Comparative Analysis and Performance of Empirical Radiation Models for Estimating Crop Water Requirement in Semi – Arid Region of Northern Environment of Nigeria
DOI:
https://doi.org/10.62292/njtep.v3i2.2025.69Keywords:
Comparative analysis, Empirical models, Statistical models, Agricultural field, Semi-arid region, NigeriaAbstract
Water's pivotal role in urban planning and hydrological development is crucial for sustainable progress and fostering a green economy. With 97% of the Earth's surface covered by water, its proper utilization in domestic, industrial, and agricultural sectors is paramount. The study is aimed at determining the comparative analysis and performance of empirical radiation models for estimating crop water requirement in semi – arid region of northern environment of NigeriaIn a recent study, the comparison of empirical radiation equations with the Food and Agricultural Organization's Penman-Monteith 56 model, renowned for its efficacy in modeling reference evapotranspiration across various climatic zones, revealed insightful findings. The analysis highlighted the efficacy of empirical models in estimating reference evapotranspiration in semi-arid and arid regions. Notably, in the comparison between the FAO 56 PM model and newer models, such as the Stephen-Stewart (S-S) and the new ETo model, significant differences in performance were observed. For instance, in Kukawa, the R² coefficient was 31.98% for the FAO 56 PM model compared to 99.96% for the S-S and new ETo models. Similarly, the comparison yielded R² values of 31.98% and 98.46%, respectively, against the new model. In Jada, the comparison showcased varying levels of success with different models. The FAO 56 PM model achieved a success rate of 51.3%, while the S-S model scored 99.99% in comparison. Additionally Caprio models demonstrated R² values of 81.41% and 99.74%, respectively, against the new model. These findings underscore the importance of selecting appropriate models for estimating reference evapotranspiration, especially in arid and semi-arid regions, to enhance the accuracy of hydrological assessments and urban planning initiatives.
References
Antonopoulos, V. Z. and Antonopoulos, A. V. (2018). Evaluation of different methods to estimate monthly reference evapotranspiration in a Mediterranean area. Water utility Journal 18; 61 – 77 © 2018 E. W. Publications
Boretti A, Rosa L (2019) Reassessing the projections of the world water development report. NPJ Clean Water 2(1):1–6
Chartzoulakis K, Bertaki M (2015) Sustainable water management in agriculture under climatechange. Agric Agric Sci Procedia 4:88–98
Chineke, T.C, Okoro, U.K, Nwafor, O.K, Akunne, O.P, Emelogu, N, Chiemeka, I.U and Nwokocha, C.O. (2008). Candidates Equation for Potential Evaporation; Another Step in Humanizing the Water Research Capacity in Subtropical Africa. International Science Research Journal 1(2): 72-81.
David. Cromwell Sakiyo., Adamu, Musa. and Enoch Buba Badgat. (2020). Impact of Deforestation on same selected Rural Communities in Jada, Ganye and Toungo Local Government Areas, Adamawa State Nigeria. International Journal of Agriculture and Forestry. 2020, 10(3): 63 – 70. https://doi.org/10.5923/j.ijaf:20201003.01
Abtew (1996), W. (1996). Evapotranspiration Measurement and Modeling for these Wetland System in South Florida. Water Researches Bulletin 32: 464 - 473.
Chineke, T.C., Okoro, U.K., Nwafor, O.K., Akunne, O.P., Emelogu, N. Chiemeka, I.U. and Nwokocha, C.O. (2008). Candidate Equation for Potential Evapotranspiration: Another Step in Humanizing the Water Research Capacity in Subtropical Africa. International Science Research Journal 1(2): 72 – 81.
Edebeatu, C.C. (2018). Estimation of Reference Evapotranspiration in the Semi – Arid Region of Nigeria for Agricultural Applications. Unpublished Ph.D. Thesis University of port Harcourt UPH, Nigeria.
Edebeatu, Chinedu C. and Okujagu, Charity U. (2015). New Correlation for Estimating Reference Evapotranspiration in a Semi – Arid Region. International Journal of Scientific Research. Volume 4(12); 149 – 152. ISSN No 2277 – 8179. IJSR
Edebeatu, C.C., Okujagu, C.U. and Ononugbo, C. P. (2019). Stochastic Comparison of the Effect of Radiation and Temperature on Consumptive use in the Semi – arid Region of Nigeria. Scientia Africana. 18(1): 39 – 47. April 2019 ISSN 1118-1931. www.scientia-africana.uniportjournal.info.
Edebeatu, C. C., Okujagu, C. U. and Ononugbo, P. C. (2017). Performance Evaluation of Empirical based Reference Evapotranspiration Models in the Sahel Savanna and Montane Savanna of Nigeria. Nigerian Journal Scientific Research, 16(3): May – June 2017. www.njsr.abu.edu.ng
Ibeh Gabriel Friday, Bernadette Chidomnso Udochukwu, Tertsea Igbawua, Tyovenda Alaxander and Ofoma John Ndubuisi (2019). Assessment of Global Solar Radiation at Selected Points in Nigeria Using Artificial Neural Network Model (ANNM). International Journal of Environment and Climate Change. 9(7): 376-390, 2019; Article no. IJECC. 031 ISSN: 2581-8627
Islam SMF, Karim Z (2019) World’s demand for food and water: the consequences of climate change. Desalination-Challenges and Opportunities 57–84
Umara, B. G., Aliyu, M.M, Umarra A.B and Abdullahi, A.S. (2012). Comparison of Four Empirical Models for Estimating Crop Evapotranspiration in Semi-arid of Nigeria. Australian Journal of Basic and Applied Sciences 6 (7): 26-32.
Nigerian Meteorological Agency (NiMET, 2020). Seasonal Rainfall Prediction (21 January) by NIMET; Postdated, Thursday, 23 January.
Ishaku, J.M., Ahmed A.S. and Abubakar, M.A. (2011). Assessment of groundwater quality using chemical indices and GIS mapping in Jada area, Northeastern Nigeria. Journal of Earth Sciences and Geotechnical Engineering, vol. 1, no. 1, 2011, 35-60 ISSN: 1792 - 9040(print), 1792-9660 (online) International Scientific Press, 2011.
Raza Ali, Yongguang Hu, Siham Acharki , Noman Ali Buttar, Ram L. Ray, Aftab Khaliq, Nadeem Zubair, Muhammad Zubair, Neyha Rubab Syed, and Ahmed Elbeltagi (2023). Evapotranspiration Importance in Water Resources Management Through Cutting-Edge Approaches of Remote Sensing and Machine Learning Algorithms, Springer Hydrogeology, https://doi.org/10.1007/978-3-031-29394-8_1
Xystrakis, Fotois and Andreas, Matzarakis. (2011). Evaluation of 13 Empirical Reference Potential Evapotranspiration Equations on the Island of Crete in South Greece. Journal of Irrigation and Drainage Engineering. ACSE 211– 222. http://wwwacselibrayr.org
