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Hydrology: Current Research

ISSN: 2157-7587

Open Access

Megan Faramarzi

Department of Energy and Power Engineering, Princeton University, Princeton, NJ 08544, USA

Publications
  • Mini Review   
    Innovations in Hydrological Modeling for Predicting Flood Risk
    Author(s): Megan Faramarzi*

    Flood risk prediction is a critical aspect of managing water resources and ensuring public safety. Advances in hydrological modeling have significantly enhanced our ability to predict and mitigate flood risk. This article reviews recent innovations in hydrological modeling techniques, including the integration of remote sensing data, machine learning algorithms and real-time monitoring systems. It examines how these innovations improve the accuracy of flood predictions, facilitates better flood risk management and explores future directions in hydrological modeling research... Read More»
    DOI: 10.37421/2157-7587.2024.15.521

    Abstract HTML PDF

Google Scholar citation report
Citations: 2843

Hydrology: Current Research received 2843 citations as per Google Scholar report

Hydrology: Current Research peer review process verified at publons

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