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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM38587

River Flood Forecast: Predicting the Reach of Inundation

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM38587

Volume:

8 |

11 |

Nov 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

MSK

Mr. Salim Khan

SM

Shubham Muthal

SP

Sneha Palde

PR

Priti Rumane

GW

Gauri Walve

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Abstract

River flood forecasting is essential for minimizing the impacts of flooding on communities, infrastructure, and ecosystems. Accurately predicting the extent of flood inundation requires the integration of hydrological and hydraulic models, real-time weather and river data, and advanced mapping techniques. Hydrological models estimate river flow based on rainfall and watershed characteristics, while hydraulic models simulate the flow of water through river channels and floodplains. The reach of inundation is determined by calculating water levels and mapping areas at risk of flooding. Advanced technologies such as Geographic Information Systems (GIS), remote sensing, and real-time flood monitoring systems enhance forecasting accuracy and support emergency response planning. Despite the progress in forecasting capabilities, challenges remain due to uncertainties in weather patterns, data availability, and the complex nature of flood dynamics. Ongoing advancements in forecasting models and data integration are key to improving the accuracy and timeliness of flood predictions, ultimately helping to reduce flood risks and guide effective disaster management strategies.

KEYWORDS

Disaster management Flood inundation extent Weather forecasting Remote sensing.

Cite This Article

Mr. Salim Khan, Shubham Muthal, Sneha Palde, Priti Rumane, Gauri Walve, "River Flood Forecast: Predicting the Reach of Inundation," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 11, Nov 2024.

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Publication Date

11/10/2024

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Double-Blind Peer Review

Review Rounds: 2

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4

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5

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The authors declare no conflict of interest related to this research work.

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