05 Jan 2023
 | 05 Jan 2023
Status: a revised version of this preprint is currently under review for the journal NHESS.

An integrated modelling approach to evaluate the impacts of nature-based solutions of flood mitigation across a small watershed in the southeast United States

Betina Ines Guido, Ioana Popescu, Vidya Samadi, and Biswa Bhattacharya

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 (NBS) 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 Hurricanes Matthew (2016) and Florence (2018) driven floods across the Little Pee Dee-Lumber Rivers watershed, North and South Carolina (the Carolinas), USA. The focus was on Nichols town, a small town that has been disproportionately impacted by flooding during these two hurricane events.

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 town 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.

Betina Ines Guido et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on nhess-2022-281', Adriana - Maria Constantinescu, 06 Mar 2023
    • AC1: 'Reply on CC1', Betina Guido, 22 Mar 2023
  • RC1: 'Comment on nhess-2022-281', Anonymous Referee #1, 10 Apr 2023
    • AC2: 'Reply on RC1', Betina Guido, 03 May 2023
  • RC2: 'Comment on nhess-2022-281', Anonymous Referee #2, 13 Apr 2023
    • AC3: 'Reply on RC2', Betina Guido, 03 May 2023

Betina Ines Guido et al.

Betina Ines Guido et al.


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Short summary
We used an integrated model to evaluate the impacts of nature-based solutions (NBS) on flood mitigation across the Little Pee Dee and Lumber rivers watershed, the Carolinas, US. This area is strongly affected by climatic disasters which are expected to increase due to climate change and urbanization, so exploring an NBS approach is crucial for adapting to future alterations. Our research found that NBS can have visible effects in the reduction of hurricane-driven flooding.