Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 22, issue 7
Articles | Volume 22, issue 7
https://doi.org/10.5194/nhess-22-2239-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/nhess-22-2239-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 22, issue 7
Research article
 | 
11 Jul 2022
Research article |  | 11 Jul 2022

Geographic information system models with fuzzy logic for susceptibility maps of debris flow using multiple types of parameters: a case study in Pinggu District of Beijing, China

Yiwei Zhang, Jianping Chen, Qing Wang, Chun Tan, Yongchao Li, Xiaohui Sun, and Yang Li

Viewed

Total article views: 2,048 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,442 550 56 2,048 42 44
  • HTML: 1,442
  • PDF: 550
  • XML: 56
  • Total: 2,048
  • BibTeX: 42
  • EndNote: 44
Views and downloads (calculated since 20 Sep 2021)
Cumulative views and downloads (calculated since 20 Sep 2021)

Viewed (geographical distribution)

Total article views: 2,048 (including HTML, PDF, and XML) Thereof 1,932 with geography defined and 116 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 29 Jun 2024
Download
Short summary
The disaster prevention and mitigation of debris flow is a very important scientific problem. Our model is based on geographic information system (GIS), combined with grey relational, data-driven and fuzzy logic methods. Through our results, we believe that the streamlining of factors and scientific classification should attract attention from other researchers to optimize a model. We also propose a good perspective to make better use of the watershed feature parameters.
Read more
Special issue
Advances in flood forecasting and early warning
Altmetrics
Final-revised paper
Preprint