(SGER) COLLABORATIVE RESEARCH: Hydrometeorological Analysis the Spring Creek Flood of 1997-Fort Collins

小行星9732400 一个小的探索性赠款，建议采用先进的遥感和降雨/径流模拟方法，以检查气象，径流和渠道水力学的灾难性洪水发生在1997年7月28日在柯林斯堡，科罗拉多的春天溪排水。 这场洪水仅对科罗拉多州立大学就造成了估计5000万至1亿美元的损失。 其他损失包括两个移动的家庭法庭被毁，许多房屋被淹，多人受伤，5人不幸死亡。 这项拟议中的研究是康涅狄格大学、密苏里州大学和普林斯顿大学的研究人员共同努力的结果。 参与的研究人员在雷达降雨量估计、水文定标以及开发结合遥感数据的最先进降雨/径流模型方面拥有丰富的经验。 这项拟议研究的目标是：（1）描述7月28日晚上的气象条件，导致在不到3小时的时间内降雨量超过11英寸。 分水岭;（2）利用地面记录的降雨累积量，校准和验证NSF资助的CSU-CHILL S波段双极化研究雷达和位于科罗拉多丹佛和怀俄明州夏延附近的两个WSR-88 D NEXRAD雷达的雷达降雨估计值;（3）利用GIS收集和组织流域特征和洪水数据;（4）应用降雨和流域特征数据，使用二维、基于物理的水文模型来重现径流事件;以及（5）将二维径流模拟结果的性能与使用更传统的SWMM和HEC-2方法进行洪水预警和水文设计的洪水再现进行比较和对比。 合作提议者在进行这项研究方面处于独特的地位，因为他们立即寻找并获得了与洪水相关的数据。 此外，该合作研究小组已经进行了大量的研究和开发，降雨/径流建模使用遥感输入。 此外，两位提议者在柯林斯堡居住多年，在该地区有广泛的水文联系，对受洪水影响的地区非常熟悉。 预计洪水的初步分析、建模和重建工作可以在不到3个月的时间内完成，并就事件发生前和事件发生期间的情况编写一份总结报告和文件。 建模工作的进一步完善和修改将继续下去，直到资金用完。 这一初步努力将引起全国对导致这场风暴的水文气象条件的关注，并利用遥感降雨输入建立基于物理的分布参数径流模型的能力，以预测城市地区的短期山洪暴发。 这种新的山洪模型方法具有显著的潜力，以减少生命和财产的风险，以及提高城市地区水文设计的准确性。

9732400 Richardson A small exploratory grant is proposed to employ advanced state of the art remote sensing and rainfall/runoff modeling approaches to examine the meteorology, runoff and channel hydraulics of the catastrophic flood which occurred on the Spring Creek drainage on July 28, 1997 in Fort Collins, Colorado. This flood resulted in an estimated 50 to 100 million dollars of damage to Colorado State University alone. Additional damages include the devastation of two mobile homes courts, flooding of numerous homes, multiple injuries and the unfortunate deaths of five people. The proposed study is a collaborative effort between researchers at the University of Connecticut, University of Missouri, and Princeton University. The researchers involved have extensive experience in radar-rainfall estimation, hydrologic scaling, and the development of state of the art rainfall/runoff models which incorporate remotely-senses data. The objectives of this proposed study are to (1) characterize the meteorological conditions which existed on the evening of July 28 leading to over 11 inches of rainfall in less than three hours on the watershed; (2) calibrate and verify radar-rainfall estimates from the NSF-funded CSU-CHILL S-band dual-polarization research radar, and the two WSR-88D NEXRAD radars located near Denver, Colorado and Cheyenne, Wyoming, using surface recorded rainfall accumulations; (3) collect and organize watershed characteristic and flood data using GIS; (4) apply the rainfall and watershed characteristic data to recreate the runoff event using a two-dimensional, physically-based hydrologic model; and (5) compare and contrast the performance of two-dimensional runoff simulation results with a recreation of the flood using the more traditional SWMM and HEC-2 approaches for flood warning and hydrologic design. The collaborative proposers are uniquely positioned to perform this research because they immediately sought and obtained data relevant to the flood. Additionally, t he collaborative research team has conducted a significant amount of research and development to rainfall/runoff modeling using remotely-sensed inputs. Furthermore, the two of the proposers lived in Fort Collins for many years, have extensive hydrologic contacts in the area, and are intimately familiar with the region affected by the flood. It is anticipated that the initial analysis, modeling and re-creation of the flood can be performed in less than 3 months leading to a summary report and paper on the conditions leading up to, and during the event. Additional refinement and modifications of modeling efforts will continue until funding is expended. This initial effort will garner and focus national attention on the hydrometeorological conditions which lead to this storm, and establish the capabilities of physically-based, distributed-parameter runoff models using remotely-sensed rainfall input for predicting short-duration flash floods in urban areas. This new flash-flood modeling approach to be evaluated has significant potential to reduce the risk of life and property, as well as improve the accuracy of hydrologic design in urban areas.