Computational Modeling of Climate Change Impacts on Flood Inflows Using Remote Sensing and SWAT: A Case Study of Ban Chat Reservoir, Northern Vietnam

This study examines the changes in land cover and three water quality indicators (chlorophyll-a, colored dissolved organic matter, turbidity) using Sentinel-2 imagery in the Ban Chat hydropower area in Northern Vietnam during the period of 2016--2024. To assess the potential impact of flood flows into the Ban Chat reservoir, key information is extracted from remote sensing data, which is the Vietnam climate change scenarios published in 2020, and the SWAT hydrological model is also utilized. The obtained results indicate that: (1) there is a relationship among land cover, chlorophyll-\textit{a}, colored dissolved organic matter, and turbidity in the study area; (2) the impacts of climate change on flood flow into the Ban Chat reservoir depict complex fluctuations and differed significantly depending on the simulated time and climate change scenarios. The SWAT hydrological model of the flood flow change calculation results show an increasing trend during most periods.