%0 Journal Article %A CUI Peng %T Progress and prospects in research on mountain hazards in China %D 2014 %R 10.11820/dlkxjz.2014.02.001 %J PROGRESS IN GEOGRAPHY %P 145-152 %V 33 %N 2 %X In this paper, first, the research progress on fundamental theories on mountain hazards and prevention techniques are briefly reviewed. In the current research, the distribution of mountain hazards has been recognized and the hazards assessment methods for mountain torrents, debris flow and landslides have been established, and the principles and calculations of landslide stability analysis have been developed. In addition, the stress-strain relation of debris flow slurry and the formulae of velocity, discharge and impact of debris flow have been established, and a model of viscous debris flow initiation has also been proposed. We also presented the magnitude amplification effects of mountain torrents and debris flows. Meanwhile, the methods to forecast mountain hazards have been developed by analyzing both rainfall and ground factors. Based on the understanding of the physical characteristics of mountain hazards, a number of monitoring instruments have been invented, and especially the early warning methods have been used in the underdeveloped regions. Furthermore, a systematic technology for coping with mountain hazards has been developed. The topics on the formation, development, forecasting and prevention, protection strategies and risk management of mountain hazards have been proposed for future research. Finally, aiming at the requirements of the reduction of disasters for the nation and the goals of the academic progresses, we propose the topics that are worthy of more attention in the future research, such as the response of mountain hazards to ecology, the effects of climate change on mountain hazards, the prediction of catastrophe, the mesomechanic behaviors of the soil affected by water, the theories and methods of hazard risk assessment, the hazard forecasting model based on the formation mechanisms and the improvement of prediction and recovery technology. %U https://www.progressingeography.com/EN/10.11820/dlkxjz.2014.02.001