Urban pluvial flood risk in industrial zones

The gap

Evidence profile

Sourced from the stated research gap and abstract and limitations section and future-work section of the source papers, classified as general, spanning 3 journals. Those papers have been cited 2 times in total.

Supporting evidence — 4 representative gaps

• A process-informed framework linking temperature-rainfall projections and urban flood modeling (2026) · Hydrology and earth system sciences · doi

  The scarcity of high-resolution rainfall projections, particularly at the sub-daily and kilometer scales required for hydrodynamic modeling. The need for a framework that can quantify changes in future urban flood statistics with detailed hazard maps. The lack of a process-informed approach that links temperature-rainfall projections and urban flood modeling.

  generalstated research gap
  Keywords: scarcity high-resolution rainfall projections particularly sub-daily kilometer scales
• Balancing Accuracy and Efficiency for Sustainable Flood Adaptation: Multi-Resolution LiDAR DEM Sensitivity Analysis of Urban Pluvial Flooding in the Gumi Industrial Complex (2026) · Sustainability · cited 1× · doi

  Urban pluvial flood risk in industrial zones is intensifying under climate change, yet the joint influence of digital elevation model (DEM) resolution, surface roughness heterogeneity, and infiltration capacity on simulation accuracy remains insufficiently characterized.

  generalabstractevidence 5/5
  Keywords: urban pluvial flood risk industrial zones intensifying climate change joint influence digital elevation model resolution
• Assessing financial risk to property portfolios from physical rainfall extremes (2026) · Natural hazards and earth system sciences · doi

  The method has limitations, including the simplified modelling of rainfall–flood relationships and the omission of potential future changes to floodplains. The absolute values of Expected Annual Damage should be interpreted with caution due to modelling caveats. No bias correction is applied to the rainfall data used in this analysis.

  generallimitations sectionevidence 5/5
  Keywords: method has limitations including simplified modelling rainfall flood
• Balancing Accuracy and Efficiency for Sustainable Flood Adaptation: Multi-Resolution LiDAR DEM Sensitivity Analysis of Urban Pluvial Flooding in the Gumi Industrial Complex (2026) · Sustainability · cited 1× · doi

  Future studies should investigate the impact of other factors on flood simulation accuracy, such as vegetation and soil type. Future studies should apply the study's methodology to other urban areas to improve flood prediction and mitigation. Future studies should explore the use of other DEM resolutions and infiltration rates to optimize computational resources for flood simulation.

  generalfuture-work sectionevidence 5/5
  Keywords: future studies investigate impact other factors flood simulation

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