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Application of SWAT for sediment yield estimation in a mountainous agricultural basin

Duan, Zheng LU and Song, Xianfeng (2009) 2009 17th International Conference on Geoinformatics, Geoinformatics 2009 In 2009 17th International Conference on Geoinformatics, Geoinformatics 2009
Abstract

The advanced SWAT (Soil and Water Assessment Tool) model is based on hydrologic process and needs to be calibrated and validated prior to application. This paper presents a case study conducted in Chaohe river upstream to verify the applicability of SWAT for predicting sediment yields in a semi-arid mountainous basin. Utilizing the gage records, the SWAT was deeply explored in the study area. The monthly measured runoff and sediment yields at Dage gage during the period 1985-1987 was used to calibrate the model while data from 1988 to 1990 was used for model validation. First, runoff calibration and validation were performed, and the resulted monthly Nash-Sutcliffe efficiency coefficient (ENS) and R2 were 0.81 and... (More)

The advanced SWAT (Soil and Water Assessment Tool) model is based on hydrologic process and needs to be calibrated and validated prior to application. This paper presents a case study conducted in Chaohe river upstream to verify the applicability of SWAT for predicting sediment yields in a semi-arid mountainous basin. Utilizing the gage records, the SWAT was deeply explored in the study area. The monthly measured runoff and sediment yields at Dage gage during the period 1985-1987 was used to calibrate the model while data from 1988 to 1990 was used for model validation. First, runoff calibration and validation were performed, and the resulted monthly Nash-Sutcliffe efficiency coefficient (ENS) and R2 were 0.81 and 0.93 for calibration period, respectively, 0.51 and 0.78 for validation period. Then, the sediment calibration and validation were carried out, and the ENS and R2 for calibration and validation were both above 0.70 and 0.75, respectively. Finally, based on the annual sediment yields estimated by the calibrated model, the annual soil loads map was generated and the critical soil loss subbasins dominated by agricultural land were identified. This study revealed that the SWAT could be applied in a rugged mountainous region for erosion control and watershed management.

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Please use this url to cite or link to this publication:
author
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publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Calibration, Chaohe river upstream, Sediment yield, Swat, Validation
host publication
2009 17th International Conference on Geoinformatics, Geoinformatics 2009
series title
2009 17th International Conference on Geoinformatics, Geoinformatics 2009
article number
5293447
conference name
2009 17th International Conference on Geoinformatics, Geoinformatics 2009
conference location
Fairfax, VA, United States
conference dates
2009-08-12 - 2009-08-14
external identifiers
  • scopus:74349126017
ISBN
9781424445639
DOI
10.1109/GEOINFORMATICS.2009.5293447
language
English
LU publication?
no
id
5ba8dc74-e60e-4845-bf9f-e18dbe7a7d20
date added to LUP
2019-12-22 20:39:45
date last changed
2022-04-18 19:54:31
@inproceedings{5ba8dc74-e60e-4845-bf9f-e18dbe7a7d20,
  abstract     = {{<p>The advanced SWAT (Soil and Water Assessment Tool) model is based on hydrologic process and needs to be calibrated and validated prior to application. This paper presents a case study conducted in Chaohe river upstream to verify the applicability of SWAT for predicting sediment yields in a semi-arid mountainous basin. Utilizing the gage records, the SWAT was deeply explored in the study area. The monthly measured runoff and sediment yields at Dage gage during the period 1985-1987 was used to calibrate the model while data from 1988 to 1990 was used for model validation. First, runoff calibration and validation were performed, and the resulted monthly Nash-Sutcliffe efficiency coefficient (E<sub>NS</sub>) and R<sup>2</sup> were 0.81 and 0.93 for calibration period, respectively, 0.51 and 0.78 for validation period. Then, the sediment calibration and validation were carried out, and the E<sub>NS</sub> and R<sup>2</sup> for calibration and validation were both above 0.70 and 0.75, respectively. Finally, based on the annual sediment yields estimated by the calibrated model, the annual soil loads map was generated and the critical soil loss subbasins dominated by agricultural land were identified. This study revealed that the SWAT could be applied in a rugged mountainous region for erosion control and watershed management.</p>}},
  author       = {{Duan, Zheng and Song, Xianfeng}},
  booktitle    = {{2009 17th International Conference on Geoinformatics, Geoinformatics 2009}},
  isbn         = {{9781424445639}},
  keywords     = {{Calibration; Chaohe river upstream; Sediment yield; Swat; Validation}},
  language     = {{eng}},
  month        = {{12}},
  series       = {{2009 17th International Conference on Geoinformatics, Geoinformatics 2009}},
  title        = {{Application of SWAT for sediment yield estimation in a mountainous agricultural basin}},
  url          = {{http://dx.doi.org/10.1109/GEOINFORMATICS.2009.5293447}},
  doi          = {{10.1109/GEOINFORMATICS.2009.5293447}},
  year         = {{2009}},
}