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作 者:陈一兵[1] 林超文[1] Dr.J.Reijnders Ing.J.Stolte
机构地区:[1]四川省农业科学院土壤肥料研究所,四川成都610066 [2]Department of Soil and Land Use,Alterra Green World Research,Wageningen 6708 PB,The Netherlands
出 处:《西南农业学报》2007年第4期669-675,共7页Southwest China Journal of Agricultural Sciences
基 金:欧盟水土保持项目EroChiNut
摘 要:该研究是在欧盟项目EroChiNut框架内实施,其目的是在研究区域内对LISEM土壤侵蚀模型进行验证。研究采用1次小雨和3次中雨共4次降雨过程,并将结果与1次大雨的校定结果相比较。验证结果显示在降雨初期对流量估算过高,而在降雨结束时期又过低。其原因可能是LISEM直接反应于雨强,而测定的流量则滞后。看来小流域犹如一个自然缓冲器,使第一次径流高峰滞后。造成测定和模拟峰值不吻合的另一原因可能是土壤导水率和水压的时空变异性。研究还采用了小雨对LISEM进行验证,如实测值一样,模拟的流量也很小。结果显示在用小雨进行研究时,应考虑量水槽的误差范围。在EroChiNut项目中,其误差范围可以高达6 mm(12 l/s)。同时,量水槽中泥沙淤积问题也是造成测值不准的原因。总的来说如果用相近的降雨过程对LISEM进行校定,其验证结果应更好一些。在该项研究中,如果用中等降雨过程对LISEM进行校定,应该提高验证的准确度。This study is carried out within the framework of the EroChiNut project. The objective of this study is to validate LISEM ( Limburg Soil Erosion Model) for the project area. LISEM is validated for 4 rainstorms, 1 low intensive rainstorm and 3 medium intensive rainstorms compared to the high intensive calibration storm. Validated rainstorms repeatedly overestimate discharge in the beginning of the storm and underestimate discharge at the end of the storm. There are several reasons for this. The first reason is that LISEM reacts direct on rainfall intensity while measured discharge is delayed. The catchment seems to have a natural buffer which lowers the first peak and delays it. Another reason for the differences in measured and modelled peaks can be spatial and temporal variability of the soil hydraulic conductivity and initial pressure head. LISEM is also validated for a low intensive rainstorm. Modelled discharge values are low,just llke measured values. What has to be taken under consideration for low intensive rainstorms is that measurements can fall within the measurement uncertainty of the flume. In the EroChiNut project the uncertainty can be up to 6 mm( 12 l/s) what covers the measurements. With low intensive rainstorms the problem of sedimentation in the flume,giving unrealistic values is also bigger. It can be concluded that validation results are expected to be better when LISEM is calibrated for a rainstorm in the same category. In this study the results probably would have been better when LISEM is also calibrated for a medium-intensive rainstorm.
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