Predicting location and length of ephemeral gullies with a process-based Topographic Index model
Ephemeral gully (EG) erosion can be a major source of sediment in agricultural watersheds and predicting the location and length of EGs is important to assess sediment source areas. Topographic index (TI) models utilize topographic-only factors to locate concentrated flow paths on agricultural field...
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2015-03-01
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Series: | Proceedings of the International Association of Hydrological Sciences |
Online Access: | https://www.proc-iahs.net/367/93/2015/piahs-367-93-2015.pdf |
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doaj-77932ad581df4afdb403eb841866393a2020-11-24T21:03:05ZengCopernicus PublicationsProceedings of the International Association of Hydrological Sciences2199-89812199-899X2015-03-01367939810.5194/piahs-367-93-2015Predicting location and length of ephemeral gullies with a process-based Topographic Index modelA. Y. Sheshukov0Department of Biological and Agricultural Engineering, Kansas State University, 129 Seaton Hall, Manhattan, Kansas, USAEphemeral gully (EG) erosion can be a major source of sediment in agricultural watersheds and predicting the location and length of EGs is important to assess sediment source areas. Topographic index (TI) models utilize topographic-only factors to locate concentrated flow paths on agricultural fields. In this paper, the TI-model is expanded by incorporating an overland flow equation that describes surface excess rate, roughness, and soil critical shear stress. An un-calibrated Process-Based (PB) topographic index model was applied to an agricultural watershed in Central Kansas and the results were compared with a calibrated Slope-Area (SA) model. The analysis showed that the PB model slightly over-predicted topographic properties of ephemeral gullies compared to the observed data. Accuracy of the SA model depended on the selected threshold value.https://www.proc-iahs.net/367/93/2015/piahs-367-93-2015.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
A. Y. Sheshukov |
spellingShingle |
A. Y. Sheshukov Predicting location and length of ephemeral gullies with a process-based Topographic Index model Proceedings of the International Association of Hydrological Sciences |
author_facet |
A. Y. Sheshukov |
author_sort |
A. Y. Sheshukov |
title |
Predicting location and length of ephemeral gullies with a process-based Topographic Index model |
title_short |
Predicting location and length of ephemeral gullies with a process-based Topographic Index model |
title_full |
Predicting location and length of ephemeral gullies with a process-based Topographic Index model |
title_fullStr |
Predicting location and length of ephemeral gullies with a process-based Topographic Index model |
title_full_unstemmed |
Predicting location and length of ephemeral gullies with a process-based Topographic Index model |
title_sort |
predicting location and length of ephemeral gullies with a process-based topographic index model |
publisher |
Copernicus Publications |
series |
Proceedings of the International Association of Hydrological Sciences |
issn |
2199-8981 2199-899X |
publishDate |
2015-03-01 |
description |
Ephemeral gully (EG) erosion can be a major source of sediment in agricultural watersheds and predicting the location and length of EGs is important to assess sediment source areas. Topographic index (TI) models utilize topographic-only factors to locate concentrated flow paths on agricultural fields. In this paper, the TI-model is expanded by incorporating an overland flow equation that describes surface excess rate, roughness, and soil critical shear stress. An un-calibrated Process-Based (PB) topographic index model was applied to an agricultural watershed in Central Kansas and the results were compared with a calibrated Slope-Area (SA) model. The analysis showed that the PB model slightly over-predicted topographic properties of ephemeral gullies compared to the observed data. Accuracy of the SA model depended on the selected threshold value. |
url |
https://www.proc-iahs.net/367/93/2015/piahs-367-93-2015.pdf |
work_keys_str_mv |
AT aysheshukov predictinglocationandlengthofephemeralgullieswithaprocessbasedtopographicindexmodel |
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1716774175424643072 |