Application of complex networks for monthly rainfall dynamics over central Vietnam

Adequate understanding of the temporal connections in rainfall is important for reliable predictions of rainfall and, hence, for water resources planning and management. This research aims to study the temporal connections in rainfall using complex networks concepts. First, the single-variable rainf...

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Veröffentlicht in:	Stochastic environmental research and risk assessment Jg. 35; H. 3; S. 535 - 548
Hauptverfasser:	Ghorbani, Mohammad Ali, Karimi, Vahid, Ruskeepää, Heikki, Sivakumar, Bellie, Pham, Quoc Bao, Mohammadi, Fatemeh, Yasmin, Nazly
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2021 Springer Nature B.V
Schlagworte:	Annual rainfall Aquatic Pollution Chemistry and Earth Sciences Computational Intelligence Computer Science Delay time Earth and Environmental Science Earth Sciences Elevation Embedding Entropy Environment Hydrologic data Interpolation Math. Appl. in Environmental Science Mathematical analysis Networks Nodes Original Paper Physics Probability Theory and Stochastic Processes Rain gauges Rainfall Resource management River basins Stations Statistics for Engineering Time series Waste Water Technology Water Management Water Pollution Control Water resources Vietnam Rainfall Entropy Delay embedding method Phase space Network strength Complex networks
ISSN:	1436-3240, 1436-3259
Online-Zugang:	Volltext
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