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Yuki Miura

Biographic Data

ID9720281
NAMEYuki Miura
GIVEN NAMESYuki
FAMILY NAMEMiura
SIGNATUREMIURA Y
AFFILIATIONSORCID
ORCID0000-0001-6746-2419
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2021
H-INDEX0
  • High-Speed GIS-Based Simulation of Storm Surge–Induced Flooding Accounting for Sea Level Rise

    Yuki Miura, Kyle T Mandli et al.•ARTICLE•Natural Hazards Review•2021

    A storm surge–induced flood simulation methodology, called the GIS-based subdivision-redistribution (GISSR) methodology, is proposed for coastal urban environments. The methodology combines GIS with Manning’s equation to calculate the volume of water flowing into the geographical area under consideration and then redistributes it appropriately over that area. It uses as input the time histories of the storm surge height and of tides along the coa…

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  • High-Speed GIS-Based Simulation of Storm Surge–Induced Flooding Accounting for Sea Level Rise

    Yuki Miura, Kyle T Mandli et al.•ARTICLE•Natural Hazards Review•2021

    A storm surge–induced flood simulation methodology, called the GIS-based subdivision-redistribution (GISSR) methodology, is proposed for coastal urban environments. The methodology combines GIS with Manning’s equation to calculate the volume of water flowing into the geographical area under consideration and then redistributes it appropriately over that area. It uses as input the time histories of the storm surge height and of tides along the coa…

Cartography (1 work) · Civil engineering (1 work) · Climate change (1 work) · Coastal and Marine Dynamics (1 work) · Coastal flood (1 work) · Computer Science (1 work) · Engineering (1 work) · Environmental Science (1 work) · Flood myth (1 work) · Flood Risk Assessment and Management (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae