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Data and hydroinformatics: new possibilities and challenges

机译：数据和水信息学：新的可能性和挑战

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The technology evolution, with new types of sensors such as acoustic Doppler current profiler (ADCP), multibeam sonars, light detection and ranging (LIDAR) and pushbroom cameras, has deeply modified the quality and the quantity of data available on hydro-environments. The hydroinformatics systems now have the possibility to investigate the details of the physical hydrodynamic process as well as the complexity of the geometry of the continental and marine environments. This new situation represents a unique situation where all hydroinformatics approaches (data driven and physically based) can be associated and combined. We provide a general overview of the different new emerging technologies and explore the added value provided by the new datasets. The presentation covers the data acquisition processes for velocity of currents and river flows. Doppler technology is presented and illustrated through an example located in Monaco. The numerous datasets demonstrate clearly the ability of the technology to highlight the complexity of the physical processes and to revisit the assumptions made in the different modelling systems. The availability of data allows the combination of data driven models in order to generate boundary conditions for physically based tools. The second part of the paper discusses high-resolution digital elevation models (DEMs) for bathymetry and topography representation. Geometry representation is a key issue in distributed models. Advances in the form of multibeam sonar and pushbroom cameras allow an improved modelling process. The hydroinformatics tools are facing a new challenge, in that the conceptual approaches used in the different models have to be redefined for a data rich environment.
机译：技术的发展，伴随着新型传感器的发展，例如声学多普勒电流剖面仪（ADCP），多束声纳，光检测和测距（LIDAR）以及推扫式摄像机，极大地改变了水环境中可用数据的质量和数量。水文信息系统现在有可能研究物理水动力过程的细节以及大陆和海洋环境的几何形状的复杂性。这种新情况代表了一种独特的情况，其中所有水文信息学方法（数据驱动和基于物理的方法）都可以关联和组合。我们提供了各种新兴技术的概述，并探索了新数据集所提供的附加值。演示内容涵盖了流速和河流流速的数据采集过程。通过位于摩纳哥的示例介绍和说明了多普勒技术。众多数据集清楚地表明了该技术突出物理过程的复杂性并重新审视在不同建模系统中所做的假设的能力。数据的可用性允许数据驱动模型的组合，以便为基于物理的工具生成边界条件。本文的第二部分讨论了用于测深和地形表示的高分辨率数字高程模型（DEM）。几何表示是分布式模型中的关键问题。多束声纳和推扫式摄像机形式的进步允许改进建模过程。水文信息学工具面临着新的挑战，因为对于数据丰富的环境，必须重新定义不同模型中使用的概念方法。

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