项目名称: |
Developing Quality-Controlled Datasets and Methods to Assess the Impact of Rain on Snow Events on Nevada Highways (NDOT 296-22-803) |
摘要: |
Major winter floods in Nevada have been a result of mid-winter runoff from rain-on-snow (ROS) events. Whenever a roadway has been washed out or damaged due to a flooding event, the impacts include the loss of millions of dollars for repairs and the thousands of hours of lost time. Highways and roads throughout Nevada are located in areas susceptible to winter flooding. The ROS flooding problem presents an opportunity to improve the understanding of (1) ROS runoff potential that could be integrated into transportation infrastructure design and (2) identification of high-risk weather and antecedent snowpack conditions that could provide additional lead time when preparing for high impact events. ROS floods are projected to become more frequent and with larger flood volumes in the future. This makes identifying areas at-risk for ROS flood damages and developing a method for using Nevada Department of Transportation (NDOT) Road Weather Information Systems (RWIS) and other weather data or information (e.g., National Weather Service forecasts, Federal Emergency Management Agency (FEMA) reports) to better assess risk will help NDOT prepare for the coming decades. This research aims toward creating a process that will transform existing available data into a product that may be used in hydrologic evaluations. The project looks to take advantage of 15 years of hourly data from the existing SNOTEL network and provide meaningful analysis of potential future impacts to NDOT infrastructure under increased magnitude and frequency of ROS events. |
状态: |
Active |
资金: |
99952 |
资助组织: |
Nevada Department of Transportation;Federal Highway Administration |
管理组织: |
Nevada DOT Research |
项目负责人: |
Moore, Jim<==>Koury, Lucy |
执行机构: |
Desert Research Institute<==>Utah State University, Logan<==>University of Nebraska, Lincoln |
主要研究人员: |
Heggli, Anne;Hatchett, Benjamin |
开始时间: |
20220627 |
预计完成日期: |
20231031 |
主题领域: |
Data and Information Technology;Highways;Hydraulics and Hydrology;Planning and Forecasting |