Articles | Volume 20, issue 5
https://doi.org/10.5194/nhess-20-1287-2020
https://doi.org/10.5194/nhess-20-1287-2020
Research article
 | 
14 May 2020
Research article |  | 14 May 2020

Classification and susceptibility assessment of debris flow based on a semi-quantitative method combination of the fuzzy C-means algorithm, factor analysis and efficacy coefficient

Zhu Liang, Changming Wang, Songling Han, Kaleem Ullah Jan Khan, and Yiao Liu

Viewed

Total article views: 2,301 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,611 630 60 2,301 41 40
  • HTML: 1,611
  • PDF: 630
  • XML: 60
  • Total: 2,301
  • BibTeX: 41
  • EndNote: 40
Views and downloads (calculated since 30 Jan 2020)
Cumulative views and downloads (calculated since 30 Jan 2020)

Viewed (geographical distribution)

Total article views: 2,301 (including HTML, PDF, and XML) Thereof 1,978 with geography defined and 323 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 29 Feb 2024
Download

The requested paper has a corresponding corrigendum published. Please read the corrigendum first before downloading the article.

Short summary
The present study built a semi-quantitative classification and susceptibility assessment method for a study area, combining multiple mathematical methods and 3S technologies. The results have been verified with field investigation and other evaluation methods. Different methods have their own advantages and disadvantages, and some methods are complementary to a certain extent, so it is desirable to enhance the rationality of the application through the combination of multiple methods.
Altmetrics
Final-revised paper
Preprint