STATISTICAL ANALYSIS OF ET EXPLANATORY VARIABLES IN CONFLUENCE STATE, LOKOJA, SAVANNAH REGION OF NIGERIA

Authors

  • Otori M. Yahaya Federal University Lokoja
  • E. O. Ogolo
  • S. O. Agele
  • V. O. Ajayi

DOI:

https://doi.org/10.33003/fjs-2024-0803-2468

Keywords:

Climate, Evapotranspiration, Models, Multicollinearity, Heteroscedasticity

Abstract

This observational study investigated trends of Lokoja climate variables relating to evapotranspiration from 1989 to 2019. Studying evapotranspiration in the savannah region of Nigeria is critical for understanding the local climate, water availability, and ecosystem dynamics, and can inform sustainable development and adaptation strategies in the face of climate change. The FAO-56 Penman-Monteith model (P-M) was used to estimate the ET from the ERA5 reanalysis monthly mean temperature, precipitation, wind speed and atmospheric pressure data of Lokoja. Statistically significant explanatory variables were determined using multiple regression analysis, and multicollinearity and heteroscedasticity tests were conducted on the results. Clustered column charts used to visualize the performance of the model revealed that increase in precipitation did not automatically translate to increase in ET. Linear regression of ET against temperature revealed that temperature explains approximately 29% of the variability in ET.  At 95% confidence level and 251 degree of freedom, the R2 (0.98) with standard error 0.11 indicate that the statistical analysis of the ET explanatory variables is robust and reliable, and the model is able to accurately predict the values of the ET. The multiple regression analysis result revealed that a mean daily increase of ET, starting from 0.54mm per day, is affected positively by average wind speed (u) of about 0.31mm/day for every unit increase in wind speed (u) at two meters height, 0.27mm/day for a unit increase in net radiation (Rn), 0.98mm/day for a unit increase in vapour pressure deficit (VPD), but a decrease of 0.01mm/day for every unit increase...

References

Abraham, S., Lin, C. Y., Klein, H. P., Volkmann, C., Tigranyan, R. A., & Vetrova, E. G. (1981). Studies of specific hepatic enzymes involved in the conversion of carbohydrates to lipids in rats exposed to prolonged spaceflight aboard COSMOS-1129. In Gravitational Physiology (pp. 71-77). Pergamon.

Aufrere, M. B., Hoener, B. A., & Vore, M. E. (1977). High-performance liquid-chromatographic assay for nitrofurantoin in plasma and urine. Clinical chemistry, 23(12), 2207-2212.

Balbaied, T. and Moore, E. (2019). Overview of optical and electrochemical alkaline phosphatase (alp) biosensors: recent approaches in cells culture techniques. Biosensors, 9(3), 102

Bargiota, A., & Diamanti-Kandarakis, E. (2012). The effects of old, new and emerging medicines on metabolic aberrations in PCOS. Therapeutic advances in endocrinology and metabolism, 3(1), 27-47.

Benjawatanapon, C., Bell, L., & Williams, L. (1982). Ultrastructural localisation of alkaline phosphatase in adult human large intestine. Gut, 23, 134 - 136.

Chen X., Dai X., Liu Y., Yang Y., Yuan L., He X., and Gong G. (2022). Solanum nigrum Linn.: An Insight into Current Research on Traditional Uses, Phytochemistry, and Pharmacology. Front Pharmacol. 13:918071. doi: 10.3389/fphar.2022.918071. PMID: 36052142; PMCID: PMC9424827.

Chien, Y. J., Chang, C. Y., Wu, M. Y., Chen, C. H., Horng, Y. S., & Wu, H. C. (2021). Effects of curcumin on glycemic control and lipid profile in polycystic ovary syndrome: systematic review with meta-analysis and trial sequential analysis. Nutrients, 13(2), 684.

Elshater, A. E. A., Salman, M. M. A., & Mohamed, S. A. (2013). The hepato-ameliorating effect of Solanum nigrum against CCL4 induced liver toxicity in Albino rats. Egyptian academic journal of biological sciences. C, physiology and molecular biology, 5(1), 59-66.

Gounden V., Bhatt .H and Jialal I. (2023). Renal Function Tests. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2024 Jan-. Available from: https://www.ncbi.nlm.nih.gov/books/NBK507821/

Hamoud, A., Weaver, L., Stec, D. E., & Hinds, T. D. (2018). Bilirubin in the liver–gut signaling axis. Trends in Endocrinology &Amp; Metabolism, 29(3), 140-150.

Isah A. O., Idu M., & Amaechina F. C. (2023). Toxicity Profiles of Methanol Extract of Crossopteryx febrifuga Leaf (Afzel. Ex G. Don) Benth. FUDMA JOURNAL OF SCIENCES, 7(2), 100 - 109. https://doi.org/10.33003/fjs-2023-0702-1391

Published

2024-06-30

How to Cite

Yahaya, O. M., Ogolo, E. O., Agele, S. O., & Ajayi, V. O. (2024). STATISTICAL ANALYSIS OF ET EXPLANATORY VARIABLES IN CONFLUENCE STATE, LOKOJA, SAVANNAH REGION OF NIGERIA. FUDMA JOURNAL OF SCIENCES, 8(3), 67 - 81. https://doi.org/10.33003/fjs-2024-0803-2468