الفهرس 
Climate change
Study Area and Data CollectingOnly 14 pages are availabe for public view
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Abstract
In this chapter, the main summaries and important conclusions are stated. It also provides some recommendations for future research. This study attempted to improve the understanding of the climate variability in Upper Blue Nile River Basin through use of a set of statistical techniques on a long-term climatic datasets (113-years; 1901-2013) from 30 precipitation stations and 29 temperature stations (115-years; 1901-2015). The climatic variables chosen are mean surface air temperature and total precipitation. The scales of analysis were seasonal and annual. Monthly data were used from ECRI- NWRC for historical observations from 30 stations across Upper Blue Nile River Basin. Prior to the trend analysis, homogeneity tests were applied to check the quality and reliability in the data-series. The Mann-Kendall test (MK) and the Sen’s slope estimator were applied to quantify the significance of trend and magnitude of trend, respectively. Moving average technique was applied at 5, 10, 15, 20, and 25 years moving the average to detect a shift in the mean of hydrological time series. Surface interpolation technique was used to prepare a spatial precipitation data map over Upper Blue Nile River Basin from the point precipitation measuring stations within the Arc-GIS framework. For spatial distribution of precipitation and trends in maps are generated using ordinary Kriging. The trend of out flow from river at Diem statin was analysed used monthly flow data (1951-1990) and studied the correlation between precipitation, temperature and flow.