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[1]LIU Xin.Analysis of Variation Characteristics of Runoff in Dalinghe River Basin[J].Research of Soil and Water Conservation,2015,22(02):165-170.

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Analysis of Variation Characteristics of Runoff in Dalinghe River Basin

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 22 Number of periods: 2015 02 Page number: 165-170 Column: Public date: 2015-04-28

Title:: Analysis of Variation Characteristics of Runoff in Dalinghe River Basin

Author(s):: LIU Xin^1,2; 1. Shenyang Agricultural University, Shenyang 110866, China;
2. Liaoningjianghe Water Conservancy and Hydropower New Technology Design Research Institute, Shenyang 110003, China

Keywords:: Dalinghe River basin; runoff; evolution law

CLC:: TV121

DOI:: -

Abstract:: The evolution regularities of the monthly runoff time-series of hydro-meteorological data from 7 stations distributing in different areas of Dalinghe River basin during the period of 1961—2010 were analyzed in this paper. The variation and skewness coefficients, Mann-Kendall trend test, complex Morlet wavelet and runoff concentration degree (RCD) were used to investigate the inhomogeneity, trends, cycle and concentration of the monthly runoff time-series. The results demonstrated that the most runoff flow presented in July and August and the most uneven distribution within a year occurred in 1960s, respectively. The RCD synchronization of three stations in the main stream maintained relatively good state before some new reservoirs were built. But after the operation of these reservoirs, the RCD synchronization gradually weakened and a decrease in annual distribution differences was found after 2000. With respect to the interannual variability, all the runoff time-series from 7 stations showed a significant dropping—dropping—increasing—dropping trend. Moreover, Mann-Kendall trend test proved that the runoff flow of Dalinghe River decreased obviously and the abrupt negative trend shift at Linghai station became significant around the year of 1980. Abrupt changes were not found at Habaqi station within the confidence interval. Periodic analysis via complex Morlet wavelet indicated a strong cycling was found in the runoff time-series with a 26-year main cycle from both Linghai and Habaqi.

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