Precipitation Trend Analysis of Highland, India
Anila Arelt1, Shivakumar J Nyamathi2
1Anila Arelt, Department of Civil Engineering, University Visvesvaraya College of Engineering, Bangalore University, Bangalore (Karnataka), India.
2Dr. Shivakumar J Nyamati, Department of Civil Engineering, University Visvesvaraya College of Engineering, Bangalore University, Bangalore (Karnataka), India.
Manuscript received on 24 February 2024 | Revised Manuscript received on 05 March 2024 | Manuscript Accepted on 15 May 2024 | Manuscript published on 30 May 2024 | PP: 1-7 | Volume-4 Issue-1, May 2024 | Retrieval Number: 100.1/ijee.A184904010524 | DOI: 10.54105/ijee.A1849.04010524
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© The Authors. Published by Lattice Science Publication (LSP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Highland regions often rely heavily on agriculture for livelihoods. Rainfall (including snowfall) trends can directly impact crop yields and agricultural productivity. Monitoring rainfall trends aid in assessing the impacts of climate change on biodiversity, habitat suitability, and ecosystem services. Highland regions are particularly vulnerable to climate change impacts. Analyzing long-term rainfall trends provides valuable insights into climate change patterns and helps in formulating adaptation strategies to cope with changing environmental conditions. This study is based on the long-term rainfall analysis using a novel method called the 5-year lag method. The analysis has been carried out annually and the four seasons- January and February (winter/cold weather season), March, April, and May (Pre-monsoon/summer/hot weather/thunderstorm season), June, July, August and September (South-west monsoon/summer monsoon season), October, November and December (Post-monsoon/north-east monsoon/retreating south-west monsoon season).
Keywords: 5-Year Lag Method, Annual Rainfall Analysis, Seasonal Rainfall Analysis.
Article of the Scope: Agriculture and Fisheries