Assessment of the sedimentation and trapping efficiency in dam reservoirs by applying the settling basin framework

The investigated object is the Lobo Dam reservoir, located in the south part of the Lobo River Basin in west-central Côte d’Ivoire, West Africa. Dam reservoirs in tropical climates face rapid siltation and eutrophication challenges, necessitating new analytical solutions to understand their capacity to trap sediment inputs. This study presents a hydrosedimentary mathematical model based on the theory of settling basins and Gamma Law approaches to describe the settling velocity of suspended solids. Using field data from the Lobo River reservoir in Côte d′Ivoire. The analysis shows that the reservoir's trapping capacity is influenced by settling velocity, critical velocity, shape parameter 1/r, and the Peclet number (Pe). The study found strong synchronization between models for constant settling velocity (CV-NT, CV-CM, CV-Teeter (1986)) and variable settling velocity (VV-NT, VV-CM) with Teeter’s (1986) model. This agreement validates the proposed models. However, for Pe > 4, the numerical values and curves fall outside the validity range of Teeter’s (1986) model, particularly during dry periods. The findings provide crucial insights into the hydrosedimentary dynamics of the Lobo River reservoir, emphasizing the need to account for seasonal variations and hydrological conditions. This research offers valuable guidance for sediment and water resource management, contributing to the sustainability of reservoirs in tropical regions facing similar environmental pressures. • The methodology combines the mathematical models based on the theory of settling basins to describe the settling velocity of suspended solids based on four Gamma Law approaches. • The novelty of our research is that the accurate settling velocity of grains can describe the transport and sedimentation of suspended solids in dam reservoirs. • The results of our study are particularly relevant for understanding the processes of transport and accumulation of sediments in reservoirs, which is essential from the point of view of ecology and sediment management in dam reservoirs. • The research and field measurements carried out allowed us to verify the modelling results and draw generalised conclusions that can be applied to other dam reservoirs as well.

Authors

Institutions

Publication Details

Journal
Journal of Hydrology Regional Studies
Published
2025-01-09
DOI
https://doi.org/10.1016/j.ejrh.2024.102172
Citations
2
Primary Topic
Hydrology and Watershed Management Studies
Type
article
Field-Weighted Citation Impact
1.63
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessment of the sedimentation and trapping efficiency in dam reservoirs by applying the settling basin framework

Ouédé Gla Blaise, Franck Hervé Akaffou, Michał Habel, Brou Dibi et al.
2 citations
Journal of Hydrology Regional Studies
Hydrology and Watershed Management Studies
1.63
article

Assessment of the sedimentation and trapping efficiency in dam reservoirs by applying the settling basin framework

Ouédé Gla Blaise, Franck Hervé Akaffou, Michał Habel, Brou Dibi, Brou Loukou Alexis, Kouakou Lazare Kouassı, Bréhima Coulibaly, Bérenger Koffi, Martín Sánchez, Koffi Eugène Kouakou, Amani Michel Kouassi
article en
2 citations

Abstract

The investigated object is the Lobo Dam reservoir, located in the south part of the Lobo River Basin in west-central Côte d’Ivoire, West Africa. Dam reservoirs in tropical climates face rapid siltation and eutrophication challenges, necessitating new analytical solutions to understand their capacity to trap sediment inputs. This study presents a hydrosedimentary mathematical model based on the theory of settling basins and Gamma Law approaches to describe the settling velocity of suspended solids. Using field data from the Lobo River reservoir in Côte d′Ivoire. The analysis shows that the reservoir's trapping capacity is influenced by settling velocity, critical velocity, shape parameter 1/r, and the Peclet number (Pe). The study found strong synchronization between models for constant settling velocity (CV-NT, CV-CM, CV-Teeter (1986)) and variable settling velocity (VV-NT, VV-CM) with Teeter’s (1986) model. This agreement validates the proposed models. However, for Pe > 4, the numerical values and curves fall outside the validity range of Teeter’s (1986) model, particularly during dry periods. The findings provide crucial insights into the hydrosedimentary dynamics of the Lobo River reservoir, emphasizing the need to account for seasonal variations and hydrological conditions. This research offers valuable guidance for sediment and water resource management, contributing to the sustainability of reservoirs in tropical regions facing similar environmental pressures. • The methodology combines the mathematical models based on the theory of settling basins to describe the settling velocity of suspended solids based on four Gamma Law approaches. • The novelty of our research is that the accurate settling velocity of grains can describe the transport and sedimentation of suspended solids in dam reservoirs. • The results of our study are particularly relevant for understanding the processes of transport and accumulation of sediments in reservoirs, which is essential from the point of view of ecology and sediment management in dam reservoirs. • The research and field measurements carried out allowed us to verify the modelling results and draw generalised conclusions that can be applied to other dam reservoirs as well.

Journal of Hydrology Regional StudiesVol. 57
Centre National de la Recherche Scientifique (FR), Kazimierz Wielki University in Bydgoszcz (PL), Université Jean Lorougnon Guédé (CI), Institut National Polytechnique Félix Houphouët-Boigny (CI), Laboratoire de Planétologie et Géosciences (FR), Nantes Université (FR)
Openalex Percentile: Top 19%
Hydrology and Watershed Management Studies
1.63
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.