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Rainfall Modeling using a Machine Learning Approach as Support for the Early Warning System for Flood Disasters in Malang Regency, Indonesia

Year: 2024

Type: article

Source: International Journal of Agricultural and Statistical Sciences

DOI: 10.59467/ijass.2024.20.373

Authors: Eni Sumarminingsih, Suci Astutik, Nur Silviyah Rahmi, Aqsa Yudhistira Redi, Natasha Aulia

Language: English

Topic: Hydrological Forecasting Using AI

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

SDGs: Climate action, Industry, innovation and infrastructure, Clean water and sanitation, Sustainable cities and communities

Open Access status: closed

OpenAlex ID: W4405162178

FWCI:

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