A Quantum Analysis of Atmospheric Dynamics Using Station Experiential Techniques in Ado Ekiti, Southwestern Nigeria
Authors
Department of Mathematical and Physical Sciences, Afe Babalola University, Ado Ekiti, Ekiti State (Nigeria)
Department of Physics and Electronics, Adekunle Ajasin University, Akungba Akoko, Ondo State (Nigeria)
Department of Geology, Afe Babalola University, Ado Ekiti, Ekiti State (Nigeria)
Department of Computer Science, Afe Babalola University, Ado Ekiti, Ekiti State (Nigeria)
Article Information
DOI: 10.51244/IJRSI.2025.12110071
Subject Category: Health Science
Volume/Issue: 12/11 | Page No: 794-800
Publication Timeline
Submitted: 2025-11-21
Accepted: 2025-11-27
Published: 2025-12-09
Abstract
Imetos paranometer was used to measure rainfall precipitation, atmospheric temperature, wind speed, relative humidity, maximum and minimum dew points in the study area with geographical compass of Lat. 7.670N, Long. 5.310E. Data were recorded at every one hour from year 2013 to 2016. In addition, a Thermo-hygrometer was used to record air temperatures and relative humidity to validate the measurements of the paranometer. By involving statistical and time series techniques, the data obtained from the study were fitted into mathematical models of wind chill temperature index, the humidity controlled air temperature index and the heat index to determine the internal body temperature required to better understand the consequences of changing atmospheric temperature on human health.
The study has established that long term good health of humans depends on continued climate stability and that empirical knowledge of health consequences associated with changing atmospheric temperature in tropical climate can be used to predict possible corresponding health implication of people living in the area. The study therefore recommends further research into the subject and continuous enlightenment of the society about climate change dynamics in their locations.
Keywords
Surface heat flux, Atmospheric temperature, Ambient temperature, Time Series Data, Atmospheric dynamics
Downloads
References
1. Epstein, P.R. (1999) .Climate and health Science.Pp 347–348 [Google Scholar] [Crossref]
2. Kilbourne, E.M. (1989) .Heat waves. In: The public health consequences of disasters”.US Department of Health and Human Services, Centres for Disease Control: Pp 51–61. [Google Scholar] [Crossref]
3. Langford, I.H. and Bentham, G. (1995) .The potential effects of climate change on winter mortality in England and Wales”. International Journal of Biometeorology Vol. 38: Pp 141–147. [Google Scholar] [Crossref]
4. McMichael, A.J and Githeko, A.(2001) . Human health.in: Climate Change [Google Scholar] [Crossref]
5. Rooney, C.(1998) .Excess mortality in England and Wales during the 1995 heat- wave.Journal of Epidemiology and Community Health, Pp 482–486. [Google Scholar] [Crossref]
Metrics
Views & Downloads
Similar Articles
- Measuring Waste of Patient Time in Health Care at Non-Digitized Hospital: An Observational Study in Bangabandhu Sheikh Mujib Medical University, Bangladesh
- Reaffirming Clinical Confidence in Atorvastatin Therapy: A Digital Outreach Case Study from Tamil Nadu, India
- Clinical Manifestations and Therapeutic Response in a Patient with Hypothyroidism: A Case Report
- Eranda (Ricinus Communis) In Gridhrasi (Sciatica): Classical Rationale, Pharmacology and Clinical Evidence- A Narrative Literature Review
- Magnetotherapy in Pain Management: Mechanisms, Clinical Applications, and Future Perspectives – A Review