toggle visibility Search & Display Options

Select All    Deselect All
 |   | 
Details
   print
  Record Links
Author (up) Pengfei Zhou; Tao Chen; Guofeng Su; Bingxu Hou; Lida Huang pdf  isbn
openurl 
  Title Research on the Forecasting and Risk Analysis Method of Snowmelt Flood Type Conference Article
  Year 2020 Publication ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal Iscram 2020  
  Volume Issue Pages 545-557  
  Keywords Snowmelt Flood, Daily Snowmelt, Snow Water Runoff, Risk Analysis, Forecasting Method.  
  Abstract Risk analysis of snowmelt flood is an urgent demand in cold highland areas. This paper focuses on the method for the rapid and reliable forecast of daily snowmelt, snow water runoff, and snowmelt flood risk. A neural network algorithm is used to calculate snow density distribution, snow depth and snow-water equivalent with the brightness temperature data. Then, daily snowmelt is predicted using the degree-day factor method with the temperature distribution. On this basis, we use the steepest descent method and Manning formula with hydrographic information to simulate snow water runoff. We also propose a method to predict the snowmelt flood risk with the geographic feature and historical flood data. The evaluated risk is compared with monitored data in the Xinjiang Autonomous Region of China, which shows good consistency. At last, we develop a risk analysis system to generate the snowmelt flood risk map and provide risk analysis service.  
  Address Institute of Public Safety Research, Department of Engineering Physics, Tsinghua University; Institute of Public Safety Research, Department of Engineering Physics, Tsinghua University; Institute of Public Safety Research, Department of Engineering Physics, Tsinghua University; Beijing Global Safety Technology Co. Ltd.; Institute of Public Safety Research, Department of Engineering Physics, Tsinghua University  
  Corporate Author Thesis  
  Publisher Virginia Tech Place of Publication Blacksburg, VA (USA) Editor Amanda Hughes; Fiona McNeill; Christopher W. Zobel  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 978-1-949373-27-51 ISBN 2411-3437 Medium  
  Track Planning, Foresight and Risk Analysis Expedition Conference 17th International Conference on Information Systems for Crisis Response and Management  
  Notes zpf18@mails.tsinghua.edu.cn Approved no  
  Call Number Serial 2252  
Share this record to Facebook
Select All    Deselect All
 |   | 
Details
   print

Save Citations:
Export Records: