[1]Liu Dandan,Liu Ya,Xia Xiaolin,et al.Evaluation and Correction of Soil Erodibility K Value in the Key Soil Loss Areas of Anhui Province[J].Research of Soil and Water Conservation,2024,31(05):148-154.[doi:10.13869/j.cnki.rswc.2024.05.044]
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Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
31
Number of periods:
2024 05
Page number:
148-154
Column:
Public date:
2024-08-10
- Title:
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Evaluation and Correction of Soil Erodibility K Value in the Key Soil Loss Areas of Anhui Province
- Author(s):
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Liu Dandan1,2, Liu Ya3, Xia Xiaolin1,2, Liu Gang3,4
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(1.Anhui Province Key Laboratory of Water Conservancy and Water Resources, Bengbu, Anhui 233000, China; 2.Water Resources Research Institute of Anhui Province and Huaihe River Commission, Ministry of Water Resources, Hefei 230088, China; 3.College of Soil and Water Conservation Science and Engineering /Institute of Soil and Water Conservation, Northwest A&F University, Yangling, Shaanxi 712100, China; 4.Institute of Soil and Water Conservation CAS & MWR, Yangling, Shaanxi 712100, China)
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- Keywords:
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soil and water loss; soil erodibility; runoff plot; Anhui Province
- CLC:
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S157
- DOI:
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10.13869/j.cnki.rswc.2024.05.044
- Abstract:
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[Objective]The aims of this study are to assess the accuracy of soil erodibility K calculated by different methods in the key soil loss areas of Anhui Province, and to refine each calculation method based on the measured erodibility K. [Methods]The Nomo equation, modified Nomo equation, EPIC model, DG model and Torri model were utilized to estimate the soil erodibility K values. Based on monitoring data from runoff plots in Huoshan County, Guangde County, Yuexi County and She County, the actual erodibility factor K values were obtained to evaluate the effectiveness of each method. [Results]The soil erodibility K values in Huoshan County, Guangde County, Yuexi County and She County were 0.033~0.035, 0.018, 0.021 and 0.041(t·hm2·h)/(hm2·MJ·mm), respectively. The differences in soil erodibility K values derived from different methods were significant, with all methods greatly overestimating the K values. The overall ranking of the methods in terms of soil erodibility followed the order:KTorri>KNomo>KM-Nomo>KDG>KEpic. The methods of calculating K values for each were improved, in which the improved Nomo equation and the modified Nomo equation showed superior performance. [Conclusion]The improved Nomo equation and modified Nomo equation are recommended to apply in the key soil loss areas of Anhui Province.