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作 者:刘旦旦 刘亚 夏小林 刘刚[3,4] Liu Dandan;Liu Ya;Xia Xiaolin;Liu Gang(Anhui Province Key Laboratory of Water Conservancy and Water Resources,Bengbu,Anhui 233000,China;Water Resources Research Institute of Anhui Province and Huaihe River Commission,Ministry of Water Resources,Hefei 230088,China;College of Soil and Water Conservation Science and Engineering/Institute of Soil and Water Conservation,Northwest A&F University,Yangling,Shaanxi 712100,China;Institute of Soil and Water Conservation CAS&MWR,Yangling,Shaanxi 712100,China)
机构地区:[1]水利水资源安徽省重点实验室,安徽蚌埠233000 [2]安徽省(水利部淮河水利委员会)水利科学研究院(安徽省水利工程质量检测中心站),合肥230088 [3]西北农林科技大学水土保持科学与工程学院(水土保持研究所),陕西杨凌712100 [4]中国科学院水利部水土保持研究所,陕西杨凌712100
出 处:《水土保持研究》2024年第5期148-154,共7页Research of Soil and Water Conservation
基 金: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)。
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·hm^(2)·h)/(hm^(2)·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K_(Torri)>K_(Nomo)>K_(M-Nomo)>K_(DG)>K_(Epic)。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。[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·hm^(2)·h)/(hm^(2)·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:K_(Torri)>K_(Nomo)>K_(M-Nomo)>K_(DG)>K_(Epic).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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