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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM51717
Volume:
9 |
8 |
Aug 2025
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.
This study analyses long-term rainfall distribution and trends in Chiplun, a flood-prone town in Maharashtra’s Konkan region, using monthly data from 1980 to 2023. The objective is to examine temporal variability, seasonal patterns, and significant rainfall shifts over four decades. Monthly and annual rainfall data were processed using statistical and graphical methods to identify key trends, extreme events, and climatic fluctuations. The analysis reveals that monsoon months, particularly July and August, contribute the highest rainfall. While the annual rainfall shows fluctuations, recent years exhibit increasing variability and instances of intense rainfall. Such patterns are critical in understanding flood risks, water resource planning, and the impact of changing climate conditions in the region. This comprehensive assessment provides a valuable reference for regional authorities and researchers focused on climate adaptation and disaster preparedness in Chiplun and similar coastal areas.
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Publication Date
7/7/2025
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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