Regional Flood Risk Projections under Climate Change

10/10/2020
by   Sanjib Sharma, et al.
0

Flood-related risks to people and property are expected to increase in the future due to environmental and demographic changes. It is important to quantify and effectively communicate flood hazards and exposure to inform the design and implementation of flood risk management strategies. Here we develop an integrated modeling framework to assess projected changes in regional riverine flood inundation risks. The framework samples climate model outputs to force a hydrologic model and generate streamflow projections. Together with a statistical and hydraulic model, we use the projected streamflow to map the uncertainty of flood inundation projections for extreme flood events. We implement the framework for rivers across the state of Pennsylvania, United States. Our projections suggest that flood hazards and exposure across Pennsylvania are overall increasing with future climate change. Specific regions, including the main stem Susquehanna River, lower portion of the Allegheny basin and central portion of Delaware River basin, demonstrate higher flood inundation risks. In our analysis, the climate uncertainty dominates the overall uncertainty surrounding the flood inundation projection chain. The combined hydrologic and hydraulic uncertainties can account for as much as 37 of the total uncertainty. We discuss how this framework can provide regional and dynamic flood-risk assessments and help to inform the design of risk-management strategies.

READ FULL TEXT

page 39

page 40

page 42

research
10/30/2021

AIRCC-Clim: a user-friendly tool for generating regional probabilistic climate change scenarios and risk measures

Complex physical models are the most advanced tools available for produc...
research
03/01/2020

Predictive Inference of a Wildfire Risk Pipeline in the United States

Wildfires are rare catastrophic events that are influenced by global cli...
research
03/02/2022

Flood hazard model calibration using multiresolution model output

Riverine floods pose a considerable risk to many communities. Improving ...
research
11/29/2022

Sea Level and Socioeconomic Uncertainty Drives High-End Coastal Adaptation Costs

Sea-level rise and associated flood hazards pose severe risks to the mil...
research
09/12/2023

HurriCast: An Automatic Framework Using Machine Learning and Statistical Modeling for Hurricane Forecasting

Hurricanes present major challenges in the U.S. due to their devastating...
research
08/20/2018

An Integration and Assessment of Covariates of Nonstationary Storm Surge Statistical Behavior by Bayesian Model Averaging

Projections of storm surge return levels are a basic requirement for eff...
research
08/20/2018

An Assessment of Covariates of Nonstationary Storm Surge Statistical Behavior by Bayesian Model Averaging

Projections of storm surge return levels are a basic requirement for eff...

Please sign up or login with your details

Forgot password? Click here to reset