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Articles by Ercan Kahya
Total Records ( 2 ) for Ercan Kahya
  Ercan Kahya and M. Cuneyd Demirel
  In this study, three clustering algorithms which use agglomerative clustering procedure to identify groups of similar catchments are investigated to determine their effectiveness in low flow clustering scheme. These hierarchical clustering algorithms are single linkage, complete linkage and Ward`s algorithms. The effectiveness of the cluster analysis algorithms is investigated by using monthly minimum streamflow data recorded from watersheds in Turkey with the period of 1964-1994. Furthermore one of cluster validity indices (namely, cophenet correlation coefficient index) is used to strengthen our results. The hierarchical cluster analysis is found to be useful in minimizing efforts needed to identify homogeneous clusters. Ward`s algorithm with Euclidean metric is the one to decrease the variance in each group and appears to be favourable in the applications of low-flow. The results and comparison with our previous studies are also presented in the thematic maps.
  Ercan Kahya and Turgay Partal
  The purpose of this study is mainly to determine trends in precipitation variable for seasonal average of monthly totals using a non-parametric test, namely Mann-Kendall. The correlation structure in the data was accounted for in determining the significance level of the results of the Mann-Kendall test. We examined 96 precipitation stations across Turkey to reflect regional hydroclimatic conditions. Seasonal average precipitations of the monthly totals are formed at each individual station whose record length spans from 1929 to 1993. The analysis showed that the series of winter precipitation had decreasing trends (statistically significant at the 5% level) in 23 stations along the southwest-northeast direction. However, the other seasonal precipitation series showed less positive or negative significant trends.
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