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Real-time Visualization In Operational Hydrology Through Web-based Cartography

机译:通过基于网络的制图实时可视化水文水文

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摘要

Early warning and monitoring activities in the field of natural hazard management are crucial in order to limit damage to life and property from extreme natural events. Decision makers in these fields, such as operational hydrologists, must be enabled to quickly and comprehensively assess an on-going situation, examine its details, and then take further actions based on the most current information available. The cartographic challenge is to deliver automated, real-time visualizations from distributed raw measurement data while applying sound cartographic rules and standards. In this research, a web-based, cartographic, real-time information system is presented. True real-time data of Swiss hydro-meteorological measuring networks were used, and a prototype application was tested that integrates the acquisition, processing, and visualizations in different ways, depending on the chosen timeframe and level of detail. Besides monitoring visualizations, data are retraceable using visualizations that clearly stress the course of a hydrological event and the data's spatio-temporal character. Further visualizations and functionalities are provided that allow for relating real-time data to a broader historical context, facilitating learning from former experiences. Data for past events are immediately retrievable from a data archive, then classified and visualized for comparisons.
机译:为了限制极端自然事件对生命和财产的损害,自然灾害管理领域的预警和监测活动至关重要。必须使这些领域的决策者(例如业务水文学家)能够快速而全面地评估一种持续的情况,检查其细节,然后根据最新的可用信息采取进一步的行动。制图的挑战是在应用合理的制图规则和标准的同时,从分布式原始测量数据中提供自动化的实时可视化。在这项研究中,提出了一种基于Web的制图实时信息系统。使用了瑞士水文气象​​测量网络的真实实时数据,并测试了一个原型应用程序,该应用程序根据所选的时间范围和详细程度以不同的方式集成了采集,处理和可视化功能。除了监视可视化之外,还可以使用可视化来追溯数据,这些可视化清晰地强调了水文事件的过程和数据的时空特征。提供了进一步的可视化和功能,可以将实时数据与更广泛的历史背景相关联,从而有助于从以前的经验中学习。过去事件的数据可立即从数据存档中检索,然后进行分类和可视化以进行比较。

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