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March 29, 20260 citationsOpen Access

Quantification and transferability of decentralised Nature-based Solutions' effects for pluvial flood mitigation

JNJonas NeumannCSChristian ScheidUDUlrich Dittmer

Key Points

  • This research aims to quantify the effects of decentralised Nature-based Solutions on flood mitigation and assess their transferability across different catchment areas.
  • Utilized 1D/2D coupled models to analyze flood mitigation contributions of NBS.
  • Developed effect curves for transferring flood reduction data to new catchment areas.
  • Identified necessary geospatial data including total catchment area and roof area for NBS implementation.
  • Effect curves successfully provide initial estimates of NBS performance in new catchment areas.
  • Validation shows potential for accurate transfer of flood reduction effects with the right data.

Abstract

Decentralised Nature-based Solutions (NBS), such as swales and green roofs, contribute to flood mitigation during heavy rainfall events. The quantitative impact of these systems on flood mitigation can be determined using 1D/2D coupled models. However, developing such models requires comprehensive geospatial data and technical expertise. This article presents a methodology to transfer the detailed flood reduction effects of NBS from a 1D/2D simulation to other catchment areas using effect curves. For this the following information is required: the total catchment area, the total roof area and the potential for implementing NBS. This includes the green area available for infiltration systems (roof area is connected to the systems) and the roof area that can be converted to green roofs. Given these characteristics, the validation shows that the effect curves can be used for an initial estimation of NBS performance in reducing floods in the new catchment area. However, simulations are required for a detailed assessment of NBS performance due to the heterogeneity of catchment areas.

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Cite This Study

Neumann et al. (2026) studied this question.

synapsesocial.com/papers/69c8c277de0f0f753b39ccbahttps://doi.org/10.71573/8bsky675
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