Socio-economic and ecological evaluation and modelling methodologies
Tapsell, Sue M., Priest, Sally J. ORCID: https://orcid.org/0000-0003-2304-1502, Parker, Dennis J., Penning-Rowsell, Edmund C.
ORCID: https://orcid.org/0000-0002-5333-8641, Viavattene, Christophe
ORCID: https://orcid.org/0000-0002-4358-5411, Wilson, T., Handmer, J. W., Wijdeveld, A., Haasnoot, M., Penailillo, R., van den Ende,, F., van Noort,, P., Messner,, F., Meyer, V., Haase, D., Scheuer, S., Schildt, A., Lutoff, C. and Ruin, I.
(2008)
Socio-economic and ecological evaluation and modelling methodologies.
Project Report.
European Commission.
.
[Monograph]
(doi:Task Report No: T10-07-13)
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PDF (Project Deliverable Report for the EC FP6 Integrated FLOODsite Project)
- Published version (with publisher's formatting)
Restricted to Repository staff and depositor only Download (10MB) |
Abstract
This report from Task 10 of the FLOODsite project focuses on developing innovative methods to understand, model and evaluate socio-economic and ecological flood damages. The four main activities within the Task are: building a model to estimate risk to life; modelling the damage-reducing effects of flood warnings; toxic stress and use of the OMEGA modelling framework to predict environmental pollution; GIS-based multicriteria analysis as decidion support in flood risk management.
Item Type: | Monograph (Project Report) |
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Additional Information: | Reprot produced for the EC FP6 Integrated FLOODsite Project Contract GOCE-CT-2004-505420 |
Keywords (uncontrolled): | Flooding Socio-economic modelling Ecological modelling |
Research Areas: | A. > School of Science and Technology > Flood Hazard Research Centre |
Item ID: | 16272 |
Notes on copyright: | Copyright Members of the FLOODsite Consortium. Publically available document - see
http://www.floodsite.net/html/partner_area/project_docs/ T10_07_13_Methodologies_D10_1_V_1_5_P10.pd Access to full text restricted pending copyright check. |
Depositing User: | Sue Tapsell |
Date Deposited: | 27 May 2015 15:36 |
Last Modified: | 30 Nov 2022 01:53 |
URI: | https://eprints.mdx.ac.uk/id/eprint/16272 |
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