Analysis of trend and variability of atmospheric temperature in Ijebu-Ode, Southwest Nigeria

Oluwatobi, Aiyelokun; Oluwakemi, Odekoya

doi:10.14303/irjas.2016.013

Cited by 4 publications

(5 citation statements)

References 5 publications

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“…The variability in the temperature have been observed by [37]. The temperatures had an increasing trend in some stations [38] and a decreasing trend in some other stations. For example, in the daily TMAX data, the MMK showed a low increasing trend over the 35 years except Asaba station that had a low decreasing trend.…”

Section: Discussionmentioning

confidence: 73%

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A Trend Analysis of Temperature in Selected Stations in Nigeria Using Three Different Approaches

Ragatoa¹,

Ogunjobi²,

Okhimamhe³

et al. 2018

OALib

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This study used daily observation data obtained from the Nigerian Meteorological Agency (NiMet) to investigate the temperature trend of Nigeria from 1981-2015. The data were homogenised using the Quantile Matching (QM) method and Quality Controlled. The data have been transformed into three sets of data with different periods: daily, monthly and yearly. The datasets (daily, monthly and yearly) were checked for autocorrelation and if they were found auto correlated, the Modified Mann Kendall (MMK) and the PreWhitening (PW) methods were used and compared, if not the normal Mann Kendall (MK) test was applied. The results showed for the different methods, variations in the trend from one station to another and for the minimum and maximum temperature. These variations were observed in the different methods and data screening the performance of each of the methods in the datasets. The general trend was found to be increasing. The variations in the temperature increase the Diurnal Temperature Range (DTR) that impact human health and increase the probability of occurrence of extreme events.

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Section: Discussionmentioning

confidence: 73%

“…Similarly, [38] did in the South West of Nigeria a study on trend and variability of temperature. He used the least square regression and the normal Mann Kendall to determine the trend and applied the t-test and the standardized index to detect variability in the temperature.…”

Section: Introductionmentioning

confidence: 99%

A Trend Analysis of Temperature in Selected Stations in Nigeria Using Three Different Approaches

Ragatoa¹,

Ogunjobi²,

Okhimamhe³

et al. 2018

OALib

View full text Add to dashboard Cite

show abstract

“…Like other parts of Nigeria, Ijebu Ode is characterized by wet and dry seasons. The annual rainfall is between 1575mm and 2340mm and the average annual temperature is 27.5°C (Oluwatobi & Oluwakemi, 2016;Fayemi, 2020;Onanuga et al, 2022). The vegetation is tropical rain forest dotted in some parts by derived forest being altered by human activities (Ezekiela et al, 2016;Adejuwon & Agundiminegha, 2019).…”

Section: The Study Areamentioning

confidence: 99%

Evaluation of Land Cover Dynamics and Landscape Fragmentation in Ijebu Ode, Nigeria

Olayiwola

Salau

2022

jgier

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Landscape fragmentation has been found to be a major consequence of urbanization and of land use/cover (LULC) changes. Thus, this study analyzed the spatiotemporal land use/land cover changes of Ijebu Ode, Nigeria between 1986 and 2021. This is with a view to assessing the pattern of landscape fragmentation in the study area. The study used data obtained through Global Positioning System (GPS) receiver and satellite imageries (Landsat 5 MSS/TM, 1986; Landsat 7 ETM+, 2000 and 2014; and Landsat 8 OLI/TIR, 2021). Data were analyzed using spatial landscape metrics. Results indicated that Ijebu Ode has witnessed dramatic increase of built-up areas between 1986 and 2000 by 11.03%, 2000 to 2014 (65.24%), and 2014 to 2021 by 131.25%. Expansion of the built-up area was aided by reductions in bare land (1986 to 2000, 15.78%; 2014 to 2021, 98.27%), and the cultivated area by 47.74% between 1986 and 2014. Landscape metrics were estimated over the four epochs of study. Results revealed that most of the metrics suggest similar trends over the entire periods of study. However, Largest Patch Index (LPI), Landscape Shape Index (LSI) and Normalized Landscape Shape Index (NLSI) were useful in capturing the spatio-temporal variations in landscape transformation. Also, Class Area (CA) was useful to show the degree of land cover changes. The study concluded that location of spatial structures influenced the landscape patterns influence and urbanization processes in the study area. Hence, the study recommended for regular monitoring of the expansion of the built-up area to check the imminent urban sprawl in the study area.

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“…Like other parts of Nigeria, Ijebu Ode is characterized by wet and dry seasons. The annual rainfall is between 1575mm and 2340mm and the average annual temperature is 27.5°C [1,40,41]. The vegetation is tropical rain forest dotted in some parts by derived forest being altered by human activities [39,42].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Land Cover Dynamics and Landscape Fragmentation in Ijebu Ode, Nigeria

Olayiwola,

Salau

2024

JASTT

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Landscape fragmentation has been found to be a major consequence of urbanization and land use/cover (LULC) changes. Thus, this study analyzed the spatiotemporal land use/land cover changes in Ijebu Ode, Nigeria, between 1986 and 2021. This is with a view to assessing the pattern of landscape fragmentation in the study area. The study used data obtained through a Global Positioning System (GPS) receiver and satellite imagery (Landsat 5 MSS/TM, 1986; Landsat 7 ETM+, 2000 and 2014; and Landsat 8 OLI/TIR, 2021). The data were analyzed using spatial landscape metrics. Results indicated that Ijebu Ode has witnessed a dramatic increase in built-up areas between 1986 and 2000 by 11.03%, 2000 to 2014 (65.24%), and 2014 to 2021 by 131.25%. Expansion of the built-up area was aided by reductions in bare land (1986 to 2000, 15.78%; 2014 to 2021, 98.27%), and the cultivated area by 47.74% between 1986 and 2014. Landscape metrics were estimated over the four epochs of the study. The results revealed that most of the metrics suggest similar trends over the entire period of study. However, the Largest Patch Index (LPI), Landscape Shape Index (LSI) and Normalized Landscape Shape Index (NLSI) were useful in capturing the spatio-temporal variations in landscape transformation. Also, Class Area (CA) was useful to show the degree of land cover change. The study concluded that the location of spatial structures influenced the landscape patterns and urbanization processes in the study area. Hence, the study recommended regular monitoring of the expansion of the built-up area to check for imminent urban sprawl in the study area.

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Analysis of trend and variability of atmospheric temperature in Ijebu-Ode, Southwest Nigeria

Cited by 4 publications

References 5 publications

A Trend Analysis of Temperature in Selected Stations in Nigeria Using Three Different Approaches

A Trend Analysis of Temperature in Selected Stations in Nigeria Using Three Different Approaches

Evaluation of Land Cover Dynamics and Landscape Fragmentation in Ijebu Ode, Nigeria

Evaluation of Land Cover Dynamics and Landscape Fragmentation in Ijebu Ode, Nigeria

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