Journal of Earth System Science
Author:
Keywords:
Science & Technology, Physical Sciences, Geosciences, Multidisciplinary, Multidisciplinary Sciences, Geology, Science & Technology - Other Topics, Change point, correlation, precipitation, river flow, time scale, trend analysis, CHANGE-POINT DETECTION, TREND ANALYSIS, YANGTZE-RIVER, STREAMFLOW TRENDS, TEMPERATURE, VARIABILITY, SERIES, BASIN, PROJECTIONS, WEST, 0201 Astronomical and Space Sciences, 0403 Geology, 0406 Physical Geography and Environmental Geoscience, Geochemistry & Geophysics, 3701 Atmospheric sciences, 3702 Climate change science, 3709 Physical geography and environmental geoscience
Abstract:
© Indian Academy of Sciences. This study investigates trend and change point in the annual and monthly precipitation and river discharge time series for a 56-year period (1956/57-2011/12). The analyses were carried out for 17 rain gauge stations and 13 hydrometric stations located in the southwest regions of Iran. Five statistical tests of Mann-Kendall, Spearman, Sequential Mann-Kendall, Pettitt and Sen’s slope estimator were utilized for the analysis. The relationships between the precipitation and river discharge series were also examined by the Pearson correlation test. The results obtained for the precipitation time series indicated that most of the stations were characterized by insignificant trends for both the annual and monthly series. The analysis of discharge trends revealed a significant increase during both the annual and October through April series. The magnitude of significant increasing trends in annual river discharge ranged between 6.65 and 20.49 m3/s per decade. The highest number of significant trends in the monthly river discharge series was observed in January and February, accounting for seven and four trends respectively. Furthermore, most of the annual and monthly river discharge series showed significant change points in the 1970s. It was also found that river discharge was strongly correlated with precipitation at the annual scale and for most of the months.