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An ecological study of the effects of varying heatwave intensities on outpatient visits for respiratory diseases in Handan city
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Xing-shan ZHANG1, Gui-qin FU2, 3, *, Hua-yue LIU2, Meng LI1, **, Yang ZHANG1, Liang ZHAO4
China Environmental Science | 2025, 45(11) : 6433 - 6439
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China Environmental Science | 2025, 45(11): 6433-6439
• Environmental Toxicology and Environmental Health •
An ecological study of the effects of varying heatwave intensities on outpatient visits for respiratory diseases in Handan city
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Xing-shan ZHANG1, Gui-qin FU2, 3, *, Hua-yue LIU2, Meng LI1, **, Yang ZHANG1, Liang ZHAO4
Affiliations
  • 1.Handan Meteorological Bureau, Handan 056001, China
  • 2. Hebei Meteorological Service Center, Shijiazhuang 050021, China
  • 3.Key Laboratory of Meteorology and Ecological Environment of Hebei Province, Shijiazhuang 050021, China
  • 4.State Key Laboratory of Numerical Modeling for Atmosphere Sciences and Geophysical Fluid Dynamics (LASG), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
Published: 2025-11-20
Outline
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In the context of global climate change, the health impacts of heatwave events exhibit marked regional heterogeneity, posing a severe threat to public health. This study analyzed daily respiratory disease outpatient data, meteorological monitoring data, and air pollution data from Handan City (2016~2021) using a Generalized Additive Model (GAM) to evaluate the risk of respiratory disease visits under 12 heatwave definitions (based on P96-P99 percentile thresholds lasting 2~4 days). Results demonstrate significant definition-dependent variability in heatwave frequency and duration: extreme heatwaves (P99 threshold, 4days) occurred only twice (9 cumulative days) over six years, while moderate heatwaves (P96 threshold, 2days) reached 20 occurrences (66 cumulative days). During heatwave periods, temperatures were significantly higher with reduced variability compared to non-heatwave periods, accompanied by statistically significant differences in daily outpatient volumes.Forheatwaves lasting 2~3 days, health risks initially increased and then decreased with rising intensity, whereas for events lasting 4 days, risks progressively declined with increasing intensity. Peak risks for P96-P98-defined heatwaves occurred at lag 3~5 days, while P99-defined extreme heatwaves showed immediate peak risks at lag1day. Long-duration heatwaves ((4days) posed significantly higher and more prolonged risks compared to short-duration events ((2days). All heatwave types exhibited a "bimodal lag pattern" with acute (lag 0~3) and delayed (lag 5~7) effect phases. The risk profile for low-intensity, short-duration heatwaves was relatively stable, whereas high-intensity, long-duration events demonstrated greater risk fluctuations. These findings provide regionally tailored evidence to inform the development of dynamic heatwave health early warning systems.

heatwave  /  respiratory diseases  /  generalized additive model  /  lag effect
张兴山, 付桂琴, 刘华悦, 李猛, 张阳, 赵亮. 不同热浪强度对邯郸市呼吸系统疾病门诊就诊人数影响的生态学研究. 中国环境科学, 2025 , 45 (11) : 6433 -6439 .
Xing-shan ZHANG, Gui-qin FU, Hua-yue LIU, Meng LI, Yang ZHANG, Liang ZHAO. An ecological study of the effects of varying heatwave intensities on outpatient visits for respiratory diseases in Handan city[J]. China Environmental Science, 2025 , 45 (11) : 6433 -6439 .
Year 2025 volume 45 Issue 11
77
15
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Article Info
  • Receive Date:2025-04-17
  • Online Date:2026-10-08
  • Published:2025-11-20
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  • Received:2025-04-17
Funding
Affiliations
    1.Handan Meteorological Bureau, Handan 056001, China
    2. Hebei Meteorological Service Center, Shijiazhuang 050021, China
    3.Key Laboratory of Meteorology and Ecological Environment of Hebei Province, Shijiazhuang 050021, China
    4.State Key Laboratory of Numerical Modeling for Atmosphere Sciences and Geophysical Fluid Dynamics (LASG), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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