RAPID: RAINBOW CANYON AND PANAMINT VALLEY, DEATH VALLEY NATIONAL PARK: RECONNAISSANCE IN RESPONSE TO THE FLOOD OF AUGUST 20, 2023

快速：彩虹峡谷和帕纳明特谷、死亡谷国家公园：针对 2023 年 8 月 20 日洪水的侦察

• 批准号: 2345167
• 负责人: Jeffrey Nittrouer
• 金额: $ 2万
• 依托单位: Texas Tech University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2345167&HistoricalAwards=false
• 关键词: RAPID; RAINBOW; CANYON; PANAMINT; VALLEY

The record-breaking flood of August 2023 generated by Tropical Storm Hilary, combined with the previous record-breaking flood of 2022, offer a precious opportunity. They provide the best window in our lifetime, and indeed perhaps the best window over the next millennium, to observe directly and quantify the immediate aftermath the type of event that shapes themorphology of arid canyon and basin systems. This project focuses on collection of highly perishable data following an extreme flood event in Death Valley following Hurricane Hilary that will be used to constrain numerical models that give insight on hydrology that drives landscape forming processes in desert landscapes. The researchers will directly observe and quantify the immediate aftermath the type of event that shapes the morphology of arid canyon and basin systems which is relevant for the Basin and Range Province and in global desert settings. The information and tools gained from the proposed RAPID dovetail with the recent advances in numerical models that seek to constrain morphodynamically the development of incised valleys, and therefore will prove invaluable for generating additional insights into water-driven desert geomorphic processes. The team will use field survey and observation of high-water marks throughout Rainbow Canyon to determine the flow depth during the flood, which is a first-order parameter required to refine the morphodynamic model of canyon incision. These observations will be followed up with reconnaissance surveys and detailed assessment using aerial imagery using remotely gathered data from ground-based survey, and aerial imagery.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.

2023年8月的创纪录的洪水由热带风暴希拉里（Hilary）产生，再加上2022年破纪录的洪水，提供了宝贵的机会。它们提供了我们一生中最好的窗口，甚至是下一个千年中最好的窗口，以直接观察并量化塑造Arid Canyon和Basin Systems主题的事件类型的直接事件。在希拉里飓风之后，该项目的重点是在死亡谷发生极端洪水事件之后的收集高度易腐的数据，该事件将用于约束数值模型，这些模型可以洞悉水文学，从而驱动沙漠景观中的景观形成过程。研究人员将直接观察并量化与盆地和山脉省以及全球沙漠环境相关的ARID峡谷和盆地系统形态的事件类型。从拟议的快速诱惑中获得的信息和工具与数值模型的最新进展，这些模型试图限制形态动力学的开发，因此将被证明是对水驱动的沙漠怪异过程的更多见解，这将是无价的。团队将使用现场调查并观察整个彩虹峡谷中的高水标记，以确定洪水期间的流量深度，这是完善峡谷切口形态学模型所需的一阶参数。这些观察结果将进行侦察调查和详细评估，并使用空中图像使用基于地面调查的远程收集的数据和空中图像进行了详细的评估。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛的审查标准通过评估来通过评估来支持的。