Suppr超能文献

洪水灾害评估与制图:来自澳大利亚霍克斯伯里-尼平流域的案例研究。

Flood Hazard Assessment and Mapping: A Case Study from Australia's Hawkesbury-Nepean Catchment.

机构信息

Bureau of Meteorology, Docklands, VIC 3008, Australia.

Science Advanced-Global Challenges Program, Monash University, Clayton, VIC 3800, Australia.

出版信息

Sensors (Basel). 2022 Aug 19;22(16):6251. doi: 10.3390/s22166251.

Abstract

Floods are among the costliest natural hazards, in Australia and globally. In this study, we used an indicator-based method to assess flood hazard risk in Australia's Hawkesbury-Nepean catchment (HNC). Australian flood risk assessments are typically spatially constrained through the common use of resource-intensive flood modelling. The large spatial scale of this study area is the primary element of novelty in this research. The indicators of maximum 3-day precipitation (M3DP), distance to river-elevation weighted (DREW), and soil moisture (SM) were used to create the final Flood Hazard Index (FHI). The 17-26 March 2021 flood event in the HNC was used as a case study. It was found that almost 85% of the HNC was classified by the FHI at 'severe' or 'extreme' level, illustrating the extremity of the studied event. The urbanised floodplain area in the central-east of the HNC had the highest FHI values. Conversely, regions along the western border of the catchment had the lowest flood hazard risk. The DREW indicator strongly correlated with the FHI. The M3DP indicator displayed strong trends of extreme rainfall totals increasing towards the eastern catchment border. The SM indicator was highly variable, but featured extreme values in conservation areas of the HNC. This study introduces a method of large-scale proxy flood hazard assessment that is novel in an Australian context. A proof-of-concept methodology of flood hazard assessment developed for the HNC is replicable and could be applied to other flood-prone areas elsewhere.

摘要

洪水是澳大利亚乃至全球最昂贵的自然灾害之一。在这项研究中,我们使用基于指标的方法来评估澳大利亚 Hawkesbury-Nepean 集水区 (HNC) 的洪水灾害风险。澳大利亚的洪水风险评估通常通过普遍使用资源密集型洪水模型来进行空间限制。该研究区域的大空间尺度是本研究新颖性的主要因素。最大 3 天降水量 (M3DP)、距河高程加权 (DREW) 和土壤湿度 (SM) 指标用于创建最终的洪水灾害指数 (FHI)。2021 年 3 月 17 日至 26 日在 HNC 发生的洪水事件被用作案例研究。结果发现,HNC 的近 85%被 FHI 归类为“严重”或“极端”级别,说明了所研究事件的极端性。HNC 中东部城市化洪泛区的 FHI 值最高。相反,集水区西部边界沿线的地区洪水灾害风险最低。DREW 指标与 FHI 高度相关。M3DP 指标显示出东部集水区边界附近极端降雨量总量增加的强烈趋势。SM 指标变化很大,但在 HNC 的保护区内有极端值。本研究引入了一种大规模代理洪水灾害评估方法,在澳大利亚背景下具有新颖性。为 HNC 开发的洪水灾害评估概念验证方法是可复制的,可以应用于其他洪水多发地区。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a33a/9416639/d218f040924f/sensors-22-06251-g0A1.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