Propagation of hydro-geomorphic disturbances through continental-scale river basins: Future evolution of the Amazon River and its floodplain
Lead Research Organisation:
UNIVERSITY OF EXETER
Department Name: Geography
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 20 years, climate change and deforestation have impacted on the hydrology and sediment fluxes within the Amazon River Basin. However, the Amazon has remained one of the few large river systems that has been largely unaffected by dams. This situation is changing rapidly, because widespread hydropower dam construction in Brazil, Bolivia, Peru and Ecuador now threatens the basin, with >300 dams planned or under construction. 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 river beds and banks, significant changes in river water levels and flooding, and adverse impacts on river and floodplain ecosystems, on which the human population depends.
Recent high profile studies highlight the need for international action to assess and mitigate these impacts, both in the Amazon and elsewhere. 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. Critically, environmental disturbances driven by dams, climate and land cover change promote dynamic river responses (e.g., changes in river width, depth, slope, sediment size, degree of branching and rate of floodplain reworking), which in turn control changes in flood conveyance and downstream sediment delivery. Despite advances in modelling of river dynamics over short distances (<100 km), hydrological models that are applied to continental-scale drainage basins treat rivers and floodplains as static conduits. Consequently, such models are unable to represent or predict the future impacts of environmental change on flooding, sediment fluxes or river and floodplain functioning.
This project will deliver a step-change in our ability to model, predict and understand how the world's large rivers are impacted by, and respond to, environmental change. We will achieve this by implementing a research strategy that involves six elements: First, we will develop a new multi-scale numerical modelling approach that enables the effects of river dynamics on environmental disturbance propagation through continental-scale drainage basins to be simulated. Second, we will develop a suite of environmental scenarios representing climate and land cover changes and dam construction throughout the Amazon Basin for the recent past (1985-2015) and future (up to 2200). Third, we will collect new field datasets at sites on the Amazon River that are required to test key components of the model. Fourth, we will work with an international team of project partners to assemble high-resolution field, satellite and model datasets that quantify channel and floodplain processes, and river morphology and dynamics throughout the Amazon Basin. Fifth, we will use these data to carry out rigorous testing of our new model. Sixth, we will apply the model to predict the future evolution of the Amazon River and its tributaries for a wide range of environmental change scenarios, and quantify the controls on hydro-geomorphic disturbance propagation within large drainage basins. We will work with our project partners to disseminate our model code, datasets and project outcomes to non-academic stakeholders, both nationally and internationally.
Recent high profile studies highlight the need for international action to assess and mitigate these impacts, both in the Amazon and elsewhere. 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. Critically, environmental disturbances driven by dams, climate and land cover change promote dynamic river responses (e.g., changes in river width, depth, slope, sediment size, degree of branching and rate of floodplain reworking), which in turn control changes in flood conveyance and downstream sediment delivery. Despite advances in modelling of river dynamics over short distances (<100 km), hydrological models that are applied to continental-scale drainage basins treat rivers and floodplains as static conduits. Consequently, such models are unable to represent or predict the future impacts of environmental change on flooding, sediment fluxes or river and floodplain functioning.
This project will deliver a step-change in our ability to model, predict and understand how the world's large rivers are impacted by, and respond to, environmental change. We will achieve this by implementing a research strategy that involves six elements: First, we will develop a new multi-scale numerical modelling approach that enables the effects of river dynamics on environmental disturbance propagation through continental-scale drainage basins to be simulated. Second, we will develop a suite of environmental scenarios representing climate and land cover changes and dam construction throughout the Amazon Basin for the recent past (1985-2015) and future (up to 2200). Third, we will collect new field datasets at sites on the Amazon River that are required to test key components of the model. Fourth, we will work with an international team of project partners to assemble high-resolution field, satellite and model datasets that quantify channel and floodplain processes, and river morphology and dynamics throughout the Amazon Basin. Fifth, we will use these data to carry out rigorous testing of our new model. Sixth, we will apply the model to predict the future evolution of the Amazon River and its tributaries for a wide range of environmental change scenarios, and quantify the controls on hydro-geomorphic disturbance propagation within large drainage basins. We will work with our project partners to disseminate our model code, datasets and project outcomes to non-academic stakeholders, both nationally and internationally.
Planned Impact
The scientific advances that will be delivered by this project have direct relevance to a wide range of agencies concerned with economic, social, management and policy issues. Key beneficiaries of this research will include:
1. National and international engineering organisations and environmental consultancies that use numerical models to assess flood risk, infrastructure stability, sediment management problems, or aquatic habitat suitability.
2. Government agencies with responsibility for river management and policy planning in the context of flood mitigation, disruption to bankside communities and infrastructure, navigation, sediment management, and future climate change. Potential benefits of our research to these agencies are diverse, and include an ability to understand and quantify the impacts on riparian and floodplain communities of policy decisions related to dam construction, land cover change, flow regulation, and river engineering works.
3. International, national and regional NGOs that work to support local communities and seek to: (a) understand the potential environmental, social and economic impacts in river and floodplain landscapes resulting from the effects of climate change and anthropogenic activity; (b) support local communities affected by these impacts; (c) raise public awareness of impacts and their causes; and (d) influence and inform government policy designed to adapt to, and mitigate, these impacts.
4. GCSE and A Level geography teachers and students who study flood processes and flood vulnerable environments as part of the curricula and have to demonstrate quantitative data skills as part of their fieldwork and formative assessment.
These groups will benefit from the research undertaken here in multiple ways:
1. The numerical models developed in this project will be directly applicable to the river management problems addressed by these beneficiaries. Our models (and open source code) will be freely available to these agencies. We will also deliver workshop activities in the UK and USA to support training in the use of our models and their uptake by a broad group of beneficiaries.
2. To deliver benefits to these groups rapidly, we will work with two such agencies (the US Army Corps of Civil Engineers and their partners the Brazilian National Department of Transportation Infrastructure) to facilitate their use of our models and model datasets. This will include the co-design of our model simulations to address questions of specific concern to these Agencies on the Madeira River in Brazil, and support to enable the application of our models in other river basins of particular interest to these groups.
3. To maximise the longer-term benefits of our research we will disseminate our project outcomes in policy relevant formats to NGOs and government agencies with interests throughout the Amazon Basin. We will also run a widely publicised forum event, hosted by our partner the Royal Geographical Society, to debate the outcomes of our work with national and international engineering and environmental consulting companies, charities, government advisors and environmental lobbyists.
4. To deliver benefits from our research to teachers and students we will work with the RGS to produce educational resources targeted at GCSE and A level students, and undertake educational outreach activities at national events.
1. National and international engineering organisations and environmental consultancies that use numerical models to assess flood risk, infrastructure stability, sediment management problems, or aquatic habitat suitability.
2. Government agencies with responsibility for river management and policy planning in the context of flood mitigation, disruption to bankside communities and infrastructure, navigation, sediment management, and future climate change. Potential benefits of our research to these agencies are diverse, and include an ability to understand and quantify the impacts on riparian and floodplain communities of policy decisions related to dam construction, land cover change, flow regulation, and river engineering works.
3. International, national and regional NGOs that work to support local communities and seek to: (a) understand the potential environmental, social and economic impacts in river and floodplain landscapes resulting from the effects of climate change and anthropogenic activity; (b) support local communities affected by these impacts; (c) raise public awareness of impacts and their causes; and (d) influence and inform government policy designed to adapt to, and mitigate, these impacts.
4. GCSE and A Level geography teachers and students who study flood processes and flood vulnerable environments as part of the curricula and have to demonstrate quantitative data skills as part of their fieldwork and formative assessment.
These groups will benefit from the research undertaken here in multiple ways:
1. The numerical models developed in this project will be directly applicable to the river management problems addressed by these beneficiaries. Our models (and open source code) will be freely available to these agencies. We will also deliver workshop activities in the UK and USA to support training in the use of our models and their uptake by a broad group of beneficiaries.
2. To deliver benefits to these groups rapidly, we will work with two such agencies (the US Army Corps of Civil Engineers and their partners the Brazilian National Department of Transportation Infrastructure) to facilitate their use of our models and model datasets. This will include the co-design of our model simulations to address questions of specific concern to these Agencies on the Madeira River in Brazil, and support to enable the application of our models in other river basins of particular interest to these groups.
3. To maximise the longer-term benefits of our research we will disseminate our project outcomes in policy relevant formats to NGOs and government agencies with interests throughout the Amazon Basin. We will also run a widely publicised forum event, hosted by our partner the Royal Geographical Society, to debate the outcomes of our work with national and international engineering and environmental consulting companies, charities, government advisors and environmental lobbyists.
4. To deliver benefits from our research to teachers and students we will work with the RGS to produce educational resources targeted at GCSE and A level students, and undertake educational outreach activities at national events.
Organisations
- UNIVERSITY OF EXETER (Lead Research Organisation)
- University of Colorado Boulder (Project Partner)
- Nanyang Technological University (Project Partner)
- University of California Santa Barbara (Project Partner)
- Williams College (Project Partner)
- University of Bristol (Project Partner)
- University of Engineering and Technology (Project Partner)
- University of Alabama (Project Partner)
- University of São Paulo (Project Partner)
- US Army Corps of Engineers (Project Partner)
- Institute of Research for Dev (IRD) (Project Partner)
- University of Brasilia (Project Partner)
- Royal Geographical Society (Project Partner)
Publications
Brückner M
(2024)
Bank strength variability and its impact on the system-scale morphodynamics of the upper Amazon River in Brazil
in Geology
Nicholas A
(2025)
Modelling river and floodplain evolution using physics-based and reduced-complexity approaches
in Earth Surface Processes and Landforms
Nicholas, AP
(2025)
Modelling river and floodplain evolution using physics-based and reduced-complexity approaches
in Earth Surface Processes and Landforms
| Description | Two main findings of the project are especially noteworthy: The project has carried out computer modelling work that has shown what the impact would be of the construction of dams on the Andean tributaries of the Amazon River. This has been achieved through the application of a new modelling approach that has allowed us to quantify how rivers respond to human disturbances over large space (100s km) and time scales (multiple centuries). Our results show how dam construction could change the evolution of these Andean rivers, leading to the erosion of an alluvial trench within the floodplain. A key outcome of the formation of this trench would be a change in the water levels during floods, and the disconnection of large floodplain wetlands from the main river. This would have significant implications for the wetland ecosystems. The magnitude of this impact would depend on the rate of sediment transport within the river, prior to dam construction and on the rate of river bank erosion (channel migration). The process of channel migration is responsible for floodplain reworking and determines the width of the trench that is formed once the dam is built. This floodplain reworking also mobilises floodplain sediment and compensates for the trapping of sediment within behind the dam. Consequently, for rivers with high rates of lateral migration, the drop in the sediment load of the river that would normally be anticipated to be an outcome of dam construction would be much less pronounced, although the impacts of floodplain inundation and ecosystems would remain very significant. Our results have implications for dam construction and management, because they show how the nature and magnitude of environmental changes resulting from dam construction depend on the amount of sediment trapped by the dam (which depends on dam type and management). Our approach also allows the long-term impacts of such human disturbances to be evaluated, which is not possible prior to dam construction. The project has conducted field work on the lowland section of the Amazon River and shown, for the first time, that the stability of the river is strongly controlled by differences in the erodibility of the river banks. By combining these field measurements with the analysis of satellite imagery we have shown that the form and evolution of the whole of the lower Amazon (over 1600 km) is closely linked to the strength of sediments in the river banks. Our analysis suggests that the bank sediments provide a mechanism that keeps the river pinned against the valley sides and has done so in many places for thousands of years. This has very important implications for the functioning of very large areas (tens of thousands of square kilometres) of seasonally flooded forest, including how these floodplains store and cycle Carbon. |
| Exploitation Route | The work on river and floodplain responses to dam construction could be used by engineers, NGOs or in environmental impact assessments to evaluate the potential geomorphic, hydrological and ecological consequences of dam construction over periods of years to centuries and distances of hundreds of km. These results could also be used by policy makers and dam managers to inform decision concerning dam operations and sediment flushing strategies. The component of the work on the role of heterogeneity in bank strength as a control on river behaviour could be used by a wide range of environmental scientists to understand and interpret how floodplain sediment age and composition controls the dynamics of lowland rivers (e.g., to better understand rates and patterns of river bank migration and floodplain reworking). The mechanisms and behaviour elucidated by this research have been largely unrecognised in the past yet are fundamentally important controls on flooding, nutrient and carbon cycling and the erosion of agricultural land in many large rivers globally. |
| Sectors | Environment |
| Title | Bank strength measurements in the Amazon River, September to October 2022 |
| Description | These data contain bank strength measurements in a 100 km reach of the Solimões River from Sep/Oct 2022 recorded with a shear vane and a cohesion strength meter. In addition, processed satellite (Landsat) imagery from 1984-2021 was used to calculate erosional and depositional area in three 50-120 km long reaches in the Solimoes River presented here as shape-files. Processed Corona imagery 1967 for a 120 km long reach in the Solimoes River shows the banklines and bar outlines. A spreadsheet provides erosional and depositional area at 20-km sections along the 1,600km of the Solimoes River that were based on measuring floodplain width from a digital elevation model (FABDEM). We also attach a GeoTIFF file of the multibeam echo sounder (MBES) data collected during the field campaign in a 20-km long reach in the Solimoes River |
| Type Of Material | Database/Collection of data |
| Year Produced | 2024 |
| Provided To Others? | Yes |
| URL | https://catalogue.ceh.ac.uk/id/11786f86-a3ac-45ab-81b5-10fd157e3d7a |
| Title | Elevation-coloured relief map of multibeam echosounder (MBES) scans from the bed of the Solimoes River near Tefe, Brazil, 2022 |
| Description | This GeoTiff presents the results of multi-beam sonar scans of the bed of the Solimoes River (upper Amazon) collected in early October 2022 upstream of Tefe, Brazil. These scans were collected as part of our study of the characteristics of the river banks and bed, an investigation of controls on channel mobility (results were published in Bruckner, Aalto, et al., 2024, Geology v.52 (7), 533-538). It can be viewed as a simple TIF file in a photo viewer, or it can be imported into a GIS system for located display (and access to metadata). |
| Type Of Material | Database/Collection of data |
| Year Produced | 2025 |
| Provided To Others? | Yes |
| URL | https://catalogue.ceh.ac.uk/id/d589f56c-ec0a-4340-9718-f594b032a10d |
| Title | Modelling river and floodplain evolution using physics-based and reduced-complexity approaches |
| Description | The dataset contains the results presented in the paper: Nicholas AP (2025). Modelling river and floodplain evolution using physics-based and reduced-complexity approaches. Earth Surface Processes and Landforms, vol 50(2), doi: 10.1002/esp.70008 |
| Type Of Material | Database/Collection of data |
| Year Produced | 2025 |
| Provided To Others? | Yes |
| Impact | N/A |
| URL | https://doi.org/10.24378/exe.5526 |