1 resultado para Bank mergers and acquisitions
em CUNY Academic Works
Filtro por publicador
- JISC Information Environment Repository (1)
- Repository Napier (1)
- Academic Archive On-line (Jönköping University; Sweden) (1)
- Academic Research Repository at Institute of Developing Economies (17)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (6)
- Applied Math and Science Education Repository - Washington - USA (1)
- Aquatic Commons (45)
- Archive of European Integration (64)
- Aston University Research Archive (27)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (7)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (3)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (2)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (23)
- Brock University, Canada (6)
- Bucknell University Digital Commons - Pensilvania - USA (2)
- CaltechTHESIS (2)
- Cambridge University Engineering Department Publications Database (13)
- CentAUR: Central Archive University of Reading - UK (52)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (7)
- Cochin University of Science & Technology (CUSAT), India (8)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (45)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (5)
- CUNY Academic Works (1)
- Dalarna University College Electronic Archive (2)
- Deakin Research Online - Australia (73)
- DI-fusion - The institutional repository of Université Libre de Bruxelles (3)
- Digital Commons - Montana Tech (2)
- Digital Commons @ DU | University of Denver Research (2)
- Digital Commons @ Winthrop University (2)
- Digital Commons at Florida International University (6)
- Digital Peer Publishing (1)
- DigitalCommons - The University of Maine Research (1)
- DigitalCommons@University of Nebraska - Lincoln (1)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (1)
- DRUM (Digital Repository at the University of Maryland) (3)
- Duke University (4)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (11)
- Glasgow Theses Service (1)
- Greenwich Academic Literature Archive - UK (1)
- Helda - Digital Repository of University of Helsinki (18)
- Indian Institute of Science - Bangalore - Índia (8)
- Instituto Politécnico do Porto, Portugal (4)
- Instituto Superior de Psicologia Aplicada - Lisboa (1)
- Lume - Repositório Digital da Universidade Federal do Rio Grande do Sul (1)
- Memoria Académica - FaHCE, UNLP - Argentina (5)
- Ministerio de Cultura, Spain (1)
- National Center for Biotechnology Information - NCBI (2)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (3)
- Portal de Revistas Científicas Complutenses - Espanha (2)
- Publishing Network for Geoscientific & Environmental Data (43)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (31)
- Queensland University of Technology - ePrints Archive (25)
- Repositório Científico da Universidade de Évora - Portugal (2)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (1)
- Repositório digital da Fundação Getúlio Vargas - FGV (50)
- Repositório Institucional da Universidade de Aveiro - Portugal (3)
- Repositório Institucional da Universidade de Brasília (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (24)
- Repositorio Institucional Universidad de Medellín (1)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (8)
- SAPIENTIA - Universidade do Algarve - Portugal (2)
- School of Medicine, Washington University, United States (1)
- SerWisS - Server für Wissenschaftliche Schriften der Fachhochschule Hannover (1)
- South Carolina State Documents Depository (1)
- Universidad de Alicante (2)
- Universidad del Rosario, Colombia (14)
- Universidad Politécnica de Madrid (6)
- Universidade Complutense de Madrid (1)
- Universidade dos Açores - Portugal (2)
- Universidade Federal do Pará (4)
- Universidade Federal do Rio Grande do Norte (UFRN) (3)
- Universidade Metodista de São Paulo (11)
- Universidade Técnica de Lisboa (1)
- Universitat de Girona, Spain (1)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (3)
- Université de Montréal, Canada (14)
- University of Connecticut - USA (7)
- University of Michigan (132)
- University of Queensland eSpace - Australia (6)
- University of Washington (3)
- WestminsterResearch - UK (6)
- Worcester Research and Publications - Worcester Research and Publications - UK (1)
Resumo:
Vertical stream bed erosion has been studied routinely and its modeling is getting widespread acceptance. The same cannot be said with lateral stream bank erosion since its measurement or numerical modeling is very challenging. Bank erosion, however, can be important to channel morphology. It may contribute significantly to the overall sediment budget of a stream, is a leading cause of channel migration, and is the cause of major channel maintenance. However, combined vertical and lateral channel evolution is seldom addressed. In this study, a new geofluival numerical model is developed to simulate combined vertical and lateral channel evolution. Vertical erosion is predicted with a 2D depth-averaged model SRH-2D, while lateral erosion is simulated with a linear retreat bank erosion model developed in this study. SRH-2D and the bank erosion model are coupled together both spatially and temporally through a common mesh and the same time advancement. The new geofluvial model is first tested and verified using laboratory meander channels; good agreement are obtained between predicted bank retreat and measured data. The model is then applied to a 16-kilometer reach of Chosui River, Taiwan. Vertical and lateral channel evolution during a three-year period (2004 to 2007) is simulated and results are compared with the field data. It is shown that the geofluvial model correctly captures all major erosion and deposition patterns. The new model is shown to be useful for identifying potential erosion sites and providing information for river maintenance planning.