The Design of a Site-Calibrated Parker–Klingeman Gravel Transport Model

The use of site-calibrated models for predicting bedload transport in gravel-bed rivers remains relatively rare, despite advances in methodology and computing technology, and its notable advantages in terms of predictive accuracy. This article presents a new algorithm for site calibration of the Par...

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Main Authors: Paul D. Bakke, Leonard S. Sklar, David R. Dawdy, Wen C. Wang
Format: Article
Language:English
Published: MDPI AG 2017-06-01
Series:Water
Subjects:
Online Access:http://www.mdpi.com/2073-4441/9/6/441
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spelling doaj-8b87fc7102d1463fb715cb3288b3940b2020-11-24T20:55:03ZengMDPI AGWater2073-44412017-06-019644110.3390/w9060441w9060441The Design of a Site-Calibrated Parker–Klingeman Gravel Transport ModelPaul D. Bakke0Leonard S. Sklar1David R. Dawdy2Wen C. Wang3US Fish and Wildlife Service, 510 Desmond Dr. SE, Lacey, WA 98503, USADepartment of Earth & Climate Sciences, San Francisco State University, San Francisco, CA 94132, USAConsulting Hydrologist, 3055 23rd Ave., San Francisco, CA 94132, USADepartment of Civil and Environment Engineering, San Jose State University, San Jose, CA 95192, USAThe use of site-calibrated models for predicting bedload transport in gravel-bed rivers remains relatively rare, despite advances in methodology and computing technology, and its notable advantages in terms of predictive accuracy. This article presents a new algorithm for site calibration of the Parker–Klingeman (1982) model, along with a detailed discussion of considerations that influence model selection and calibration methodology. New visualization techniques are explored to demystify the calibration process, using three examples with progressively more challenging calibration conditions. The new method is particularly well suited to streams with high sediment loads, or cases where extrapolation of transport function estimates is necessary.http://www.mdpi.com/2073-4441/9/6/441bedloadsediment transportgravel transportbedload modelsediment transport model
collection DOAJ
language English
format Article
sources DOAJ
author Paul D. Bakke
Leonard S. Sklar
David R. Dawdy
Wen C. Wang
spellingShingle Paul D. Bakke
Leonard S. Sklar
David R. Dawdy
Wen C. Wang
The Design of a Site-Calibrated Parker–Klingeman Gravel Transport Model
Water
bedload
sediment transport
gravel transport
bedload model
sediment transport model
author_facet Paul D. Bakke
Leonard S. Sklar
David R. Dawdy
Wen C. Wang
author_sort Paul D. Bakke
title The Design of a Site-Calibrated Parker–Klingeman Gravel Transport Model
title_short The Design of a Site-Calibrated Parker–Klingeman Gravel Transport Model
title_full The Design of a Site-Calibrated Parker–Klingeman Gravel Transport Model
title_fullStr The Design of a Site-Calibrated Parker–Klingeman Gravel Transport Model
title_full_unstemmed The Design of a Site-Calibrated Parker–Klingeman Gravel Transport Model
title_sort design of a site-calibrated parker–klingeman gravel transport model
publisher MDPI AG
series Water
issn 2073-4441
publishDate 2017-06-01
description The use of site-calibrated models for predicting bedload transport in gravel-bed rivers remains relatively rare, despite advances in methodology and computing technology, and its notable advantages in terms of predictive accuracy. This article presents a new algorithm for site calibration of the Parker–Klingeman (1982) model, along with a detailed discussion of considerations that influence model selection and calibration methodology. New visualization techniques are explored to demystify the calibration process, using three examples with progressively more challenging calibration conditions. The new method is particularly well suited to streams with high sediment loads, or cases where extrapolation of transport function estimates is necessary.
topic bedload
sediment transport
gravel transport
bedload model
sediment transport model
url http://www.mdpi.com/2073-4441/9/6/441
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