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Trend Analysis of Temperature Over Ernakulam District of Kerala
Climate change has become a global concern due to its impact on various aspects of life. Human activities have contributed to global warming and significant climate changes, leading to extreme precipitation and temperature changes that cause devastating floods and landslides. This article focuses on analyzing the trend of maximum and minimum temperatures in the Ernakulam district of Kerala. The study uses daily temperature gridded data (1° × 1°) from the Indian Meteorological Department (IMD) spanning over 72 years (1951–2022). Here, Mann–Kendall test has been used to analyze the trend and is done using ‘R Studio’. The trends for the first 36 years (1951–1987) and the subsequent 36 years (1987–2022) have been compared. The results show a statistically significant increasing trend for maximum temperature in all four grids of the study area, as the computed p-values are lower than 0.05, leading to the rejection of the null hypothesis whereas minimum temperature shows a decreasing trend in the beginning and an increasing trend towards the end of the study period. The increasing trend of maximum and minimum temperature due to climate change and other factors can lead to weather extremes. Comparing the temperature data from the first 36 years to the subsequent 36 years can reveal important trends and patterns in climate change. This gives us an insight on direction and magnitude of climate change. Comparing temperature data from different time periods provides valuable insights into long-term trends and impacts of climate change, helping policymakers, scientists and communities make informed decisions about mitigation and adaptation measures.
Trend Analysis of Temperature Over Ernakulam District of Kerala
Climate change has become a global concern due to its impact on various aspects of life. Human activities have contributed to global warming and significant climate changes, leading to extreme precipitation and temperature changes that cause devastating floods and landslides. This article focuses on analyzing the trend of maximum and minimum temperatures in the Ernakulam district of Kerala. The study uses daily temperature gridded data (1° × 1°) from the Indian Meteorological Department (IMD) spanning over 72 years (1951–2022). Here, Mann–Kendall test has been used to analyze the trend and is done using ‘R Studio’. The trends for the first 36 years (1951–1987) and the subsequent 36 years (1987–2022) have been compared. The results show a statistically significant increasing trend for maximum temperature in all four grids of the study area, as the computed p-values are lower than 0.05, leading to the rejection of the null hypothesis whereas minimum temperature shows a decreasing trend in the beginning and an increasing trend towards the end of the study period. The increasing trend of maximum and minimum temperature due to climate change and other factors can lead to weather extremes. Comparing the temperature data from the first 36 years to the subsequent 36 years can reveal important trends and patterns in climate change. This gives us an insight on direction and magnitude of climate change. Comparing temperature data from different time periods provides valuable insights into long-term trends and impacts of climate change, helping policymakers, scientists and communities make informed decisions about mitigation and adaptation measures.
Trend Analysis of Temperature Over Ernakulam District of Kerala
Lecture Notes in Civil Engineering
Nehdi, Moncef (editor) / Rahman, Rahimi A. (editor) / Davis, Robin P. (editor) / Antony, Jiji (editor) / Kavitha, P. E. (editor) / Jawahar Saud, S. (editor) / Krishnapriya, K. B. (author) / Issac, Ashly Sara (author) / Eldose, Mariya (author) / Uday, Riya (author)
International Conference on Structural Engineering and Construction Management ; 2024 ; Angamaly, India
2024-12-29
8 pages
Article/Chapter (Book)
Electronic Resource
English
Contextual Analysis on Antenatal and Postnatal Effects of 2018 Flood in Ernakulam, Kerala
Springer Verlag | 2021
|Engineering Index Backfile | 1965
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