1 resultado para decision support systems, GIS, interpolation, multiple regression
em Institutional Repository of Leibniz University Hannover
Filtro por publicador
- Aberdeen University (1)
- Abertay Research Collections - Abertay University’s repository (1)
- Academic Archive On-line (Jönköping University; Sweden) (1)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (12)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (2)
- Applied Math and Science Education Repository - Washington - USA (1)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (6)
- Archive of European Integration (1)
- Aston University Research Archive (73)
- Biblioteca de Teses e Dissertações da USP (2)
- Biblioteca Digital | Sistema Integrado de Documentación | UNCuyo - UNCUYO. UNIVERSIDAD NACIONAL DE CUYO. (6)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (7)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (18)
- Biblioteca Virtual del Sistema Sanitario Público de Andalucía (BV-SSPA), Junta de Andalucía. Consejería de Salud y Bienestar Social, Spain (8)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (43)
- Brock University, Canada (12)
- Bulgarian Digital Mathematics Library at IMI-BAS (19)
- CentAUR: Central Archive University of Reading - UK (61)
- Cochin University of Science & Technology (CUSAT), India (4)
- Collection Of Biostatistics Research Archive (1)
- Consorci de Serveis Universitaris de Catalunya (CSUC), Spain (19)
- Cor-Ciencia - Acuerdo de Bibliotecas Universitarias de Córdoba (ABUC), Argentina (1)
- CORA - Cork Open Research Archive - University College Cork - Ireland (2)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (5)
- CUNY Academic Works (6)
- Dalarna University College Electronic Archive (5)
- Department of Computer Science E-Repository - King's College London, Strand, London (6)
- Digital Commons - Michigan Tech (4)
- Digital Commons @ DU | University of Denver Research (1)
- Digital Commons at Florida International University (14)
- Digital Peer Publishing (3)
- DigitalCommons@The Texas Medical Center (23)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (51)
- DRUM (Digital Repository at the University of Maryland) (1)
- Duke University (3)
- Ecology and Society (1)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (2)
- FUNDAJ - Fundação Joaquim Nabuco (1)
- Institutional Repository of Leibniz University Hannover (1)
- Instituto Politécnico de Castelo Branco - Portugal (1)
- Instituto Politécnico do Porto, Portugal (73)
- Iowa Publications Online (IPO) - State Library, State of Iowa (Iowa), United States (8)
- Lume - Repositório Digital da Universidade Federal do Rio Grande do Sul (2)
- Martin Luther Universitat Halle Wittenberg, Germany (1)
- Massachusetts Institute of Technology (1)
- Ministerio de Cultura, Spain (1)
- National Center for Biotechnology Information - NCBI (1)
- Nottingham eTheses (3)
- Publishing Network for Geoscientific & Environmental Data (1)
- ReCiL - Repositório Científico Lusófona - Grupo Lusófona, Portugal (3)
- Repositório Aberto da Universidade Aberta de Portugal (3)
- Repositório Científico da Universidade de Évora - Portugal (4)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (9)
- Repositório da Produção Científica e Intelectual da Unicamp (2)
- Repositorio de la Universidad de Cuenca (1)
- Repositório digital da Fundação Getúlio Vargas - FGV (3)
- Repositório Institucional da Universidade Federal do Rio Grande - FURG (1)
- Repositório Institucional da Universidade Tecnológica Federal do Paraná (RIUT) (1)
- Repositorio Institucional de la Universidad de Almería (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (42)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (40)
- School of Medicine, Washington University, United States (1)
- Scielo Saúde Pública - SP (11)
- Universidad de Alicante (5)
- Universidad del Rosario, Colombia (6)
- Universidad Politécnica de Madrid (38)
- Universidade do Minho (31)
- Universidade dos Açores - Portugal (1)
- Universidade Federal do Pará (4)
- Universidade Federal do Rio Grande do Norte (UFRN) (20)
- Universitat de Girona, Spain (16)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (5)
- Université de Lausanne, Switzerland (43)
- Université de Montréal, Canada (10)
- University of Canberra Research Repository - Australia (1)
- University of Connecticut - USA (1)
- University of Michigan (8)
- University of Queensland eSpace - Australia (37)
- University of Southampton, United Kingdom (3)
- University of Washington (2)
Resumo:
Extreme natural events, like e.g. tsunamis or earthquakes, regularly lead to catastrophes with dramatic consequences. In recent years natural disasters caused hundreds of thousands of deaths, destruction of infrastructure, disruption of economic activity and loss of billions of dollars worth of property and thus revealed considerable deficits hindering their effective management: Needs for stakeholders, decision-makers as well as for persons concerned include systematic risk identification and evaluation, a way to assess countermeasures, awareness raising and decision support systems to be employed before, during and after crisis situations. The overall goal of this study focuses on interdisciplinary integration of various scientific disciplines to contribute to a tsunami early warning information system. In comparison to most studies our focus is on high-end geometric and thematic analysis to meet the requirements of smallscale, heterogeneous and complex coastal urban systems. Data, methods and results from engineering, remote sensing and social sciences are interlinked and provide comprehensive information for disaster risk assessment, management and reduction. In detail, we combine inundation modeling, urban morphology analysis, population assessment, socioeconomic analysis of the population and evacuation modeling. The interdisciplinary results eventually lead to recommendations for mitigation strategies in the fields of spatial planning or coping capacity. © Author(s) 2009.