Anticipatory detection and characterization of urban stormwater system flood risk: a model-based fault diagnosis approach

Young, Alexander;Albertson, John

Description

File Descriptionslab_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.

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.4

FAIR Score

73%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Zenodo

License

Creative Commons Attribution 4.0 International

Assigned Domain

Subfield

Control and Systems Engineering

Field

Engineering

Domain

Physical Sciences

Confidence Score

48%

Source

Scholar Data Model

Normalization Factors

FT

63.46

CTw

1.00

MTw

1.00