The estimation of bedload in poorly-gauged mountain rivers
Subject:
Bedload, gravel-bed rivers
Sediment transport
Modelling
Publication date:
Editorial:
Elsevier
Publisher version:
Citación:
Abstract:
Bedload transport is one major driver of gravel-bed river morphodynamics, and its quantification is capital for many environmental issues and river engineering applications, as well as for landscape evolution studies. To this point, bedload transport rates and volum es have been classically computed by means of sediment transport formu lae. The most used bedload transport equations compute the bulk mass bedload based on section-averaged hydraulic parameters. However, due to the non-linear behavior of sediment transport, bedload formu lae are sensitive to the input parameters. Then, some doubts arise when applying bedload equations on poorly gauged river reaches, i.e. rivers where there are no hydrological records and rating curves. In this paper, we assess the application of bedload equations in the case of poorly gauged river reaches, and we test a workflow to follow in such situations. This workflow consists of three steps: (i) Reconstructing the flow duration curve, based on gauging records from neighboring river basins; (ii) Solving the hydraulic geometry relations of the study-case river-reach, based on a flow friction equation; and finally, (iii) Computing bedload with a sediment transport equation. We tested this approach against the bedload information available in the literature for Idaho streams and we found that it could potentially approximate annual bedload volum es in ungauged reaches under certain conditions. To illustrate the potential of this workflow, we also computed bedload volum es for two ungauged river reaches from the Cantabrian mountains (NW Spain).
Bedload transport is one major driver of gravel-bed river morphodynamics, and its quantification is capital for many environmental issues and river engineering applications, as well as for landscape evolution studies. To this point, bedload transport rates and volum es have been classically computed by means of sediment transport formu lae. The most used bedload transport equations compute the bulk mass bedload based on section-averaged hydraulic parameters. However, due to the non-linear behavior of sediment transport, bedload formu lae are sensitive to the input parameters. Then, some doubts arise when applying bedload equations on poorly gauged river reaches, i.e. rivers where there are no hydrological records and rating curves. In this paper, we assess the application of bedload equations in the case of poorly gauged river reaches, and we test a workflow to follow in such situations. This workflow consists of three steps: (i) Reconstructing the flow duration curve, based on gauging records from neighboring river basins; (ii) Solving the hydraulic geometry relations of the study-case river-reach, based on a flow friction equation; and finally, (iii) Computing bedload with a sediment transport equation. We tested this approach against the bedload information available in the literature for Idaho streams and we found that it could potentially approximate annual bedload volum es in ungauged reaches under certain conditions. To illustrate the potential of this workflow, we also computed bedload volum es for two ungauged river reaches from the Cantabrian mountains (NW Spain).
Patrocinado por:
The present work has been possible thanks to the financial support provided by the grant ACB17-44, co-funded by the post-doctoral ‘Clarín Program-FICYT’ (Government of the Principality of Asturias) and the Marie Curie Co-Fund, as well as support from the project RIVERCHANGES-CGL2015-68824-R (MINECO/FEDER, UE). First author was also supported by the Spanish National R&D + i Plan research project entitled “Advanced methodologies for scientific- technical analysis of flood risk for the improvement of resilience and risk mitigation” (DRAINAGE-3-R under Grant CGL2017-83546-C3-3-R AEI/FEDER, UE), funded by the Spanish Ministry of Economy and Competitiveness (now Ministry of Science and Innovation). This work was also supported by the European Regional Development Fund (ERDF) through the project “RISKCOAST” (SOE3/P4/E0868) of the Interreg SUDOE Programme
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