Integrating Hourly Scale Hydrological Modeling and Remote Sensing Data for Flood Simulation and Hydrological Analysis in a Coastal Watershed

Autor: Yang Cao, Congsheng Fu, Mingxiang Yang
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Applied Sciences, Vol 13, Iss 18, p 10409 (2023)
Druh dokumentu: article
ISSN: 2076-3417
DOI: 10.3390/app131810409
Popis: Hourly scale hydrological modeling holds pivotal significance for flood-related research, as watershed floods often occur within a few hours of intense rainfall. Although the SWAT model’s hourly simulation has found application in a few watersheds, the relatively short usage history and limited scope inhibit a comprehensive grasp of its potential. In this study, a coastal watershed in Fukuyama City, Japan was selected as a case study for conducting hourly simulations. The study highlights the hourly simulation’s proficiency in capturing diverse flood trends while also accurately replicating baseflow and flood peaks within the 0 to 200 m3/s range. However, there is an underestimation of peak flows in calculations exceeding 200 m3/s. Moreover, empirical summaries have been generated to outline the parameterization process of hourly simulation, revealing how distinct parameters influence simulated runoff. For instance, it outlines how BFLO_DIST significantly affects baseflow simulation when operating in hourly mode. Our findings provide an empirical summary of the advantages, disadvantages, and parameterization process for hourly simulations of the SWAT model.
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