Assessment of spatiotemporal variability of precipitation using entropy indexes: a case study of Beijing, China

Entropy indexes are widely used to measure the complexity of precipitation and its spatiotemporal variability, due to their advantages in quantifying the complex and nonlinear interactions of climate variables. However, different entropy indexes may provide different outcomes on the complexity of pr...

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Bibliographic Details
Published in:	Stochastic environmental research and risk assessment Vol. 36; no. 4; pp. 939 - 953
Main Authors:	Du, Longgang, Li, Xinxin, Yang, Moyuan, Sivakumar, Bellie, Zhu, Yanxin, Pan, Xingyao, Li, Zhijia, Sang, Yan-Fang
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer Berlin Heidelberg 01-04-2022 Springer Nature B.V
Subjects:	Aquatic Pollution Chemistry and Earth Sciences Climate Climate change Climate variability Complexity Computational Intelligence Computer Science Earth and Environmental Science Earth Sciences Entropy Entropy (Information theory) Environment Hydrologic data Math. Appl. in Environmental Science Mountain regions Mountains Original Paper Permutations Physics Precipitation Probability Theory and Stochastic Processes Reliability analysis Stability analysis Statistics for Engineering Suburban areas Urban areas Urbanization Variability Waste Water Technology Water Management Water Pollution Control Weather stations Beijing China China Precipitation Entropy Spatial pattern Climate variability Complexity
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