Classification and Prediction of Natural Streamflow Regimes in Arid Regions of the USA

Understanding how natural variation in flow regimes influences stream ecosystem structure and function is critical to the development of effective stream management policies. Spatial variation in flow regimes among streams is reasonably well understood for streams in mesic regions, but a more robust...

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Main Authors: Angela M. Merritt, Belize Lane, Charles P. Hawkins
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Water
Subjects:
Online Access:https://www.mdpi.com/2073-4441/13/3/380
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spelling doaj-7a69053f12484e699a7bb3e3e8392e832021-02-02T00:04:52ZengMDPI AGWater2073-44412021-02-011338038010.3390/w13030380Classification and Prediction of Natural Streamflow Regimes in Arid Regions of the USAAngela M. Merritt0Belize Lane1Charles P. Hawkins2Department of Watershed Sciences, National Aquatic Monitoring Center and Ecology Center, Utah State University, Logan, UT 84322-5210, USADepartment of Civil and Environmental Engineering, Utah State University, Logan, UT 84322-5210, USADepartment of Watershed Sciences, National Aquatic Monitoring Center and Ecology Center, Utah State University, Logan, UT 84322-5210, USAUnderstanding how natural variation in flow regimes influences stream ecosystem structure and function is critical to the development of effective stream management policies. Spatial variation in flow regimes among streams is reasonably well understood for streams in mesic regions, but a more robust characterization of flow regimes in arid regions is needed, especially to support biological monitoring and assessment programs. In this paper, we used long-term (41 years) records of mean daily streamflow from 287 stream reaches in the arid and semi-arid western USA to develop and compare several alternative flow-regime classifications. We also evaluated how accurately we could predict the flow-regime classes of ungauged reaches. Over the 41-year record examined (water years 1972–2013), the gauged reaches varied continuously from always having flow > zero to seldom having flow. We predicted ephemeral and perennial reaches with less error than reaches with an intermediate number of zero-flow days or years. We illustrate application of our approach by predicting the flow-regime classes at ungauged reaches in Arizona, USA. Maps based on these predictions were generally consistent with qualitative expectations of how flow regimes vary spatially across Arizona. These results represent a promising step toward more effective assessment and management of streams in arid regions.https://www.mdpi.com/2073-4441/13/3/380flow regimesarid regionsclassificationpredictive modelsnonperennialephemeral
collection DOAJ
language English
format Article
sources DOAJ
author Angela M. Merritt
Belize Lane
Charles P. Hawkins
spellingShingle Angela M. Merritt
Belize Lane
Charles P. Hawkins
Classification and Prediction of Natural Streamflow Regimes in Arid Regions of the USA
Water
flow regimes
arid regions
classification
predictive models
nonperennial
ephemeral
author_facet Angela M. Merritt
Belize Lane
Charles P. Hawkins
author_sort Angela M. Merritt
title Classification and Prediction of Natural Streamflow Regimes in Arid Regions of the USA
title_short Classification and Prediction of Natural Streamflow Regimes in Arid Regions of the USA
title_full Classification and Prediction of Natural Streamflow Regimes in Arid Regions of the USA
title_fullStr Classification and Prediction of Natural Streamflow Regimes in Arid Regions of the USA
title_full_unstemmed Classification and Prediction of Natural Streamflow Regimes in Arid Regions of the USA
title_sort classification and prediction of natural streamflow regimes in arid regions of the usa
publisher MDPI AG
series Water
issn 2073-4441
publishDate 2021-02-01
description Understanding how natural variation in flow regimes influences stream ecosystem structure and function is critical to the development of effective stream management policies. Spatial variation in flow regimes among streams is reasonably well understood for streams in mesic regions, but a more robust characterization of flow regimes in arid regions is needed, especially to support biological monitoring and assessment programs. In this paper, we used long-term (41 years) records of mean daily streamflow from 287 stream reaches in the arid and semi-arid western USA to develop and compare several alternative flow-regime classifications. We also evaluated how accurately we could predict the flow-regime classes of ungauged reaches. Over the 41-year record examined (water years 1972–2013), the gauged reaches varied continuously from always having flow > zero to seldom having flow. We predicted ephemeral and perennial reaches with less error than reaches with an intermediate number of zero-flow days or years. We illustrate application of our approach by predicting the flow-regime classes at ungauged reaches in Arizona, USA. Maps based on these predictions were generally consistent with qualitative expectations of how flow regimes vary spatially across Arizona. These results represent a promising step toward more effective assessment and management of streams in arid regions.
topic flow regimes
arid regions
classification
predictive models
nonperennial
ephemeral
url https://www.mdpi.com/2073-4441/13/3/380
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