Uncertainties of machine learning in predicting the hydrological responses of lid practices

Yang Yang; Ting Fong May Chui

Uncertainties of machine learning in predicting the hydrological responses of lid practices

Yang Yang
, Ting Fong May Chui

The University of Hong Kong

Research output: Contribution to conference › Paper › peer-review

Original language	English
State	Published - 2020
Externally published	Yes
Event	22nd Congress of the International Association for Hydro-Environment Engineering and Research-Asia Pacific Division: Creating Resilience to Water-Related Challenges, IAHR-APD 2020 - Sapporo, Virtual, Japan Duration: Sep 14 2020 → Sep 17 2020

Conference

Conference	22nd Congress of the International Association for Hydro-Environment Engineering and Research-Asia Pacific Division: Creating Resilience to Water-Related Challenges, IAHR-APD 2020
Country/Territory	Japan
City	Sapporo, Virtual
Period	9/14/20 → 9/17/20

ASJC Scopus Subject Areas

Ecology
Environmental Engineering

Keywords

Low impact development
Machine learning
Stormwater management
Sustainable drainage system
Uncertainty analysis

Cite this

Uncertainties of machine learning in predicting the hydrological responses of lid practices. / Yang, Yang; Chui, Ting Fong May.
2020. Paper presented at 22nd Congress of the International Association for Hydro-Environment Engineering and Research-Asia Pacific Division: Creating Resilience to Water-Related Challenges, IAHR-APD 2020, Sapporo, Virtual, Japan.

Research output: Contribution to conference › Paper › peer-review

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title = "Uncertainties of machine learning in predicting the hydrological responses of lid practices",

keywords = "Low impact development, Machine learning, Stormwater management, Sustainable drainage system, Uncertainty analysis",

author = "Yang Yang and Chui, \{Ting Fong May\}",

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year = "2020",

language = "English",

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TY - CONF

T1 - Uncertainties of machine learning in predicting the hydrological responses of lid practices

AU - Yang, Yang

AU - Chui, Ting Fong May

N1 - Publisher Copyright: © 2020 22nd Congress of the International Association for Hydro-Environment Engineering and Research-Asia Pacific Division, IAHR-APD 2020: "Creating Resilience to Water-Related Challenges". All rights reserved.

PY - 2020

Y1 - 2020

KW - Low impact development

KW - Machine learning

KW - Stormwater management

KW - Sustainable drainage system

KW - Uncertainty analysis

UR - https://www.scopus.com/pages/publications/85104789808

UR - https://www.scopus.com/pages/publications/85104789808#tab=citedBy

M3 - Paper

AN - SCOPUS:85104789808

T2 - 22nd Congress of the International Association for Hydro-Environment Engineering and Research-Asia Pacific Division: Creating Resilience to Water-Related Challenges, IAHR-APD 2020

Y2 - 14 September 2020 through 17 September 2020

ER -

Uncertainties of machine learning in predicting the hydrological responses of lid practices

Conference

ASJC Scopus Subject Areas

Keywords

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