Research on river velocity and flow estimation based on scalar transport equation

ABSTRACT River flow measurements are of great significance for flood prevention. Traditional immersion measurement methods not only consume manpower and material resources but are also greatly affected by the environment. Non-immersion image flow measurement methods have attracted widespread attention owing to their simplicity and safety. This paper proposes a flow measurement algorithm based on the scalar transport equation. Combining the scalar transport equation with fluid mechanics is more consistent with hydrodynamic characteristics and provides a better physical basis than other methods. Simultaneously, to calculate the two-dimensional velocity vector, it is assumed that the 3 × 3-pixel area at the speed measurement point exhibits exactly the same motion trend between two adjacent frames. Because only a few key speed measurement points are calculated, the calculation time of this method is significantly reduced compared with other methods. To verify the feasibility of the algorithm, two rivers at hydrological stations were selected to estimate their flow. The experimental results show that the total flow error of the proposed method is only 3.29 and 2.79% compared with the total flow measured by the current meter, which is a significant improvement over other methods.

Authors

Institutions

Publication Details

Journal
Journal of Hydroinformatics
Published
2025-04-24
DOI
https://doi.org/10.2166/hydro.2025.315
Citations
1
Primary Topic
Hydrology and Watershed Management Studies
Type
article
Field-Weighted Citation Impact
0.82

Funders

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

Research on river velocity and flow estimation based on scalar transport equation

Jianping Wang, Zhiguang Xiong, Guo Zhang, X. H. Pu et al.
1 citations
Journal of Hydroinformatics
Hydrology and Watershed Management Studies
0.82
article

Research on river velocity and flow estimation based on scalar transport equation

Jianping Wang, Zhiguang Xiong, Guo Zhang, X. H. Pu, Guangqiang Yao
article en
1 citations

Abstract

ABSTRACT River flow measurements are of great significance for flood prevention. Traditional immersion measurement methods not only consume manpower and material resources but are also greatly affected by the environment. Non-immersion image flow measurement methods have attracted widespread attention owing to their simplicity and safety. This paper proposes a flow measurement algorithm based on the scalar transport equation. Combining the scalar transport equation with fluid mechanics is more consistent with hydrodynamic characteristics and provides a better physical basis than other methods. Simultaneously, to calculate the two-dimensional velocity vector, it is assumed that the 3 × 3-pixel area at the speed measurement point exhibits exactly the same motion trend between two adjacent frames. Because only a few key speed measurement points are calculated, the calculation time of this method is significantly reduced compared with other methods. To verify the feasibility of the algorithm, two rivers at hydrological stations were selected to estimate their flow. The experimental results show that the total flow error of the proposed method is only 3.29 and 2.79% compared with the total flow measured by the current meter, which is a significant improvement over other methods.

Journal of HydroinformaticsVol. 27(5)
Kunming University of Science and Technology (CN), State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering (CN), Chuxiong Normal University (CN)
Innovative Research Group Project of the National Natural Science Foundation of China
Openalex Percentile: Top 27%
Hydrology and Watershed Management Studies
0.82
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.

Research on river velocity and flow estimation based on scalar transport equation — Jianping Wang, Zhiguang Xiong, et al. · Journal of Hydroinformatics (2025) | TGRS Research Map | TGRS