CAREER: Sedimentary signatures of large riverine floods to constrain risk and build resiliency

职业：利用大型河流洪水的沉积特征来限制风险并增强抵御能力

• 批准号: 2236920
• 负责人: Samuel Munoz
• 金额: $ 71.84万
• 依托单位: Northeastern University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-01 至 2028-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2236920&HistoricalAwards=false
• 关键词: CAREER; Sedimentary; signatures; large; riverine

Rivers represent critical economic corridors and refuges for biodiversity, but infrastructure and ecosystems in floodplains remain vulnerable to flooding and erosion. This project will improve flood hazard assessments for lowland rivers by understanding and harnessing fluvial dynamics, thus improving the safety and sustainability of river management science. A research plan focusing on observing and simulating floodplain sedimentation to improve flood hazard assessments is coupled with an education and outreach plan that broadens participation in geomorphology and redefines rivers as dynamic features that provide beneficial services to people and ecosystems. The research tests hypotheses describing controls on fluvial sedimentation that are critical for predicting and managing the accumulation of pollutants and sediments for floodplain management and restoration. A diverse geoscience workforce and public engagement are critical for the long-term move towards equitable and sustainable river management, and this project is expressly designed to broaden participation in Earth sciences through immersive research experiences for community college students and to elevate public awareness of fluvial dynamics through K-12 initiatives.The traditional paradigm in lowland river and floodplain management relies almost exclusively on systematic stream gage data as the key dataset informing flood hazard assessments, while largely neglecting the geomorphic dynamics and resulting sedimentary records preserved in floodplains. This project builds on the PI’s prior work in the development and application of alluvial stratigraphic records by harnessing recent advances in hydraulic modeling to constrain flood hazard assessments via robust paleoflood estimates. The research objectives are to (1) establish a long-term observatory to monitor floodplain sedimentation, (2) develop hydraulic model simulations on modern and theoretical floodplain geometries, and (3) integrate models and observations of sedimentation to link streamflow to sedimentation patterns in a dynamic alluvial setting. The research plan leverages state-of-the-art hydraulic modeling with an observational network of environmental sensors and sediment cores to test a series of hypotheses describing the landscape controls on alluvial sedimentation patterns, and then it applies the findings to constrain flood hazard assessments through high precision paleoflood estimates. This research is integrated with an education and outreach plan designed to (1) attract, motivate, and train community college students in geoscience research through an established internship program, and (2) develop a platform for raising public awareness of dynamic fluvial processes through K-12 initiatives. This award is co-funded by the Geomorphology & Land-use Dynamics and Hydrologic Sciences programs.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.

河流代表着重要的经济走廊和生物多样性的避难所，但洪泛区中的基础设施和生态系统仍然容易受到洪水和侵蚀的影响。该项目将通过理解和利用河流动态来改善低地河流的洪水危害评估，从而改善河流管理科学的安全性和可持续性。一项重点是观察和模拟洪泛区沉积以改善洪水危害评估的研究计划，再加上教育和外展计划，该计划扩大了对地貌的参与，并将河流重新定义为为人们和生态系统提供有益服务的动态特征。研究测试的假设描述了对河流沉积的控制，这对于预测和管理污染物和沉积物的积累至关重要，用于洪泛区管理和恢复。 A divers geoscience workforce and public engagement are critical for the long-term move towards equitable and sustainable river management, and this project is expressly designed to broaden participation in Earth sciences through immersive research experiences for community college students and to elevate public awareness of fluvial dynamics through K-12 initiatives.The traditional paradigm in lowland river and floodplain management relies almost exclusively on systematic stream gage data as the key dataset informing flood hazard评估虽然在很大程度上忽略了在洪泛区保存的地貌动态和产生的沉积记录。该项目建立在PI在开发和应用冲积地层记录方面的先前工作，通过利用HydroFlux建模的最新进展来通过强大的古毛质估计来限制洪水危害评估。研究目的是（1）建立长期观察以监测洪泛区沉积，（2）对现代和理论洪泛区几何形状进行氢化模拟，以及（3）集成模型和沉积物的综合模型，以将流量链接到动态外科外科环境中的沉积模式。该研究计划利用环境传感器和沉积物核心的观察性网络利用最先进的液压建模来测试一系列描述对冲积沉积模式的景观控制的假设，然后将发现应用于高精度的Paleoflood估算来限制洪水危害评估。这项研究与旨在通过既定的实习计划吸引，动力和培训地球科学研究的社区大学生的教育和外展计划融合在一起，并且（2）开发一个平台，通过K-112倡议提高公众对动态河流过程的认识。该奖项由“地貌和土地利用动力学和水文科学计划”共同资助。该奖项反映了NSF的法定任务，并使用基金会的知识分子优点和更广泛的影响审查标准，认为值得通过评估来获得支持。