Developing An Impact Based Combined Drought Index For Monitoring Crop Yield Anomalies In The Upper Blue Nile Basin Ethiopia
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Developing an Impact-Based Combined Drought Index for Monitoring Crop Yield Anomalies in the Upper Blue Nile Basin, Ethiopia
Having a robust drought monitoring system for Ethiopia is crucial to mitigate the adverse impacts of droughts. Yet, such monitoring system still lacks in Ethiopia, and in the Upper Blue Nile (UBN) basin in particular. Several drought indices exist to monitor drought, however, these indices are unable, individually, to provide concise information on the occurrence of meteorological, agricultural and hydrological droughts. A combined drought index (CDI) using several meteorological, agricultural and hydrological drought indices can indicate the occurrence of all drought types, and can provide information that facilitates the drought management decision-making process. This thesis proposes an impact-based combined drought index (CDI) and a regression prediction model of crop yield anomalies for the UBN basin. The impact-based CDI is defined as a drought index that optimally combines the information embedded in other drought indices for monitoring a certain impact of drought, i.e. crop yield for the UBN. The developed CDI and the regression model have shown to be effective in indicating historic drought events in UBN basin. The impact-based CDI could potentially be used in the future development of drought monitoring in the UBN basin and support decision making in order to mitigate adverse drought impacts.
Climate change impacts on hydrology and water resources of the Upper Blue Nile River Basin, Ethiopia
Author: Kim, U., Kaluarachchi, J. J., Smakhtin, V. U.
language: en
Publisher: IWMI
Release Date: 2008
The report evaluates the impacts of climate change on the hydrological regime and water resources of the Blue Nile River Basin in Ethiopia. It starts from the construction of the climate change scenarios based on the outcomes of several general circulation models (GCMs), uses a simple hydrological model to convert theses scenarios into runoff, and examines the impacts by means of a set of indices. The results, however uncertain with existing accuracy of climate models, suggest that the region is likely to have the future potential to produce hydropower, increase flow duration, and increase water storage capacity without affecting outflows to the riparian countries in the 2050s.
Monitoring and Predicting Agricultural Drought
Author: Vijendra K. Boken
language: en
Publisher: Oxford University Press
Release Date: 2005-04-14
Basic concepts and drought analysis. Remote sensing. NOAA/AVHRR satellite data-based indices for monitoring agricultural droughts. The Americas. Europe, Russia, and the near east. Asia and Australia. International efforts and climate change.