Investigating the Complexity of Runoff Series in the Yangtze River Using Sample Entropy

8 pages•Published: September 20, 2018

Abstract

Based on sample entropy, we investigated spatial distribution and dynamic change of runoff series complexity with the long-term daily runoff series of main stem in the Yangtze River. The results showed that, complexity of the runoff series show an obvious spatial difference, and an increasing trend from upstream to downstream in the Yangtze River. There are negative relationship between average of runoff sliding window and the corresponding sample entropy, and their peak-to-valley value shows the well corresponding relationships. Complexity of the runoff series at Yichang and Datong stations show a continuous increasing trend, while that of Hankou station an increasing trend after 2000. It could provide scientific reference for understanding of runoff series dynamic evolution in the Yangtze River.

Keyphrases: complexity, runoff series, sample entropy, yangtze river

In: Goffredo La Loggia, Gabriele Freni, Valeria Puleo and Mauro De Marchis (editors). HIC 2018. 13th International Conference on Hydroinformatics, vol 3, pages 2310-2317.

Links:	https://easychair.org/publications/paper/jtkq
	https://doi.org/10.29007/ttss

BibTeX entry

@inproceedings{HIC2018:Investigating_Complexity_Runoff_Series,
  author    = {Yuankun Wang and Dong Wang and Xiaorui Shi},
  title     = {Investigating the Complexity of Runoff Series in the Yangtze River Using Sample Entropy},
  booktitle = {HIC 2018. 13th International Conference on Hydroinformatics},
  editor    = {Goffredo La Loggia and Gabriele Freni and Valeria Puleo and Mauro De Marchis},
  series    = {EPiC Series in Engineering},
  volume    = {3},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2516-2330},
  url       = {/publications/paper/jtkq},
  doi       = {10.29007/ttss},
  pages     = {2310-2317},
  year      = {2018}}

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