Technical Notes
Oct 17, 2014

Soil Erosion and Sediment-Yield Prediction at Basin Scale in Upstream Watershed of Miyun Reservoir

Publication: Journal of Hydrologic Engineering
Volume 20, Issue 6

Abstract

Appropriate methodologies for predicting erosion and sediment yield at the basin scale are of utmost importance for taking proper measures to reduce reservoir sedimentation and protect water resources. In this study, a new site-specific distributed and objective model, which was designed based on the spatially distributed scoring model (SPADS), was developed for the upstream watershed of the Miyun Reservoir (UWMR) in China. The model describes the relationships between watershed characteristics and sediment yields. The results show that vegetation, lithology, and inverse distance to the river were the main controlling factors of the specific sediment yield variation in the UWMR. On the basis of these results, a site-specific erosion and sediment yield index (ESYI) was established for erosion and sediment yield predictions at the basin scale. The ESYI-based sediment yield prediction accuracy (R2=0.62, relative root meansquareerror=44.7%) was found to be significantly lower than that from SPADS. However, because the proposed model is advantageous in terms of its low data requirements, and because it takes into consideration spatially distributed characteristics, comprehensive erosion types (sheet, rill, gully, and bank), and both on-site and off-site erosion effects, it may still be of great use in the UWMR.

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Acknowledgments

This work was supported by the National Natural Science Foundation of China (Grant No. 41101399). The author would like to thank the anonymous reviewers for providing valuable comments on this work.

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Go to Journal of Hydrologic Engineering
Journal of Hydrologic Engineering
Volume 20Issue 6June 2015

History

Received: Mar 11, 2014
Accepted: Sep 8, 2014
Published online: Oct 17, 2014
Discussion open until: Mar 17, 2015
Published in print: Jun 1, 2015

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Authors

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Xiaosong Li [email protected]
Associate Professor, Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China (corresponding author). E-mail: [email protected]; [email protected]
Research Assistant, Institute of Photogrammetry and Remote Sensing, Chinese Academy of Surveying and Mapping, Beijing 100830, China. E-mail: [email protected]
Professor, Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China. E-mail: [email protected]
Bingfang Wu [email protected]
Professor, Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China. E-mail: [email protected]

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