The University of Southampton
University of Southampton Institutional Repository

Propagation of hydro-geomorphic disturbances through continental-scale river basins

Propagation of hydro-geomorphic disturbances through continental-scale river basins
Propagation of hydro-geomorphic disturbances through continental-scale river basins
Hundreds of millions of people live close to, and depend upon, the world's large rivers for water, food, transport and the maintenance of a thriving ecosystem. However, these rivers are increasingly vulnerable to the effects of a wide range of natural and human-induced disturbances, including climate change, construction of large dams, river engineering works, deforestation, agricultural intensification, and mining activity. Over the past two decades, climate change and deforestation have impacted on the hydrology and sediment fluxes within the Amazon River Basin, and yet, the Amazon has remained one of the few large river systems that has been largely unaffected by dams. Nevertheless, because of extensive hydropower dam construction in Brazil, Bolivia, Peru and Ecuador now threatens the basin, with more 300 dams planned or under construction, this situation is changing rapidly. These dams are expected to trigger severe hydro-physical and ecological disturbances throughout the basin, including massive reductions in sediment and nutrient delivery to the lowland Amazon and its floodplains, substantial degradation of riverbeds and banks, significant changes in river water levels and flooding, and adverse impacts on river and floodplain ecosystems, on which the human population depends. There is a pressing need for action to assess and mitigate these impacts. However, our capacity to do this is severely restricted by an absence of quantitative models that can predict how environmental disturbances propagate through large rivers and floodplains, over continental distances, and decadal to centennial time periods. A key challenge in this respect is the need to develop models that are both physically-realistic and also computationally-efficient. The latter is critical for model application at the basin scale, and in order to derive large simulation ensembles that account for the substantial uncertainty in model parameters and environmental boundary conditions. We report here on the development and evaluation of such a model that operates at coarse spatial (10 km) and temporal (daily to annual) resolutions. Our new modelling approach simulates changes in river morphology (mean width, depth and slope), channel-belt topography (expressed as an elevation frequency distribution), and associated changes in flow conveyance, channel-floodplain connectivity and sediment delivery to downstream reaches. Model predictions are compared with, and evaluated against, simulations of river response to dam construction generated using a high-resolution physics-based modelling approach (with spatial and temporal resolutions of 50 m and <10 seconds). This comparison demonstrates that our new simplified model is able to reproduce the key trends in river evolution simulated by the physics-based model, and their dependence on the magnitude of the shift in hydrologic regime and sediment trapping efficiency for a range of environmental scenarios. Consequently, this new model may provide a suitable approach with which to evaluate the propagation of morphodynamic disturbances at the scale of very large basins, such as the Amazon.
Gasparotto, Andrea
e47e07cd-358a-4ee2-a3bd-5ee836fa5f0e
Nicholas, Andrew
6406b349-a2c8-4dc6-9d13-6aa70154229a
Aalto, Rolf
78fbaea1-c10c-44da-a6a1-6f0a1eeff388
Ashworth, Phil
4332f573-928f-408f-aa8f-816338ecad78
Best, James
307c0d1d-bff5-459a-abcd-38a649ced8ef
Brückner, Muriel
b14fccdf-9a6b-4394-b3e2-b08162e0db37
Almeida, Renato Paes de
95bdbc13-2c4d-471d-a8f3-da1ba73cdf75
Gasparotto, Andrea
e47e07cd-358a-4ee2-a3bd-5ee836fa5f0e
Nicholas, Andrew
6406b349-a2c8-4dc6-9d13-6aa70154229a
Aalto, Rolf
78fbaea1-c10c-44da-a6a1-6f0a1eeff388
Ashworth, Phil
4332f573-928f-408f-aa8f-816338ecad78
Best, James
307c0d1d-bff5-459a-abcd-38a649ced8ef
Brückner, Muriel
b14fccdf-9a6b-4394-b3e2-b08162e0db37
Almeida, Renato Paes de
95bdbc13-2c4d-471d-a8f3-da1ba73cdf75

Gasparotto, Andrea, Nicholas, Andrew, Aalto, Rolf, Ashworth, Phil, Best, James, Brückner, Muriel and Almeida, Renato Paes de (2024) Propagation of hydro-geomorphic disturbances through continental-scale river basins. EGU General Assembly 2024, , Vienna, Austria. 14 Mar - 19 Apr 2024. (doi:10.5194/egusphere-egu24-17425).

Record type: Conference or Workshop Item (Other)

Abstract

Hundreds of millions of people live close to, and depend upon, the world's large rivers for water, food, transport and the maintenance of a thriving ecosystem. However, these rivers are increasingly vulnerable to the effects of a wide range of natural and human-induced disturbances, including climate change, construction of large dams, river engineering works, deforestation, agricultural intensification, and mining activity. Over the past two decades, climate change and deforestation have impacted on the hydrology and sediment fluxes within the Amazon River Basin, and yet, the Amazon has remained one of the few large river systems that has been largely unaffected by dams. Nevertheless, because of extensive hydropower dam construction in Brazil, Bolivia, Peru and Ecuador now threatens the basin, with more 300 dams planned or under construction, this situation is changing rapidly. These dams are expected to trigger severe hydro-physical and ecological disturbances throughout the basin, including massive reductions in sediment and nutrient delivery to the lowland Amazon and its floodplains, substantial degradation of riverbeds and banks, significant changes in river water levels and flooding, and adverse impacts on river and floodplain ecosystems, on which the human population depends. There is a pressing need for action to assess and mitigate these impacts. However, our capacity to do this is severely restricted by an absence of quantitative models that can predict how environmental disturbances propagate through large rivers and floodplains, over continental distances, and decadal to centennial time periods. A key challenge in this respect is the need to develop models that are both physically-realistic and also computationally-efficient. The latter is critical for model application at the basin scale, and in order to derive large simulation ensembles that account for the substantial uncertainty in model parameters and environmental boundary conditions. We report here on the development and evaluation of such a model that operates at coarse spatial (10 km) and temporal (daily to annual) resolutions. Our new modelling approach simulates changes in river morphology (mean width, depth and slope), channel-belt topography (expressed as an elevation frequency distribution), and associated changes in flow conveyance, channel-floodplain connectivity and sediment delivery to downstream reaches. Model predictions are compared with, and evaluated against, simulations of river response to dam construction generated using a high-resolution physics-based modelling approach (with spatial and temporal resolutions of 50 m and <10 seconds). This comparison demonstrates that our new simplified model is able to reproduce the key trends in river evolution simulated by the physics-based model, and their dependence on the magnitude of the shift in hydrologic regime and sediment trapping efficiency for a range of environmental scenarios. Consequently, this new model may provide a suitable approach with which to evaluate the propagation of morphodynamic disturbances at the scale of very large basins, such as the Amazon.

This record has no associated files available for download.

More information

Published date: 11 March 2024
Venue - Dates: EGU General Assembly 2024, , Vienna, Austria, 2024-03-14 - 2024-04-19

Identifiers

Local EPrints ID: 494547
URI: http://eprints.soton.ac.uk/id/eprint/494547
PURE UUID: 8b83dcc6-ae8e-4ed9-9108-e2057c9e8280
ORCID for Andrea Gasparotto: ORCID iD orcid.org/0000-0002-9320-5480

Catalogue record

Date deposited: 10 Oct 2024 16:41
Last modified: 12 Oct 2024 03:02

Export record

Altmetrics

Contributors

Author: Andrea Gasparotto ORCID iD
Author: Andrew Nicholas
Author: Rolf Aalto
Author: Phil Ashworth
Author: James Best
Author: Muriel Brückner
Author: Renato Paes de Almeida

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×