基于不透水层的兰州市黄土滑坡渗水模型研究

Study on Seepage Model of Loess Landslide in Lanzhou Based on Impervious Layer

为了解决传统降雨入渗模型未有效顾及人为因素及降雨入渗机理等问题,首次将不透水层数据引入渗水能力模型,提出了一种改进的针对黄土滑坡的降雨入渗模型.首先,通过分层假设入渗模型改进了传统模型;其次,通过2016年兰州市landsat8遥感影像提取了研究区的不透水层数据;最后,通过两者的耦合计算,去除了城市建设引起的地质表面条件改变对渗水能力的影响,得到更加符合实际应用的渗水能力计算模型.研究结果表明,该模型可以较好地弥补传统模型在计算渗水能力时无法排除人为因素干扰的缺陷,提高了模型精度,使模型更符合滑坡预测的应用.

In order to solve the problem that the traditional rainfall infiltration model does not effectively take the human factors and rainfall infiltration mechanism into account,introduced the impervious layer data into the seepage capacity model for the first time,and proposes an improved rainfall infiltration model for loess landslide.Firstly,improves the traditional model through the layered hypothesis infiltration model.Secondly,the impermeable layer data of the study area is extracted by the landsat8 remote sensing image of Lanzhou in 2016.Finally,the influence of geological surface condition changes on water seepage capacity was eliminated by the coupling calculation of improved rainfall infiltration model and impervious layer data,then a model which is more suitable for practical application of water seepage capacity calculation is obtained.The research results show that the model can better compensate the defects that the traditional model cannot exclude the interference of human factors when calculating the water seepage capacity,so that to improve the accuracy of the model,and make the model more suitable for the application of landslide prediction.