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Exploring the Relationship between Rising Temperatures and the Number of Climate-Related Natural Disasters in China
Mingan Zhu1,2, Bihang Fan1
1State Key Laboratory of Hydraulics and Mountain River Engineering, College of Water Resource and Hydropower, Sichuan University, Chengdu 610065, China.
International Journal of Environmental Research and Public Health
|January 20, 2021
Summary
Global warming impacts natural disasters. This study reveals that while rising temperatures generally correlate with more disasters, specific cycles show independence, and warming periods actually decrease disaster frequency in China.
Area of Science:
- Climate Science
- Environmental Science
- Disaster Management
Background:
- Global warming significantly influences the frequency and intensity of natural disasters worldwide.
- Understanding regional variations in climate-related disaster patterns is crucial for effective mitigation strategies.
Purpose of the Study:
- To analyze the relationship between temperature fluctuations and climate-related natural disasters in China between 1951 and 2010.
- To investigate trends across an 11-year cycle and responses to rising and falling temperatures.
Main Methods:
- Morlet wavelet analysis was employed to identify temperature cycle periods.
- Arc elasticity coefficient was used to quantify disaster responses to temperature changes.
Main Results:
- A positive overall correlation was observed between temperature and the number of climate-related natural disasters.
- However, disaster patterns were independent of temperature variations at the cycle level.
- Temperature increases were linked to decreased disaster occurrences, while temperature drops led to substantial increases, indicating a stronger influence during cooling periods.
Conclusions:
- The relationship between temperature and natural disasters in China is complex and non-linear.
- Temperature decreases exert a more significant influence on the quantity of climate-related natural disasters than temperature increases.
- Findings aid in refining disaster warning and mitigation efforts under changing climate conditions.
Keywords:
climate changedisaster mitigationelasticity coefficienttime seriesvarying patternswavelet analysisMore Related Videos
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