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Dataset for article "Machine Learning-Based Spatially Varying Parameter Learning Network for Efficient Urban Flood Modeling"

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NIAID Data Ecosystem2026-05-02 收录
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https://zenodo.org/record/14602792
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This dataset contains geospatial information related to the urban flood modeling in paper "Machine Learning-Based Spatially Varying Parameter Learning Network for Efficient Urban Flood Modeling". The files included are: DTM_HongKong.zip - Digital Terrain Model (DTM) of Hong Kong. Building_SHP.zip - Shapefile data of building footprints in Hong Kong. Land_Use.zip - Raster data of land use type in Hong Kong from 2018-2022. Drainage.zip - Drainage system data, including manhole, pipes, and outlets. kowloon_boundary.zip - Shapefile of the boundary of Kowloon Pennisula area.
创建时间:
2025-01-06
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