Examining patterns in rainfall and temperature data within the Malaprabha Right Bank Canal Command Area (MRBC) using statistical techniques such as the Mann-Kendall test and Sen's Slope Estimator

Author:

Srini Madhusudhan Mandya1,Shivapur Anand V1,J Surendra H1

Affiliation:

1. Visvesvaraya Technological University

Abstract

Abstract

Examining the presence of climate change through trend analysis of rainfall and temperature variables has gained recognition due to their significant implications. The pressing global issue of escalating temperatures coupled with unpredictable, diminishing rainfall is particularly critical, especially in regions heavily reliant on rain-fed agriculture. This study focuses on the Malaprabha Canal Command Area (MRBC) and aims to assess dynamic changes in meteorological variables, offering valuable insights for effective adaptation strategies. The investigation spans a comprehensive analysis of long-term climatic data, specifically a 30-year period from 1991 to 2020. Rainfall trends across six stations within the entire Malaprabha right bank canal command area are explored on a monthly, seasonal, and annual basis. Additionally, the study scrutinizes maximum and minimum temperature trends from 2000 to 2019 at seven selected stations in and around MRBC. The analytical approach involves the application of the Mann-Kendall test and Sen’s slope estimates, maintaining a significance level of 5%. Results from the detailed trend analysis of MRBC indicate the absence of a significant trend at the 95% confidence level in the region. However, the study identifies both increasing and decreasing trends in annual rainfall at selected stations. Furthermore, no significant trend emerges in the temperature data for annual series throughout MRBC. Notably, a significant negative trend is observed during pre-monsoon and post-monsoon periods, while a significant positive trend is identified at the Ron station. These findings contribute valuable information for understanding the climatic dynamics in MRBC and serve as a basis for formulating informed strategies to address climate-induced challenges.

Publisher

Springer Science and Business Media LLC

Reference25 articles.

1. Trend Analysis of Rainfall, Temperature and Runoff Data: A case study of Rangoon watershed in Nepal;Pal AB;Int J Students Res Technol Manage,2017

2. Spatio-temporal analysis of rainfall trends over a maritime state (Kerala) of India during the last 100 years;Archana Nair K;Article Atmospheric Environ,2014

3. Some evidence of climate change in twentieth-century India;Dash SK;Clim Change,2007

4. Rainfall Trend Analysis and Adaptation Strategies to manage Climate Induced crisis in Coastal Zone of Karnataka, India;Vinaya Kumar HM;J Sci Res Rep,2017

5. Hans Von Storch & Antonio Navarra (1995) Analysis of Climate Variability— Applications of Statistical Techniques. Springer, New York

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3