Analyses of Precipitation and Evapotranspiration Changes across the Lake Kyoga Basin in East Africa

This study analyzed changes in CenTrends gridded precipitation (1961–2015) and Potential Evapotranspiration (PET; 1961–2008) 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...

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Published in:Water
Main Authors: Charles Onyutha, Grace Acayo, Jacob Nyende
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2020
Subjects:
Online Access:https://doi.org/10.3390/w12041134
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spelling ftmdpi:oai:mdpi.com:/2073-4441/12/4/1134/ 2023-08-20T04:08:26+02:00 Analyses of Precipitation and Evapotranspiration Changes across the Lake Kyoga Basin in East Africa Charles Onyutha Grace Acayo Jacob Nyende agris 2020-04-16 application/pdf https://doi.org/10.3390/w12041134 EN eng Multidisciplinary Digital Publishing Institute Hydrology https://dx.doi.org/10.3390/w12041134 https://creativecommons.org/licenses/by/4.0/ Water; Volume 12; Issue 4; Pages: 1134 precipitation variability potential evapotranspiration climate indices trend analyses climate variability Lake Kyoga Basin Bududa landslides Hargreaves method Text 2020 ftmdpi https://doi.org/10.3390/w12041134 2023-07-31T23:22:46Z This study analyzed changes in CenTrends gridded precipitation (1961–2015) and Potential Evapotranspiration (PET; 1961–2008) 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–April–May precipitation decreased (p > 0.05) in most parts of the LKB. However, September–October–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 1818–1959, 1960–2009, and 2010–2019, 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. Text North Atlantic North Atlantic oscillation MDPI Open Access Publishing Indian Water 12 4 1134
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic precipitation variability
potential evapotranspiration
climate indices
trend analyses
climate variability
Lake Kyoga Basin
Bududa landslides
Hargreaves method
spellingShingle precipitation variability
potential evapotranspiration
climate indices
trend analyses
climate variability
Lake Kyoga Basin
Bududa landslides
Hargreaves method
Charles Onyutha
Grace Acayo
Jacob Nyende
Analyses of Precipitation and Evapotranspiration Changes across the Lake Kyoga Basin in East Africa
topic_facet precipitation variability
potential evapotranspiration
climate indices
trend analyses
climate variability
Lake Kyoga Basin
Bududa landslides
Hargreaves method
description This study analyzed changes in CenTrends gridded precipitation (1961–2015) and Potential Evapotranspiration (PET; 1961–2008) 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–April–May precipitation decreased (p > 0.05) in most parts of the LKB. However, September–October–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 1818–1959, 1960–2009, and 2010–2019, 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.
format Text
author Charles Onyutha
Grace Acayo
Jacob Nyende
author_facet Charles Onyutha
Grace Acayo
Jacob Nyende
author_sort Charles Onyutha
title Analyses of Precipitation and Evapotranspiration Changes across the Lake Kyoga Basin in East Africa
title_short Analyses of Precipitation and Evapotranspiration Changes across the Lake Kyoga Basin in East Africa
title_full Analyses of Precipitation and Evapotranspiration Changes across the Lake Kyoga Basin in East Africa
title_fullStr Analyses of Precipitation and Evapotranspiration Changes across the Lake Kyoga Basin in East Africa
title_full_unstemmed Analyses of Precipitation and Evapotranspiration Changes across the Lake Kyoga Basin in East Africa
title_sort analyses of precipitation and evapotranspiration changes across the lake kyoga basin in east africa
publisher Multidisciplinary Digital Publishing Institute
publishDate 2020
url https://doi.org/10.3390/w12041134
op_coverage agris
geographic Indian
geographic_facet Indian
genre North Atlantic
North Atlantic oscillation
genre_facet North Atlantic
North Atlantic oscillation
op_source Water; Volume 12; Issue 4; Pages: 1134
op_relation Hydrology
https://dx.doi.org/10.3390/w12041134
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/w12041134
container_title Water
container_volume 12
container_issue 4
container_start_page 1134
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