Enhancing 2D hydrodynamic flood models through machine learning and urban drainage integration

JOURNAL ARTICLE

Year: 2025 Journal: Journal of Hydrology Vol: 659 Pages: 133258-133258 Publisher: Elsevier BV

DOI: 10.1016/j.jhydrol.2025.133258

Keywords:

Flood myth Drainage Hydrology (agriculture) Environmental science Geology Computer science Geotechnical engineering Geography Ecology Archaeology

Metrics

Cited By

15.59

FWCI (Field Weighted Citation Impact)

Refs

0.97

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Flood Risk Assessment and Management

Physical Sciences → Environmental Science → Global and Planetary Change

Hydrological Forecasting Using AI

Physical Sciences → Environmental Science → Environmental Engineering

Hydrology and Watershed Management Studies

Physical Sciences → Environmental Science → Water Science and Technology