Floods have been occurring more frequently and with greater severity in cities around the world, raising concerns about urban flooding. This also applies to Mangalore, an Indian coastal city in the state of Karnataka. This study intends to create an urban flood model for the Mangalore sub-catchment by applying PCSWMM (Personal Computer Storm Water Management Model) software using the Green-Ampt infiltration method. Advanced surveying techniques are used to model this in order to gather the information required to replicate actual drainage conditions and to further analyze flood scenarios using various rainfall return periods. This also involved processing the incoming data using a geographic information system (GIS). The actual flooding conditions were replicated using the high rainfall event. Previous flood data was then used to modify the model’s parameters. In order to prevent floods from periods of intense rainfall while taking field conditions into account, a modified drainage system was implemented. This effort is part of a larger research project that uses both structural and non-structural methods to investigate creative ways to reduce urban floods. The findings will shed crucial light on how well urban flood modelling works to lower the danger of flooding. The foundation for further research in this important field is laid by this study, which will eventually result in more sustainable and resilient urban settings.

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Urban Flood Modelling: A Case Study in Mangalore Subcatchment

  • Dhanush Devadiga,
  • Samanyu P. Rai,
  • Pruthviraj Umesh

摘要

Floods have been occurring more frequently and with greater severity in cities around the world, raising concerns about urban flooding. This also applies to Mangalore, an Indian coastal city in the state of Karnataka. This study intends to create an urban flood model for the Mangalore sub-catchment by applying PCSWMM (Personal Computer Storm Water Management Model) software using the Green-Ampt infiltration method. Advanced surveying techniques are used to model this in order to gather the information required to replicate actual drainage conditions and to further analyze flood scenarios using various rainfall return periods. This also involved processing the incoming data using a geographic information system (GIS). The actual flooding conditions were replicated using the high rainfall event. Previous flood data was then used to modify the model’s parameters. In order to prevent floods from periods of intense rainfall while taking field conditions into account, a modified drainage system was implemented. This effort is part of a larger research project that uses both structural and non-structural methods to investigate creative ways to reduce urban floods. The findings will shed crucial light on how well urban flood modelling works to lower the danger of flooding. The foundation for further research in this important field is laid by this study, which will eventually result in more sustainable and resilient urban settings.