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• W1974614011 abstract "Flood is one of the natural hazards which occur all over the world and it is critical to be controlled through proper management. Severe flood events in Kelantan, Malaysia cause damage to both life and property every year, and therefore the development of flood model to recognize the susceptible areas in watersheds is important for decision makers. Remote sensing (RS) and geographic information system (GIS) techniques could be useful in hydrological studies while they are able to fulfill all the requirements for comprehensive, rapid and accurate analysis. The aim of the current research is to compare the prediction performances of two different approaches such as rule-based decision tree (DT) and combination of frequency ratio (FR) and logistic regression (LR) statistical methods for flood susceptibility mapping at Kelantan, Malaysia. DT is based on the rules which are created precisely and strongly by considering all the characteristics of the variables which can enhance the performance of the flood susceptibility mapping. On the other hand, LR as multivariate statistical analysis (MSA) has some weak points. For that reason, FR was used to analyze the impact of classes of each variable on flood occurrence and overcome the weakness of LR. At first, flood inventory map with a total of 155 flood locations was extracted from various sources over the part of the Kelantan. Then the flood inventory data was randomly divided into a testing dataset 70% (115 flood locations) for training the models and the remaining 30% (40 flood locations) was used for validation purpose. The spatial database includes digital elevation model (DEM), curvature, geology, river, stream power index (SPI), rainfall, land use/cover (LULC), soil type, topographic wetness index (TWI) and slope. For validation both success and prediction rate curves were performed. The validation results showed that, area under the curve for the results of DT and integrated method of FR and LR was 87% and 90% for success rate and 82% and 83% for prediction rate respectively." @default.
• W1974614011 created "2016-06-24" @default.
• W1974614011 creator A5059040421 @default.
• W1974614011 creator A5085943660 @default.
• W1974614011 creator A5087743827 @default.
• W1974614011 date "2013-11-01" @default.
• W1974614011 modified "2023-10-17" @default.
• W1974614011 title "Spatial prediction of flood susceptible areas using rule based decision tree (DT) and a novel ensemble bivariate and multivariate statistical models in GIS" @default.
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• W1974614011 cites W1963771239 @default.
• W1974614011 cites W1965765785 @default.
• W1974614011 cites W1966602182 @default.
• W1974614011 cites W1968346596 @default.
• W1974614011 cites W1970972394 @default.
• W1974614011 cites W1971095756 @default.
• W1974614011 cites W1972843676 @default.
• W1974614011 cites W1974281059 @default.
• W1974614011 cites W1976351629 @default.
• W1974614011 cites W1976662549 @default.
• W1974614011 cites W1977069065 @default.
• W1974614011 cites W1979486410 @default.
• W1974614011 cites W1988550469 @default.
• W1974614011 cites W1988816342 @default.
• W1974614011 cites W1989158271 @default.
• W1974614011 cites W1994380158 @default.
• W1974614011 cites W1997042197 @default.
• W1974614011 cites W1997659744 @default.
• W1974614011 cites W1998442441 @default.
• W1974614011 cites W2000462249 @default.
• W1974614011 cites W2002610571 @default.
• W1974614011 cites W2004957431 @default.
• W1974614011 cites W2008090122 @default.
• W1974614011 cites W2013713766 @default.
• W1974614011 cites W2018131223 @default.
• W1974614011 cites W2024793000 @default.
• W1974614011 cites W2027386095 @default.
• W1974614011 cites W2029324310 @default.
• W1974614011 cites W2032225608 @default.
• W1974614011 cites W2034085419 @default.
• W1974614011 cites W2038300910 @default.
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• W1974614011 cites W2045679230 @default.
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• W1974614011 cites W2056993220 @default.
• W1974614011 cites W2057039778 @default.
• W1974614011 cites W2064319214 @default.
• W1974614011 cites W2067086056 @default.
• W1974614011 cites W2069483533 @default.
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• W1974614011 doi "https://doi.org/10.1016/j.jhydrol.2013.09.034" @default.
• W1974614011 hasPublicationYear "2013" @default.
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