International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 11 Issue: 06 | Jun 2024
p-ISSN: 2395-0072
www.irjet.net
TEMPERATURE AND RELATIVE HUMIDITY ANALYSIS OF MYSURU Diya Sundar1, Yashaswini K1, Parimal Kumar K R2 1Student, Department Of Masters Of Computer Application, Vidya Vikas Institute Of Engineering & Technology
Mysore, Mysuru, Karnataka, India. 2Assistant Professor, Department Of Masters Of Computer Application, Vidya Vikas Institute Of Engineering &
Technology Mysore, Mysuru, Karnataka, India. ---------------------------------------------------------------------***--------------------------------------------------------------------temperature and humidity variations that precede significant rainfall events in the region.
Abstract - Understanding the relationship between relative humidity, temperature, and rainfall patterns is essential for effective climate analysis and prediction in Mysuru, a region characterized by its subtropical climate. This study aims to investigate the intricate interplay between these meteorological variables and their influence on rain patterns in Mysuru.
The findings of this analysis hold significant implications for various sectors, including agriculture, urban planning, and disaster preparedness. Accurate rainfall predictions can aid farmers in crop planning and irrigation scheduling, help urban planners manage drainage systems and flood risk, and enable authorities to implement timely measures for mitigating the impact of extreme weather events.
Utilizing historical data sourced from meteorological stations and agencies, we conducted a comprehensive analysis of temperature, relative humidity, and rainfall records spanning multiple years. The dataset was subjected to rigorous preprocessing techniques to ensure data quality and consistency.
In the subsequent sections of this study, we will discuss the methodology employed for data collection and analysis, present the results of our findings.
1.1 Aim
Our analysis revealed significant correlations between relative humidity, temperature, and rainfall in Mysuru. We observed that higher relative humidity levels, coupled with lower temperatures, were associated with increased likelihoods of rainfall occurrences. Conversely, periods of low relative humidity and high temperatures corresponded to drier conditions with reduced rainfall activity.
Utilizing advanced meteorological models, our aim is to analyze temperature and relative humidity data for Mysuru region. By correlating these variables with historical rainfall patterns, we seek to develop a predictive model for rainfall occurrences in the area. Through meticulous data analysis and machine learning algorithms, we aim to forecast rainfall with increased accuracy, aiding local authorities and residents in preparedness and planning. This endeavor is crucial for enhancing early warning systems and mitigating potential risks associated with varying precipitation levels in Mysuru. Ultimately, our goal is to contribute to more effective water resource management and sustainable development practices in the region.
Key Words: Temperature, Relative Humidity, Rainfall pattern 1. INTRODUCTION Mysuru, a city nestled in the southern region of India, experiences a diverse climate characterized by distinct seasons. The monsoon season, typically from June to September, brings the majority of the city's annual rainfall. Understanding the intricate relationship between temperature, relative humidity, and rainfall patterns is crucial for effective weather prediction and water resource management in Mysuru.
1.2 Objective Sample To collect daily data on temperature and relative humidity in Mysuru for the year 2023 and analyze the relationship between relative humidity and temperature, identifying conditions of high and low temperature based on relative humidity levels.Ensure the systematic collection of daily data throughout the year 2023, covering different seasons and climatic variations.
Temperature and relative humidity are fundamental meteorological variables influencing atmospheric dynamics and precipitation processes. In this analysis, we delve into the historical data of temperature and relative humidity to develop a predictive model for rainfall in Mysuru.
By examining the patterns and fluctuations in temperature and relative humidity data over time, we aim to uncover correlations and trends that can provide insights into the onset, intensity, and duration of rainfall events. Additionally, we seek to identify potential leading indicators in
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Conduct thorough quality checks and validation procedures to ensure the reliability and consistency of the collected data. Utilize statistical analysis techniques to examine the correlation between relative humidity and temperature, identifying patterns and trends.
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