Training Machine Learning Surrogate Models From a High‐Fidelity Physics‐Based Model: Application for Real‐Time Street‐Scale Flood Prediction in an Urban Coastal Community-Reference-Cited by-同舟云学术

Training Machine Learning Surrogate Models From a High‐Fidelity Physics‐Based Model: Application for Real‐Time Street‐Scale Flood Prediction in an Urban Coastal Community

Published:2020-10 Issue:10 Volume:56 Page:
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resour. Res.

Author:

Zahura Faria T.¹²,Goodall Jonathan L.¹²^ORCID,Sadler Jeffrey M.¹²³^ORCID,Shen Yawen¹²,Morsy Mohamed M.¹²⁴⁵^ORCID,Behl Madhur²⁶

Affiliation:

1. Department of Engineering Systems and Environment University of Virginia Charlottesville VA USA

2. Link Lab, School of Engineering and Applied Science University of Virginia Charlottesville VA USA

3. Now at United States Geological Survey Middleton WI USA

4. Irrigation and Hydraulics Engineering Department Cairo University Giza Egypt

5. Now at Dewberry Fairfax VA USA

6. Department of Computer Science University of Virginia Charlottesville VA USA

Funder

National Science Foundation

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2019WR027038

Reference89 articles.

1. Identification of diagnostic markers for tuberculosis by proteomic fingerprinting of serum

2. Approximation and Model Management in Aerodynamic Optimization with Variable-Fidelity Models

3. AusRoads (2008).Guide to Road Design Part 5: Drainage Design.

4. An ensemble neural network model for real-time prediction of urban floods

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