Natural Resources, School of

 

First Advisor

Tsegaye Tadesse

Second Advisor

Mark Svoboda

Committee Members

Michael Hayes

Date of this Version

8-2024

Document Type

Thesis

Citation

A thesis presented to the faculty of the Graduate College at the University of Nebraska in partial fulfillment of requirements for the degree of Master of Science

Major: Natural Resource Sciences

Under the supervision of Professors Tsegaye Tadesse and Mark Svoboda

Lincoln, Nebraska, August 2024

Comments

Copyright 2024, Betty Makena. Used by permission

Abstract

Drought-Flood Abrupt Alternation (DFAA) is a compound disaster event that refers to the abrupt shift of extreme drought events to extreme floods resulting in exacerbated impacts on already vulnerable communities and hindering their coping abilities. This study aimed to analyze drought-flood abrupt alternation events and their impacts in Kenya. The first chapter aimed to understand historical drought events in the Greater Horn of Africa and their impacts, while drawing comparisons with the recent 2020-2022 drought period, referred to as the ‘triple dip La Niña’. Datasets used in this study include the Climate Hazards Group InfraRed Precipitation with Station (CHIRPS), Normalized Difference Vegetation Index, soil moisture, and crop yield data. The second chapter aimed to analyze the abrupt shift between drought and floods in Kenya. The Long Cycle Drought-Flood Abrupt Alternation Index (LDFAI) was used to analyze DFAA events from 1982 to 2024. In addition, DFAA events were correlated with impact and crop yield data. The results indicated a decrease in the intensity but increased frequency of drought events. The study also identifies two types of abrupt shift events: Drought to Droughts (DTD) and Drought to Floods (DTF). DTF events have been predominant in the last century where since 2012 there have been nine DTF events resulting to reduced crop yields. The insight from this study aims to advance understanding of climate change dynamics and offer valuable guidance in updating existing disaster early warning information to mitigate the adverse impacts of climate disasters.

Advisors: Tsegaye Tadesse and Mark Svoboda

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