Articles | Volume 7, issue 2
https://doi.org/10.5194/esurf-7-515-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/esurf-7-515-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
04 Jun 2019
Research article |
| 04 Jun 2019
| 04 Jun 2019
An index concentration method for suspended load monitoring in large rivers of the Amazonian foreland
IRD, Toulouse, 31400, France
Laboratoire GET, CNRS, IRD, UPS, OMP, Toulouse, 31400, France
Benoît Camenen
Irstea, UR RiverLy, Lyon-Villeurbanne, 69625 Villeurbanne, France
Jérôme Le Coz
Irstea, UR RiverLy, Lyon-Villeurbanne, 69625 Villeurbanne, France
Philippe Vauchel
IRD, Toulouse, 31400, France
Laboratoire GET, CNRS, IRD, UPS, OMP, Toulouse, 31400, France
Jean-Loup Guyot
IRD, Toulouse, 31400, France
Laboratoire GET, CNRS, IRD, UPS, OMP, Toulouse, 31400, France
Waldo Lavado
SENAMHI, Lima, Lima 11, Peru
Jorge Carranza
SENAMHI, Lima, Lima 11, Peru
Marco A. Paredes
SENAMHI, Iquitos, Peru
Jhonatan J. Pérez Arévalo
SENAMHI, Iquitos, Peru
Nore Arévalo
Facultad de Ingeniería Agrícola, UNALM, La Molina, Lima 12, Peru
Raul Espinoza Villar
Facultad de Ingeniería Agrícola, UNALM, La Molina, Lima 12, Peru
IGP, Ate, Lima 15012, Peru
Frédéric Julien
Laboratoire ECOLAB, CNRS, INPT, UPS, Toulouse, 31400, France
Jean-Michel Martinez
IRD, Toulouse, 31400, France
Laboratoire GET, CNRS, IRD, UPS, OMP, Toulouse, 31400, France
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- Freshwater Flocculation Dependence on Turbulence Properties in the Usumacinta River K. Izquierdo–Ayala et al. 10.1061/(ASCE)HY.1943-7900.0001940
- Hydrogeomorphic Characterization of the Huallaga River for the Peruvian Amazon Waterway H. Valverde et al. 10.1061/JWPED5.WWENG-2021
- Hyperspectral retrievals of suspended sediment using cluster-based machine learning regression in shallow waters S. Kwon et al. 10.1016/j.scitotenv.2022.155168
- Multi Grain‐Size Total Sediment Load Model Based on the Disequilibrium Length M. Le Minor et al. 10.1029/2021JF006546
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- On the Relationship between Suspended Sediment Concentration, Rainfall Variability and Groundwater: An Empirical and Probabilistic Analysis for the Andean Beni River, Bolivia (2003–2016) I. Ayes Rivera et al. 10.3390/w11122497
- Suspended sediment properties in the Lower Mekong River, from fluvial to estuarine environments H. Le et al. 10.1016/j.ecss.2019.106522
- Contribution of meandering rivers to natural carbon fluxes: Evidence from the Ucayali River, Peruvian Amazonia R. Walcker et al. 10.1016/j.scitotenv.2021.146056
- Effects of spectral variability due to sediment and bottom characteristics on remote sensing for suspended sediment in shallow rivers S. Kwon et al. 10.1016/j.scitotenv.2023.163125
- Integrating Suspended Sediment Flux in Large Alluvial River Channels: Application of a Synoptic Rouse‐Based Model to the Irrawaddy and Salween Rivers J. Baronas et al. 10.1029/2020JF005554
18 citations as recorded by crossref.
- Entrainment and suspension of sand and gravel J. de Leeuw et al. 10.5194/esurf-8-485-2020
- Sediment Flows in South America Supported by Daily Hydrologic‐Hydrodynamic Modeling H. Fagundes et al. 10.1029/2020WR027884
- Sentinel-2 MSI image time series reveal hydrological and geomorphological control of the sedimentation processes in an Amazonian hydropower dam D. Alves e Santos et al. 10.1016/j.jag.2024.103786
- A novel high-resolution gridded precipitation dataset for Peruvian and Ecuadorian watersheds – development and hydrological evaluation 10.1175/JHM-D-20-0285.1
- A random displacement model of sediment transport in ice-covered alluvial channel flows F. Wang et al. 10.1007/s11356-022-20833-7
- <i>Escherichia coli</i> concentration, multiscale monitoring over the decade 2011–2021 in the Mekong River basin, Lao PDR L. Boithias et al. 10.5194/essd-14-2883-2022
- Flocculation of Riverine Sediment Draining to the Great Barrier Reef, Implications for Monitoring and Modeling of Sediment Dispersal Across Continental Shelves D. Livsey et al. 10.1029/2021JC017988
- The sources and seasonal fluxes of particulate organic carbon in the Yellow River Y. Qu et al. 10.1002/esp.4861
- Freshwater Flocculation Dependence on Turbulence Properties in the Usumacinta River K. Izquierdo–Ayala et al. 10.1061/(ASCE)HY.1943-7900.0001940
- Hydrogeomorphic Characterization of the Huallaga River for the Peruvian Amazon Waterway H. Valverde et al. 10.1061/JWPED5.WWENG-2021
- Hyperspectral retrievals of suspended sediment using cluster-based machine learning regression in shallow waters S. Kwon et al. 10.1016/j.scitotenv.2022.155168
- Multi Grain‐Size Total Sediment Load Model Based on the Disequilibrium Length M. Le Minor et al. 10.1029/2021JF006546
- A Mechanistic Model for Mud Flocculation in Freshwater Rivers J. Nghiem et al. 10.1029/2021JF006392
- Geomorphic risk maps for river migration using probabilistic modeling – a framework B. Noh et al. 10.5194/esurf-12-691-2024
- On the Relationship between Suspended Sediment Concentration, Rainfall Variability and Groundwater: An Empirical and Probabilistic Analysis for the Andean Beni River, Bolivia (2003–2016) I. Ayes Rivera et al. 10.3390/w11122497
- Suspended sediment properties in the Lower Mekong River, from fluvial to estuarine environments H. Le et al. 10.1016/j.ecss.2019.106522
- Contribution of meandering rivers to natural carbon fluxes: Evidence from the Ucayali River, Peruvian Amazonia R. Walcker et al. 10.1016/j.scitotenv.2021.146056
- Effects of spectral variability due to sediment and bottom characteristics on remote sensing for suspended sediment in shallow rivers S. Kwon et al. 10.1016/j.scitotenv.2023.163125
Discussed (preprint)
Latest update: 29 Jun 2024
Short summary
A simple model is proposed to improve the sediment concentration monitoring in the large rivers of the Peruvian Amazon from an index concentration sampled in the flow. This powerful tool for optimizing the concentration sampling would allow for detailed uncertainty analysis on the sediment fluxes. It could be coupled with remote sensing and hydrological modeling to serve as a step toward the development of an integrated approach for assessing sediment fluxes in poorly monitored basins.
A simple model is proposed to improve the sediment concentration monitoring in the large rivers...
