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Multidecadal trends in Ikogosi Temperature and Rainfall to Climate change

Abodunrin, T.J and Emetere, Moses (2021) Multidecadal trends in Ikogosi Temperature and Rainfall to Climate change. In: International Conference on Energy and Sustainable Environment, 2021, Online.

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Ikogosi is located in a humid rainforest typical in its virtually uniform temperature through the year averaging 21°C to 28°C. Thirty-eight years temperature and precipitation data on Ikogosi, reveals a deviation in this erstwhile norm and portends a trend that on short-term and regional variations predict a more extreme warm climate. In contrast to previous ones, the fifth IPCC report emphasizes on the socio-economic facets of climate change. It also discusses on its dual role in sustainability and risk management, it dwells on reducing greenhouse gases and adaptation approaches to climate change. In view of this impending change, precipitation and temperature are vital climatic constraints which should be investigated for deviations that could adversely affect agriculture, architecture, societal and urban planning. Also, since a warming atmosphere is allied with substantial precipitation, all human based activities either directly or indirectly trigger greenhouse gas emissions and high precipitation. This explores the most prominent of these greenhouse gases, CO2 which warms the atmosphere as its volume increases in the atmosphere. In effect, the degree of future global warming will be a function of how much more volume of CO2 humankind emits. Although current CO2-induced warming of Earth is essentially irreversible on human timescales, weather researches to obtain scientific information, is very relevant. This is a dynamic prerequisite for society to make informed decisions on mitigation, adaptation, and other ways to tackle climate change. Thus, this study seeks to analyse the measure of observed climatic changes in Ikogosi. This is in order to promote the application of this study model to similar geographical locations. The potential energy available for certain extreme weather events has been analysed with existing theoretical explanations, ORIGIN software program and statistical regression analysis.

Item Type: Conference or Workshop Item (Paper)
Subjects: Q Science > QC Physics
Divisions: Faculty of Engineering, Science and Mathematics > School of Engineering Sciences
Depositing User: Mrs Patricia Nwokealisi
Date Deposited: 13 Sep 2021 13:43
Last Modified: 13 Sep 2021 13:43

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