How should flood risk assessments be done in a changing climate?


In an argument grounded in an analysis of the inherent limitations of statistical analyses, the authors suggest that researchers’ typical starting assumption that flood behavior is not changing—even in the face of suspected trends in extreme events and knowledge of how difficult such trends are to detect—causes water managers to undervalue flood protection benefits, opening the door to unnecessary losses down the line.

When researchers assume no trend, statistical errors could cause them to overlook of the risks of underpreparing for changing flood conditions. Often, potential flood damage due to underpreparedness far exceeds the potential cost of overinvesting in flood protection infrastructure. Flipping the process around, starting with an assumption that a change in flood conditions is occurring, would give critical attention to the risk of underestimating future floods, rather than only considering the risk of wasting money on unneeded infrastructure.

The authors propose a method of risk assessment that starts with the null hypothesis of “no trend” but that explicitly assesses the effect of statistical uncertainties that may cause them to misidentify real trends and the damages those trends might produce.