Predicting the duration of waste fires
PHE ePoster Library. Stewart-Evans J.
Sep 12, 2017; 186506
Jim Stewart-Evans
Jim Stewart-Evans
Login now to access Regular content available to all registered users.

You may also access this content "anytime, anywhere" with the Free MULTILEARNING App for iOS and Android
Abstract
Rate & Comment (0)
Abstract Each year there are several hundred fires at regulated and unregulated waste sites. Prolonged fires involving waste materials are a recognised national issue due to their potential adverse public health and environmental impacts and costs imposed on responding organisations and industry reaching up to hundreds of thousands of pounds per incident.It is difficult to predict the duration of waste fires, and incident management and risk mitigation during emergency response tends to be reactive and led by what has happened rather than by what may happen during the course of a fire. However, information about past fires can inform predictions of potential burn durations and associated impacts. This supports a more proactive approach that anticipates prospective scenarios and considers their mitigation and management in advance.The Environmental Hazards and Emergencies Department (EHED) of PHE's Centre for Radiation, Chemical and Environmental Hazards (CRCE) has developed a tool called SEaR (Source term, Exposure assessment and Risk assessment) that can inform the emergency preparedness and response to fires. Based on data from past incidents and calculated parameters, SEaR can be used to make scenario-specific estimates of the characteristics of fire source terms, burn durations and products of combustion.This poster will describe the SEaR project and present some useful insights from initial analysis of the SEaR database regarding the main risk factors for prolonged fires, many of which are inter-related. These factors can be considered as part of emergency preparedness work, or during incidents to inform emergency response.
    This eLearning portal is powered by:
    This eLearning portal is powered by MULTIEPORTAL
Anonymous User Privacy Preferences

Strictly Necessary Cookies (Always Active)

MULTILEARNING platforms and tools hereinafter referred as “MLG SOFTWARE” are provided to you as pure educational platforms/services requiring cookies to operate. In the case of the MLG SOFTWARE, cookies are essential for the Platform to function properly for the provision of education. If these cookies are disabled, a large subset of the functionality provided by the Platform will either be unavailable or cease to work as expected. The MLG SOFTWARE do not capture non-essential activities such as menu items and listings you click on or pages viewed.


Performance Cookies

Performance cookies are used to analyse how visitors use a website in order to provide a better user experience.


Save Settings