2017
DOI: 10.4236/gep.2017.59019
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Analysis of Extreme Rainfall Events (Drought and Flood) over Tordzie Watershed in the Volta Region of Ghana

Abstract: In regional water resources management and disaster preparedness, the analysis of extreme rainfall events is essential. The need to investigate drought and flood conditions is now heightened within the context of climate change and variability. The Standardised Precipitation Index (SPI) was employed to assess the extreme rainfall event on Tordzie watershed using precipitation data from 1984-2014. The SPI on the time scale of 3, 6, 9 and 12 months were determined using "DrinC" software. The drought was characte… Show more

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Cited by 17 publications
(12 citation statements)
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“…In summary, both SPI and SPEI are better indices to be employed in drought severity and extreme assessment as has been confirmed in studies such as [8,18,30,31,62,63,64]. In this study, SPEI was able to identify clearer extreme and severe droughts over Winneba than SPI.…”
Section: Comparison Between Spi and Speisupporting
confidence: 71%
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“…In summary, both SPI and SPEI are better indices to be employed in drought severity and extreme assessment as has been confirmed in studies such as [8,18,30,31,62,63,64]. In this study, SPEI was able to identify clearer extreme and severe droughts over Winneba than SPI.…”
Section: Comparison Between Spi and Speisupporting
confidence: 71%
“…This study has detected decadal extreme and severe droughts occurrence in the 1980s, 1990s, 2000s and 2010s over Winneba. This result can be compared with other drought studies in Ghana (e.g., [26,27,30]. [26] has utilized the SPI index to mild to extreme drought in coastal Ghana.…”
Section: Comparison Between Spi and Speimentioning
confidence: 98%
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“…This shows a low variation of rainfall for RCP4.5 and RCP8.5 scenarios. Although almost all stations revealed a low to moderate variation in rainfall amount for the understudied periods, studies such as Nyatuame & Agodzo (2017), Ayanlade et al (2018) and Alemu & Bawoke (2019) have stated that such variations can adversely impact agriculture and water management. The spatial distribution of CV for annual rainfall is given in Figure 8.…”
Section: Projections In Annual Rainfallmentioning
confidence: 97%