Anticipatory detection and characterization of urban stormwater system flood risk: a model-based fault diagnosis approach
收藏NIAID Data Ecosystem2026-05-02 收录
下载链接：
https://zenodo.org/record/14895137
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资源简介：
File Descriptions
lab_system.inp - EPA SWMM model input file.
lab_system_config.yml - Configuration file used by UrbanSurge to set up the EPA SWMM model.
phy_healthy_impulse_database.csv - Simulated fault-free stormwater system depth and velocity measurements using survey impulse.
phy_impulse_2.5yr_fault_database.csv - Simulated stormwater system depth and velocity measurements using design storm impulse under fault conditions.
phy_impuslse_fault_database.csv - Simulated stormwater system depth and velocity measurements using survey impulse under fault conditions.
pipeline_diagnose.ipynb - Python Jupyter Notebook used to perform fault detection and diagnosis and produce results figures found in the paper.
创建时间：
2025-02-26
