Work

River flow rate prediction in the Des Moines watershed (Iowa, USA): a machine learning approach

Year: 2022

Type: article

Source: Stochastic Environmental Research and Risk Assessment

DOI: 10.1007/s00477-022-02228-9

Authors: Ahmed Elbeltagi, Fabio Di Nunno, Nand Lal Kushwaha, Giovanni de Marinis, Francesco Granata

Institutions: Mansoura University, Università degli studi di Cassino e del Lazio Meridionale, Indian Agricultural Research Institute

Language: English

Topic: Hydrological Forecasting Using AI

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

SDG: Clean water and sanitation

Open Access status: closed

OpenAlex ID: W4224869643

FWCI: 2.837

Cites: 51

Cited by: 43

Related to: 10