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Wavelet-based variability on streamflow at 40-year timescale in the Black Sea region of Turkey

机译:土耳其黑海地区40年少年时光流的基于小波的可变性

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Under the effects of human activities and climate change, severe changes of stream discharge are observed in large river basins in the world. Accordingly, assessing the temporal variability in streamflow is crucial for better water resources planning and management. Thus, the aim of the present study was to perform monthly streamflow analyses using the wavelet transform and descriptive statistics. Temporal variability of streamflow data of nine stations (Yakabasi, Derecikviran, Durucasu, Sutluce, Kale, Gomeleonu, Simsirli, Tozkoy, and Topluca) for period of 1964-2007 to study the influence of climatic oscillations over the Black Sea Region of Turkey was analyzed. Although all studied time series presented annual periodicity, Kale, Gomeleonu, Simsirli, Tozkoy, and Topluca stations presented a semi-annual signal as well. However, some discontinuities in the annual periodicity were found in the Durucasu, Sutluce, and Kale time series between 1964 and 2007. Finally, the scale-average wavelet power time series for each station studied were used to perform a cluster analysis, and it was observed that Topluca station presented a particular spectrum or could form an isolate cluster together with Simsirli and Tozkoy stations, mainly due to the intermittent oscillations on the annual frequency observed after 1990.
机译:在人类活动和气候变化的影响下,世界上大河盆地观察了流放电的严重变化。因此,评估流流程中的时间变异对于更好的水资源规划和管理是至关重要的。因此,本研究的目的是使用小波变换和描述性统计来执行每月流流分析。 1964 - 2007年九个站的流出数据的时间变异性(Yakabasi,Derecikviran,Durucasu,Sutluce,Tozkoy和Topluca)分析了研究土耳其黑海地区气候振荡的影响。虽然所有研究的时间系列都呈现年度周期,羽衣甘蓝,Gomeleonu,Simsirli,Tozkoy和Topluca站也提出了半年信号。然而,在1964年和2007年之间的Durucasu,Sutluce和Kale时间序列中发现了一年期间的某些不连续性。最后,研究了所研究的每个站的尺度平均小波功率时间序列用于执行群集分析,它是观察到Topluca站呈现特定光谱或可以与Simsirli和Tozkoy站一起形成隔离集群,主要是由于1990年后观察到的年频率的间歇振荡。

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