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 月热带风暴希拉里引发的破纪录洪水，加上之前 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，实际上也许是下一个千年的最佳窗口，可以直接观察并量化塑造干旱峡谷和盆地系统形态的事件类型的直接后果。该项目的重点是在希拉里飓风之后死亡谷发生极端洪水事件后收集高度易腐烂的数据，这些数据将用于约束数值模型，从而深入了解驱动沙漠景观形成过程的水文学。研究人员将直接观察和量化塑造干旱峡谷和盆地系统形态的事件类型，这与盆地和山脉省以及全球沙漠环境相关。从拟议的 RAPID 中获得的信息和工具与数值模型的最新进展相吻合，这些模型试图从形态动力学上限制切谷的发展，因此对于对水驱动的沙漠地貌过程产生更多见解将具有无价的价值。该团队将利用现场调查和对整个彩虹峡谷高水位线的观察来确定洪水期间的水流深度，这是完善峡谷切口形态动力学模型所需的一阶参数。这些观察结果将通过地面调查和航空图像远程收集的数据进行侦察调查和详细评估。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。