Flooding is a natural or natural phenomenon in the floodplain region. It is a natural disaster to the local people and their lives and property due to overpopulation in the riparian region. Various methods for flood control have been discussed previously. Still, the first step is to identify inundated areas on a temporary and spatial basis in a specific floodplain zone, where it will be possible to formulate government policies for the benefit of local stakeholders. This article uses the flood susceptibility model to locate inundated areas along the floodplain region of the Bhagirathi-Hooghly River floodplain in West Bengal, India, on a spatial basis. The spatial differentiation of the inundated floodplain region is shown in four different models, mainly using the MCDA and expert, bivariate, and multivariate statistical methods. Among the models used, the AHP model captures the image of spatial flooding of the entire region for high sensitivity. Also, the models used suggest that riparian areas are most likely to be flooded due to the low slope and elevation of the topography. A review of the performance of the models through the AUROC curve shows that while the accuracy of the AHP model is generally high, the accuracy of the LR model is good enough to highlight the possibility of future inundation and floodplain boundaries. It is thought that government policy on flood control will be determined by reviewing the above models and applying the correct model to identify flooded areas.