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

Name: Dataset for article "Machine Learning-Based Spatially Varying Parameter Learning Network for Efficient Urban Flood Modeling"
Creator: Zenodo
Published: 2025-01-06T03:08:45+08:00

Zenodo2025-01-06 更新2026-05-26 收录

数据链接：

https://zenodo.org/doi/10.5281/zenodo.14602793 数据链接链接失效反馈

官方服务：

资源简介：

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.

提供机构：

Zenodo

创建时间：

2025-01-06