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

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

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

Afiliação

Elbeltagi A; Agricultural Engineering Department, Faculty of Agriculture, Mansoura University, Mansoura, 35516, Egypt.
Pande CB; Indian Institute of Tropical Meteorology, Pune, India.
Kumar M; Universiti Tenaga Nasional (UNITEN), Kajang, Malaysia.
Tolche AD; College of Agricultural Engineering and Technology, Dr. R.P.C.A.U, Pusa-Bihar, 848125, India.
Singh SK; Haramaya Institute of Technology, School of Water Resources and Environmental Engineering, Haramaya University, P.O. Box 138, Dire Dawa, Ethiopia.
Kumar A; K. Banerjee Centre of Atmospheric and Ocean Studies, IIDS, Nehru Science Centre, University of Allahabad, 211002, Prayagraj, India.
Vishwakarma DK; Environmental Science and Engineering and Department (ESED), Indian Institute of Technology, Bombay, Maharashtra, India.

Environ Sci Pollut Res Int ; 30(15): 43183-43202, 2023 Mar.

Article em En | MEDLINE | ID: mdl-36648725

Assuntos

Secas; Algoritmo Florestas Aleatórias; Ecossistema; Índia; Algoritmos

Palavras-chave

Drought; Machine learning; Random forest (RF); Standardized precipitation index (SPI)

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Secas / Algoritmo Florestas Aleatórias Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Secas / Algoritmo Florestas Aleatórias Idioma: En Ano de publicação: 2023 Tipo de documento: Article