Abstract :

In Recent Years, Numerous Countries Have Continued To Experience The Impact Of Floods And Related Disasters.Individuals Residing In Low-lying Areas And Those Living Near Water Bodies Such As Lakes, Dams, Rivers, And Otherreservoirs Are Particularly Vulnerable To Flooding Each Year. This Vulnerability Is Largely Attributable To InadequatePlanning In The Construction Of Buildings And Other Public Infrastructure, Such As Proper Sewage And Drainage Systems. While There Are Various Factors That Contribute To The Occurrence Of Floods, These Two Issues Are Among The Most Significant, As Floods Often Result From Heavy Rainfall. Moreover, In The Current Context, Even Moderate Rainfall Can Lead To Flooding Due To The Lack Of Adequate Space For Rainwater To Drain Or Reach Coastal Areas. This Study Aims To Identify Regions That May Suffer Damage From Flooding.Additionally, It Provides Information To Assess Whether A Specific Area Is At Risk Of Floodrelated Damage. Keywords:Examination Of Inundated Regions, Flood Prediction, Flood Risk, Deep Learning

Published:

23-7-2025

Issue:

Vol. 25 No. 7 (2025)

Page Nos:

799 - 804

Section:

Articles

License:

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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