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Analysis of Temperature and Humidity Dynamics and Its Implication on Human Comfort and Agricultural Production in Yola and Environs

Sulaiman Umar Bello, Abdulqadir Abubakar Sadiq and, Umar Ibrahim

Abstract

The study saddled to analyze temperature and humidity dynamics and its implication on human comfort and agricultural production in Yola and environs. Climatic data of temperature and humidity for the period of 36 years from 1982-2017 were obtained from Upper Benue River Basin Authority , Yola. The data will be analyzed using Temperature-Humidity Index and Wind Chill Index respectively. The obtained data will be subjected to descriptive analysis. The results revealed that the Temperature-humidity Index results revealed that out of the 36years of studied durations only two years (1992 and 2001) were found as 100% are not comfortable for human and agriculture in the area having THI mean values of 88.45-90.11 %. . Similarly, 1991 and 1994 were rated as 50% are not comfortable due to hot and humid weather having mean values of 75.98-79.54 % which represents 5.55 % only of the 36 years under study. In addition, 100% are quite comfortable on human and agriculture in the area which are found in 14 years which represents 38.88 % of the studied years with mean values varied from 64.05-73.16 %. Meanwhile, 15 years out of the 36 years were rated as 50% are partially comfortable on human and agriculture in the area having ranged mean values of 61.34-64.95 % which constituted highest percent of 41.66 % of the years under investigation. Furthermore, only 3 years (1996, 1997 and 1999) which represents 8.33 % rated as Almost 100% are comfortable due to cold and dry weather on human and agriculture in the area having mean values ranged from 56.08-59.07 %. Wind-Chill Index revealed that that 5 years which represents 13.88 % of the 36 years of the study were rated as “Cool” based on human/animal and plant feeling with mean values ranged from 238.28- 413.46 %. Furthermore, 20 years which formed 55.55 % were rated as “Very cool” based on human/animal and plant feeling with mean values ranged from 527.64-598.89 %. Meanwhile, 11 years were rated as “Cold” having mean value varied from 605.55-697.45 %. Therefore, the area has no adverse effects of both human and agriculture based on the results obtained. However, there needs for sensitization on the use of environmental protection practices in the area with aim of reducing heat stress and global warming ravaging the region.

Keywords

HumidityHumanAgriculturalTemperature and Yola

References

Adedapo, A. (2020). Trend Analysis of Temperature And Humidity In Kwara State, Nigeria. Journal of Environmental Geography 13 (3–4), 44–50. DOI: 10.2478/jengeo-2020- 0011 ISSN 2060-467X Adeniyi, M. O. (2009). Determination of Heat Stress Index in The Tropical Urban Area Of Ibadan, Southwest Nigeria. International Journal of Natural and Applied Sciences, 5(3): 235-243. Ahens, D.C (2009) Meteorology Today: An Introduction to Weather, Climate and the Environment Nineth Edition, Brooks/Cole, Cengage learning, U.S.A Aluko, T. O, Nymphas, E.F, Bolaji, O. A And Odubanjo, O.F. (2019). Meteorological Comfort Indices to Assess Extreme Warmness in Southwest, Nigeria. EJERS, European Journal of Engineering Research and Science Vol. 4, No. 2, February 2019. Building Nigeria’s Response to Climate Change , 2008: 2008 Annual Workshop of Nigerian Environmental Study Team : The Recent Global and Local Action on Climate Change, held at Hotel Millennium, Abuja, Nigeria; 8-9th October, 2008. Delworth, T. L., Mahlman. J. D., and Knutson. T. R (1999) Changes in heat index associated with CO2-indused global warming. Kluwer Academic publishers Netherland, 369-386. Hansen, J., Sato, M., Ruedy, R. 2012. Perception of Climate Change. Proceedings of the National Academy of Sciences 109 (37), E2415-E2423. DOI: 10.1073/pnas.1205276109 https://epic.awi.de/id/eprint/37530/1/IPCC_AR5_SYR_Final.pdf Intergovernmental Panel on Climate Change , (2007): Climate Change 2007: Impacts, Adaptation, and Vulnerability. Contribution of Working Group II to the Third Assessment Report of the Intergovernmental Panel on Climate Change [Parry, Martin L., Canziani, Osvaldo F., Palutikof, Jean P., van der Linden, Paul J., and Hanson, Clair E. (eds.)]. Cambridge University Press, Cambridge, United Kingdom, 1000 pp. Intergovernmental Panel on Climate Change , (2014). Climate Change 2014: Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the IPCC, 2014. Summary for Policymakers In. Climate Change 2013 – The Physical Science Basis. Contribution of Working Group I to the fifth Assessment Report of the International Panel on Climate Change, Cambridge University Press, Cambridge, 1–30. DOI: 10.1017/CBO9781107415324.004 Kibler , H. H. (1964). Thermal effects of various temperature- humidity combinations on Holstein cattle as measured by eight physiological responses. Missouri Agricultural Experiment, Exp. Stn Res. Bull. 862, Mt Vernon. Environmental physiology and Shelter Engineering, LXVII Musari A.A., M.A. Ajayi2, O.A Abatan (2014). Discomfort Indices in North Eastern Nigeria. IOSR Journal of Applied Physics (IOSR-JAP) e-ISSN: 2278-4861.Volume 6, Issue 4 Ver. II (Jul-Aug. 2014), PP 35-41 www.iosrjournals.org www.iosrjournals.org 35 | Page. National population commission of Nigeria, N.P.C. (2006) Humanpopulation and housing figures, YolaOfficial Gazette, Vol. 94. http//www.population gov.ng Nzeh , E.C.. Uke P.C,. Attamah, N Nzeh , D.C, and Agu, O(2016). Climate Change and Agricultural Production in Nigeria: A Review of Status, Causes and Consequences. Nigerian Agricultural Policy Research Journal. Volume 1, Issue 1, 2016. http://aprnetworkng.org NOAA (1976). Livestock hot weather stress. Kansas City, M.O OpenMan Lett C- 31-76. Orindi V., Ochieng A., Otiende B., Bhadwal S., Anantram K., Nair S., Kumar V. and Kelkar U. (2006). in Thornton PK, Jones P G, Owiyo T, Kruska R L, Herrero M, Kristjanson P, Notenbaert A, Bekele N and Omolo A. Mapping climate vulnerability and poverty in Africa. Report to the Department for International Development, ILRI, Nairobi, Kenya. Rosenzweig, C., & Parry, M.L., (1994). Potential impacts of climate change on World Food Supply.133-138. Stige, L. C., J. Stave, K. Chan,. 2006. The effect of climate variation on agro-pastoral production in Africa. Proceedings of the National Academy of Sciences 103: 3049–3053. Stefan R, (2005). Anthropogenic climate change: revisiting the facts, History, vol. 140, no. 6, pp. 34–53 Tank A. M. G. K, Zwiers F. W, and Zhang X, (2009) Guidelines on Analysis of extremes in a changing climate in support of informed decisions for adaptation,” Climate Data and Monitoring, vol. 52, WCDMP-No. 72 Webster, P.J.; Holland, G.J.; Curry, J.A.; Chang, H.R. Changes in Tropical Cyclone Number, Duration, and Intensity in a Warming Environment. Science 2005, 309, 1844–1846 Wolfe DW, MD Schwartz, AN Lakso, Y Otsuki, RM Pool, NJ Shaulis. 2005. Climate changeand shifts in spring phenology of three horticultural woody perennials in northeastern USA. Internat J Biometeorol 49:303-309. Meteorological Organization, Geneva.

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