A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is
Stochastic source term estimation of HAZMAT releases: algorithms and uncertainty
International Conference on Information Systems for Crisis Response and Management
Source term estimation (STE) of hazardous material (HAZMAT) releases is critical for emergency response. Such problem is usually solved with the aid of atmospheric dispersion modelling and inversion algorithms accompanied with a variety of uncertainty, including uncertainty in atmospheric dispersion models, uncertainty in meteorological data, uncertainty in measurement process and uncertainty in inversion algorithms. Bayesian inference methods provide a unified framework for solving STE problemdblp:conf/iscram/WangHZ15 fatcat:ka5pndr3cvakzavr7wu7t7hf4e