Development, implementation and validation of Sediment Transport and Erosion Prediction (STEP) model

Yanto; Muhammad Dimyati

doi:10.1016/j.envsoft.2023.105686

Development, implementation and validation of Sediment Transport and Erosion Prediction (STEP) model

Yanto, Muhammad Dimyati

Department of Geosciences

Research output: Contribution to journal › Article › peer-review

Abstract

The Sediment Transport and Erosion Prediction (STEP) model is methodically described in this paper. The STEP model was implemented at a 3.47 km × 3.47 km grid resolution in the Kalisapi sub-watershed, Central Java, Indonesia. It was calibrated and validated in the period of 2003–2008 and 2010–2014 respectively. The result shows that the STEP model functions satisfactorily at monthly and annual time window in the calibration and validation periods. In both periods, the STEP model is able to produce fruitful annual sediment transport rates with R² values of 0.71 and 0.9 in the calibration and validation period respectively. Moreover, the STEP model exhibits more equitable spatial variability than that of the widely known USLE model. Correspondingly, it can be surmised that the STEP model is capable of simulating spatial and temporal variability of sediment transport from a watershed at monthly and annual time scales.

Original language	English
Article number	105686
Journal	Environmental Modelling and Software
Volume	164
DOIs	https://doi.org/10.1016/j.envsoft.2023.105686
Publication status	Published - Jun 2023

Keywords

Distributed model
Physical model
Sediment transport
Soil erosion

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10.1016/j.envsoft.2023.105686

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title = "Development, implementation and validation of Sediment Transport and Erosion Prediction (STEP) model",

abstract = "The Sediment Transport and Erosion Prediction (STEP) model is methodically described in this paper. The STEP model was implemented at a 3.47 km × 3.47 km grid resolution in the Kalisapi sub-watershed, Central Java, Indonesia. It was calibrated and validated in the period of 2003–2008 and 2010–2014 respectively. The result shows that the STEP model functions satisfactorily at monthly and annual time window in the calibration and validation periods. In both periods, the STEP model is able to produce fruitful annual sediment transport rates with R2 values of 0.71 and 0.9 in the calibration and validation period respectively. Moreover, the STEP model exhibits more equitable spatial variability than that of the widely known USLE model. Correspondingly, it can be surmised that the STEP model is capable of simulating spatial and temporal variability of sediment transport from a watershed at monthly and annual time scales.",

keywords = "Distributed model, Physical model, Sediment transport, Soil erosion",

author = "Yanto and Muhammad Dimyati",

note = "Funding Information: This study is partially funded by the University of Jenderal Soedirman, Purwokerto , Indonesia for the collection of field observation data. Publisher Copyright: {\textcopyright} 2023",

year = "2023",

month = jun,

doi = "10.1016/j.envsoft.2023.105686",

language = "English",

volume = "164",

journal = "Environmental Modelling and Software",

issn = "1364-8152",

publisher = "Elsevier BV",

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AU - Yanto,

AU - Dimyati, Muhammad

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N2 - The Sediment Transport and Erosion Prediction (STEP) model is methodically described in this paper. The STEP model was implemented at a 3.47 km × 3.47 km grid resolution in the Kalisapi sub-watershed, Central Java, Indonesia. It was calibrated and validated in the period of 2003–2008 and 2010–2014 respectively. The result shows that the STEP model functions satisfactorily at monthly and annual time window in the calibration and validation periods. In both periods, the STEP model is able to produce fruitful annual sediment transport rates with R2 values of 0.71 and 0.9 in the calibration and validation period respectively. Moreover, the STEP model exhibits more equitable spatial variability than that of the widely known USLE model. Correspondingly, it can be surmised that the STEP model is capable of simulating spatial and temporal variability of sediment transport from a watershed at monthly and annual time scales.

AB - The Sediment Transport and Erosion Prediction (STEP) model is methodically described in this paper. The STEP model was implemented at a 3.47 km × 3.47 km grid resolution in the Kalisapi sub-watershed, Central Java, Indonesia. It was calibrated and validated in the period of 2003–2008 and 2010–2014 respectively. The result shows that the STEP model functions satisfactorily at monthly and annual time window in the calibration and validation periods. In both periods, the STEP model is able to produce fruitful annual sediment transport rates with R2 values of 0.71 and 0.9 in the calibration and validation period respectively. Moreover, the STEP model exhibits more equitable spatial variability than that of the widely known USLE model. Correspondingly, it can be surmised that the STEP model is capable of simulating spatial and temporal variability of sediment transport from a watershed at monthly and annual time scales.

KW - Distributed model

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KW - Sediment transport

KW - Soil erosion

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Development, implementation and validation of Sediment Transport and Erosion Prediction (STEP) model

Abstract

Keywords

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