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Comparative Analysis of Muskingum Routing: Traditional vs. AI-Assisted Methods

Year: 2024

Type: article

Abstract: In this assignment, students will apply traditional and AI-assisted Muskingum routing methods to real-world discharge data from the USGS over a 10-day period. The goal is to compare these approaches, enhancing skills in hydrological modeling and data analysis crucial for water resources engineering.

Source: UND Scholarly Commons (University of North Dakota)

Author: Atashi, Vida

Language: English

Topic: Hydrological Forecasting Using AI

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7018041538

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