Analyses of Precipitation and Evapotranspiration Changes across the Lake Kyoga Basin in East Africa
Autor: | Jacob Nyende, Charles Onyutha, Grace Acayo |
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Rok vydání: | 2020 |
Předmět: |
climate variability
lcsh:Hydraulic engineering Geography Planning and Development precipitation variability Lake Kyoga Basin Aquatic Science Structural basin Biochemistry lcsh:Water supply for domestic and industrial purposes lcsh:TC1-978 potential evapotranspiration Evapotranspiration Atlantic multidecadal oscillation Precipitation Water Science and Technology lcsh:TD201-500 Bududa landslides Hargreaves method climate indices Landslide Water resources North Atlantic oscillation Environmental science Physical geography Indian Ocean Dipole trend analyses |
Zdroj: | Water, Vol 12, Iss 1134, p 1134 (2020) Water Volume 12 Issue 4 |
ISSN: | 2073-4441 |
DOI: | 10.3390/w12041134 |
Popis: | This study analyzed changes in CenTrends gridded precipitation (1961&ndash 2015) and Potential Evapotranspiration (PET 1961&ndash 2008) across the Lake Kyoga Basin (LKB). PET was computed from gridded temperature of the Princeton Global Forcings. Correlation between precipitation or PET and climate indices was analyzed. PET in the Eastern LKB exhibited an increase (p > 0.05). March&ndash April&ndash May precipitation decreased (p > 0.05) in most parts of the LKB. However, September&ndash October&ndash November (SON) precipitation generally exhibited a positive trend. Rates of increase in the SON precipitation were higher in the Eastern part where Mt. Elgon is located than at other locations. Record shows that Bududa district at the foot of Mt. Elgon experienced a total of 8, 5, and 6 landslides over the periods 1818&ndash 1959, 1960&ndash 2009, and 2010&ndash 2019, respectively. It is highly probable that these landslides have recently become more frequent than in the past due to the increasing precipitation. The largest amounts of variance in annual precipitation (38.9%) and PET (41.2%) were found to be explained by the Indian Ocean Dipole. These were followed by precipitation (17.9%) and PET (21.9%) variance explained by the Atlantic multidecadal oscillation, and North Atlantic oscillation, respectively. These findings are vital for predictive adaptation to the impacts of climate variability on water resources. |
Databáze: | OpenAIRE |
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