Literature DB >> 34976403

Implementing an Operational Framework to Develop a Streamflow Duration Assessment Method: A Case Study from the Arid West United States.

Raphael D Mazor1, Brian J Topping2, Tracie-Lynn Nadeau3, Ken M Fritz4, Julia E Kelso2,5, Rachel A Harrington6, Whitney S Beck2, Kenneth S McCune1, Aaron O Allen7, Robert Leidy8, James T Robb9, Gabrielle C L David10.   

Abstract

Streamflow duration information underpins many management decisions. However, hydrologic data are rarely available where needed. Rapid streamflow duration assessment methods (SDAMs) classify reaches based on indicators that are measured in a single brief visit. We evaluated a proposed framework for developing SDAMs to develop an SDAM for the Arid West United States that can classify reaches as perennial, intermittent, or ephemeral. We identified 41 candidate biological, geomorphological, and hydrological indicators of streamflow duration in a literature review, evaluated them for a number of desirable criteria (e.g., defensibility and consistency), and measured 21 of them at 89 reaches with known flow durations. We selected metrics for the SDAM based on their ability to discriminate among flow duration classes in analyses of variance, as well as their importance in a random forest model to predict streamflow duration. This approach resulted in a "beta" SDAM that uses five biological indicators. It could discriminate between ephemeral and non-ephemeral reaches with 81% accuracy, but only 56% accuracy when distinguishing 3 classes. A final method will be developed following expanded data collection. This Arid West study demonstrates the effectiveness of our approach and paves the way for more efficient development of scientifically informed SDAMs.

Entities:  

Keywords:  classification; ephemeral; flow duration; flow permanence; intermittency; intermittent; perennial; rapid assessment; streams; temporary

Year:  2021        PMID: 34976403      PMCID: PMC8715911          DOI: 10.3390/w13223310

Source DB:  PubMed          Journal:  Water (Basel)        ISSN: 2073-4441            Impact factor:   3.103


  16 in total

1.  Random forests for classification in ecology.

Authors:  D Richard Cutler; Thomas C Edwards; Karen H Beard; Adele Cutler; Kyle T Hess; Jacob Gibson; Joshua J Lawler
Journal:  Ecology       Date:  2007-11       Impact factor: 5.499

2.  Validation of rapid assessment methods to determine streamflow duration classes in the Pacific Northwest, USA.

Authors:  Tracie-Lynn Nadeau; Scott G Leibowitz; Parker J Wigington; Joseph L Ebersole; Ken M Fritz; Robert A Coulombe; Randy L Comeleo; Karen A Blocksom
Journal:  Environ Manage       Date:  2015-05-01       Impact factor: 3.266

3.  Ecoregions of the conterminous United States: evolution of a hierarchical spatial framework.

Authors:  James M Omernik; Glenn E Griffith
Journal:  Environ Manage       Date:  2014-09-16       Impact factor: 3.266

4.  Validating alternative methodologies to estimate the regime of temporary rivers when flow data are unavailable.

Authors:  F Gallart; P Llorens; J Latron; N Cid; M Rieradevall; N Prat
Journal:  Sci Total Environ       Date:  2016-05-29       Impact factor: 7.963

5.  Linking multidimensional functional diversity to quantitative methods: a graphical hypothesis--evaluation framework.

Authors:  Kate S Boersma; Laura E Dee; Steve J Miller; Michael T Bogan; David A Lytle; Alix I Gitelman
Journal:  Ecology       Date:  2016-03       Impact factor: 5.499

6.  TREHS: An open-access software tool for investigating and evaluating temporary river regimes as a first step for their ecological status assessment.

Authors:  Francesc Gallart; Núria Cid; Jérôme Latron; Pilar Llorens; Núria Bonada; Justin Jeuffroy; Sara-María Jiménez-Argudo; Rosa-María Vega; Carolina Solà; Maria Soria; Mònica Bardina; Antoni-Josep Hernández-Casahuga; Aránzazu Fidalgo; Teodoro Estrela; Antoni Munné; Narcís Prat
Journal:  Sci Total Environ       Date:  2017-07-27       Impact factor: 7.963

7.  Economic and ecological costs and benefits of streamflow augmentation using recycled water in a California coastal stream.

Authors:  Brian J Halaburka; Justin E Lawrence; Heather N Bischel; Janet Hsiao; Megan H Plumlee; Vincent H Resh; Richard G Luthy
Journal:  Environ Sci Technol       Date:  2013-05-30       Impact factor: 9.028

8.  Global prevalence of non-perennial rivers and streams.

Authors:  Mathis Loïc Messager; Bernhard Lehner; Charlotte Cockburn; Nicolas Lamouroux; Hervé Pella; Ton Snelder; Klement Tockner; Tim Trautmann; Caitlin Watt; Thibault Datry
Journal:  Nature       Date:  2021-06-16       Impact factor: 49.962

9.  What's in a Name? Patterns, Trends, and Suggestions for Defining Non-Perennial Rivers and Streams.

Authors:  Michelle H Busch; Katie H Costigan; Ken M Fritz; Thibault Datry; Corey A Krabbenhoft; John C Hammond; Margaret Zimmer; Julian D Olden; Ryan M Burrows; Walter K Dodds; Kate S Boersma; Margaret Shanafield; Stephanie K Kampf; Meryl C Mims; Michael T Bogan; Adam S Ward; Mariana Perez Rocha; Sarah Godsey; George H Allen; Joanna R Blaszczak; C Nathan Jones; Daniel C Allen
Journal:  Water (Basel)       Date:  2020-07-13       Impact factor: 3.103

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  1 in total

1.  Detecting Streamflow in Dryland Rivers Using CubeSats.

Authors:  Zhaocheng Wang; Enrique R Vivoni
Journal:  Geophys Res Lett       Date:  2022-08-04       Impact factor: 5.576

  1 in total

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