Skip to content
Research Article Open access CC BY 4.0

Temporal Variation of Reference Evapotranspiration in Lower River Kaduna Catchment Area, Nigeria

Auwal F. Abdussalam, Isa Zaharaddeen

Archives of Current Research International · pp. 1–11 · Published 22 Jun 2017

10.9734/ACRI/2017/32984

Abstract

Lower River Kaduna catchment area is located in north part of Nigeria where climate variability is pronounce such as high rainfall which result to drought, ground water scarcity and high surface water to evaporation. As such it is importance to investigate the temporal variation evapotranspiration of this area. Because it determined the atmospheric water demand in the catchment. Meteorological data were collected from Nigeria Meteorological Agency which include mean temperature and solar radiation for the period of 21 years (1994-2014). Makkink method of estimating evapotranspiration was used. Trend analysis, normality test and coefficient of variance were carried out respectively. The result revealed that the evapotranspiration has mean value of 4.22 mm day-1, solar radiation has mean value of 21.48 MJ m−2 day−1and temperature has mean value of 32.07°C. Both variables show a moderate variability in the catchment. Evapotranspiration and solar radiation show a negative annual trend while the temperature reveals positive annual trend. April to October has decrease of solar radiation, temperature and evapotranspiration while the remaining month has an increase trend. Seasonal trend shows that MAM and JJA have a decrease while SON and DJF have an increase in solar radiation and evapotranspiration. Seasonal trend of temperature show that MAM, JJA and SON has a decrease while DJF has an increase.

Evapotranspiration Nigeria variability radiation temperature temporal Kaduna

Cited by 3

Impact of climate change on climate extreme indices in Kaduna River basin, Nigeria

Zaharaddeen Isa, Bulus Ajiya Sawa, Auwal F. Abdussalam · Environmental Science and Pollution Research · 2023

Empirical analysis of dry spells during growing season with respect to maize crop in Nigeria

Nnadozie O. Nnoli, Ahmed A. Balogun, Jerome A. Omotosho · Theoretical and Applied Climatology · 2020

Identifying major climate extreme indices driver of stream flow discharge variability using machine learning and SHaply Additive Explanation

Zaharaddeen Isa, Auwal F. Abdussalam, Bulus Ajiya Sawa · Sustainable Water Resources Management · 2023

Article metrics

Real usage data collected on this platform.

0

Page views

0

PDF downloads

0

Outbound clicks

3

Citations

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

No views recorded yet.

Traffic sources

Referring site, by host.

No traffic recorded yet.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.