《孔隙水压力对大型滑坡的影响预测（英文）》通过降雨（雪）数据预测地下水及诱发的相关的滑坡运动来构建一个大型滑坡的预测模块。通过引入内聚力-速度模块，构建了一个新的粘滞模型用来预测和描述滑坡的被地下水控制的准静态运动。为了更好的理解和模拟地下水和孔隙水压力作用于滑坡启动、加速、减速及再次启动，《孔隙水压力对大型滑坡的影响预测（英文）》提供了重要的步骤。这些将有意义地贡献于未来的基于机理模型而非简单阈值的早期预警系统的研究。

　　Groundwater-pressure produced by precipitation plays an important role in determining landslide movements. For any process-related early warning system for hydrologically-induced landslides， the accurate estimation of groundwater-pressure from precipitation information and the related movement is a key component. Until now， the problem of how to predict the pore-pressure and following movement by the precipitation has no satisfactory solution， because of the complex nonlinear hydrogeological and geological system. But using advanced conceptual models and machine learning algorithm， the author of this book has carried out some cases applications to fill the knowledge gap. The book is an integration of research results over the past five years mainly based on the doctor book. The project obtained support from alpEWAS project （im Programm Geotechnologien Federal Ministry of Education and Research， Germany） and Opening Fund of State Key Laboratory of Geohazard Prevention and Geo-environment Protection （Chengdu University of Technology）-SKLGP2013K007， Some of the experimental and theoretical results have been published in major intemational journals， such as Natural Hazards and Earth System Sciences， Bulletin of Engineering Geology and the Environment， and Geofluids. The intemational peer review process for these English language joumals is an additional guarantee of quality.

1 Introduction
1．1 Problem statement and motivation
1．2 Research objectives
1．3 Book outline
1．4 Technical course

2 Literature review
2．1 Ove Niew
2．2 Classification of landslides
2．3 Causes of landslides
2．4 Hydrological controls of deep-seated landslides
2．5 Hydrogeological flow patterns relevant for deep-seated landslides
2．6 Estimating proportions of fluid and solid precipitation and snowmelt
2．6．1 Thresholds for fluid and solid precipitation
2．6．2 Temperature-index and energy-index snowmelt models
2．7 Estimating infiltration and groundwater fluctuations in hill slopes
2．7．1 Deternunistic physical models
2．7．2 Empirical-statistical models
2．8 Modelling quasi-static landslide movements （slope movement with complete sliding surface）

3 A modified tank model including snowmelt and infiltration time lags for deep-seated landslides
3．1 Introduction
3．2 Site descriptions
3．2．1 Geographical setting and geological overview
3．2．2 Tectonic overview and setting of the study site
3．2．3 Climatic conditions
3．2．4 Monitoring system and monitoring data
3．2．5 Historic events
3．3 Methods
3．3．1 The modified tank model including snowmelt and infiltration
3．3．2 Simpler approximations of slope hydrology
3．3．3 Determining the parameter of PWP calculation in the modified tank model
3．3．4 Snowmelt calculations in the modified tank model
3．4 Results
3．4．1 Performance of modified tank model in heavy rainfall season
3．4．2 Performance of modified tank model in snowmelt season
3．4．3 Performance of modified tank model throughout the monitoring period and error analysis
3．5 Discussions
3．5．1 Performance of modified tank model in heavy rainfall season
3．5．2 Performance of modified tank model in snowmelt season
3．5．3 Highlights of the modified model
3．5．4 Drawbacks and limitations
3．6 Conclusions
……

4 Physical tank experiments on groundwater level controls of slopes with homogenous materials
5 Physical tank experiments for estimation of groundwater considering slope structure controlling affection
6 Prediction of groundwater affecting deep-seated landslide quasi-static movement
7 Conclusion

References
Appendix