Work

Improving disaster resilience with causal machine learning for flood damage estimation

Year: 2025

Type: article

Source: The Science of The Total Environment

DOI: 10.1016/j.scitotenv.2025.180121

Authors: Mujungu L. Museru, Rouzbeh Nazari, Mohammad Reza Nikoo, Maryam Karimi

Institutions: University of Memphis, Sultan Qaboos University

Language: English

Topic: Flood Risk Assessment and Management

Subfield: Global and Planetary Change

Field: Environmental Science

Domain: Physical Sciences

SDG: Climate action

Open Access status: closed

OpenAlex ID: W4412643836

FWCI: 10.51

Cites: 73

Cited by: 25

Related to: 10