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]
安徽省重点水土流失区土壤可蚀性K值评估与修正
- Title:
- Evaluation and Correction of Soil Erodibility K Value in the Key Soil Loss Areas of Anhui Province
- 文章编号:
- 1005-3409(2024)05-0148-07
- Keywords:
- soil and water loss; soil erodibility; runoff plot; Anhui Province
- 分类号:
- S157
- 文献标志码:
- A
- 摘要:
- [目的]评估不同土壤可蚀性K值计算方法在安徽省重点水土流失区的有效性,并基于实测可蚀性K值校正各计算方法。[方法]应用Nomo方程、修正Nomo方程、EPIC模型、DG模型及Torri模型估算各径流小区土壤可蚀性K值,并基于霍山县、广德县、岳西县及歙县四地的径流小区监测资料,获取真实土壤可蚀性K值,以评估各方法的有效性。[结果]霍山县、广德县、岳西县及歙县土壤可蚀性K值分别为0.033～0.035,0.018,0.021,0.041(t·hm2·h)/(hm2·MJ·mm)。不同方法计算的土壤可蚀性K值差异较大且都远远高估了实测值,整体表现为KTorri>KNomo>KM-Nomo>KDG>KEpic。校正后的各可蚀性K值计算方法较之前均有很大改进,其中校正后的Nomo方程及修正Nomo方程具有较高的性能。[结论]校正后的Nomo方程及修正Nomo方程被推荐在安徽省重点水土流失区使用。
- Abstract:
- [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.
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备注/Memo
收稿日期:2023-12-17 修回日期:2024-01-25
资助项目:安徽省自然科学基金水科学联合资助项目(2308085US14); 水利水资源安徽省重点实验室开放研究资助项目(2023SKJ03); 安徽省(水利部淮河水利委员会)水利科学研究院青年科技创新计划项目(KY202102、KY202304)
第一作者:刘旦旦(1987—),女,甘肃省天水人,硕士,工程师,主要从事水土保持与水生态方面的研究。E-mail:378125135@qq.com
通信作者:刘刚(1982—),男,陕西西安人,博士,研究员,主要从事土壤侵蚀与水土保持方面的研究。E-mail:gliu@foxmail.com