EAGER: Sensing storm surge: A citizen science approach to measuring storm surge-estuarine interaction in three Maine communities

1644691 Huguenard， Kimberly该奖项隶属于美国国家科学基金会的“公众参与科学研究”主题。面对基础设施和当地经济不断上升的成本，美国沿海社区正在越来越多地探索保护措施，以减少风暴潮的风险。迄今为止，研究人员一直依靠模型来代表风暴潮行为的理想化场景；然而，由于没有观测到风暴潮在河口内的行为，实际影响仍然是一个谜。为了探索这个问题，该项目追求三个相互关联的目标：(1)提高对缅因州三个具有不同物理特性的河口风暴潮行为的理解；(2)让当地居民参与数据收集，包括培训；(3)通过建立物理数据的可靠性和测量公民科学家对气候变化相关问题的参与程度来评估公民科学成分。第一个目标将通过部署一个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的振幅和相位传播特性，因为它与不同的渠道几何形状、地貌、河流流量和河口排列相互作用。为了实现第二个目标，个人将被分配到四个小组中的一个，这些小组因对公民科学的贡献或共同创造的方法而有所不同——具体来说，是否提供了亲自培训，以及是否发生了共同设计的、基于对话的活动。第三个目标将分两部分实现，首先评估公民科学参与的结果，其次评估物理数据的可靠性。除了深度访谈外，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。数据可靠性将使用公民科学数据和由专家科学家维护的重复站数据之间的相互关联来量化。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有关。

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.