In-depth simulation of rainfall–runoff relationships using machine learning methods

Mehdi Fuladipanah; Alireza Shahhosseini; Namal Rathnayake; Hazi Md Azamathulla; Upaka Rathnayake; D. P. P. Meddage; Kiran Tota-Maharaj

doi:10.2166/wpt.2024.147

In-depth simulation of rainfall–runoff relationships using machine learning methods

Mehdi Fuladipanah
, Alireza Shahhosseini
, Namal Rathnayake
, Hazi Md Azamathulla
, Upaka Rathnayake
, D. P. P. Meddage
, Kiran Tota-Maharaj

Department of Civil Engineering & Construction

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

Original language	Undefined/Unknown
Journal	Water Practice & Technology
DOIs	https://doi.org/10.2166/wpt.2024.147
Publication status	Published - 1 Jun 2024

Access to Document

10.2166/wpt.2024.147

Cite this

@article{6b22064c23474401a41116b826bae6e8,

title = "In-depth simulation of rainfall–runoff relationships using machine learning methods",

author = "Mehdi Fuladipanah and Alireza Shahhosseini and Namal Rathnayake and Azamathulla, \{Hazi Md\} and Upaka Rathnayake and Meddage, \{D. P. P.\} and Kiran Tota-Maharaj",

year = "2024",

month = jun,

day = "1",

doi = "10.2166/wpt.2024.147",

language = "Undefined/Unknown",

journal = "Water Practice \& Technology",

}

TY - JOUR

T1 - In-depth simulation of rainfall–runoff relationships using machine learning methods

AU - Fuladipanah, Mehdi

AU - Shahhosseini, Alireza

AU - Rathnayake, Namal

AU - Azamathulla, Hazi Md

AU - Rathnayake, Upaka

AU - Meddage, D. P. P.

AU - Tota-Maharaj, Kiran

PY - 2024/6/1

Y1 - 2024/6/1

UR - https://doi.org/10.2166/wpt.2024.147

U2 - 10.2166/wpt.2024.147

DO - 10.2166/wpt.2024.147

M3 - Article

JO - Water Practice & Technology

JF - Water Practice & Technology

ER -

In-depth simulation of rainfall–runoff relationships using machine learning methods

Access to Document

Other files and links

Cite this