Landslide susceptibility mapping in and around Mussoorie Township using fuzzy set procedure, MamLand and improved fuzzy expert system-A comparative study
| Autor: | R. Anbalagan, K V Shihabudheen, Bipin Peethambaran |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Soft computing
Atmospheric Science Geographic information system 010504 meteorology & atmospheric sciences Heuristic business.industry Computer science Fuzzy set Probabilistic logic Landslide Terrain 010502 geochemistry & geophysics computer.software_genre 01 natural sciences Natural hazard Earth and Planetary Sciences (miscellaneous) Data mining business computer 0105 earth and related environmental sciences Water Science and Technology |
| Zdroj: | Natural Hazards. 96:121-147 |
| ISSN: | 1573-0840 0921-030X |
| Popis: | A landslide susceptibility map (LSM) is an imperative element in the planning of sustainable development practices and geo-environmental conservations in mountainous terrains. In recent times, approaches that couple soft computing techniques and Geographic Information System (GIS) has emerged as better-suited models that can diminish the flaws and limitations of heuristic, probabilistic and distribution approaches in landslide susceptibility mapping. This paper presents an improved fuzzy expert system (FES) model, a fusion of Mamdani fuzzy inference system (Mamdani-FIS) and frequency ratio method for GIS-based landslide susceptibility mapping. The improved FES model has been applied for mesoscale (1:15,000) landslide susceptibility mapping of Mussoorie Township, Uttarakhand, India, along with conventional fuzzy set procedure (FSP) and an existing FES model, MamLand. The LSMs generated through different procedures have been validated and compared by means of spatial distribution of susceptibility zones and statistical analysis with the help of landslide inventory. The validation and comparative analysis have indicated the significantly better performance of the improved FES model over FSP and MamLand. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink