Data assimilation, sensitivity and uncertainty analyses in the Dutch nuclear emergency management system: a pilot study Online publication date: Sat, 30-Jun-2007
by Harry Eleveld, Yvo S. Kok, Chris J.W. Twenhofel
International Journal of Emergency Management (IJEM), Vol. 4, No. 3, 2007
Abstract: To investigate the possibilities to improve the Dutch nuclear emergency management system, a pilot study was carried out on a data assimilation method for our atmospheric dispersion model. By means of the data assimilation method, the prediction of potentially contaminated areas in the early and late phases of a nuclear accident can significantly be improved. In the early phase, results of the radiological monitoring network are still sparse and the method focuses on a generic improvement of the model forecast by optimisation of a limited number of input parameters. Prior to the study on data assimilation, sensitivity and uncertainty analysis were performed to identify the most important parameters. For this pilot study, only two parameters were fitted to demonstrate the working of our data assimilation technique. The technique was successfully applied to an inconsistent part of a famous data set giving a reasonable agreement between the observed and modelled results.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Emergency Management (IJEM):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook