Work

Performance of data-driven models based on seasonal-trend decomposition for streamflow forecasting in different climate regions of Türkiye

Year: 2024

Type: article

Source: Physics and Chemistry of the Earth Parts A/B/C

DOI: 10.1016/j.pce.2024.103696

Authors: Volkan Yilmaz, Cihangir Koycegiz, Meral Buyukyildiz

Institution: Konya Technical University

Language: English

Topic: Hydrological Forecasting Using AI

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

SDGs: Clean water and sanitation, Climate action

Open Access status: closed

OpenAlex ID: W4401419309

FWCI: 0.632

Cites: 71

Cited by: 6

Related to: 10