Exploring greenhouse gas mitigation strategies for agriculture in Africa: The case of Nigeria

Dioha, Michael O.; Kumar, Atul

doi:10.1007/s13280-019-01293-9

Cited by 25 publications

(11 citation statements)

References 48 publications

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“…Climate change has become one of the most essential concerns in the field of sustainable development, and its impacts (rising of sea levels, melting of polar ice caps, wild bush fires, intense droughts etc.) can be felt in different parts of the globe (Dioha and Kumar 2020;Ali et al 2013). The warming of our planet due to the emission of greenhouse gases is now unquestionable; and over the last century, the CO 2 atmospheric concentration has increased significantly and has, in turn, induced the average global temperature to increase by 0.74 °C as compared with the preindustrial era (UNFCCC 2007).…”

Section: Introductionmentioning

confidence: 99%

Climate change and trend analysis of temperature: the case of Addis Ababa, Ethiopia

Alemu

Dioha

2020

Environ Syst Res

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Background This paper presents the trend analysis of temperature and the effect of climate variation in the city of Addis Ababa, Ethiopia. The paper seeks to provide up-to-date information for the better management of climate change in the city. The analysis is based on the temperature difference in the city over two stations—Bole and Entoto. The overall purpose of this study is to investigate the possible trend of temperature variation as well as the effect of climate change in the study area. Method The Mann-Kendall (MK) trend test and Sen's slope estimate were employed to find the nature of the temperature trend and significance level in the city. Results It was found that the MK2/MK3 statistic (Z) value for minimum, maximum and average temperatures for Bole station are 6.21/5.99, 2.49/2.6, and 6.09/6.14 respectively. The positive Kendall's Z value shows an upward trend and implies an increasing trend over time. This indicates a significant increase in the trend at a 5% level of significance since the significance level (alpha) is greater than the computed p-value (0.05 > p-values (0.0001)). Whereas for Entoto station, the MK1 statistic (Z) results are 1.64 for minimum, while the MK2/MK3 static (Z) are 0.71/0.65 for the maximum, and 0.17/1.04 for average temperature, and this positive value shows an indicator of an increasing trend. However, the increase is not significant at the 5% significant level since the computed p-value is larger than the significant level (alpha = 0.05). Conclusions There is a tendency of temperature increments in Bole station. This could be due to the influence of climate change which can lead to weather extremes in the capital city. Therefore, the study recommends that the variability of temperature needs further monitoring technique, and there is a need to consider the increasing temperature trend to minimize its effects on human health.

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Section: Introductionmentioning

confidence: 99%

Climate change and trend analysis of temperature: the case of Addis Ababa, Ethiopia

Alemu

Dioha

2020

Environ Syst Res

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“…rising of sea levels, melting of polar ice caps, wild bush fire, intense drought, etc.) can be felt in different parts of the world (Dioha and Kumar 2019). Warming of our planet due to emission of Greenhouse Gases is now unquestionable; and over the last century, CO2 atmospheric concentration has increased significantly, which induced the average global temperature to increase by 0.74°C as compared with the preindustrial era (UNFCCC 2007).…”

Section: Introductionmentioning

confidence: 99%

Climate Change and Trend Analysis of Temperature in Addis Ababa, Ethiopia

Alemu¹,

Dioha

2020

Preprint

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Background: This paper presents the trend analysis of temperature in Addis Ababa City and the effect of climate change in the study area. The analysis is based on the temperature variation in the capital city of Addis Ababa over two stations - Bole and Entoto. Methods: The Mann-Kendall trend test and Sen’s slope estimate were employed to find the nature of the temperature trend and significance level in Addis Ababa city. Results: It was found that the Mann-Kendall statistic (Z) value for minimum, maximum and average temperatures for Bole station are 5.99, 3.32, and 6.14 respectively. The positive Kendall’s Z value shows an upward trend and implies an increasing trend over time. This indicates that there is a significant increase in the trend at a 5% level of significance since the p-value is less than the significant level (p-values (0.0001) < 0.05). Whereas for Entoto station, the Mann-Kendall statistic (Z) results are 1.64 for minimum, 0.85 for the maximum, and 1.40 for average temperature, and this positive value show an indicator of an increasing trend. However, the increase is not significant at 5% significant level since the p-value is greater than the significant level (p-value (0.219) > 0.05). Conclusions: From both the Mann-Kendall trend test result and Sen’s Slope estimator, it can be concluded that there is the tendency of temperature increments in Bole station. This could be due to the influence of climate change and can lead to weather extremes in the capital city. Therefore, the study recommend that the variability of temperature needs further monitoring technique, and there is a need to consider the increasing temperature trend to minimize its effects on human health.

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“…In sustainable development, change in weather is considered as one of the important factor and its influence can be seen all-around the globe in numerous geographical regions (Dioha and Kumar 2020). Change in the precipitation and air temperature properties have been noticed by the researchers globally.…”

Section: Introductionmentioning

confidence: 99%

Temporal Trend Analysis of Climate Data by using Innovative Polygon Trend Analysis method for Hardwar, India

Sharma

Ghosh

2022

Preprint

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Nowadays, Global warming is one of the important concerns due to which rapid change is occurring in climate throughout the world. This climate change has remarkable effects on living beings as well as on biotic and non-biotic. The climatic parameters, create a never-ending urge for the robust investigation to counter the unwanted harsh effects of change in the climate. As per the past studies, the trend analysis method is considered one of the most common and effective methods. Innovative Polygon Trend Analysis (IPTA) is an innovative, non-parametric technique of analysis for estimating trends in recent years. It almost avoids the difficulties faced in the parametric approach. The unique feature of this method is its dependence on time-series data and correspondingly comparison of data series with each other. Therefore, in this article, the average temperature (monthly) and total rainfall data (monthly) of the district of Hardwar is fetched and analyzed for the period-interval of 40 years (1981 to 2020). The result obtained consist of Polygon graphics (arithmetic and standard deviation) along with trend slope and trend length. According to the results, it is observed that no regular polygon is seen in the graphics of minimum temperature and rainfall data while regular polygon is seen in arithmetic mean of maximum rainfall. This means that minimum temperature and rainfall data varies by years and maximum temperature data has homogenous behavior. Inferring this, reciprocated incremental and decrement trends were observed in some months when the statistical parameters standard deviation and arithmetic mean are analyzed.

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Exploring greenhouse gas mitigation strategies for agriculture in Africa: The case of Nigeria

Cited by 25 publications

References 48 publications

Climate change and trend analysis of temperature: the case of Addis Ababa, Ethiopia

Climate change and trend analysis of temperature: the case of Addis Ababa, Ethiopia

Climate Change and Trend Analysis of Temperature in Addis Ababa, Ethiopia

Temporal Trend Analysis of Climate Data by using Innovative Polygon Trend Analysis method for Hardwar, India

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