利用国际上具有代表性的9种土壤饱和导水率（K_s）传递函数模型估算了横断山地区贡嘎山不同类型森林土壤的K_s，并与实测数据进行了比较，结果表明，现有模型在横断山地区的拟合结果与实测数据的偏差极大，其在研究区的适用性差。结合研究区土壤含石率偏高的特点，增加土壤石砾含量（粒径>2 mm）作为输入变量，同时选取土壤容重、有机质含量和颗粒分布3种土壤基本特性参数作为输入变量，构建了本区域K_s传递函数模型：K_s=9.48+12.32×BD+0.29×SOM – 1.94×GF+2.89×silt – 5.34×sand，结果显示，模型预测值与实测值相关系数为0.67，该模型可以作为横断山地区自然林地K_s传递函数使用，从而为山地森林水文过程和自然灾害预警研究提供实用的参数估算工具。

Nine classical pedo-transfer functions (PTFs) of soil saturated hydraulic conductivity(K_s) were used to estimate K_s of soils under different forests types in the Hengduan Mountains region. The results show that the estimated K_s by these PTFs deviate greatly from the measured data, indicating that current PTFs models are not applicable to the soils in the Hengduan Mountains. Considering the enrichment of soil gravels in study area, a new pedo-transfer function of K_sis established which containing soil gravel content (>2 mm, GF), bulk density (BD), organic matter content (SOM), and particle size distribution: K_s=9.48 + 12.32×BD + 0.29×SOM-1.94×GF + 2.89×silt-5.34×sand. The new pedo-transfer function can better predict K_s of forest soils in studied area with the correlation coefficient up to 0.67, which provides a crucial parameter estimation tool for studies on forest hydrological processes and natural hazards in mountainous areas.

S152.7

第二次青藏高原综合科学考察研究项目（2019QZKK0903）、中国科学院战略性先导科技专项（A类）（XDA23090202）和国家自然科学基金重大项目（41790431）资助。