Reinforcement learning-based real-time control of coastal urban stormwater systems to mitigate flooding and improve water quality-Reference-Cited by-同舟云学术

Reinforcement learning-based real-time control of coastal urban stormwater systems to mitigate flooding and improve water quality

Published:2022 Issue:10 Volume:8 Page:2065-2086
ISSN:2053-1400
Container-title:Environmental Science: Water Research & Technology
language:en
Short-container-title:Environ. Sci.: Water Res. Technol.

Author:

Bowes Benjamin D.¹^ORCID,Wang Cheng¹,Ercan Mehmet B.¹²,Culver Teresa B.¹,Beling Peter A.³,Goodall Jonathan L.¹

Affiliation:

1. Dept. of Engineering Systems and Environment, Univ. of Virginia, 151 Engineer's Way, P.O. Box 400747, Charlottesville, VA 22904, USA

2. Xylem, South Bend, IN, USA

3. Dept. of Industrial and Systems Engineering, Virginia Polytechnic Institute and State University, 250 Perry St, Blacksburg, VA 24061, USA

Abstract

Reinforcement learning agents can learn real-time stormwater system control strategies that balance the competing goals of flood mitigation and sediment capture in urban watersheds.

Funder

National Science Foundation

Publisher

Royal Society of Chemistry (RSC)

Subject

Water Science and Technology,Environmental Engineering

Link

http://pubs.rsc.org/en/content/articlepdf/2022/EW/D1EW00582K

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5. Smarter Stormwater Systems

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