Scenario simulation-based assessment of trip difficulty for urban residents under rainstorm waterlogging

Int J Environ Res Public Health. 2012 Jun;9(6):2057-74. doi: 10.3390/ijerph9062057. Epub 2012 May 31.

Abstract

In this study, an experiment was performed to assess the trip difficulty for urban residents of different age groups walking in various depths of water, and the data were corroborated with the real urban rainstorm waterlogging scenarios in downtown (Daoli district) Ha-Erbin (China). Mathematical models of urban rainstorm waterlogging were constructed using scenario simulation methods, aided by the GIS spatial analysis technology and hydrodynamic analysis of the waterway systems in the study area. Then these models were used to evaluate the impact of waterlogging on the safety of residents walking in the affected area. Results are summarized as: (1) for an urban rainstorm waterlogging scenario reoccurring once every 10 years, three grid regions would have waterlogging above 0.5 m moving at a velocity of 1.5 m/s. Under this scenario, waterlogging would accumulate on traffic roads only in small areas, affecting the safety and mobility of residents walking in the neighborhood; (2) for an urban rainstorm waterlogging scenario reoccurring once every 20 years, 13 grids experienced the same waterlogging situation affecting a larger area of the city; (3) for an urban rainstorm waterlogging scenario reoccurring once every 50 years, 86 grid regions were affected (waterlogging above 0.5 m moving at 1.5 m/s), and those areas would become impassable for residents.

Keywords: GIS; Ha-Erbin City; scenario simulation; trip difficulty; urban rainstorm waterlogging.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Child
  • China
  • Cities / statistics & numerical data*
  • Floods / statistics & numerical data*
  • Geographic Information Systems
  • Humans
  • Models, Theoretical*
  • Transportation
  • Urban Population / statistics & numerical data*
  • Walking / statistics & numerical data*
  • Young Adult