This talk will explore the speaker’s research on water resources, spanning areas from Hydrology and Hydraulic to Hydropower. The talk will begin with the uncertainty quantification in the modeling of FEMA’s Flood Insurance Rate Maps using Bayesian model averaging approaches, introducing probabilistic flood maps that provide more comprehensive insights than traditional deterministic flood maps. Next, the talk will present a framework for probabilistic flood mapping in Idaho, explicitly accounting for uncertainties in NOAA Atlas 14 precipitation frequency estimates. Finally, the talk will discuss previous efforts to assess the ecological impacts of conventional hydropower facilities, leveraging advanced sensor technologies and data-driven approaches.