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Web-Based Data to Quantify Meteorological and Geographical Effects on Heat Stroke: Case Study in China
Qinmei Han1,2,3, Zhao Liu4, Junwen Jia5
1State Key Laboratory of Earth Surface Processes and Resource Ecology Beijing Normal University Beijing China.
Geohealth
|August 11, 2022
Summary
Heat stroke risk increases with temperature and humidity. This study identifies thresholds for heat stroke onset in China, aiding public health warnings.
Area of Science:
- Environmental Health
- Climatology
- Public Health
Background:
- Heat stroke is a severe, potentially fatal heat-related illness.
- Understanding the link between meteorological factors and heat stroke is crucial for public health.
- Limited data has hindered large-scale analysis of heat stroke and weather patterns.
Purpose of the Study:
- To investigate the relationship between meteorological variables and heat stroke incidence.
- To quantify the meteorological thresholds that trigger heat stroke.
- To analyze geographical variations in these thresholds across China.
Main Methods:
- Collected daily heat stroke search index (HSSI) and meteorological data from 333 Chinese cities (2013-2020).
- Employed correlation analysis and a Random Forest (RF) model to assess variable relationships.
- Analyzed temperature and relative humidity (RH) thresholds, considering geographical factors like altitude and proximity to the coast.
Main Results:
- Temperature and RH explained 62% and 9% of HSSI variations, respectively.
- Heat stroke may begin above 36°C and 58% RH nationally.
- Regional thresholds varied: North China (34.5°C, 79% RH), South China (36°C, 48% RH).
- Temperature thresholds differed between inland (35.5°C) and coastal (36.5°C) cities, and high-altitude (35.5°C) and low-altitude (36°C) areas.
Conclusions:
- Meteorological factors, particularly temperature, significantly influence heat stroke risk.
- Quantified thresholds provide critical data for developing targeted public health interventions.
- Geographical variations highlight the importance of localized climate data for heat wave warnings and heat stroke prevention strategies.
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