EAGER: Sensing storm surge: A citizen science approach to measuring storm surge-estuarine interaction in three Maine communities
EAGER:感知风暴潮:测量缅因州三个社区风暴潮与河口相互作用的公民科学方法
基本信息
- 批准号:1644691
- 负责人:
- 金额:$ 10万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2016
- 资助国家:美国
- 起止时间:2016-09-01 至 2019-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
1644691 Huguenard, Kimberly This award is under NSF's topic of Public Participation in Scientific Research. Facing escalating costs to infrastructure and the local economy, U.S. coastal communities are increasingly exploring protection measures to reduce storm surge risk. To date, researchers have relied on models to represent idealized scenarios of storm surge behavior; however, without observations to capture how storm surge behaves inside an estuary, actual effects remain a mystery. To explore this question, this project pursues three interconnected objectives: (1) to develop an improved understanding of storm surge behavior in three Maine estuaries with varying physical properties; (2) to engage local residents in data gathering, involving training; and (3) to evaluate the citizen science component by establishing the reliability of the physical data and by measuring citizen scientists' engagement in climate change-related issues. The first objective will be achieved by deploying a network of pressure sensors maintained by local citizen scientists. Statistical analyses will quantify storm surge amplitude and phase propagation properties as it interacts with varying channel geometries, geomorphology, river discharge, and estuary alignments. To achieve the second objective, individuals will be assigned to one of four groups that vary by contributory or co-created approach to citizen science -- specifically, whether in-person training is provided, and whether a co-designed, dialogue-based activity occurs. The third objective will be achieved in two parts, by first evaluating the outcomes of citizen science participation, and second, by assessing the reliability of physical data. A pre- and post- project survey, in addition to in-depth interviews, will evaluate cognitive, affective, and behavioral indicators of engagement. Data reliability will be quantified using cross correlation between citizen science data and duplicate station data maintained by an expert scientist. Between-group comparisons will allow for testing of whether differences in citizen science approaches are associated with data accuracy.
1644691 Huguenard,Kimberly 该奖项是根据NSF的主题公众参与科学研究。面对基础设施和当地经济成本的不断上升,美国沿海社区越来越多地探索保护措施,以减少风暴潮风险。迄今为止,研究人员一直依赖模型来表示风暴潮行为的理想化情景;然而,由于没有观测来捕捉风暴潮在河口内的行为,实际影响仍然是一个谜。为了探讨这个问题,这个项目追求三个相互关联的目标:(1)发展一个更好的了解风暴潮行为在三个缅因州河口与不同的物理属性;(2)从事当地居民的数据收集,包括培训;以及(3)通过建立物理数据的可靠性和衡量公民科学家对气候变化的参与来评估公民科学的组成部分-相关问题。第一个目标将通过部署由当地公民科学家维护的压力传感器网络来实现。统计分析将量化风暴潮振幅和相位传播特性,因为它与不同的通道几何形状,地貌,河流流量和河口线形相互作用。为了实现第二个目标,个人将被分配到四个群体之一,这些群体根据公民科学的贡献或共同创造的方法而有所不同-具体来说,是否提供面对面的培训,以及是否进行共同设计的,基于对话的活动。第三个目标将分两部分实现,首先是评估公民科学参与的成果,其次是评估物理数据的可靠性。除了深入访谈外,项目前和项目后的调查将评估参与的认知、情感和行为指标。将利用公民科学数据和由专家科学家维护的重复台站数据之间的互相关来量化数据可靠性。组间比较将允许测试公民科学方法的差异是否与数据准确性相关。
项目成果
期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
High‐Frequency Tide‐Surge‐River Interaction in Estuaries: Causes and Implications for Coastal Flooding
- DOI:10.1029/2019jc015466
- 发表时间:2019-12
- 期刊:
- 影响因子:0
- 作者:P. Spicer;Kimberly D. Huguenard;Lauren Ross;L. Rickard
- 通讯作者:P. Spicer;Kimberly D. Huguenard;Lauren Ross;L. Rickard
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Kimberly Huguenard其他文献
Nonlinear Internal Wave Mixing Observations Within the Interior of a River Plume
- DOI:
10.1007/s12237-025-01575-4 - 发表时间:
2025-07-30 - 期刊:
- 影响因子:2.300
- 作者:
Preston Spicer;Kimberly Huguenard;Nicole L. Jones;Agata Piffer-Braga;Daniel G. MacDonald;Michael M. Whitney;Kelly L. Cole - 通讯作者:
Kelly L. Cole
Kimberly Huguenard的其他文献
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