Sensitivities of some Reference Evapotranspiration Models to the Key Climatic Variables in Northeastern Nigeria

Arid Zone Journal of Engineering, Technology and Environment

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Title Sensitivities of some Reference Evapotranspiration Models to the Key Climatic Variables in Northeastern Nigeria
 
Creator Dibal, J. M.
Bashir, A. U.
Haruna, M. M.
Abubakar, N. A.
 
Subject Reference evapotranspiration models
Sensitivity analysis
climatic variables
North east region
Nigeria
 
Description Reference evapotranspiration (ETo) models are fundamental tools in decision-making in agricultural water management. They have potential spacio-temporal variations due to climatic variability that challenges their individual reliability in decision-making. The sensitivities of five ETo models were examined using the factor perturbation simulation approach (FPSA). The examined models were Penman-Monteith (PM), Hargreaves-Samanni (HS), Blaney-Criddle (BC), Jensen-Haise (JH) and Thornthwaite (TW) to alteration of climatic variables (wind speed (U2), maximum and minimum air temperatures (Tmax and Tmin), vapor pressure deficit (VPD), and Solar radiation (Rn). The study utilized ten years meteorological data obtained from Nigerian Meteorological Agency (NIMET) offices in Maiduguri between (2002-2011) for Borno State, Potiskum between (2005-2014) for Yobe State and from the Upper Benue River Basin Development Authority, Yola (UBRBDAY) between (2005-2014) for  Adamawa, Taraba, Gombe, and Bauchi states respectively.  Thus covering the entire northeastern region of Nigeria. The region was fractionalized in to three zones namely Borno State (zone A), Yobe State (zone B) and Adamawa, Taraba, Gombe, and Bauchi States (zone C). The results from zones A and B showed some distinctive similarities. Additionally, Blaney-Criddle, Hargreaves-Samanni and Jensen-Haise models outperformed Thorntwaite model, signifying that Thornwaite model is not suitable for application in this region. On an annual average, PM model was most sensitive to U2 and least sensitive to Tmean. BC model was highly sensitive to n/N with sensitivity coefficient (S.C.) of 3.640 in Borno and 3.611 in Yobe, and it was least sensitive to RH. The temperature difference (Tmax-Tmin) was found to have affected HS more than Ra. The Thorntwaite model was most sensitive to solar radiation. Similarly, it was observed that U greatly influenced the performances of the studied ETo models.  For accurate and reliable output from any ETo model, emphases need to be placed on accurate measurement, documentation and systematic handling of the climatic variables and calibration.
 
 
Publisher FACULTY OF ENGINEERING, UNIVERSITY OF MAIDUGURI, NIGERIA
 
Date 2021-03-01
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://azojete.com.ng/index.php/azojete/article/view/407
 
Source ARID ZONE JOURNAL OF ENGINEERING, TECHNOLOGY AND ENVIRONMENT; Vol. 17 No. 1 (2021); 91-102
2545-5818
1596-2490
 
Language eng
 
Relation https://azojete.com.ng/index.php/azojete/article/view/407/279
 
Rights Copyright (c) 2021 Arid Zone Journal of Engineering, Technology and Environment published by University of Maiduguri, Nigeria.
https://creativecommons.org/licenses/by-nc-nd/4.0/
 

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