STUDY ON THE CONVERSION OF DIFFERENT SOILS TEXTURE AND Ks VALUE FOR HYDORLOGICAL MODELLING
STUDY ON THE CONVERSION OF DIFFERENT SOILS TEXTURE AND Ks VALUE FOR HYDORLOGICAL MODELLING
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发表时间：
2008
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通讯作者：
L. Ying
中科院分区：
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作者：
L. Ying
在水和环境管理中使用空间分布的水文模型正变得越来越普遍，虽然这种模型在地球仪范围内都有应用，但参数化所需的数据，特别是土壤数据，往往是在一个不兼容的分类方案中，本文采用三次样条插值方法，将中国土壤质地分类方案转换为中国土壤质地分类方案，国际土壤科学学会（ISSS）的土壤分类方案，该方案适用于多种水文模型，然后利用土壤传递函数（PTF）软件NeuroTheta预测水文模型中的关键参数--土壤饱和导水率Ks值，该方法被证明是一种简便的方法，可用于建立与大多数分布式水文模型输入兼容的土壤数据库。
The use of spatially distributed hydrological models for water and environmental management is becoming increasingly commonplace.Whilst such models have application throughout the globe,the data needed for parameterization,particularly soil data,is often in an incompatible classification scheme,and therefore cannot be directly applied to a model.This research addresses this by using cubic spline interpolation to convert the Chinese Soil Textural Classification Scheme to the International Society of Soil Science(ISSS)classification scheme,one which is suited to many hydrological models.The pedotransfer function(PTF)application NeuroTheta was then used to predict soil saturated hydraulic conductivity Ks value,a key parameter in hydrological models.This methodology proved to be a simple and convenient way for building a soil database compatible with the inputs for the majority of distributed hydrological models.