Trend analysis of streamflow in Turkey

被引:425
作者
Kahya, E [1 ]
Kalayci, S
机构
[1] Tech Univ Istanbul, Dept Civil Engn, Hydraul Div, TR-34469 Istanbul, Turkey
[2] Selcuk Univ, Dept Civil Engn, Konya, Turkey
关键词
climate change; Mann-Kendall test; non-parametric tests; streamflow variability; trend analysis; Turkey;
D O I
10.1016/j.jhydrol.2003.11.006
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This paper presents trends computed for the 31-year period of monthly streamflows obtained from 26 basins over Turkey. Four non-parametric trend tests (the Sen's T, the Spearman's Rho, the Mann-Kendall, and the Seasonal Kendall which are known as appropriate tools in detecting linear trends of a hydrological time series) are adapted in this study. Moreover, the Van Belle and Hughes' basin wide trend test is included in the analysis for the same purpose. Homogeneity of trends in monthly streamflows is also tested using a procedure developed by Van Belle and Hughes. Thus, this study includes a complete application of both the Van Belle and Hughes' tests for homogeneity of trends and basin wide trend (originally developed for trend detection in water quality data) on a hydroclimatic variable. As a result, basins located in western Turkey, in general, exhibit downward trend, significant at the 0.05 or lower level, whereas basins located in eastern Turkey show DO trend. In most cases, the first four tests provide the same conclusion about trend existence. Use of the Seasonal Kendall. which involves a single overall statistic rather than one statistic for each season, is justified by the homogeneity of trend test. Moreover, some basins located in southern Turkey exhibit a global trend, implying the homogeneity of trends in seasons and stations together, based on the Van Belle and Hughes' basin wide trend test. (C) 2003 Elsevier B.V. All rights reserved.
引用
收藏
页码:128 / 144
页数:17
相关论文
共 40 条
[1]  
Balling Robert C., 1992, HEATED DEBATE GREENH
[2]   Detection of hydrologic trends and variability [J].
Burn, DH ;
Elnur, MAH .
JOURNAL OF HYDROLOGY, 2002, 255 (1-4) :107-122
[3]  
Cayan D.R., 1989, GEOPHYS MONOGR SER, P375, DOI DOI 10.1029/GM055P0375
[4]  
Cullen HM, 2000, INT J CLIMATOL, V20, P853, DOI 10.1002/1097-0088(20000630)20:8&lt
[5]  
853::AID-JOC497&gt
[6]  
3.0.CO
[7]  
2-M
[8]   Trends in floods and low flows in the United States: impact of spatial correlation [J].
Douglas, EM ;
Vogel, RM ;
Kroll, CN .
JOURNAL OF HYDROLOGY, 2000, 240 (1-2) :90-105
[9]   A NONPARAMETRIC TREND TEST FOR SEASONAL DATA WITH SERIAL DEPENDENCE [J].
HIRSCH, RM ;
SLACK, JR .
WATER RESOURCES RESEARCH, 1984, 20 (06) :727-732
[10]   TECHNIQUES OF TREND ANALYSIS FOR MONTHLY WATER-QUALITY DATA [J].
HIRSCH, RM ;
SLACK, JR ;
SMITH, RA .
WATER RESOURCES RESEARCH, 1982, 18 (01) :107-121