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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM56544
Volume:
10 |
2 |
Feb 2026
Pages:
Publication Frequency:
Monthly (12 issues per year)
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.
Successful disaster management and early warning are essential in reducing the effects of natural and human-induced hazards. Advances in real-time monitoring, data analysis, and communication technologies have greatly enhanced the forecast, detection, and response to disasters. This review paper presents a critical evaluation of contemporary methods, such as, geospatial analysis, and artificial intelligence-based prediction models. It also brings to light the shortcomings of current systems and delves into possibilities of building better real-time decision-making, timely warnings, and synchronized response strategies, leading the way for more adaptive and anticipatory disaster management solutions.
KEYWORDS
Publication Date
12/1/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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