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  4. Investigatory analysis of the natural hazards on the Indian coastline

Investigatory analysis of the natural hazards on the Indian coastline

MMC.
2024;
Volume 11, Number 3
: pp. 720–729
https://doi.org/10.23939/mmc2024.03.720
Received: March 10, 2023
Revised: September 20, 2024
Accepted: September 21, 2024

Agrawal M., Manickam A., Deokate A., Nagrale P., Gharote S., Ojha A.  Investigatory analysis of the natural hazards on the Indian coastline.  Mathematical Modeling and Computing. Vol. 11, No. 3, pp. 720–729 (2024)

Authors:
  1. M. Agrawal
  2. A. Manickam
  3. A. Deokate
  4. P. Nagrale
  5. S. Gharote
  6. A. Ojha
1
Mathematics Division, School of Advanced Sciences and Languages, VIT Bhopal University
2
School of Sciences, Division of Mathematics, SRM Institute of Science and Technology
3
School of Computing Science and Engineering, VIT Bhopal University
4
Savitribai Phule Pune University Public, Maharashtra
5
Savitribai Phule Pune University Public, Maharashtra
6
School of Computing Science and Engineering, VIT Bhopal University

Predictive analysis, comparative analysis, and image processing can provide vital insights into understanding natural phenomena.  Water bodies surround India on three sides, so natural disasters (cyclones, floods, and other related hazards) and rising water levels due to meteorological fluctuations are common occurrences.  The coastal states of India, due to their diverse nature, are constantly exposed to various risks. The study focuses on the changes and disasters in the Indian Ocean surrounding the Indian shorelines.  A systematic approach has been employed to examine the fluctuations in meteorological factors of nine Indian coastal states for the period of 2001–2021.  The fluctuations were computed for four meteorological seasons Summer (March–May), Monsoon (June–September), Post-monsoon (October–November), and Winter (December–February).  These fluctuations are studied, and trends are put forward to examine their effects on natural disasters.  The results of the study focus on the correlations between the factors and disasters and their respective predictions.

image processing
predictive analysis
comparative analysis
meteorological factors
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