Abstract. Floods are among the most destructive natural hazards in
the world, posing numerous risks to societies and economies globally.
Accurately understanding and modeling floods driven by extreme rainfall
events has long been a challenging task in the domains of hydrologic science and engineering. Unusual catchment responses to flooding cause great difficulty in predicting the variability and magnitude of floods, as well as proposing solutions to manage large volumes of overland flow. The usage of nature-based solutions (NBSs) has proved to be effective in the mitigation of
flood peak rate and volume in urban or coastal areas, yet it is still not
widely implemented due to limited knowledge and testing compared to
traditional engineering solutions. This research examined an integrated
hydrological and hydraulic modeling system to understand the response of an
at-risk watershed system to flooding and evaluate the efficacy of NBS
measures. Using the Hydrologic Engineering Center Hydrologic Modeling System
and River Analysis System (HEC-HMS and HEC-RAS) software, an integrated
hydrologic–hydraulic model was developed for Hurricane Matthew- (2016) and
Florence-driven (2018) floods across the Little Pee Dee–Lumber River
watershed, North and South Carolina (the Carolinas), US. The focus was on
Nichols, a small town that has disproportionately been impacted by
flooding during these two hurricane events. The present article proposes a methodology for selecting, modeling, and
evaluating the performance of NBS measures within a catchment, which can be
extended to other case studies. Different NBS measures, including flood
storage ponds, riparian reforestation, and afforestation in croplands, were
designed, modeled, and evaluated. Hurricane Matthew's flooding event was
used for evaluating the NBS scenarios given its high simulation accuracy in
flood inundation compared to the less accurate results obtained for
Hurricane Florence. The scenario comparison evidenced that large-scale
natural interventions, such as afforestation in croplands, can reduce the
inundated area in Nichols by 8 % to 18 %. On the contrary, the
smaller-scale interventions such as riparian reforestation and flood storage ponds showed a negligible effect of only 1 % on flood mitigation.