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DOI | 10.1016/j.scitotenv.2018.09.369 |
A random forest model to predict heatstroke occurrence for heatwave in China | |
Wang, Yanwen1; Song, Qingqing2; Du, Yanjun1; Wang, Jiaonan1; Zhou, Jinhui1; Du, Zonghao1; Li, Tiantian1 | |
发表日期 | 2019 |
ISSN | 0048-9697 |
EISSN | 1879-1026 |
卷号 | 650页码:3048-3053 |
英文摘要 | Extreme heat events have recently become more frequent and represent an increasing risk of damage to public health. However, the existing prediction of heatwave related health effects has limited representativeness and verification. Our study addressed the prediction of heatstroke occurrences based on three years' data of typical cities of hot temperature in China, and examined the importance ranks of model parameters including meteorological and socioeconomic status (SES) factors. The results show that meteorological factors contributed the most to model estimation of the parameters evaluated, and SES parameters, such as the search index, were also important indicators of heatstroke prediction. The model had a satisfying performance compared to traditional linear regression models. The model established in our study can be further applied to extreme weather-related impact research and reduce economic loss due to public health expenses. (C) 2018 Elsevier B.V. All rights reserved. |
WOS研究方向 | Environmental Sciences & Ecology |
来源期刊 | SCIENCE OF THE TOTAL ENVIRONMENT
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/93363 |
作者单位 | 1.Chinese Ctr Dis Control & Prevent, Natl Inst Environm Hlth, Beijing 100021, Peoples R China; 2.Peking Univ, Sch Publ Hlth, Beijing 100191, Peoples R China |
推荐引用方式 GB/T 7714 | Wang, Yanwen,Song, Qingqing,Du, Yanjun,et al. A random forest model to predict heatstroke occurrence for heatwave in China[J],2019,650:3048-3053. |
APA | Wang, Yanwen.,Song, Qingqing.,Du, Yanjun.,Wang, Jiaonan.,Zhou, Jinhui.,...&Li, Tiantian.(2019).A random forest model to predict heatstroke occurrence for heatwave in China.SCIENCE OF THE TOTAL ENVIRONMENT,650,3048-3053. |
MLA | Wang, Yanwen,et al."A random forest model to predict heatstroke occurrence for heatwave in China".SCIENCE OF THE TOTAL ENVIRONMENT 650(2019):3048-3053. |
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