Prediction of meteorological drought and standardized precipitation index based on the random forest (RF), random tree (RT), and Gaussian process regression (GPR) models-Reference-Cited by-同舟云学术

Prediction of meteorological drought and standardized precipitation index based on the random forest (RF), random tree (RT), and Gaussian process regression (GPR) models

Published:2023-01-17 Issue:15 Volume:30 Page:43183-43202
ISSN:1614-7499
Container-title:Environmental Science and Pollution Research
language:en
Short-container-title:Environ Sci Pollut Res

Author:

Elbeltagi Ahmed^ORCID,Pande Chaitanya B.,Kumar Manish,Tolche Abebe Debele^ORCID,Singh Sudhir Kumar^ORCID,Kumar Akshay,Vishwakarma Dinesh Kumar^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Health, Toxicology and Mutagenesis,Pollution,Environmental Chemistry,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s11356-023-25221-3.pdf

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3. Alizamir M, Kisi O, Ahmed AN et al (2020) Advanced machine learning model for better prediction accuracy of soil temperature at different depths. PLoS One 15:e0231055. https://doi.org/10.1371/journal.pone.0231055

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5. Al-Mukhtar M (2021) Modeling the monthly pan evaporation rates using artificial intelligence methods: a case study in Iraq. Environ Earth Sci 80:39. https://doi.org/10.1007/s12665-020-09337-0

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