1 resultado para fluvial erosion
em CUNY Academic Works
Filtro por publicador
- Aberdeen University (8)
- Academic Archive On-line (Stockholm University; Sweden) (1)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (7)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (2)
- Aquatic Commons (11)
- Archimer: Archive de l'Institut francais de recherche pour l'exploitation de la mer (1)
- Archive of European Integration (7)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (2)
- Aston University Research Archive (2)
- Biblioteca Digital | Sistema Integrado de Documentación | UNCuyo - UNCUYO. UNIVERSIDAD NACIONAL DE CUYO. (2)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (13)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (3)
- Biblioteca Digital de la Universidad Católica Argentina (1)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (1)
- Bibloteca do Senado Federal do Brasil (2)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (136)
- Brock University, Canada (1)
- Bucknell University Digital Commons - Pensilvania - USA (3)
- CaltechTHESIS (1)
- Cambridge University Engineering Department Publications Database (92)
- CentAUR: Central Archive University of Reading - UK (17)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (60)
- Cochin University of Science & Technology (CUSAT), India (1)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (8)
- CORA - Cork Open Research Archive - University College Cork - Ireland (1)
- Cornell: DigitalCommons@ILR (1)
- CUNY Academic Works (1)
- Digital Commons - Michigan Tech (2)
- Digital Commons @ DU | University of Denver Research (2)
- Digital Peer Publishing (1)
- DigitalCommons@University of Nebraska - Lincoln (1)
- Duke University (1)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (20)
- Gallica, Bibliotheque Numerique - Bibliothèque nationale de France (French National Library) (BnF), France (1)
- Glasgow Theses Service (1)
- Greenwich Academic Literature Archive - UK (5)
- Helda - Digital Repository of University of Helsinki (27)
- Helvia: Repositorio Institucional de la Universidad de Córdoba (1)
- Indian Institute of Science - Bangalore - Índia (51)
- Institutional Repository of Leibniz University Hannover (1)
- INSTITUTO DE PESQUISAS ENERGÉTICAS E NUCLEARES (IPEN) - Repositório Digital da Produção Técnico Científica - BibliotecaTerezine Arantes Ferra (2)
- Instituto Politécnico do Porto, Portugal (1)
- Iowa Publications Online (IPO) - State Library, State of Iowa (Iowa), United States (1)
- Livre Saber - Repositório Digital de Materiais Didáticos - SEaD-UFSCar (1)
- Lume - Repositório Digital da Universidade Federal do Rio Grande do Sul (3)
- Memoria Académica - FaHCE, UNLP - Argentina (4)
- Memorial University Research Repository (1)
- Ministerio de Cultura, Spain (3)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (6)
- Portal de Revistas Científicas Complutenses - Espanha (2)
- Publishing Network for Geoscientific & Environmental Data (32)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (37)
- Queensland University of Technology - ePrints Archive (69)
- RDBU - Repositório Digital da Biblioteca da Unisinos (1)
- Repositorio Académico de la Universidad Nacional de Costa Rica (5)
- Repositório Científico da Universidade de Évora - Portugal (4)
- Repositório Institucional da Universidade de Aveiro - Portugal (3)
- Repositorio Institucional de la Universidad Nacional Agraria (2)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (92)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (2)
- SAPIENTIA - Universidade do Algarve - Portugal (2)
- Universidad de Alicante (3)
- Universidad del Rosario, Colombia (1)
- Universidad Politécnica de Madrid (16)
- Universidade Complutense de Madrid (2)
- Universidade de Lisboa - Repositório Aberto (2)
- Universidade Federal do Pará (13)
- Universidade Federal do Rio Grande do Norte (UFRN) (4)
- Universidade Técnica de Lisboa (1)
- Universitat de Girona, Spain (10)
- Université de Lausanne, Switzerland (2)
- Université de Montréal (2)
- Université de Montréal, Canada (6)
- University of Canberra Research Repository - Australia (1)
- University of Connecticut - USA (2)
- University of Michigan (81)
- University of Queensland eSpace - Australia (21)
- University of Washington (5)
- 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.