A Comparative Study for Estimating Reference Evapotranspiration Models over Kano, Nigeria

M. K. Abdulsalam

Department of Physics, Usmanu Danfodiyo University, Sokoto, Nigeria.

D. O. Akpootu *

Department of Physics, Usmanu Danfodiyo University, Sokoto, Nigeria.

S. Aliyu

Department of Physics, Usmanu Danfodiyo University, Sokoto, Nigeria.

A. K. Isah

Department of Physics, Usmanu Danfodiyo University, Sokoto, Nigeria.

*Author to whom correspondence should be addressed.


Abstract

The major factor faced by Agricultural activities is water scarcity. Water is very essential in Agricultural activities (plantation), crop acquires water naturally by precipitation and subsurface moisture, when the supply of water is inadequate for crop use, mostly results to irrigation. This present study estimates and compares six various universally accepted models for estimating reference evapotranspiration (ET0) for Kano situated in the Sahelian climatic zone of Nigeria using measured meteorological parameters of monthly average daily global solar radiation, sunshine hour, wind speed, minimum and maximum temperatures and relative humidity covering a period of thirty one years (1988 – 2018). Four different statistical validation indices of Root Mean Square Error (RMSE), Mean Bias Error (MBE), Mean Absolute Error (MAE) and coefficient of correlation (R) were carried out to test the accuracy of the evaluated models. The result indicated that high value of ETo was found in the month of April with 10.0256 mm/day for Kano and a low value was found to be in August with 5.0804 mm/day for Kano. The Blaney – Morin Nigeria model was found more accurate for Kano with RMSE, MBE, MAE and R values as 1.5078 mm/day, -1.4634 mm/day, 1.4634 mm/day and 0.9790 respectively.

Keywords: Evapotranspiration, Kano, lysimeter, models, NIMET, statistical indicator


How to Cite

Abdulsalam , M. K., Akpootu , D. O., Aliyu , S., & Isah , A. K. (2023). A Comparative Study for Estimating Reference Evapotranspiration Models over Kano, Nigeria. Journal of Energy Research and Reviews, 15(2), 12–25. https://doi.org/10.9734/jenrr/2023/v15i2303

Downloads

Download data is not yet available.

References

Brun P, Zimmermann NE, Hari C, Pellissier L, Karger DN. preprint. Global climate – related predictors at Kilometre resolution for the past and future. Earth syst. Sci. Data Discuss; 2023.

Available:https://doi.org/10.5194/essd-2022-212

Allen RG, Pereira LS, Raes D. Smith M. Crop Evapotranspiration- Guidelines for computing crop water requirements. FAO Irrigation and Drainage Paper 56. Food and Agriculture Organization. Rome; 1998.

Trajkovic S, Zivkovic S. Effect of actual vapour pressure on estimating evapotranspiration at Serbia.Architecture and Civil Engineering. 2009;7(2):171–178.

Yusuf HA, Agbaje N, Olorunfemi IE. Estimation of evapotranspiration rate in the sahelian region of Nigeria using generalized regression neural network and feed forward neural network. Agricultural Engineering International: CIGR Journal. 2020;22(4):31-39.

Onwuegbunam NE, Onwuegbunam DO, Dare A. Estimation and comparison of reference evapotranspiration within Kaduna central district, Nigeria using four different methods. Nigeria Journal of Technology (NIJOTEC). 2020;39(1):306–314.

Zarie AR, Zarie S, Paranchi AW. Comparison of several methods to estimatereference evapotranspiration. West Africa Journal of Applied Ecology. 2015;23(2):17-25.

Akpootu DO, Iliyasu MI. A comparison of various evapotranspiration models for estimating reference Evapotranspiration in Sokoto, North Western, Nigeria. Physical Science International Journal. 2017;14(2):1–14.

DOI: 10.9734/PSIJ/2017/32720

Adekunle BT, lukman AS, Ayodele PO, Oladimeji AB, Olawale EA, Olanrewaju OSA, Muriala AA, Opeyemi RO, Omodara EO. Evaluation of the performance of some Evapotranspiration Models at a Tropical location in Ile- Ife, Nigeria. Asian journal of Applied Sciences. 2020;8(6): 325- 334.

Allen GR, Walter IA, Elliot RL, Howell TA, Itenfizu D, Jensen ME, Snyder RL. The ASCE standardized reference evapotranspiration equation. Committee of standardization of reference evapotranspiration of the environmental and Water Resources Institute of the American Society of Civil Engineers; 2005.

Łabędzki L, Kanecka-Geszke E, Bak B, Slowinska S. Estimation of reference evapotranspiration using the FAO Penman-Monteith Method for Climatic Conditions of Poland, In: Evapotranspiration, Labedzki.L (Ed.), In Tech. 2011;275-294.

Duru JO Blaney- Morin- Nigeria evapotranspiration model. Journal of Hydrology. 1984;70:71- 83.

Priestley CHB, Taylor RJ. On the assessment of surface heat flux and evaporation using large-scale parameters. Monthly Weather Rev. 1972;100(2):81-92.

Makkink GF. Testing the penman formula by means of lysimeters. Journal of The Institution of Water Engineering. 1975;11(3):277-288.

Amatya DM, Skaggs RW, Gregory JD. Comparison of methods for estimating REF-ET. Journal of Irrigation and Drainage Engineering. 1995;121(6):427-435.

Hargreaves GH Samani ZA. Reference crop evapotranspiration from temperature. Applied Engineering in Agriculture. 1985;1(2):96-99.

Gavilán P, Lorite IJ, Tornero S, Berengena J. Regional calibration of Hargreaves equation for estimating reference ET in a semiarid environment. Agriculture Water Management. 2006;81:257–281.

Akpootu DO, Iliyasu MI, Nouhou I, Aina AO, Idris M, Mustapha W, Ohaji DE, Muhammad AD. Estimation and variation of saturation mixing ratio and mixing ratio over potiskum, Nigeria. Nigerian Journal of Basic and Applied Science. 2022;30(1):49-54.

DOI:http://dx.doi.org/10.4314/njbas.v30i1.7

Akpootu DO, Mustapha W, Rabiu AM, Iliyasu MI, Abubakar MB, Yusuf SO, Salifu SI. Estimation of surface water Vapour Density and Its variation with other meteorological parameters over owerri, South Eastern, Nigeria. Hydrology. 2019;7(3):46-55.

Abtew W. Evapotranspiration measurements and modeling for three wetland systems. Journal of the American Water Resources Association. 1996;32(3):465-473.

Jensen ME, Haise HR. Estimating evapotranspiration from solar radiation. J. Irrigation and Drainage Div, ASCE. 1963;89:15-41.

James LG. Principles of farm irrigation system design. New York: John Willey and Sons Inc; 1988.

Willmott CJ. Some comments on the evaluation of model performance. American Meteorological Soc. 1982; 63(11):1309–1313.

Jacovides CP, andKontoyiannis H. Statistical procedures for the evaluation of evapotranspiration computing models. Agric Water Management. 1995;74:87-97

Vazquez RF, Feyen J. Effect of potential evapotranspiration estimates on effective parameteters and performance of the MIKESHE code applied to a medium-size. Journal of Hydrology. 2003;309–327.

Ram KS, Anju B. Monitoring of evapotranspiration in major districts of Haryana using penman-monteith method. International journal of Science and Technology. 2012;4(7):418-433.

Akpootu DO, Tijjani BI, Gana UM. Empirical models for predicting global solar radiation using meteorological parameters for Sokoto, Nigeria. InternationalJournal of Physical Research. 2019a;7(2):48–60.

DOI:10.14419/ijpr.v7i2.29160

Zekai S. Solar energy fundamentals and modeling techniques. Atmosphere, Environment, climate change and renewable energy, first ed. Springer, London; 2008.

Akpootu DO, Tijjani BI, Gana UM. Sunshine and temperature dependent models for estimating global solar radiation across the guinea savannah climatic zone of Nigeria. American Journal of Physics andApplications. 2019b;7(5):125-135.

Doi:10.11648/j.ajpa.20190705.15

Akpootu DO, Tijjani BI, Gana UM. New temperature dependent models for estimating global solar radiation across the midland climatic zone of Nigeria. International Journal of Physical Research. 2019c;7(2):70–80.

DOI: 10.14419/ijpr.v7i2.29214

Akpootu DO, Tijjani BI, Gana UM. New temperature dependent models for estimating global solar radiation across the coastal climatic zone of Nigeria. International Journal of Advances in Scientific Research and Engineering (ijasre). 2019d;5(9):126–141. DOI: 10.31695/IJASRE.2019.33523

Akpootu DO, Abdullahi Z. development of sunshine based models for estimating global solar radiation over Kano and Ikeja, Nigeria. FUDMA Journal of Sciences (FJS). 2022;6(3): 290 – 300.

DOI:https://doi.org/10.33003/fjs-2022 0603-1001

Akpootu DO, Iliyasu MI, Olomiyesan BM, Fagbemi SA, Sharafa SB, Idris M, Abdullahi Z, Meseke NO. Multivariate models for estimating global solar radiation in JoS, Nigeria. Matrix Science Mathematic (MSMK). 2022;6(1):05-12.

Available:http://doi.org/10.26480/mkmk.01.2022.05.12

Akpootu DO, Alaiyemola SR, Abdulsalam MK, Bello G, Umar M, Aruna S, Isah AK, Aminu Z, Abdullahi Z, Badmus TO. Sunshine and Temperature Based Models for Estimating Global Solar Radiation in Maiduguri, Nigeria. Saudi Journal of Engineering and Technology. 2023;8(5):82-90.

DOI: 10.36348/sjet.2023.v08i05.001

Gana NN, Akpootu DO. Angstrom Type Empirical Correlation for Estimating Global Solar Radiation in North- Eastern Nigeria. The International Journal of Engineering And Science. 2013a; 2(11), 58-78.

Gana NN, Akpootu DO. Estimation of global solar radiation using four sunshine based models in Kebbi, North-Western, Nigeria. Pelagia Research Library. 2013b; 4(5):409-421.

Akpootu DO, Gana NN. Comparative Study of Global Solar Radiation between Nguru and Abuja. A paper presented at the 24th Annual Congress and Colloquium of the Nigerian Association of Mathematical Physics held at University of Benin, Benin City, Nigeria on the 25th; 2014.

Akpootu DO, Sanusi YA. A new temperature-based model for estimating global solar radiation in Port-Harcourt, South-South Nigeria. The International Journal of Engineering And Science. 2015;4(1):63-73.

Olomiyesan BM, Akpootu DO, Oyedum DO, Olubusade JE, Adebunmi SO. Evaluation of global solar radiation models performance using global performance indicator (GPI): A case study of Ado Ekiti, South West, Nigeria. A paper presented at the 43rd Annual Nigerian Institute of Physics, National Conference, held at the Nnamdi Azikiwe University, Awka, Anambra State;2021.

Akpootu DO, Iliyasu MI. The impact of some meteorological variables on the estimation of global solar radiation in kano, North Western, Nigeria. Journal ofNatural Sciences Research. 2015a;5,22:1–13.

Akpootu DO, Iliyasu MI. A comparative study of some meteorological parameters for predicting global solar radiation in Kano, Nigeria Based on Three Variable Correlations. Advances in Physics Theories andApplications. 2015b;49:1–9.

Akpootu DO, Momoh M. Empirical model for estimating global solar radiation in Makurdi, Benue State, North Central Nigeria. A paper presented at the 36th Annual Nigerian Institute of Physics, National Conference, held at the Department of Physics, University of Uyo, Nigeria on May 26-29, 2014; 2014.

Akpootu DO, Sulu HT. A comparative study of various sunshine based models for estimating global solar radiation in Zaria, North-Western, Nigeria. International Journal of Technology Enhancements and Emerging Engineering Research. 2015;3(12):1 – 5.

Isikwue CB, Audu OM, Isikwue OM. Evaluation of evapotranspiration using FAO Penman-Monteith method in Kano Nigeria. International Journal of Science and Technology. 2014;3(11):698–703.