National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China; China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China.
School of Linkong Economics and Management, Beijing Institute of Economics and Management, Beijing, China.
Lancet Planet Health. 2024 Oct;8(10):e723-e733. doi: 10.1016/S2542-5196(24)00202-X.
Climate-change-induced extreme precipitation events have attracted global attention; however, the associated excess deaths burden has been insufficiently explored and remains unclear.
We first defined an extreme precipitation event for each county when the daily total precipitation exceeded the county-specific 99·5th percentile of the daily precipitation from 1986 to 2005; then we estimated the associations between extreme precipitation events and cause-specific deaths in 280 Chinese counties using a two-stage time-series model. Second, we projected the excess deaths related to extreme precipitation events by combining the bias-corrected multi-model precipitation predictions derived under different combined emission-population scenarios of three representative concentration pathways (RCPs; RCP2·6, RCP4·5, and RCP8·5) and three shared socioeconomic pathways (SSP2, a business-as-usual scenario) populations (S1, low fertility rate; S2, medium fertility rate; and S3, high fertility rate). We quantified the climate and population contributions to the changes of future excess deaths nationwide and by climatic zones.
Compared with the non-extreme precipitation days, the percentage increase of deaths associated with exposure to extreme precipitation days is 13·0% (95% CI 7·0-19·3) for accidental cause, 4·3% (2·0-6·6) for circulatory disease, and 6·8% (2·8-10·9) for respiratory disease. The number of annual average excess deaths related to extreme precipitation events during 1986-2005 was 2644 (95% CI 1496-3730) for accidental cause, 69 (33-105) for circulatory disease, and 181 (79-279) for respiratory disease. In the 2030s, the total number of excess deaths of these three causes will increase by 1244 (43%), 1756 (61%), and 2008 (69%) under RCP2·6, RCP4·5, and RCP8·5 scenarios combined with a medium-fertility-rate population (SSP2-S2), respectively, but will decrease by 3% under RCP2·6-SSP2-S2 and increase by 25% under RCP8·5-SSP2-S2 in the 2090s. Humid and water-limited regions in subtropical, middle-temperate, and plateau climate zones will face highly increased risks. Climate and population factors contributed disproportionally among the five climate zones.
This study is the largest integrated projection exploring the disease burden associated with extreme precipitation events. The excess deaths will be amplified by climate and population changes. Improving mitigation and adaptation capacities is crucial when responding to precipitation extremes.
National Natural Science Foundation of China and Wellcome Trust.
气候变化引起的极端降水事件引起了全球关注,但相关的超额死亡负担尚未得到充分探讨,情况尚不清楚。
我们首先定义了一个极端降水事件,即在 1986 年至 2005 年期间,当每日总降水量超过该县特定的 99.5%日降水量百分位值时,每个县的每日总降水量;然后,我们使用两阶段时间序列模型,估计了 280 个中国县的极端降水事件与特定病因死亡之间的关联。其次,我们通过结合三种代表性浓度途径(RCP;RCP2.6、RCP4.5 和 RCP8.5)和三种共享社会经济途径(SSP;S2,一种常规情景)人口(S1,低生育率;S2,中生育率;S3,高生育率)下得出的经偏差修正的多模型降水预测,来预测与极端降水事件相关的超额死亡人数。我们量化了气候和人口因素对全国和气候区未来超额死亡人数变化的贡献。
与非极端降水日相比,暴露于极端降水日相关的死亡百分比增加分别为意外原因 13.0%(95%CI 7.0-19.3)、循环系统疾病 4.3%(2.0-6.6)和呼吸系统疾病 6.8%(2.8-10.9)。1986-2005 年期间与极端降水事件相关的年平均超额死亡人数分别为意外原因 2644 人(95%CI 1496-3730)、循环系统疾病 69 人(33-105)和呼吸系统疾病 181 人(79-279)。在 2030 年代,在 RCP2.6、RCP4.5 和 RCP8.5 情景下,结合中生育率人口(SSP2-S2),这三种病因的总超额死亡人数将分别增加 1244(43%)、1756(61%)和 2008(69%),而在 RCP2.6-SSP2-S2 下将减少 3%,在 RCP8.5-SSP2-S2 下将增加 25%。在亚热带、中温带和高原气候区的湿润和缺水地区将面临更高的风险。气候和人口因素在五个气候区之间的贡献不成比例。
本研究是探索与极端降水事件相关的疾病负担的最大综合预测。气候和人口变化将使超额死亡人数增加。在应对降水极端事件时,提高缓解和适应能力至关重要。
国家自然科学基金委员会和惠康信托基金会。