Work

A two-stage multi-step-ahead Gated-Recurrent-Unit-based method with the use of sewer level data for improving real-time forecasting of inundation depth

Year: 2025

Type: article

Source: Journal of Hydrology

DOI: 10.1016/j.jhydrol.2025.133230

Authors: Song-Yue Yang, You-Da Jhong, Bing-Chen Jhong, Ling Fan-Chiang, Ming-Chang Tsai

Institutions: Feng Chia University, National Sun Yat-sen University

Language: English

Topic: Hydrological Forecasting Using AI

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

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

Open Access status: closed

Funders: National Science and Technology Council, Department of Water Resources

Awards: Research on Real-Time Dynamic Inundation Risk Assessment during Typhoons and Intelligent Low-Carbon Adaptation Strategy Pathways, Constructing Urban Smart Flood Prevention: a Flood Forecasting System Based on Seq2seq and Transformer Models

OpenAlex ID: W4409199030

FWCI: 1.163

Cites: 41

Cited by: 5

Related to: 10