skip to main content
Visitante
Meu Espaço
Minha Conta
Sair
Identificação
This feature requires javascript
Tags
Revistas Eletrônicas (eJournals)
Livros Eletrônicos (eBooks)
Bases de Dados
Bibliotecas USP
Ajuda
Ajuda
Idioma:
Inglês
Espanhol
Português
This feature required javascript
This feature requires javascript
Primo Search
Busca Geral
Busca Geral
Acervo Físico
Acervo Físico
Produção Intelectual da USP
Produção USP
Search For:
Clear Search Box
Search in:
Busca Geral
Or hit Enter to replace search target
Or select another collection:
Search in:
Busca Geral
Busca Avançada
Busca por Índices
This feature requires javascript
This feature requires javascript
An improved correlation model for sediment delivery ratio assessment
Diodato, Nazzareno ; Grauso, Sergio
Environmental earth sciences, 2009-11, Vol.59 (1), p.223-231
[Periódico revisado por pares]
Berlin/Heidelberg: Springer-Verlag
Texto completo disponível
Citações
Citado por
Exibir Online
Detalhes
Resenhas & Tags
Mais Opções
Nº de Citações
This feature requires javascript
Enviar para
Adicionar ao Meu Espaço
Remover do Meu Espaço
E-mail (máximo 30 registros por vez)
Imprimir
Link permanente
Referência
EasyBib
EndNote
RefWorks
del.icio.us
Exportar RIS
Exportar BibTeX
This feature requires javascript
Título:
An improved correlation model for sediment delivery ratio assessment
Autor:
Diodato, Nazzareno
;
Grauso, Sergio
Assuntos:
Areal geology
;
Areal geology. Maps
;
Biogeosciences
;
Earth and Environmental Science
;
Earth Sciences
;
Earth, ocean, space
;
Environmental Science and Engineering
;
Exact sciences and technology
;
Geochemistry
;
Geologic maps, cartography
;
Geology
;
Hydrology/Water Resources
;
Marine and continental quaternary
;
Original Article
;
Studies
;
Surficial geology
;
Terrestrial Pollution
É parte de:
Environmental earth sciences, 2009-11, Vol.59 (1), p.223-231
Descrição:
In the present work, a new simplified model approach for sediment delivery ratio (SDR) assessment is proposed. Modelling and assessing SDR is still an open question. Difficulties rise from the lack of sufficient data availability, on one side, and, on the other, from the inherent uncertainties including spatial variability and temporal discontinuity of the land cover, climatic, hydrological and geomorphological variables involved. The proposed SDR SIM model tries to skip over the limitations observed in other models generally adopted. A comparison with two different selected models amongst the most widespread simplified models, i.e. the area-model and the slope-model, is showed in application to a wide range of catchments extensions across different landscapes of Italy. The SDR SIM estimates were also evaluated against observed SDR over a validation dataset of 11 basins sparse over different regions of the world. The results showed the effectiveness of the proposed model approach based on easily available catchment parameters.
Editor:
Berlin/Heidelberg: Springer-Verlag
Idioma:
Inglês
Links
View record in Pascal Francis
This feature requires javascript
This feature requires javascript
Voltar para lista de resultados
This feature requires javascript
This feature requires javascript
Buscando em bases de dados remotas. Favor aguardar.
Buscando por
em
scope:(USP_VIDEOS),scope:("PRIMO"),scope:(USP_FISICO),scope:(USP_EREVISTAS),scope:(USP),scope:(USP_EBOOKS),scope:(USP_PRODUCAO),primo_central_multiple_fe
Mostrar o que foi encontrado até o momento
This feature requires javascript
This feature requires javascript
Página Inicial
RSS
Feed
Políticas
Fale Conosco
Logos de Redes Sociais: 
Logos de Redes Sociais: