Scholarlink

<p>Urban flood modelling demands detailed terrain and bathymetry data. However, elevation models often omit street-level geometry, urban infrastructure, and river bathymetry. Here we present a high-resolution integrated urban surface–river bathymetry dataset for the Duero River (Spain). Its novelty lies in coupling surveyed river-channel bathymetry with sub-metre urban geometry. The dataset combines airborne LiDAR, orthophotos, cadastral data, and RTK-GNSS single-beam echosounder surveys, using hard breaklines that enforce continuity of façades, walls, streets, and under-bridge flow paths, plus geomorphology-guided bathymetry refinement. The dataset comprises a 1 m GeoTIFF raster, cross-sections, bathymetric profiles, and validation points. Validation against terrestrial and bathymetric control points is provided as residual layers, class-wise accuracy statistics, geostatistical uncertainty products, and street-level geometry checks. Paired 500-year flood simulations showed that omitting bathymetry and urban corrections substantially alters modelled flood hazard. Uncertainty concentrates where the surface was most modified, conditioning simulated flood patterns. Without a recorded reference flood, the hazard comparison remains relative. The dataset supports reuse in 2D hydraulic modelling for flood risk management and urban hydrological studies.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Data integration of urban surface and river bathymetry to support flood risk management

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年7月31日

查看全文
  • Álvaro Esteban-Muñoz,
  • José María Bodoque,
  • Miguel Ángel Eguibar

摘要

Urban flood modelling demands detailed terrain and bathymetry data. However, elevation models often omit street-level geometry, urban infrastructure, and river bathymetry. Here we present a high-resolution integrated urban surface–river bathymetry dataset for the Duero River (Spain). Its novelty lies in coupling surveyed river-channel bathymetry with sub-metre urban geometry. The dataset combines airborne LiDAR, orthophotos, cadastral data, and RTK-GNSS single-beam echosounder surveys, using hard breaklines that enforce continuity of façades, walls, streets, and under-bridge flow paths, plus geomorphology-guided bathymetry refinement. The dataset comprises a 1 m GeoTIFF raster, cross-sections, bathymetric profiles, and validation points. Validation against terrestrial and bathymetric control points is provided as residual layers, class-wise accuracy statistics, geostatistical uncertainty products, and street-level geometry checks. Paired 500-year flood simulations showed that omitting bathymetry and urban corrections substantially alters modelled flood hazard. Uncertainty concentrates where the surface was most modified, conditioning simulated flood patterns. Without a recorded reference flood, the hazard comparison remains relative. The dataset supports reuse in 2D hydraulic modelling for flood risk management and urban hydrological studies.