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9S343
The spatiotemporal dynamics of temperature as well as rainfall have received greater attention from the scientific communities. This study analysed temperature variability in the three granary areas of Peninsular Malaysia using descriptive statistics, parametric (least square regression) and non-parametric (Mann-Kendall and Sen’s slope estimator). The study identified significant warming trend in the annual mean maximum temperature in two of the study areas, i.e. Subang Jaya and Kota Bharu. Also significant warming trend was detected in the annual minimum temperature and significant increasing trend in some of the monthly maximum and minimum temperatures for all the three stations. Also the result reveals spatial and temporal variation in both the maximum and minimum temperature at annual, monthly and seasonal scales. For the annual scale maximum temperature, this study identified a warming trend for the two stations with about 0.014oC per year (1.4oC per 100 years).
Danladi Yusuf Gumel. 2020. \u201cDetermining Temperature trends in the Granary Areas of Peninsular Malaysia using Mann-Kendall and Sen’s Slope Estimator\u201d. Global Journal of Human-Social Science - B: Geography, Environmental Science & Disaster Management GJHSS-B Volume 20 (GJHSS Volume 20 Issue B2): .
Crossref Journal DOI 10.17406/GJHSS
Print ISSN 0975-587X
e-ISSN 2249-460X
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Total Score: 104
Country: Nigeria
Subject: Global Journal of Human-Social Science - B: Geography, Environmental Science & Disaster Management
Authors: Danladi Yusuf Gumel, Ahmad Makmom Bn Abdullah, Rasheeda E. Elhadi, Da’u Abba Umar (PhD/Dr. count: 0)
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Publish Date: 2020 05, Mon
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The spatiotemporal dynamics of temperature as well as rainfall have received greater attention from the scientific communities. This study analysed temperature variability in the three granary areas of Peninsular Malaysia using descriptive statistics, parametric (least square regression) and non-parametric (Mann-Kendall and Sen’s slope estimator). The study identified significant warming trend in the annual mean maximum temperature in two of the study areas, i.e. Subang Jaya and Kota Bharu. Also significant warming trend was detected in the annual minimum temperature and significant increasing trend in some of the monthly maximum and minimum temperatures for all the three stations. Also the result reveals spatial and temporal variation in both the maximum and minimum temperature at annual, monthly and seasonal scales. For the annual scale maximum temperature, this study identified a warming trend for the two stations with about 0.014oC per year (1.4oC per 100 years).
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