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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2017-06-01
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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 |
work_keys_str_mv |
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_version_ |
1716792762624376832 |