Lakes are integrator of environmental changes occurring at a regional to global scale and present a high variety of behaviors on a variety of time scale. Their crucial importance as water stocks and retaining given the significant environmental changes occurring worldwide at many anthropocentric levels has increased the necessity of monitoring all its morphodynamic characteristics i.e. water level, surface area and volume. In this paper a 57 years water level data obtained by combining Bahir Dar gauge station and satellite altimetry were analyzed for detection of trend using the non-parametric Mann-Kendall test in combination with the trend-free pre-whitening approach for correcting time series data sets for serial correlation. Sen’s slope method, a non-parametric alternative for estimating a slope for a univariate time series was used to determine the magnitude of trends.
Authors and Publishers
Diress, Sintayehu Abie
Bedada, Tulu Besha
African Journal on Land Policy and Geospatial Sciences is a journal specialized in publishing research activities carried out in the field of geo-spatial sciences and land governance. It aims to encourage innovation, promote the exchange of knowledge and scientific outcomes related to its themes. The journal's target community is made-up of researchers, professors and professionals working in the newspaper field. The journal also aims to promote scientific articles and productions at the African, regional and global levels.
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African Journal on Land Policy and Geospatial Sciences is a journal specialized in publishing research activities carried out in the field of geo-spatial sciences and land governance. It aims to encourage innovation, promote the exchange of knowledge and scientific outcomes related to its themes. The journal's target community is made-up of researchers, professors and professionals working in the newspaper field. The journal also aims to promote scientific articles and productions at the African, regional and global levels.