2007
DOI: 10.1590/s1415-43662007000100013
|View full text |Cite
|
Sign up to set email alerts
|

Seleção de modelos para o traçado de curvas granulométricas de sedimentos em suspensão em rios

Abstract: RESUMOO conhecimento da distribuição granulométrica dos sedimentos em suspensão em cursos d'água é fundamental para a realização de estudos hidrossedimentológicos. As técnicas geralmente utilizadas para a avaliação da distribuição granulométrica de amostras de sedimentos resultam em valores pontuais, dependendo de posterior interpolação para o traçado da curva granulométrica e para a obtenção de diâmetros característicos específicos. A transformação de valores pontuais em funções contínuas pode ser realizada p… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Year Published

2011
2011
2017
2017

Publication Types

Select...
4

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(3 citation statements)
references
References 15 publications
0
3
0
Order By: Relevance
“…Tested five log-normal models for 71 soils from New Zealand Hwang et al (2002) Evaluated fitting ability at 7 models on 1387 Korean soil samples Hwang (2004) Studied the effect of soil texture of 1387 Korean soil samples on the performance of nine different PSD models Lima and Silva (2007) Conducted a study on PSD of suspended sediments in river water Bah et al (2009) Compared the fitting ability of seven PSD models to data of 55 fine-textured soil samples from New South Wales in Australia Bagarello et al (2009) Evaluated the ability of the hyperbolic and Fredlund models to fit 243 soils Shangguan (2012) Investigated ten PSD models for the conversion of soil texture classification from ISSS and Katschineski to FAO/USDA system for soils from china Botula et al (2013) Evaluated the performance of 18 PSD models for 1412 soils from Central Africa which had humid tropics Weipeng et al (2015) Studied critical evaluation of PSD models of 1013 soil samples from different regions of china Bayat et al (2015) Investigated fitting capability of PSD models on the 713 PSD experimental data of the UNSODA database…”
Section: Methodsmentioning
confidence: 99%
“…Tested five log-normal models for 71 soils from New Zealand Hwang et al (2002) Evaluated fitting ability at 7 models on 1387 Korean soil samples Hwang (2004) Studied the effect of soil texture of 1387 Korean soil samples on the performance of nine different PSD models Lima and Silva (2007) Conducted a study on PSD of suspended sediments in river water Bah et al (2009) Compared the fitting ability of seven PSD models to data of 55 fine-textured soil samples from New South Wales in Australia Bagarello et al (2009) Evaluated the ability of the hyperbolic and Fredlund models to fit 243 soils Shangguan (2012) Investigated ten PSD models for the conversion of soil texture classification from ISSS and Katschineski to FAO/USDA system for soils from china Botula et al (2013) Evaluated the performance of 18 PSD models for 1412 soils from Central Africa which had humid tropics Weipeng et al (2015) Studied critical evaluation of PSD models of 1013 soil samples from different regions of china Bayat et al (2015) Investigated fitting capability of PSD models on the 713 PSD experimental data of the UNSODA database…”
Section: Methodsmentioning
confidence: 99%
“…Numerous studies have been undertaken in order to understand and quantify the erosion process (Lima and Silva, 2007;Sveistrup et al, 2008;Nunes and Cassol, 2011;Santos and Sparovek, 2011). In contrast, few studies characterize the sediment generated by erosion in terms of its macro and micromorphology.…”
Section: Introductionmentioning
confidence: 99%
“…A technique to quantify these sediments is the determination of the solid discharge, which is characterized mostly by the estimation of the quantity of suspended sediments that pass through a transversal section per unit of time (LIMA & SILVA, 2007;LIMA, SILVA & CARVALHO, 2006). In most watercourses, this portion in suspension represents more than 90% of the total sediment discharge (CARVALHO, et al, 2000).…”
Section: Introductionmentioning
confidence: 99%