Detecting seasonal cycle shift on streamflow over Turkey by using multivariate statistical methods

Climate change analysis includes the study of several types of variables such as temperature, precipitation, carbon emission, and streamflow. In this study, we focus on basin hydrology and, in particular, on streamflow values. They are geographic and climatologic indicators utilized in the study of...

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Bibliographic Details
Published in:Theoretical and applied climatology 2018-08, Vol.133 (3-4), p.1143-1161
Main Authors: Yildiz, Dogan, Gunes, Mehmet Samil, Gokalp Yavuz, Fulya, Yildiz, Dursun
Format: Article
Language:English
Subjects:
Aquatic Pollution
Atmospheric Protection/Air Quality Control/Air Pollution
Atmospheric Sciences
Basins
Climate change
Climate effects
Climate science
Climatic analysis
Climatology
Cluster analysis
Clustering
Data processing
Earth and Environmental Science
Earth Sciences
Emission analysis
High flow
Hydrologic data
Hydrology
Low flow
Multidimensional scaling
Multivariate analysis
Original Paper
Precipitation
Scaling
Seasonal variation
Statistical analysis
Statistical methods
Stream discharge
Stream flow
Streamflow data
Waste Water Technology
Water Management
Water Pollution Control
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Summary:Climate change analysis includes the study of several types of variables such as temperature, precipitation, carbon emission, and streamflow. In this study, we focus on basin hydrology and, in particular, on streamflow values. They are geographic and climatologic indicators utilized in the study of basins. We analyze these values to better understand monthly and seasonal change over a 40-year period for all basins in Turkey. Our study differs from others by applying multivariate analysis into the streamflow data implementations rather than on trend, frequency, and/or distribution-based analysis. The characteristics of basins and climate change effects are visualized and examined with monthly data by using cluster analysis, multidimensional scaling, and gCLUTO (graphical Clustering Toolkit). As a result, we classify months as low-flow and high-flow periods. Multidimensional scaling proves that there is a clockwise movement of months from one decade to the next, which is the indicator of seasonal shift. Finally, the gCLUTO tool is utilized in a novel way in the hydrology field by revealing the seasonal change and visualizing the current changing structure of streamflow.
ISSN:0177-798X
1434-4483
DOI:10.1007/s00704-017-2242-2