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A platform for research: civil engineering, architecture and urbanism
Flood Susceptibility Modeling Using Forest-Based Regression
Flood is a disastrous event, having significant impact on environment and human life. Flood susceptibility modeling decreases the damage caused by floods, which is a chief component of water management. This study employs a forest-based classification and regression (FBR) in flood susceptibility analysis. A flood susceptibility map was developed using the flood influencing factors and a flood inventory map using FBR. ROC curve was utilized to study the efficiency of the model, having AUC value of 0.997, R-squared value 0.98 during training and 0.92 during validation.
Flood Susceptibility Modeling Using Forest-Based Regression
Flood is a disastrous event, having significant impact on environment and human life. Flood susceptibility modeling decreases the damage caused by floods, which is a chief component of water management. This study employs a forest-based classification and regression (FBR) in flood susceptibility analysis. A flood susceptibility map was developed using the flood influencing factors and a flood inventory map using FBR. ROC curve was utilized to study the efficiency of the model, having AUC value of 0.997, R-squared value 0.98 during training and 0.92 during validation.
Flood Susceptibility Modeling Using Forest-Based Regression
Lect. Notes in Networks, Syst.
Udgata, Siba K. (editor) / Sethi, Srinivas (editor) / Gao, Xiao-Zhi (editor) / Mishra, Bibhu Prasad (author) / Ghose, Dillip Kumar (author) / Satapathy, Deba Prakash (author) / Ghose, Sourav (author)
2022-05-04
9 pages
Article/Chapter (Book)
Electronic Resource
English
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