Anna Tenditnaya, Ruben Y Gabriels, Wouter T R Hooghiemstra, Uwe Klemm, Wouter B Nagengast, Vasilis Ntziachristos, Dimitris Gorpas
Performance Assessment and Quality Control of Fluorescence Molecular Endoscopy with a Multi-Parametric Rigid Standard
IEEE transactions on medical imaging
flooding one major natural catastrophic disasters causes massive environmental socioeconomic destruction magnitude losses due floods prompted researchers focus robust comprehensive modeling approaches alleviating flood damages recently developed multicriteria decision making mcdm methods widely used construct decisionmaking process participatory rational efficient study two statistical mcdm approaches namely analytical hierarchy process ahp technique order preference similarity ideal solution topsis employed generate flood risk maps together hazard vulnerability maps gis framework navsari city gujarat india identify vulnerable areas susceptible inundation floods study area divided 10 sub areas ie nc1 nc10 appraise degree flood hazard vulnerability risk intensities terms areal coverage categorized 5 intensity classes viz low low moderate high high total 14 flood indicators seven hazard ie elevation slope drainage density distance river rainfall soil flow accumulation vulnerability ie population density female population land use road network density household distance hospital literacy rate considered evaluating flood risk flood risk coverage evaluated two approaches compared flood extent computed actual flood data collected 36 random locations results revealed topsis approach estimated precise flood risk coverage ahp approach yielding high r2 values ie 078 095 low rmse values ie 095 043 5 risk intensity classes sub areas identified high high risk intensity classes ie nc1 nc4 nc6 nc7 nc8 nc10 call immediate flood control measures view palliate extent flood risk consequential damages study demonstrates potential ahp topsis integrated gis towards precise identification floodprone areas devising effective flood management strategies