Flood Susceptibility Appraisal in Ponnaiyar River Basin, India using Frequency Ratio (FR) and Shannon’s Entropy (SE) Models

2016 ◽  
Vol 5 (1) ◽  
pp. 1946-1962 ◽  
Author(s):  
Jothibasu A. ◽  
◽  
Anbazhagan S. ◽  
Keyword(s):  
River Basin ◽  
Frequency Ratio ◽  
Shannon’S Entropy ◽  
Shannon's Entropy ◽  
Flood Susceptibility ◽  
Ponnaiyar River

Spatial flood susceptibility prediction in Middle Ganga Plain: comparison of frequency ratio and Shannon’s entropy models

2019 ◽  
pp. 1-32 ◽  
Author(s):  
Aman Arora ◽  
Manish Pandey ◽  
Masood Ahsan Siddiqui ◽  
Haoyuan Hong ◽  
Varun Narayan Mishra
Keyword(s):  
Frequency Ratio ◽  
Shannon’S Entropy ◽  
Ganga Plain ◽  
Shannon's Entropy ◽  
Flood Susceptibility ◽  
Middle Ganga Plain

scholarly journals A Comparative Study of Frequency Ratio, Shannon’s Entropy and Analytic Hierarchy Process (AHP) Models for Landslide Susceptibility Assessment

2021 ◽  
Vol 10 (9) ◽  
pp. 603
Author(s):  
Sandeep Panchal ◽  
Amit Kr. Shrivastava
Keyword(s):  
Analytic Hierarchy Process ◽  
Landslide Susceptibility ◽  
Frequency Ratio ◽  
Shannon’S Entropy ◽  
Analytic Hierarchy ◽  
Shannon's Entropy ◽  
Susceptibility Maps ◽  
Roc Area ◽  
Hierarchy Process ◽  
Landslide Susceptibility Maps

Landslide susceptibility maps are very important tools in the planning and management of landslide prone areas. Qualitative and quantitative methods each have their own advantages and dis-advantages in landslide susceptibility mapping. The aim of this study is to compare three models, i.e., frequency ratio (FR), Shannon’s entropy and analytic hierarchy process (AHP) by implementing them for the preparation of landslide susceptibility maps. Shimla, a district in Himachal Pradesh (H.P.), India was chosen for the study. A landslide inventory containing more than 1500 landslide events was prepared using previous literature, available historical data and a field survey. Out of the total number of landslide events, 30% data was used for training and 70% data was used for testing purpose. The frequency ratio, Shannon’s entropy and AHP models were implemented and three landslide susceptibility maps were prepared for the study area. The final landslide susceptibility maps were validated using a receiver operating characteristic (ROC) curve. The frequency ratio (FR) model yielded the highest accuracy, with 0.925 fitted ROC area, while the accuracy achieved by Shannon’s entropy model was 0.883. Analytic hierarchy process (AHP) yielded the lowest accuracy, with 0.732 fitted ROC area. The results of this study can be used by engineers and planners for better management and mitigation of landslides in the study area.

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