Author(s): Vamsi Krishna Vema; Indhu Dasari; Bharath Sagar Jajolla
Linked Author(s):
Keywords: Flood modelling Antecedent Soil Moisture conditions Hydrological modelling
Abstract: Understanding the role of ASM on flood response is a crucial factor for flood mitigation strategies and to make accurate flood predictions. Analysis of how ASM conditions are influencing the flood characteristics was performed by taking historical flood events. A semi-distributed, HEC-HMS model with SMA loss method for nine different basin model were set-up in this study. These nine different models were calibrated and validated by using AMALGAM algorithm to get the optimal parameters. Analysis was performed by using optimal parameters by varying initial soil moisture percentage from 2% to 100% and keeping all other parameters constant. Further, analysis has been carried out on influence of ASM conditions for different rainfall characteristics and various return periods. Using different rainfall conditions and optimized parameters from historical flood events simulating the nine basin models by varying initial soil moisture conditions and flood characteristics like flood peak and flood volume are identified. The results of the study reveal that, the role of ASM conditions on flood response varies across catchments and rainfall scenarios. The findings underscores the importance of considering local land use, morphometric and soil factors in flood modelling.
Year: 2025