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Discussion papers
https://doi.org/10.5194/se-2018-43
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/se-2018-43
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 31 May 2018

Research article | 31 May 2018

Review status
This discussion paper is a preprint. A revision of this manuscript was accepted for the journal Solid Earth (SE) and is expected to appear here in due course.

Soil erodibility estimation by using five methods of estimating K value: A case study in Ansai watershed of Loess Plateau, China

Wenwu Zhao1,2, Hui Wei1,2, Lizhi Jia1,2, Stefani Daryanto1,2, and Yanxu Liu1,2 Wenwu Zhao et al.
  • 1State Key Laboratory of Earth Surface Processes and Resources Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
  • 2Institute of Land Surface System and Sustainable Development, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

Abstract. The objectives of this work were to select the possible best texture-based method to estimate K and understand possible indirect environmental factors of soil erodibility. In this study, 151 soil samples were collected during soil surveys in Ansai watershed. Five methods of estimating K value were used to estimate soil erodibility, including the erosion-productivity impact model (EPIC), the nomograph equation (NOMO), the modified nomograph equation (M-NOMO), the Torri model and the Shirazi model. The K values in Ansai watershed ranged between 0.009 and 0.092thm2hr/(MJmmhm2). The K values based on Torri, NOMO, and Shirazi models were similar and were located close to each other in the Taylor diagrams. By combining the measured soil erodibility, we suggested Shirazi and Torri model as the optimal models for Ansai watershed. The correlations between soil erodibility and the selected environmental variables changed for different vegetation type. For native grasslands, soil erodibility had significant correlations with terrain factors. For most artificially managed vegetation types (e.g., apple orchards) and artificially restored vegetation types (e.g., sea buckthorn), the soil erodibility had significant correlations with the growing conditions of vegetation. The dominant factors that influenced soil erodibility differed with different vegetation types. Soil erodibility had indirect relationship with not only environmental factors (e.g., elevation and slope), but also human activities which potentially altered soil erodibility.

Wenwu Zhao et al.
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Interactive discussion
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
Wenwu Zhao et al.
Wenwu Zhao et al.
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Short summary
Soil erodibility (K) is one of the key factors of soil erosion. Selecting the optimal estimation method of soil erodibility is critical to estimate the amount of soil erosion, and provide the base for sustainable land management. This research, took Loess Plateau of China as a case study, estimated soil erodibility factor with different methods, selected the possible best texture-based method to estimate K, and to understand possible indirect environmental factors on soil erodibility.
Soil erodibility (K) is one of the key factors of soil erosion. Selecting the optimal estimation...
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