2021
DOI: 10.1016/j.jhydrol.2021.126512
|View full text |Cite
|
Sign up to set email alerts
|

Applicability of Diffusive model for mud-flows: An unsteady analysis

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(1 citation statement)
references
References 62 publications
0
1
0
Order By: Relevance
“…It is crucial to highlight that the outcomes of the present study refer to a single riparian vegetation species (common reed beds), while, in a more realistic perspective, the combined effect of two or more species represent a source of uncertainty which inevitably propagates in the vegetative Manning's n hydraulic roughness coefficient associated with each simulated cross-section, quantitatively varying in a wider range of values. Thus, this uncertainty could be reduced by implementing more complex and rigorous numerical analyses, obtained by coupling high-performance computational fluid dynamics (CFD) models [49][50][51][52][53] and simulations [54][55][56][57][58][59][60][61] with the most advanced remote sensing techniques of fluvial hydraulics, agro-forestry and land use governance interest [62][63][64][65][66][67][68][69][70][71].…”
Section: Discussionmentioning
confidence: 99%
“…It is crucial to highlight that the outcomes of the present study refer to a single riparian vegetation species (common reed beds), while, in a more realistic perspective, the combined effect of two or more species represent a source of uncertainty which inevitably propagates in the vegetative Manning's n hydraulic roughness coefficient associated with each simulated cross-section, quantitatively varying in a wider range of values. Thus, this uncertainty could be reduced by implementing more complex and rigorous numerical analyses, obtained by coupling high-performance computational fluid dynamics (CFD) models [49][50][51][52][53] and simulations [54][55][56][57][58][59][60][61] with the most advanced remote sensing techniques of fluvial hydraulics, agro-forestry and land use governance interest [62][63][64][65][66][67][68][69][70][71].…”
Section: Discussionmentioning
confidence: 99%