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A Regional-Scale Method of Forecasting Debris Flow Events Based on Water-Soil Coupling Mechanism

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【作者】 ZHANG Shao-jieWEI Fang-qiangLIU Dun-longYANG Hong-juanJIANG Yu-hong

【Author】 ZHANG Shao-jie;WEI Fang-qiang;LIU Dun-long;YANG Hong-juan;JIANG Yu-hong;Key Laboratory of Mountain Hazards and Earth Surface Process, Chinese Academy of Sciences;Institute of Mountain Hazards and Environment, Chinese Academy of Sciences;

【机构】 Key Laboratory of Mountain Hazards and Earth Surface Process, Chinese Academy of SciencesInstitute of Mountain Hazards and Environment, Chinese Academy of Sciences

【摘要】 A debris flow forecast model based on a water-soil coupling mechanism that takes the debrisflow watershed as a basic forecast unit was established here for the prediction of disasters at the watershed scale.This was achieved through advances in our understanding of the formation mechanism of debris flow.To expand the applicable spatial scale of this forecasting model,a method of identifying potential debris flow watersheds was used to locate areas vulnerable to debris flow within a forecast region.Using these watersheds as forecasting units and a prediction method based on the water-soil coupling mechanism,a new forecasting method of debris flow at the regional scale was established.In order to test the prediction ability of this new forecasting method,the Sichuan province,China was selected as a study zone and the large-scale debris flow disasters attributable to heavy rainfall in this region on July 9,2013 were taken as the study case.According to debris flow disaster data on July 9,2013 which were provided by the geo-environmental monitoring station of Sichuan province,there were 252 watersheds in which debris flow events actually occurred.The current model predicted that 265 watersheds were likely to experience a debris flow event.Among these,43 towns including 204 debrisflow watersheds were successfully forecasted and 24 towns including 48 watersheds failed.The false prediction rate and failure prediction rate of thisforecast model were 23% and 19%,respectively.The results show that this method is more accurate and more applicable than traditional methods.

【Abstract】 A debris flow forecast model based on a water-soil coupling mechanism that takes the debrisflow watershed as a basic forecast unit was established here for the prediction of disasters at the watershed scale.This was achieved through advances in our understanding of the formation mechanism of debris flow.To expand the applicable spatial scale of this forecasting model,a method of identifying potential debris flow watersheds was used to locate areas vulnerable to debris flow within a forecast region.Using these watersheds as forecasting units and a prediction method based on the water-soil coupling mechanism,a new forecasting method of debris flow at the regional scale was established.In order to test the prediction ability of this new forecasting method,the Sichuan province,China was selected as a study zone and the large-scale debris flow disasters attributable to heavy rainfall in this region on July 9,2013 were taken as the study case.According to debris flow disaster data on July 9,2013 which were provided by the geo-environmental monitoring station of Sichuan province,there were 252 watersheds in which debris flow events actually occurred.The current model predicted that 265 watersheds were likely to experience a debris flow event.Among these,43 towns including 204 debrisflow watersheds were successfully forecasted and 24 towns including 48 watersheds failed.The false prediction rate and failure prediction rate of thisforecast model were 23% and 19%,respectively.The results show that this method is more accurate and more applicable than traditional methods.

【基金】 supported by the foundation of the Research Fund for Commonweal Trades (Meteorology) (Grant No. GYHY201006039);the International Cooperation Project of the Department of Science and Technology of Sichuan Province (Grant No. 2009HH0005)
  • 【文献出处】 Journal of Mountain Science ,Journal of Mountain Science 山地科学学报(英文版) , 编辑部邮箱 ,2014年06期
  • 【分类号】P642.23
  • 【被引频次】3
  • 【下载频次】34
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