Assessing the Hydrogeomorphic Effects of Environmental Flows using Hydrodynamic Modeling

Article

Abstract

Water managers are increasingly using environmental flows (e-flows) as a tool to improve ecological conditions downstream from impoundments. Recent studies have called for e-flow approaches that explicitly consider impacts on hydrogeomorphic processes when developing management alternatives. Process-based approaches are particularly relevant in river systems that have been highly modified and where water supplies are over allocated. One-dimensional (1D) and two-dimensional (2D) hydrodynamic models can be used to resolve hydrogeomorphic processes at different spatial and temporal scales to support the development, testing, and refinement of e-flow hypotheses. Thus, the objective of this paper is to demonstrate the use of hydrodynamic models as a tool for assisting stakeholders in targeting and assessing environmental flows within a decision-making framework. We present a case study of e-flows on the Rio Chama in northern New Mexico, USA, where 1D and 2D hydrodynamic modeling was used within a collaborative process to implement an e-flow experiment. A specific goal of the e-flow process was to improve spawning habitat for brown trout by flushing fine sediments from gravel features. The results revealed that the 2D hydrodynamic model provided much greater insight with respect to hydrodynamic and sediment transport processes, which led to a reduction in the recommended e-flow discharge. The results suggest that 2D hydrodynamic models can be useful tools for improving process understanding, developing e-flow recommendations, and supporting adaptive management even when limited or no data are available for model calibration and validation.

Keywords

Environmental flows Hydrodynamic modeling Adaptive management Sediment 

Notes

Acknowledgements

This research was supported by the National Science Foundation (Grant #1345169). We would like to thank Tetra Tech and GeoSystems Analysis Inc. for their role in collecting and analyzing data and for development of the HEC-RAS model. We would especially like to thank Steve Harris, Todd Caplan, Chad McKenna, Gregory Gustina, Walt Kuhn, Melinda Harm Benson, and Dr. Michael Harvey for continued insights and support throughout the duration of this project.

Compliance with Ethical Standards

Conflict of Interest

The authors declare that they have no conflict of interest.

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Authors and Affiliations

  1. 1.Department of Civil EngineeringUniversity of New MexicoAlbuquerqueUSA
  2. 2.Department of Civil and Environmental EngineeringColorado State UniversityFort CollinsUSA

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