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季风转换对深圳地区呼吸系统疾病的影响及预测研究

吴千鹏 尹立 李兴荣 孙羽 黄开龙 苏春芳 王式功

沙漠与绿洲气象2023,Vol.17Issue(6):32-40,9.
沙漠与绿洲气象2023,Vol.17Issue(6):32-40,9.DOI:10.12057/j.issn.1002-0799.2023.06.005

季风转换对深圳地区呼吸系统疾病的影响及预测研究

Study of the Influence of Monsoon Change on Respiratory Patients and the Prediction Model in Shenzhen Area

吴千鹏 1尹立 2李兴荣 3孙羽 4黄开龙 5苏春芳 4王式功1

作者信息

  • 1. 成都信息工程大学大气科学学院/环境气象与健康研究院,四川 成都 610225
  • 2. 攀枝花市中心医院气象医学研究中心,四川 攀枝花 617000
  • 3. 深圳市气象局,广东 深圳 518040
  • 4. 海南省第二人民医院气候医学研究中心,海南 五指山 572299
  • 5. 汕头市气象局,广东 汕头 515041
  • 折叠

摘要

Abstract

This paper used the data on the number of patients with respiratory disease、meteorological factors and pollutant concentration from 2015 to 2016 to construct a prediction model for the admission visits from respiratory disease by using BP artificial neural network and LSTM network.The results showed that the cold stress effect of winter monsoon would increase the incidence of respiratory diseases in related populations fluctuating from September to the peak of March before the transition from winter wind to summer wind in the following year.During the summer wind control period,the incidence of respiratory diseases among local residents fluctuated and decreased,which was 35%lower than that during the peak period.In addition,the main control factors of respiratory diseases were different.Compared with the two prediction models,on the whole,the LSTM network forecasting model has a higher accuracy rate in predicting the risk of respiratory diseases in Shenzhen,which can meet the business needs of health weather forecasting services.

关键词

季风转换/呼吸系统疾病/气象与污染条件/人工神经网络/LSTM网络/预测模型

Key words

monsoon transition/respiratory diseases/meteorological and pollution conditions/artificial neural network/LSTM network/prediction model

分类

天文与地球科学

引用本文复制引用

吴千鹏,尹立,李兴荣,孙羽,黄开龙,苏春芳,王式功..季风转换对深圳地区呼吸系统疾病的影响及预测研究[J].沙漠与绿洲气象,2023,17(6):32-40,9.

基金项目

攀枝花市科学技术局创新中心建设项目(2021ZX-5-1) (2021ZX-5-1)

2021年省级科技计划转移支付专项资金项目(21ZYZF-S-01) (21ZYZF-S-01)

中国气象局西南区域气象中心创新团队基金(XNQYCXTD-202203) (XNQYCXTD-202203)

2021年度第二批攀枝花市市级科技计划项目(2021CY-S-4) (2021CY-S-4)

沙漠与绿洲气象

OACSTPCD

2097-6801

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