[Runoff] VITCaM: Virtual Inventory Toolkit for Catchment Management

[径流] VITCaM：流域管理虚拟库存工具包

• 批准号: ST/V000349/1
• 负责人: David Oliver
• 金额: $ 1.94万
• 依托单位: University of Stirling
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=ST%2FV000349%2F1
• 关键词: Runoff; VITCaM; Virtual; Inventory; Toolkit

The aim of the VITCaM project is to explore new capability for enhanced decision-making in catchment management using innovative visualisation technologies to exploit existing data in novel ways. Recent advances in high resolution mapping from drones has enabled fine resolution 3D catchment models to be built that represent environmental variables, hydrological pathways and risk sources with much greater clarity and detail than ever before. These rich datasets provide the opportunity to visualise catchments in new and novel ways, and can transform a decision-maker's understanding of the sources of diffuse pollution risk to the wider environment and how different catchment pressures interact. We propose a need to move beyond 2D web-based GIS tools and 3D web visualisation to deliver a step-change in decision-making; we will investigate the potential for Augmented-Reality/ Virtual Reality (AR/VR) immersive decision-making experiences whereby physical and digital objects co-exist and interact in real time to aid exploration of adaptable solutions for better catchment management. We will use a process of participatory co-design (via a workshop format, hosted at Hartree to explore available technologies) and work with relevant stakeholders & end-users (e.g. farm advisor communities, STFC, environmental regulators, water company land management teams, large land owners, NERC, EPSRC, ESRI, Agri-tech centres, CEH, cloud computing providers etc) to ensure relevant knowledge and end-user needs for functionality are integrated into our recommendations for taking forward a new collaborative approach to data visualisation for diffuse pollution management. The vision is to represent complex catchment systems using Building Information Management (BIM) and use immersive visualisation tools to interrogate an inventory of geospatial data layers using AR/VR capability. BIM is the process of designing, constructing and operating a building with the use of electronic object-orientated information, and in our case the 'building' will be a catchment system.Why is this important?: Open data access is the trend in research, an obligation from many funding agencies and an increasing practice from both governmental agencies and private companies. The paradigm is changing from data collection to data analysis in the era of Big Data. In turn, visualisations of environmental risks (e.g. agricultural runoff and diffuse pollution) provide a new dimension to decision-making for catchment managers by virtually placing the end-user within the landscape or environment of immediate concern. Often, due to logistics and practical barriers, decision-making is undertaken in a location far removed from the site of interest, or by personnel lacking up-to-date knowledge. The use of BIM coupled to AR/VR to visualise how risks are generated from the landscape will help to remove the barriers, but will also provide opportunities for (i) a collaborative decision-making environment; (ii) enhanced communication with stakeholders and communities around catchment issues and (iii) visualisations of 'what-if' scenarios for catchment managers to test in order to guide future decision-making and thus increase resilience to future extreme wet weather events.

VITCAM项目的目的是探索使用创新可视化技术来增强集水管理决策的新能力，以新颖的方式利用现有数据。从无人机高分辨率映射的高分辨率映射的最新进展使构建了良好的分辨率3D流域模型，该模型代表了比以往任何时候都更清晰和细节的环境变量，水文途径和风险源。这些丰富的数据集提供了以新颖和新颖的方式可视化集水区的机会，并可以将决策者对弥漫性污染风险来源的理解转变为更广泛的环境以及不同的流域压力如何相互作用。我们建议需要超越基于2D Web的GIS工具和3D Web可视化，以实现决策的逐步改变；我们将调查增强现实/虚拟现实（AR/ VR）沉浸式决策经验的潜力，这些决策经验使物理和数字对象共存并实时互动以帮助探索适应性的解决方案，以提供更好的集水管理。 We will use a process of participatory co-design (via a workshop format, hosted at Hartree to explore available technologies) and work with relevant stakeholders & end-users (e.g. farm advisor communities, STFC, environmental regulators, water company land management teams, large land owners, NERC, EPSRC, ESRI, Agri-tech centres, CEH, cloud computing providers etc) to ensure relevant knowledge and最终用户对功能的需求已集成到我们的建议中，以提出一种新的协作方法来进行数据可视化以进行弥漫性污染管理。愿景是使用建筑信息管理（BIM）代表复杂的集水系统，并使用沉浸式可视化工具使用AR/VR功能询问地理空间数据层的清单。 BIM是通过使用电子对象的信息设计，构建和运营建筑物的过程，在我们的情况下，“建筑物”将是一个集水系统。为什么这是一个重要的？：开放数据访问是研究趋势，是许多资助机构的义务，以及政府机构和私营公司的越来越多的实践。在大数据时代，范式从数据收集到数据分析。反过来，环境风险的可视化（例如，农业径流和弥漫性污染）通过将最终用户置于景观或直接关注的景观或环境中，从而为集水经理提供了新的决策。通常，由于物流和实践障碍，在远离感兴趣的地点或缺乏最新知识的人员中进行决策。使用BIM耦合到AR/VR来可视化景观如何产生风险将有助于消除障碍，但还将为（i）协作决策环境提供机会； （ii）加强了与利益相关者和社区有关集水问题的沟通，以及（iii）为集水经理进行测试的“假设”场景的可视化，以指导未来的决策，从而提高对未来极端潮湿天气事件的弹性。