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Urban flood risk assessment and analysis with a 3D visualization method coupling the PP-PSO algorithm and building

Guozheng Zhi1, Zhenliang Liao2, Wenchong Tian3

  • 1College of Environmental Science and Engineering, Tongji University, Shanghai, 200092, China; Shanghai Urban Water Resources Development and Utilization National Engineering Center Co. Ltd., Shanghai 200082, China.

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Summary

This study introduces a novel 3D visualization method for urban flood risk assessment. Incorporating 3D building data significantly improves the accuracy of flood risk analysis, offering multi-perspective insights.

Keywords:
3D visualizationFlood risk assessmentMulti-source heterogeneous dataPP-PSO algorithm

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Area of Science:

  • Geographic Information Science
  • Hydrology
  • Urban Planning

Background:

  • Traditional flood risk assessment relies on 2D data, neglecting the significant impact of 3D building information.
  • Urban flood risk is increasingly influenced by building attributes and their interaction with floodwaters.

Purpose of the Study:

  • To develop and demonstrate a 3D visualization assessment and analysis method for urban flood risk (3DVAAM-PP-PSO).
  • To integrate 3D spatial building information with multi-source data for a comprehensive flood risk analysis.
  • To evaluate the influence of 3D building data on flood risk assessment outcomes.

Main Methods:

  • Coupling urban drainage and flood simulation models with 3D visualization techniques.
  • Utilizing 3D building models to extract relevant spatial flood information.
  • Employing the projection pursuit-particle swarm optimization (PP-PSO) algorithm for integrated analysis.

Main Results:

  • The PP-PSO algorithm effectively processed high-dimensional data and assigned objective weights to assessment indices.
  • Incorporating 3D building information altered flood risk evaluation results, highlighting its importance.
  • 3D visualization provided multi-perspective analyses of flood risk distribution, both overall and around buildings.

Conclusions:

  • The developed 3DVAAM-PP-PSO method offers a novel approach to urban flood risk assessment by leveraging 3D spatial data.
  • 3D information is crucial for accurate flood risk evaluation in urban environments.
  • The method enables intuitive and comparative analysis of flood risk under various rainfall scenarios.