Publication Details

Category Text Publication
Reference Category Journals
DOI 10.3390/su11215898
Licence creative commons licence
Title (Primary) Sequential disaster forensics: A case study on direct and socio-economic impacts
Author Mendoza, M.T.; Schwarze, R.
Source Titel Sustainability
Year 2019
Department OEKON
Volume 11
Issue 21
Page From art. 5898
Language englisch
Keywords disaster forensics; natural hazards; risk factors; disaster risk reduction; flood damage; damage data; city of Grimma; Saxony; Germany
Abstract Disaster damages and losses have been increasing in recent decades, highlighting the need to learn from past events. Only a better understanding of the fundamental causes of disasters and their impacts on society can lead to effective prevention and reduction of disaster risk. In this context, disaster forensics focuses on the analysis and interaction of risk factors (i.e., hazard, exposure and vulnerability) and the identification of underlying causes, in order to tackle them through dedicated action. In this work, we explore the results of disaster forensics through a case study of subsequent floods in 2002 and 2013 in the city of Grimma, Saxony, in Germany. Risk factors are investigated to identify their contribution in increasing or reducing disaster damage, in conjunction with socio-economic impacts in the mostly affected inner city of Grimma. In particular, we analyze (i) what data is needed to conduct a disaster forensic analysis and (ii) how much the sequential
application of disaster forensics contributes to a better understanding of risk and the identification of the causes of disasters impacts. The analysis shows that the sequential approach for disaster forensics is key for understanding cause–effect relationships regarding socio-economic impacts.
Persistent UFZ Identifier https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=22343
Mendoza, M.T., Schwarze, R. (2019):
Sequential disaster forensics: A case study on direct and socio-economic impacts
Sustainability 11 (21), art. 5898 10.3390/su11215898