Abstract:
Drought is one of the most complex naturally occurring disasters that results in serious human
life, environmental, social and economic costs around the world. Particularly, agricultural
drought in developing countries like Ethiopia is very disastrous causing population
displacement, food shortage, loss of life and reduction of agricultural output.. This drought
causes serious economic, social, food security and environmental problems. The overall
objective of this study was to investigate characterization of drought and its impact on farmers
livelihood in Haramaya Woreda. To address this objective mixed method research approach
using explanatory sequential research design selected. Relevant data were collected from 355
households sampled from purposely selected three kebeles of Haramaya Woreda. The sample
households were selected by using systematic sampling method. Both primary and secondary
sources of data were employed. Both satellite remote sensing data and socioeconomic data was
utilized in this research. In addition, key informant interviews, questionnaires, field observation
and focus group discussions were employed to identify drought early warning practices and
drought coping strategies of households. Secondary data were collected from relevant agencies,
websites, published journals, magazines, articles and government office report documents as
well as reports for the respective study areas. Seasonal and annual rainfall data of 1991 to 2020
was collected from National Meteorological Service Agency (NMSA) of Ethiopia. While, the
Standardized Precipitation Evaporation Index (SPEI) and Normalized Difference Vegetation
Index (NDVI) were applied to characterize the agricultural drought conditions in Haramaya
Woreda from 1991 to 2020. Accordingly, the study areas are more vulnerable to agricultural
drought Hence, during the specified years it can be concluded that the majority of the study area
were hit by agricultural drought. Severe and extreme drought event in the study area is
commenced nearly once in three years while, the frequency of drought occurrence was five times
in the study areas. The drought severity index results indicated the occurrence of agricultural
drought, although the spatial coverage of extreme dry conditions. In 2006, 2007 and 2013
experienced moderate drought conditions, whereas severe drought affected 36% of the region.
The normalized difference vegetation index results indicated the presence of extremely wet and
severely wet conditions. According to the result year 1991 and 2020 were considered as drought
year in which minimum NDVI was observed and rainfall was registered. While, in year
2013 and 2020 maximum rainfall and NDVI was observed and considered as wet year.
Therefore, the study recommends policies aimed at promoting coping strategies for agricultural
drought, need to emphasize the significant role of providing assistance and valid information on
time will enhance the resilience of farmers at the individual and community level.