EAGER: Next-Generation Riverscape Monitoring and Mapping

EAGER：下一代河景监测和测绘

• 批准号: 1934253
• 负责人: Mark Fonstad
• 金额: $ 30万
• 依托单位: University of Oregon Eugene
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-06-15 至 2023-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1934253&HistoricalAwards=false
• 关键词: EAGER; Next; Generation; Riverscape; Monitoring

This project will test a novel approach to riverscape monitoring and mapping by using new boat-based drone technology to measure river geometry, sediment type, river habitats, and riverbank erosion patterns. Recent scientific advances have demonstrated that river dynamics and habitats vary in the downstream direction not only in smooth, gradual ways, but also in non-smooth, complex ways at a variety of spatial and temporal scales. This mosaic-like "riverscape" is a challenge for existing research methods monitoring how rivers change through space and time, where habitats for specific organisms are or are not connected with one another, and how rivers could be managed. One of the data collection devices to be tested is a small automated mapping boat that can be used by volunteer watershed managers and recreational river runners creating crowd-sourced (citizen science) data to monitor and map riverscapes. The data that will be produced using these new methods are likely to be useful to watershed managers in diverse agencies, watershed groups, and other river-related entities. By engaging with stakeholders during the design and testing phase of the automated-boat data collection phase, the investigators aim to ensure that the results will be relevant to the many people involved in making river management decisions. Additionally, the technical methods developed for this project will be designed so that they can easily be recreated and reproduced by others wishing to do similar monitoring and mapping work. The plans, software, documentation, and data will be made available via the internet using an open-source licensing framework.The monitoring and mapping of river environments is a task usually completed by governmental agencies, private firms, scientists, and private individuals. River monitoring achieves a variety of objectives, such as examining where and at what rate rivers are eroding adjacent property and structures, for characterizing river habitat for restoration purposes, or for evaluating water volumes and water quality. To-date these measurements are mostly done manually, one station at a time, creating a very limited spatial picture of river environments and conditions. Management of rivers is thus conducted with very little detailed knowledge of these rivers. The project's research objectives are to: (1) Develop and test a new, small, drone-boat platform capable of collecting basic longitudinal river data with minimal user interactions; (2) Compare and validate the drone boat data with expertly-collected data using a fully-outfitted research marine craft; and (3) Evaluate if it is feasible to employ a citizen science approach to monitoring and mapping of longitudinal riverscapes by deploying the drone boat within several regional test watersheds. Although this research project will focus on rivers in the Pacific Northwest, the methods will be applicable to a wide array of rivers in the U.S and worldwide.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该项目将测试一种新的河景监测和测绘方法，方法是使用新的船载无人机技术测量河流几何形状、沉积物类型、河流栖息地和河岸侵蚀模式。最近的科学进展表明，河流动力学和生境在下游方向不仅以平稳、渐进的方式变化，而且在各种空间和时间尺度上以非平稳、复杂的方式变化。这种马赛克般的“河景”对现有的研究方法是一个挑战，这些方法可以监测河流在空间和时间上的变化，特定生物的栖息地是否相互连接，以及如何管理河流。 其中一个待测试的数据收集设备是一艘小型自动绘图船，可供志愿流域管理人员和休闲河流跑步者使用，以创建众包（公民科学）数据来监测和绘制河流景观。 使用这些新方法产生的数据可能对不同机构、流域团体和其他与河流有关的实体的流域管理者有用。通过在自动船数据收集阶段的设计和测试阶段与利益相关者进行接触，调查人员旨在确保结果与参与制定河流管理决策的许多人相关。此外，为这一项目开发的技术方法的设计将使希望进行类似监测和绘图工作的其他人能够很容易地重新创建和复制。这些计划、软件、文件和数据将通过互联网使用开源许可框架提供。河流环境的监测和测绘通常是由政府机构、私营公司、科学家和个人完成的任务。河流监测可实现多种目标，例如检查河流侵蚀邻近财产和结构的位置和速度，以表征河流栖息地以进行恢复，或评估水量和水质。迄今为止，这些测量大多是手动完成的，一次一个站，创建一个非常有限的空间图片的河流环境和条件。因此，对河流的管理是在对这些河流知之甚少的情况下进行的。该项目的研究目标是：（1）开发和测试一个新的小型无人驾驶艇平台，该平台能够收集基本的纵向河流数据，用户互动最少;（2）使用一艘装备齐全的海洋研究船，将无人驾驶艇数据与专家收集的数据进行比较和验证;以及（3）通过在几个区域试验流域内部署无人驾驶船，评估采用公民科学方法监测和绘制纵向河流景观的可行性。虽然这个研究项目将集中在太平洋西北部的河流，该方法将适用于广泛的河流在美国和世界各地。这个奖项反映了NSF的法定使命，并已被认为是值得通过评估使用基金会的智力价值和更广泛的影响审查标准的支持。