Particle Image Velocimetry Analysis of Bedload Sampling in a Sand-Bed River

Both the excess and alteration of bed sediments in river systems can cause socioeconomic and environmental damage; thus, the quantification of bedload transport is an important tool to assess the health of rivers and help in decision-making imposed by the agencies responsible for water resource management. This work aims to evaluate the efficiency of pressure-difference samplers (Helley–Smith) qualitatively and quantitatively when used in environments with sandy characteristics. The experiments were carried out in a stream with full transparency and two pressure-difference samplers with nozzle dimensions of 7.20 × 7.20 cm and 8.89 × 7.50 cm. The Particle Image Velocimetry technique was used to analyze the sampler efficiency simultaneously with an Acoustic Doppler Current Profiler. Qualitative results showed that the way the equipment is allocated at the bottom of the river can generate overestimated or underestimated sediment transport measurements. Additionally, evaluating it quantitatively, we see that the collection efficiency of the equipment varied between 15.45% and 534.78% when compared to the results obtained by the Particle Image Velocimetry technique.

Authors

Institutions

Publication Details

Journal
Fluids
Published
2025-06-27
DOI
https://doi.org/10.3390/fluids10070165
Citations
1
Primary Topic
Hydrology and Sediment Transport Processes
Type
article
Field-Weighted Citation Impact
1.72

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Particle Image Velocimetry Analysis of Bedload Sampling in a Sand-Bed River

Rodrigo Bahia Pereira, Tobias Bleninger, Liege Fernanda Koston Wosiacki, Pedro A. P. Zamboni et al.
1 citations
Fluids
Hydrology and Sediment Transport Processes
1.72
article

Particle Image Velocimetry Analysis of Bedload Sampling in a Sand-Bed River

Rodrigo Bahia Pereira, Tobias Bleninger, Liege Fernanda Koston Wosiacki, Pedro A. P. Zamboni, Johannes Gérson Janzen, Fábio Veríssimo Gonçalves, Glauber Altrão Carvalho
article en
1 citations

Abstract

Both the excess and alteration of bed sediments in river systems can cause socioeconomic and environmental damage; thus, the quantification of bedload transport is an important tool to assess the health of rivers and help in decision-making imposed by the agencies responsible for water resource management. This work aims to evaluate the efficiency of pressure-difference samplers (Helley–Smith) qualitatively and quantitatively when used in environments with sandy characteristics. The experiments were carried out in a stream with full transparency and two pressure-difference samplers with nozzle dimensions of 7.20 × 7.20 cm and 8.89 × 7.50 cm. The Particle Image Velocimetry technique was used to analyze the sampler efficiency simultaneously with an Acoustic Doppler Current Profiler. Qualitative results showed that the way the equipment is allocated at the bottom of the river can generate overestimated or underestimated sediment transport measurements. Additionally, evaluating it quantitatively, we see that the collection efficiency of the equipment varied between 15.45% and 534.78% when compared to the results obtained by the Particle Image Velocimetry technique.

FluidsVol. 10(7)
Universidade Federal de Mato Grosso do Sul (BR), Universidade Federal de Mato Grosso (BR), Universidade Federal do Paraná (BR)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Universidade Federal do Paraná, Universidade Federal de Mato Grosso do Sul, U.S. Geological Survey
Openalex Percentile: Top 16%
Hydrology and Sediment Transport Processes
1.72
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.