Theoretical and Applied Climatology

, Volume 136, Issue 1–2, pp 489–497 | Cite as

Applications of multiple change point detections to monthly streamflow and rainfall in Xijiang River in southern China, part II: trend and mean

  • Yongqin David Chen
  • Jianmin JiangEmail author
  • Yuxiang Zhu
  • Changxing Huang
  • Qiang Zhang
Original Paper


This article, as part II, illustrates applications of other two algorithms, i.e., the scanning F test of change points in trend and the scanning t test of change points in mean, to both series of the normalized streamflow index (NSI) at Makou section in the Xijiang River and the normalized precipitation index (NPI) over the watershed of Xijiang River. The results from these two tests show mainly positive coherency of changes between the NSI and NPI. However, some minor negative coherency patches may expose somewhat impacts of human activities, but they were often associated with nearly normal climate periods. These suggest that the runoff still depends upon well the precipitation in the Xijiang catchment. The anthropogenic disturbances have not yet reached up to violating natural relationship on the whole in this river.


Change point Scanning detection Streamflow Rainfall Southern China 



This work is jointly supported by the Direct Grant from The Chinese University of Hong Kong, China (project no. 4052134), by the National Key Research and Development Program of China (2017YFC1502005), the China Meteorological Administration Special Found for Climate Change (CCSF201806), the China Meteorological Administration Special Found for Development of Weather Forecasting Key Technologies (YBGJXM(2018) 03-15), the National Natural Science Foundation of China (41505079 and 40705026), the National Department of Science and Technology - 863 projects (2008AA09A404-2).


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Copyright information

© Springer-Verlag GmbH Austria, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Geography and Resource Management, Institute of Environment, Energy and SustainabilityThe Chinese University of Hong KongShatinHong Kong
  2. 2.China Meteorological Administration Training CenterBeijingChina
  3. 3.Information Center (Hydrology Monitor and Forecast Center), Ministry of Water ResourcesBeijingChina
  4. 4.State Key Laboratory of Earth Surface Processes and Resource EcologyBeijing Normal UniversityBeijingChina

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