A CFD-ML augmented alternative to residence time for clarification basin scaling and design-Reference-Cited by-同舟云学术

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A CFD-ML augmented alternative to residence time for clarification basin scaling and design

Published:2022-02 Issue: Volume:209 Page:117965
ISSN:0043-1354
Container-title:Water Research
language:en
Short-container-title:Water Research

Author:

Li Haochen,Sansalone John

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Water Science and Technology,Ecological Modeling,Environmental Engineering,Civil and Structural Engineering

Reference107 articles.

1. Dakota, A Multilevel Parallel Object-Oriented Framework for Design Optimization, Parameter Estimation, Uncertainty;Adams,2020

2. Georgia Stormwater Management Manual;Atlanta Regional Commission,2016

3. Turbulent dispersed multiphase flow;Balachandar;Annu Rev Fluid Mech,2010

4. Scaling, self-similarity, and intermediate asymptotics;Barenblatt,2014

5. Pipedream: an interactive digital twin model for natural and urban drainage systems;Bartos;Environmental Modelling & Software,2021

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1. Unit Operation and Process Modeling with Physics-Informed Machine Learning;Journal of Environmental Engineering;2024-04

2. Operator learning for urban water clarification hydrodynamics and particulate matter transport with physics-informed neural networks;Water Research;2024-03

3. Environmental regulations in the United States lead to improvements in untreated stormwater quality over four decades;Water Research;2023-09

4. Quantification of interfacial interaction related with adhesive membrane fouling by genetic algorithm back propagation (GABP) neural network;Journal of Colloid and Interface Science;2023-06

5. Extensibility of a Machine Learning Model for Stormwater Basin Design and Retrofit Optimization Through a User-Friendly Web Application;Transportation Research Record: Journal of the Transportation Research Board;2023-03-05

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