Updating Techniques for Estimating Magnitude and Frequency of Floods for Rural Basins in the Southeastern United States
| 项目名称： | Updating Techniques for Estimating Magnitude and Frequency of Floods for Rural Basins in the Southeastern United States |
| 摘要： | The objectives of this research project are to: (1) update magnitude and frequency of peak flows for rural, unregulated USGS stations in South Carolina where adequate data are available; (2) when appropriate and based on reviews of the data, update magnitude and frequency of peak flows at regulated USGS gages in South Carolina; (3) in coordination with the USGS South Atlantic Water Science Center NC and GA offices and the USGS Office of Surface Water, update the regional generalized skew coefficient for NC, SC, and GA; 4) in coordination with the USGS South Atlantic Water Science Center NC and GA offices, update the regional rural flood-frequency equations for the 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent chance exceedance flows; (5) update the StreamStats application to include the new gage flood-frequency estimates and the new regional regression equations; and (6) develop procedures for updating the flood-frequency estimates for stations on an annual basis with the results being provided through the StreamStats application. |
| 状态： | Active |
| 资金： | 493,612.00 |
| 资助组织： | Federal Highway Administration |
| 执行机构： | U.S. Geological Survey |
| 主要研究人员： | Feaster, Toby D |
| 开始时间： | 20170825 |
| 预计完成日期： | 20210825 |
| 实际结束时间： | 0 |
相关文献
- Estimating the Magnitude and Frequency of Peak Discharges for Rural, Unregulated Streams in West Virginia
- Updating U.S. Precipitation Frequency Estimates for the State of Texas
- Updating U.S. Precipitation Frequency Estimates for the State of Texas
- Estimating Demand for Intercity Bus Services: A Network Approach
- Flood-Frequency Analysis in the Midwest: Addressing Potential Nonstationary Annual Peak-Flow Records
- Flood-Frequency Analysis in the Midwest: Addressing Potential Nonstationary Annual Peak-Flow Records
检索历史
应用推荐
