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


 
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1. Title Title of document Flood Susceptibility Appraisal in Ponnaiyar River Basin, India using Frequency Ratio (FR) and Shannon’s Entropy (SE) Models
 
2. Creator Author's name, affiliation, country Jothibasu A.; Centre for Geoinformatics and Planetary Studies, Department of Geology, Periyar University, Salem, India
 
2. Creator Author's name, affiliation, country Anbazhagan S.; Centre for Geoinformatics and Planetary Studies, Department of Geology, Periyar University, Salem, India
 
2. Creator Author's name, affiliation, country (doi: 10.23953/cloud.ijarsg.73)
 
3. Subject Discipline(s)
 
3. Subject Keyword(s) Geographic Information System; Remote Sensing; Flood Susceptibility; Ponnaiyar River
 
4. Description Abstract

In any Watershed management studies, demarcation of flood prone area is one of the key tasks. Flood management is essential to shrink the flood effects on human lives and livelihoods. Main goal of the present research is to investigate the application of the Frequency Ratio (FR) and Shannon’s Entropy (SE) models for flood susceptibility appraisal of Ponnaiyar River basin in Tamil Nadu, India. Initially, the flood inventory map was prepared using overlay analysis (slope, 20 meter contour intervals and drainage patterns) and extensive field surveys. In total, 136 flood locations were noted in the study area. Out of these, 95 (70%) floods were randomly selected as training data and the remaining 41 (30%) floods were used for the validation purposes. Further, flood conditioning factors such as lithology, land-use, distance from rivers, soil depth, rainfall, slope angle, slope aspect, curvature, topographic wetness index (TWI) and altitude were prepared from the spatial database. Then, the receiver operating characteristic (ROC) curves were drawn for produced flood susceptibility maps and the area under the curves (AUCs) was computed. The final results indicated that the FR (AUC = 80.20%) and SE (AUC = 79.30%) models have almost similar and reasonable results. Therefore, these flood susceptibility maps can be useful for researchers and planner in flood mitigation strategies.
 
5. Publisher Organizing agency, location
 
6. Contributor Sponsor(s)
 
7. Date (YYYY-MM-DD) 2016-10-14
 
8. Type Status & genre Peer-reviewed Article
 
8. Type Type
 
9. Format File format PDF
 
10. Identifier Uniform Resource Identifier http://technical.cloud-journals.com/index.php/IJARSG/article/view/Tech-662
11. Source Journal/conference title; vol., no. (year) International Journal of Advanced Remote Sensing and GIS; Volume 5 (Year 2016)
 
12. Language English=en en
 
14. Coverage Geo-spatial location, chronological period, research sample (gender, age, etc.)
 
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