Skip to main content

World Water Day: Water scarcity challenges under climate change in East African drylands


Climate change presents great challenges for dryland regions, especially in communities where socioeconomic livelihoods are tied to the consistency of seasonal rainfall. In the dryland regions of East Africa, drought is a major threat to rainfed agriculture and to drinking water supplies, and regional climate is projected to increase drought frequency and severity.

Since 2000 alone East Africa has been struck by 10 droughts, which generated three severe famines affecting millions of people in the region. Although there is often consensus about the growing regional threat posed by drought, there is a major disconnect between the climate science (meteorological drought) and assessments of usable water resources (hydrological drought) that support livelihoods.

Affected communities need straightforward answers to a practical set of questions: How will regional climate change affect soil moisture required to grow crops or the water table in wells that provide precious drinking water in a parched landscape? How will the water stores change season by season and over coming decades? Furthermore, what adaptation strategies are available to address this challenge?

Through a series of funded projects, we have been working at better understanding how climate and climate change translates into useable water in the ground in East African dryland regions, and how people use and access relevant information to make livelihood decisions towards adaptation. We have developed an interdisciplinary team comprised of dryland hydrologists, climatologists, hydrometeorologists, computer scientists, pastoralist experts, and social scientists (both in the UK and Kenya, Somalia and Ethiopia) to develop a holistic perspective on both the physical and social aspects of drought. We are developing new regional modelling tools that convert past and future rainfall trends into soil moisture and groundwater. These models will underpin a new mobile phone app that aims to deliver forecasts of crop yields and soil moisture to remote agro-pastoralists. Simultaneously we are working with drought-affected communities in Kenya and Ethiopia to better understand barriers and opportunities for improving resilience to climate change, information use, and feasible adaptation strategies.

We hope that through these research endeavours we can contribute to improved climate adaptation efforts in these dryland regions and to long-term societal resilience to climate change.

Read more about Katerina's work.

----------------------------------
This blog is written by Dr Katerina Michaelides, Head of Dryland Research Group at the School of Geographical Sciences and Cabot Institute for the Environment, University of Bristol.
Katerina Michaelides

Popular posts from this blog

Converting probabilities between time-intervals

This is the first in an irregular sequence of snippets about some of the slightly more technical aspects of uncertainty and risk assessment.  If you have a slightly more technical question, then please email me and I will try to answer it with a snippet. Suppose that an event has a probability of 0.015 (or 1.5%) of happening at least once in the next five years. Then the probability of the event happening at least once in the next year is 0.015 / 5 = 0.003 (or 0.3%), and the probability of it happening at least once in the next 20 years is 0.015 * 4 = 0.06 (or 6%). Here is the rule for scaling probabilities to different time intervals: if both probabilities (the original one and the new one) are no larger than 0.1 (or 10%), then simply multiply the original probability by the ratio of the new time-interval to the original time-interval, to find the new probability. This rule is an approximation which breaks down if either of the probabilities is greater than 0.1. For exa...

1-in-200 year events

You often read or hear references to the ‘1-in-200 year event’, or ‘200-year event’, or ‘event with a return period of 200 years’. Other popular horizons are 1-in-30 years and 1-in-10,000 years. This term applies to hazards which can occur over a range of magnitudes, like volcanic eruptions, earthquakes, tsunamis, space weather, and various hydro-meteorological hazards like floods, storms, hot or cold spells, and droughts. ‘1-in-200 years’ refers to a particular magnitude. In floods this might be represented as a contour on a map, showing an area that is inundated. If this contour is labelled as ‘1-in-200 years’ this means that the current rate of floods at least as large as this is 1/200 /yr, or 0.005 /yr. So if your house is inside the contour, there is currently a 0.005 (0.5%) chance of being flooded in the next year, and a 0.025 (2.5%) chance of being flooded in the next five years. The general definition is this: ‘1-in-200 year magnitude is x’ = ‘the current rate for eve...

Coconuts and climate change

Before pursuing an MSc in Climate Change Science and Policy at the University of Bristol, I completed my undergraduate studies in Environmental Science at the University of Colombo, Sri Lanka. During my final year I carried out a research project that explored the impact of extreme weather events on coconut productivity across the three climatic zones of Sri Lanka. A few months ago, I managed to get a paper published and I thought it would be a good idea to share my findings on this platform. Climate change and crop productivity  There has been a growing concern about the impact of extreme weather events on crop production across the globe, Sri Lanka being no exception. Coconut is becoming a rare commodity in the country, due to several reasons including the changing climate. The price hike in coconuts over the last few years is a good indication of how climate change is affecting coconut productivity across the country. Most coconut trees are no longer bearing fruits and ...