Risk assessment of white phosphorus in military training areas, a probabilistic approach

2006 ◽  
Vol 164 ◽  
pp. S139-S140 ◽  
Author(s):  
Øyvind Albert Voie ◽  
Kjetil S. Longva ◽  
Arnljot E. Strømseng ◽  
Arnt Johnsen
Keyword(s):  
Risk Assessment ◽  
Military Training ◽  
Probabilistic Approach ◽  
White Phosphorus ◽  
Military Training Areas

Environmental risk assessment of white phosphorus from the use of munitions — A probabilistic approach

2010 ◽  
Vol 408 (8) ◽  
pp. 1833-1841 ◽  
Author(s):  
Øyvind Albert Voie ◽  
Arnt Johnsen ◽  
Arnljot Strømseng ◽  
Kjetil Sager Longva
Keyword(s):  
Risk Assessment ◽  
Environmental Risk ◽  
Environmental Risk Assessment ◽  
Probabilistic Approach ◽  
White Phosphorus

Die Bundeswehr und die Belgischen Streitkräfte in Deutschland

2021 ◽  
Author(s):  
Jonas Springer
Keyword(s):  
Local Level ◽  
Military Training ◽  
Armed Forces ◽  
History Of ◽  
Military Training Areas ◽  
The Military ◽  
First Time ◽  
The Relationship ◽  
Peak Phase ◽  
East West

This study is dedicated to the regional history of the East-West conflict on the basis of the relationship between the Germany military and the Belgian armed forces stationed in Germany. The central question it addresses is which factors were largely responsible for the interdependence between actors and institutions of both armies. In addition to analysing the limited time of the peak phase of Belgian military deployment in the Federal Republic 1946–1990, the book concentrates regionally on the military training areas of Vogelsang in the Eifel and the Wahner Heide near Cologne as military contact zones. For this purpose, the author evaluates unpublished archival sources at the local level for the first time.

scholarly journals Development of a Bayesian network for probabilistic risk assessment of pesticides

2021 ◽  
Author(s):  
Sophie Mentzel ◽  
Merete Grung ◽  
Knut Erik Tollefsen ◽  
Marianne Stenrod ◽  
Karina Petersen ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Bayesian Network ◽  
Environmental Risk ◽  
Environmental Risk Assessment ◽  
Probability Distributions ◽  
Probabilistic Approach ◽  
Probabilistic Risk Assessment ◽  
Risk Calculation ◽  
Link Information ◽  
Probabilistic Risk

Conventional environmental risk assessment of chemicals is based on a calculated risk quotient, representing the ratio of exposure to effects of the chemical, in combination with assessment factors to account for uncertainty. Probabilistic risk assessment approaches can offer more transparency, by using probability distributions for exposure and/or effects to account for variability and uncertainty. In this study, a probabilistic approach using Bayesian network (BN) modelling is explored as an alternative to traditional risk calculation. BNs can serve as meta-models that link information from several sources and offer a transparent way of incorporating the required characterization of uncertainty for environmental risk assessment. To this end, a BN has been developed and parameterised for the pesticides azoxystrobin, metribuzin, and imidacloprid. We illustrate the development from deterministic (traditional) risk calculation, via intermediate versions, to fully probabilistic risk characterisation using azoxystrobin as an example. We also demonstrate seasonal risk calculation for the three pesticides.

scholarly journals CLIMADA – a global weather and climate risk assessment platform

2019 ◽  
Author(s):  
Gabriela Aznar-Siguan ◽  
David N. Bresch
Keyword(s):  
Risk Assessment ◽  
Probabilistic Approach ◽  
Extreme Weather Events ◽  
Climate Conditions ◽  
Hazard Exposure ◽  
Weather Events ◽  
Wide Range ◽  
High Population Growth ◽  
Socio Economic Impact ◽  
Event Based

Abstract. The need for assessing the risk of extreme weather events is ever increasing. In addition to quantification of risk today, the role of aggravating factors such as high population growth and changing climate conditions do matter, too. We present the open source software CLIMADA, which integrates hazard, exposure and vulnerability to compute the necessary metrics to assess risk and to quantify socio-economic impact. The software design is modular and object-oriented, offering a simple collaborative framework and a parallelization strategy which allows for scalable computations on clusters. CLIMADA supports multi-hazard calculations and provides an event-based probabilistic approach that is globally consistent for a wide range of resolutions, suitable for whole-country to detailed local studies. This paper uses the platform to estimate and contextualize the damage of hurricane Irma in the Caribbean in 2017. Most of the affected islands are non-sovereign countries and do also rely on overseas support in case disaster strikes. The risk assessment performed for this region, based on remotely available data available shortly before or hours after landfall of Irma, proves to be close to reported damage and hence demonstrates a method to provide readily available impact estimates and associated uncertainties in real time.

Sign in / Sign up

Export Citation Format

Share Document