Event-based decision support algorithm for real-time flood forecasting in urban drainage systems using machine learning modelling

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	105772
Journal	Environmental Modelling and Software
Volume	167
Early online date	5 Jul 2023
DOIs	https://doi.org/10.1016/j.envsoft.2023.105772
Publication status	Published - 1 Sept 2023

Keywords

@article{94b13b9785e440bc8117bd5ceadb0087,

title = "Event-based decision support algorithm for real-time flood forecasting in urban drainage systems using machine learning modelling",

keywords = "Architecture and the built environment",

author = "Farzad Piadeh and Kourosh Behzadian and Chen, \{Albert S.\} and Campos, \{Luiza C.\} and Rizzuto, \{Joseph P.\} and Zoran Kapelan",

year = "2023",

month = sep,

day = "1",

doi = "10.1016/j.envsoft.2023.105772",

language = "English",

volume = "167",

journal = "Environmental Modelling and Software",

issn = "1364-8152",

publisher = "Elsevier Ltd",

}

TY - JOUR

T1 - Event-based decision support algorithm for real-time flood forecasting in urban drainage systems using machine learning modelling

AU - Piadeh, Farzad

AU - Behzadian, Kourosh

AU - Chen, Albert S.

AU - Campos, Luiza C.

AU - Rizzuto, Joseph P.

AU - Kapelan, Zoran

PY - 2023/9/1

Y1 - 2023/9/1

KW - Architecture and the built environment

U2 - 10.1016/j.envsoft.2023.105772

DO - 10.1016/j.envsoft.2023.105772

M3 - Article

SN - 1364-8152

VL - 167

JO - Environmental Modelling and Software

JF - Environmental Modelling and Software

M1 - 105772

ER -