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气候变化下极端降水的全球社会经济风险

Global Socioeconomic Risk of Precipitation Extremes Under Climate Change.

作者信息

Liu Yujie, Chen Jie, Pan Tao, Liu Yanhua, Zhang Yuhu, Ge Quansheng, Ciais Philippe, Penuelas Josep

机构信息

Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences (CAS) Beijing China.

University of Chinese Academy of Sciences (UCAS) Beijing China.

出版信息

Earths Future. 2020 Sep;8(9):e2019EF001331. doi: 10.1029/2019EF001331. Epub 2020 Aug 30.

Abstract

Precipitation extremes are among the most serious consequences of climate change around the world. The observed and projected frequency and intensity of extreme precipitation in some regions will greatly influence the social economy. The frequency of extreme precipitation and the population and economic exposure were quantified for a base period (1986-2005) and future periods (2016-2035 and 2046-2065) based on bias corrected projections of daily precipitation from five global climatic models forced with three representative concentration pathways (RCPs) and projections of population and gross domestic product (GDP) in the shared socioeconomic pathways (SSPs). The RCP8.5-SSP3 scenario produces the highest global population exposure for 2046-2065, with nearly 30% of the global population (2.97 × 10 persons) exposed to precipitation extremes >10 days/a. The RCP2.6-SSP1 scenario produces the highest global GDP exposure for 2046-2065, with a 5.56-fold increase relative to the base period, of up to (2.29 ± 0.20) × 10 purchasing power parity $-days. Socioeconomic effects are the primary contributor to the exposure changes at the global and continental scales. Population and GDP effects account for 64-77% and 78-91% of the total exposure change, respectively. The inequality of exposure indicates that more attention should be given to Asia and Africa due to their rapid increases in population and GDP. However, due to their dense populations and high GDPs, European countries, that is, Luxembourg, Belgium, and the Netherlands, should also commit to effective adaptation measures.

摘要

极端降水是全球气候变化最严重的后果之一。在一些地区,观测到的和预测的极端降水频率及强度将对社会经济产生重大影响。基于五个全球气候模型在三种代表性浓度路径(RCPs)驱动下的日降水量偏差校正预测以及共享社会经济路径(SSPs)中的人口和国内生产总值(GDP)预测,对基准期(1986 - 2005年)和未来时期(2016 - 2035年以及2046 - 2065年)的极端降水频率以及人口和经济暴露情况进行了量化。RCP8.5 - SSP3情景在2046 - 2065年产生了最高的全球人口暴露,近30%的全球人口(2.97×10人)暴露于极端降水>10天/年的情况。RCP2.6 - SSP1情景在2046 - 2065年产生了最高的全球GDP暴露,相对于基准期增加了5.56倍,高达(2.29±0.20)×10购买力平价美元 - 天。社会经济效应是全球和大陆尺度暴露变化的主要贡献因素。人口和GDP效应分别占总暴露变化的64 - 77%和78 - 91%。暴露的不平等表明,由于亚洲和非洲人口及GDP的快速增长,应给予更多关注。然而,由于人口密集和GDP较高,欧洲国家,即卢森堡、比利时和荷兰,也应致力于采取有效的适应措施。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a14/7507788/00e088b64cc1/EFT2-8-e2019EF001331-g001.jpg

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