PMID- 37156952
OWN - NLM
STAT- Publisher
LR  - 20230508
IS  - 1614-7499 (Electronic)
IS  - 0944-1344 (Linking)
DP  - 2023 May 9
TI  - Ensemble of fuzzy-analytical hierarchy process in landslide susceptibility 
      modeling from a humid tropical region of Western Ghats, Southern India.
LID - 10.1007/s11356-023-27377-4 [doi]
AB  - The western flanks of the Western Ghats are one of the major landslide hotspots 
      in India. Recent rainfall triggered landslide incidents in this humid tropical 
      region necessitating the accurate and reliable landslide susceptibility mapping 
      (LSM) of selected parts of Western Ghats for hazard mitigation. In this study, a 
      GIS-coupled fuzzy Multi-Criteria Decision Making (MCDM) technique is used to 
      evaluate the landslide-susceptible zones in a highland segment of the Southern 
      Western Ghats. Fuzzy numbers specified the relative weights of nine landslide 
      influencing factors that were established and delineated using the ArcGIS, and 
      the pairwise comparison of these fuzzy numbers in the Analytical hierarchy 
      process (AHP) system resulted in standardized causative factor weights. 
      Thereafter, the normalized weights are assigned to corresponding thematic layers, 
      and finally, a landslide susceptibility map is generated. The model is validated 
      using the area under the curve values (AUC) and F1 scores. The result reveals 
      that about 27% of the study area is classified as highly susceptible zones 
      followed by 24% area in moderately susceptible zone, 33% in low susceptible, and 
      16% in a very low susceptible area. Also, the study shows that the plateau scarps 
      in the Western Ghats are highly susceptible to the occurrence of landslides. 
      Moreover, the predictive accuracy estimated by the AUC scores (79%) and F1 scores 
      (85%) shows that the LSM map is trustworthy for future hazard mitigation and land 
      use planning in the study area.
CI  - (c) 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, 
      part of Springer Nature.
FAU - Gopinath, Girish
AU  - Gopinath G
AD  - Department of Climate Variability and Aquatic Ecosystems, Kerala University of 
      Fisheries and Ocean Studies (KUFOS), Kochi, Kerala, 682508, India. 
      ggkufos@gmail.com.
FAU - Jesiya, Nalukudiparambil
AU  - Jesiya N
AD  - Department of Environmental Studies, Kannur University, Kannur, 670567, India.
FAU - Achu, Ashokan Laila
AU  - Achu AL
AD  - Department of Climate Variability and Aquatic Ecosystems, Kerala University of 
      Fisheries and Ocean Studies (KUFOS), Kochi, Kerala, 682508, India.
FAU - Bhadran, Arun
AU  - Bhadran A
AD  - Geological Survey of India, North-Eastern Region, Shillong, 793106, India.
FAU - Surendran, Udayar Pillai
AU  - Surendran UP
AD  - Centre for Water Resources Development and Management (CWRDM), Kozhikode, Kerala, 
      673 571, India.
LA  - eng
PT  - Journal Article
DEP - 20230509
PL  - Germany
TA  - Environ Sci Pollut Res Int
JT  - Environmental science and pollution research international
JID - 9441769
SB  - IM
OTO - NOTNLM
OT  - Fuzzy-AHP
OT  - GIS
OT  - India
OT  - Kerala
OT  - Landslides
OT  - Western Ghats
EDAT- 2023/05/09 00:42
MHDA- 2023/05/09 00:42
CRDT- 2023/05/08 23:25
PHST- 2022/09/18 00:00 [received]
PHST- 2023/04/27 00:00 [accepted]
PHST- 2023/05/09 00:42 [medline]
PHST- 2023/05/09 00:42 [pubmed]
PHST- 2023/05/08 23:25 [entrez]
AID - 10.1007/s11356-023-27377-4 [pii]
AID - 10.1007/s11356-023-27377-4 [doi]
PST - aheadofprint
SO  - Environ Sci Pollut Res Int. 2023 May 9. doi: 10.1007/s11356-023-27377-4.