Potential of Decentral Nature-Based Solutions for Mitigation of Pluvial Floods in Urban Areas—A Simulation Study Based on 1D/2D Coupled Modeling

  • Urban drainage systems are generally designed to handle rainfall events only up to a certain in-tensity or volume. With climate change, extreme events that exceed the design storms and con-sequently result in flooding are occurring more frequently. Nature-based solutions (NBSs) have the potential to reduce the pressure on urban drainage systems and to increase their resilience. This study presents an approach to compare and evaluate the effectiveness of NBSs for flood mit-igation using a coupled 1D/2D model of surface and sewer flow. The study analyzes the effect of infiltration systems (dimensioned to return periods of T = 5 and 100 years), various green roofs, and tree pits considering the different degrees of implementation. The NBSs are represented as LID elements according to SWMM. As expected, the mitigation effect of NBSs declines with in-creasing rainfall intensities. However, infiltration systems dimensioned to T = 100 years achieve almost three times the flood reduction compared to systems dimensioned to T = 5 years, even during extremely heavy rainfall events (100 mm), resulting in a reduced total flood volume of 15.1% to 25.8%. Overall, green roofs (excluding extensive green roofs) provide the most significant flood reduction (33.5%), while tree locations have the least effect.

Download full text files

Export metadata

Metadaten
Author:Jonas Neumann, Christian ScheidORCiD, Dittmer UlrichORCiD
URN:urn:nbn:de:hbz:386-kluedo-85495
Parent Title (English):Water
Document Type:Article
Language of publication:English
Date of Publication (online):2024/03/08
Year of first Publication:2024
Publishing Institution:Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau
Date of the Publication (Server):2024/12/11
Issue:2024, 16(6), 811
Page Number:21
Source:10.3390/w16060811
Faculties / Organisational entities:Kaiserslautern - Fachbereich Bauingenieurwesen
DDC-Cassification:5 Naturwissenschaften und Mathematik / 500 Naturwissenschaften
Collections:Open-Access-Publikationsfonds
Licence (German):Lizenz nach Originalpublikation