - mdpi.com
Accurate simulation of boundary layer surface meteorological parameters is essential to
achieve good forecasting of weather and atmospheric dispersion. This paper is devoted to a …

Targeting of observations for accidental atmospheric release monitoring

R Abida, M Bocquet - Atmospheric Environment, 2009 - Elsevier
In the event of an accidental atmospheric release of radionuclides from a nuclear power
plant, accurate real-time forecasting of the activity concentrations of radionuclides is acutely …

[HTML][HTML] Radiological Alert Network of Extremadura (RAREx) at 2021: 30 years of development and current performance of real-time monitoring

MÁ Ontalba, JÁ Corbacho, A Baeza, J Vasco… - Nuclear Engineering …, 2022 - Elsevier
Abstract In 1993 the University of Extremadura initiated the design, construction and
management of the Radiological Alert Network of Extremadura (RAREx). The goal was to …