Artificial intelligence evaluation of nature based flood resilience in hilly terrain.

ABSTRACT: Hilly terrain has notable challenges of flash flooding, requiring a cost-effective and sustainable management approach. Nature-based solutions (NBS) provide significant sustainability, however need methodical assessment under diverse hydrological conditions. To fill this gap, the current investigation explores the significance of the NBS utilizing artificial intelligence (AI) techniques for optimizing flood resilience through the prediction of peak discharge generated from the hilly terrain. For this purpose, two AI advanced models including random forest (RF) and support vector regression (SVR) model were utilized for the assessment of laboratory scale data series of slope, rainfall intensity (P), and time ratio (T/Tc, T: total time, Tc: time of concentration) with flexible (FV) and rigid

SUBMITTER: Mabrouk A 

PROVIDER: S-EPMC12514235 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature