Investigating Climate Variability in Spatio-Temporal Domains Using GIS and Statistical Techniques in Case of Wello, Northeastern Ethiopian Highlands
Land use land cover dynamics is a widespread phenomenon in many parts of Ethiopia and This study aimed at investigating climate variability in spatio-temporal domains using Geographical Information System and statistical techniques. In this study, time series data of rainfall and temperature from N...
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| Format: | Article |
| Language: | English |
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EL-AYACHI
2019-05-01
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| Series: | African Journal on Land Policy and Geospatial Sciences |
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| Online Access: | https://revues.imist.ma/index.php/AJLP-GS/article/view/14161 |
| _version_ | 1827370754445934592 |
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| author | getie Gebrie Eshetie |
| author_facet | getie Gebrie Eshetie |
| author_sort | getie Gebrie Eshetie |
| collection | DOAJ |
| description |
Land use land cover dynamics is a widespread phenomenon in many parts of Ethiopia and This study aimed at investigating climate variability in spatio-temporal domains using Geographical Information System and statistical techniques. In this study, time series data of rainfall and temperature from National Centers for Environmental Prediction’s Climate Forecast System Reanalysis and National Meteorological Agency and crop data from Central Statistical Agency were used. Mann-Kendall and Sen’s Slope methods have been used for the trend analysis and quantification. The result showed that total Kiremt rainfall decreased by 9.076mm per Kiremt season and the trend was statistically significant at 0.05 alpha levels. On the contrary, maximum temperature, minimum temperature and sea surface temperature showed an increasing trend both seasonally and annually. Furthermore, rainfall, maximum temperature and minimum temperature data were analyzed for the magnitude of temporal and spatial variations using percentage of coefficient of variations. Coefficient of variations of Mean total Kiremt and annual rainfall were ranging from 24.8% to 62% and from 23.13% to 57.86%, respectively. From the regression analysis, it was observed that the variation of crop production was explained by the variation of rainfall and temperature.
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| first_indexed | 2024-03-08T10:25:10Z |
| format | Article |
| id | doaj.art-f21a1e8f8d66474c99bdac97ffdcb693 |
| institution | Directory Open Access Journal |
| issn | 2657-2664 |
| language | English |
| last_indexed | 2024-03-08T10:25:10Z |
| publishDate | 2019-05-01 |
| publisher | EL-AYACHI |
| record_format | Article |
| series | African Journal on Land Policy and Geospatial Sciences |
| spelling | doaj.art-f21a1e8f8d66474c99bdac97ffdcb6932024-01-27T08:13:37ZengEL-AYACHIAfrican Journal on Land Policy and Geospatial Sciences2657-26642019-05-012210.48346/IMIST.PRSM/ajlp-gs.v2i2.14161Investigating Climate Variability in Spatio-Temporal Domains Using GIS and Statistical Techniques in Case of Wello, Northeastern Ethiopian Highlandsgetie Gebrie Eshetie0Woldia University Land use land cover dynamics is a widespread phenomenon in many parts of Ethiopia and This study aimed at investigating climate variability in spatio-temporal domains using Geographical Information System and statistical techniques. In this study, time series data of rainfall and temperature from National Centers for Environmental Prediction’s Climate Forecast System Reanalysis and National Meteorological Agency and crop data from Central Statistical Agency were used. Mann-Kendall and Sen’s Slope methods have been used for the trend analysis and quantification. The result showed that total Kiremt rainfall decreased by 9.076mm per Kiremt season and the trend was statistically significant at 0.05 alpha levels. On the contrary, maximum temperature, minimum temperature and sea surface temperature showed an increasing trend both seasonally and annually. Furthermore, rainfall, maximum temperature and minimum temperature data were analyzed for the magnitude of temporal and spatial variations using percentage of coefficient of variations. Coefficient of variations of Mean total Kiremt and annual rainfall were ranging from 24.8% to 62% and from 23.13% to 57.86%, respectively. From the regression analysis, it was observed that the variation of crop production was explained by the variation of rainfall and temperature. https://revues.imist.ma/index.php/AJLP-GS/article/view/14161RainfallTemperatureSpatio-Temporal Variability |
| spellingShingle | getie Gebrie Eshetie Investigating Climate Variability in Spatio-Temporal Domains Using GIS and Statistical Techniques in Case of Wello, Northeastern Ethiopian Highlands African Journal on Land Policy and Geospatial Sciences Rainfall Temperature Spatio-Temporal Variability |
| title | Investigating Climate Variability in Spatio-Temporal Domains Using GIS and Statistical Techniques in Case of Wello, Northeastern Ethiopian Highlands |
| title_full | Investigating Climate Variability in Spatio-Temporal Domains Using GIS and Statistical Techniques in Case of Wello, Northeastern Ethiopian Highlands |
| title_fullStr | Investigating Climate Variability in Spatio-Temporal Domains Using GIS and Statistical Techniques in Case of Wello, Northeastern Ethiopian Highlands |
| title_full_unstemmed | Investigating Climate Variability in Spatio-Temporal Domains Using GIS and Statistical Techniques in Case of Wello, Northeastern Ethiopian Highlands |
| title_short | Investigating Climate Variability in Spatio-Temporal Domains Using GIS and Statistical Techniques in Case of Wello, Northeastern Ethiopian Highlands |
| title_sort | investigating climate variability in spatio temporal domains using gis and statistical techniques in case of wello northeastern ethiopian highlands |
| topic | Rainfall Temperature Spatio-Temporal Variability |
| url | https://revues.imist.ma/index.php/AJLP-GS/article/view/14161 |
| work_keys_str_mv | AT getiegebrieeshetie investigatingclimatevariabilityinspatiotemporaldomainsusinggisandstatisticaltechniquesincaseofwellonortheasternethiopianhighlands |