Suppr超能文献

在合理的区域细分下,河洪灾害损失中显现出气候信号。

Climate signals in river flood damages emerge under sound regional disaggregation.

机构信息

Potsdam Institute for Climate Impact Research, Potsdam, Germany.

Institute for Environmental Decisions, ETH Zurich, Zurich, Switzerland.

出版信息

Nat Commun. 2021 Apr 9;12(1):2128. doi: 10.1038/s41467-021-22153-9.

Abstract

Climate change affects precipitation patterns. Here, we investigate whether its signals are already detectable in reported river flood damages. We develop an empirical model to reconstruct observed damages and quantify the contributions of climate and socio-economic drivers to observed trends. We show that, on the level of nine world regions, trends in damages are dominated by increasing exposure and modulated by changes in vulnerability, while climate-induced trends are comparably small and mostly statistically insignificant, with the exception of South & Sub-Saharan Africa and Eastern Asia. However, when disaggregating the world regions into subregions based on river-basins with homogenous historical discharge trends, climate contributions to damages become statistically significant globally, in Asia and Latin America. In most regions, we find monotonous climate-induced damage trends but more years of observations would be needed to distinguish between the impacts of anthropogenic climate forcing and multidecadal oscillations.

摘要

气候变化影响降水模式。在这里,我们研究其信号是否已经可以在报告的河流洪水灾害中检测到。我们开发了一个经验模型来重建观测到的灾害,并量化气候和社会经济驱动因素对观测到的趋势的贡献。我们表明,在九个世界区域的水平上,灾害趋势主要受不断增加的暴露度影响,并受脆弱性变化调节,而气候引起的趋势则相对较小,且大多数在统计上不显著,南撒哈拉和东亚地区除外。然而,当根据具有相似历史流量趋势的河流流域将世界区域细分为子区域时,气候对灾害的贡献在全球、亚洲和拉丁美洲具有统计学意义。在大多数地区,我们发现气候引起的灾害趋势单调,但需要更多的观测年来区分人为气候强迫和多年代际震荡的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d79/8035337/20099d9afca4/41467_2021_22153_Fig1_HTML.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验