| Cite this article: | 王旭,朱金凤,STRAUSS Peter,等.土壤性质相似性对土壤转换函数模拟性能及不确定性的影响[J].灌溉排水学报,0,():-. |
| WangXu,ZhuJinfeng,STRAUSS Peter,et al.土壤性质相似性对土壤转换函数模拟性能及不确定性的影响[J].灌溉排水学报,0,():-. |
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| DOI： |
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| Impact of Soil Properties Similarity on Simulation Performance and Uncertainty |
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WangXu1, ZhuJinfeng1, STRAUSS Peter2, ZhangHao1, WangShengping1
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1.North China Electric Power University;2.Federal Agency for Water Management,Institute for Land and Water Management Research
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| Abstract: |
| In order to explore the impact of soil properties dissimilarity on the uncertainty of PTFs, and to identify the main sources of uncertainty of PTFs, used field capacity water content (θ-300) and wilting point water content (θ-15000) as the research object, based on the data set of different properties (similar or dissimilar dataset) to analyze the uncertainty of the PTFs.And used MAE, ME and SDE indicators to quantify the model simulation performance; This study used the Latin Hypercube Sampling and Bootstrap methods to analyze the sources of uncertainty. The results showed that, regardless of θ-300 or θ-15000, the simulation performance of PTFs model based on similar data sets is improved, but it is not obvious. From the main sources of uncertainty, for θ-300, whether based on similar or dissimilar datasets, the uncertainty caused by input uncertainty was more important; but for θ-15000, the impact of parameter uncertainty is relatively larger than the input uncertainty. The main reason is that θ-15000 data set tends to have smaller spatial variability characteristics. We emphasized that when developing PTFs for predicting field capacity water content, it would be helpful to reduce modeling uncertainty by using similar soil samples only. While it might be worth putting much effort to model calibration and model construction when developing PTFs for predicting wilting point water content. |
| Key words: PTFs；similarity；uncertainty；LHS；Bootstrap |
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