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Spatio-Temporal Evolution Analysis of Drought Based on Cloud Transformation Algorithm over Northern Anhui Province
Xia Bai1,2, Yimin Wang1, Juliang Jin3
1State Key Laboratory of Eco-Hydraulics in Northwest Arid Region, Xi'an University of Technology, Xi'an 710048, China.
Entropy (Basel, Switzerland)
|December 8, 2020
Summary
This study introduces a novel Cloud theory approach to analyze drought evolution in China, improving risk management strategies. Findings highlight severe drought periods and regional variations, informing disaster preparedness.
Area of Science:
- Hydrology
- Climatology
- Disaster Management
Background:
- Drought is a frequent and severe natural disaster in China, necessitating effective risk management strategies.
- Understanding drought evolution is crucial for developing robust disaster management schemes.
Purpose of the Study:
- To propose and apply a novel Cloud theory-based approach for analyzing drought spatio-temporal evolution.
- To re-fit the Standardized Precipitation Index (SPI) distribution using Cloud theory and a conception zooming coupling model.
- To summarize drought evolution features using cloud characteristics, average, entropy, and hyper-entropy.
Main Methods:
- Application of Cloud theory and cloud transformation algorithm.
- Development of a conception zooming coupling model to re-fit SPI distribution.
- Spatio-temporal analysis of drought using cloud characteristics (average, entropy, hyper-entropy).
Main Results:
- The most severe drought in Northern Anhui occurred from 1957-1970, with 49 months below SPI12 index -0.5 and 12 months of extreme drought.
- Drought intensity showed seasonal variations: highest certainty/lowest stability in winter, opposite in summer.
- Drought hazard increased with latitude, with Suzhou and Huaibei experiencing the most severe drought.
Conclusions:
- The Cloud theory-based drought evolution analysis provides reliable insights for drought risk management.
- The findings offer an effective decision-making basis for establishing drought risk management strategies in China.
- Seasonal and latitudinal variations in drought intensity are significant factors for regional disaster preparedness.
Keywords:
Northern Anhui provincecloud transformation algorithmconceptual zoomingdrought evolution analysisentropyuncertaintyMore Related Videos
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