CVIc:基于沿海脆弱性指数的自动化评估网络平台

IF 4.6 2区 环境科学与生态学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Alexandros Liaskos , George P. Petropoulos , Niki Evelpidou , Spyridon E. Detsikas
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引用次数: 0

摘要

不断加剧的气候变化影响,如海平面上升、洪水、极端天气事件和海岸侵蚀,威胁着全球范围内的生态系统、基础设施和人类社区,使脆弱性评估成为确定需要采取紧急有效行动的领域的关键先决条件。沿海脆弱性指数(CVI)是一种广泛使用的基于指数的评估方法;然而,它的实现往往依赖于复杂的手动工作流程,跨多个专有桌面地理信息系统(GIS)软件。现有的方法限制了可访问性,缺乏透明度,妨碍了可再现性,并且通常很耗时。为了应对这些挑战,本文提出了一种新的、开源的、开放获取的用于计算海岸脆弱性指数的地理处理web应用程序CVIc (Coastal Vulnerability Index Compiler)。CVIc提供端到端的动态工作流,指导用户从海岸线数据导入到各种标准化指标(CVI、ICVI)的应用。CVIc以网站形式部署(https://alexandrosliaskos.github.io/CVIc/),并提供交互式工具,用于海岸线数字化、分割、参数值分配以及结果的可视化和导出。唯一的输入要求是用于数字化的海岸线Shapefile输入或GeoTIFF图像,以及对研究区域参数值的空间分布的了解。通过利用IndexedDB进行基于浏览器的数据存储,CVIc可以在不依赖服务器端的情况下运行,从而确保数据隐私、保护和大规模数据集处理。据我们所知,这是同类网络解决方案中的第一个,因为它将方法简化为一个统一的、用户友好的平台,使这种类型的分析对研究人员和沿海从业者更可行,同时为决策者提供更容易获取和可靠的决策数据。它的开源特性支持社区驱动的进步,简单的用户界面(UI)和地图组件标志着它适合教育目的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CVIc: A web platform for automated Coastal Vulnerability Index-based assessment
Intensifying climate change impacts, such as Sea-Level Rise (SLR), floods, extreme weather events and coastal erosion, threaten ecosystems, infrastructure, and human communities at a global scale, making vulnerability assessments a crucial prerequisite for identifying areas necessitating urgent and effective actions. The Coastal Vulnerability Index (CVI) is a widely used index-based methodology for such assessments; yet its implementation often relies on complex, manual workflows across multiple proprietary desktop Geographic Information Systems (GIS) software. Existing approaches limit accessibility, lack transparency, hinder reproducibility, and are frequently time-consuming. To address these challenges, CVIc (Coastal Vulnerability Index Compiler) is presented herein as a novel, open-source, and open-access geoprocessing web application for the computation of the CVI. CVIc provides an end-to-end dynamic workflow, guiding users from shoreline data import to the application of various standardized indices (CVI, ICVI). CVIc is deployed as a website (https://alexandrosliaskos.github.io/CVIc/) and features interactive tools for shoreline digitization, segmentation, parameter value assignment, and visualization and export of results. The only input requirements are a shoreline Shapefile input or a GeoTIFF image for digitization, and the knowledge of the spatial distribution of the parameter values for the area under study. By leveraging IndexedDB for browser-based data storage, CVIc operates without server-side dependencies, ensuring data privacy, protection and large-scale dataset processing. To our knowledge, this consists the first web solution of its kind, as its streamlined approach into a unified and user-friendly platform makes this type of analysis more feasible to researchers and coastal practitioners, while providing policymakers with more accessible and robust data for decision-making. Its open-source nature enables community-driven advancements, and the simple User Interface (UI) and map components mark it as appropriate for educational purposes.
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来源期刊
Environmental Modelling & Software
Environmental Modelling & Software 工程技术-工程:环境
CiteScore
9.30
自引率
8.20%
发文量
241
审稿时长
60 days
期刊介绍: Environmental Modelling & Software publishes contributions, in the form of research articles, reviews and short communications, on recent advances in environmental modelling and/or software. The aim is to improve our capacity to represent, understand, predict or manage the behaviour of environmental systems at all practical scales, and to communicate those improvements to a wide scientific and professional audience.
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