Enhancement of the next-generation intensity-duration-frequency (NG-IDF) curves for Land Cover Types over the Conterminous United States
Abstract
In many cases, current infrastructure design practices rely on design peak flood or volume estimates from a single design storm that do not account for snow processes. Our previous work has addressed this limitation by developing next-generation IDF (NG-IDF) curves that use the concept of water available for runoff (W) that results from the combined effects of rainfall, snowfall, and/or rain-on-snow (ROS). These archived NG-IDF curves were developed for open-area conditions, while other land covers can also have significant impacts on W estimates through canopy interception and sublimation and changes in snowpack energy balance. This study enhances the NG-IDF-based hydrologic design by constructing a suite of NG-IDF curves for different land cover types (e.g. evergreen/deciduous forest, crop, grass, etc.) under historical climate, which is consistent with the National Land Cover Database and Technical Release 55 (TR-55) design guideline. The validated Distributed Hydrology Soil Vegetation Model (DHSVM) with different land cover configurations was driven by 1/16th degree spatial resolution Livneh meteorology data at a 3-hourly temporal resolution to represent the complex climatecanopysnow interactions to generate enhanced NG-IDF curves over different climate regimes across the CONUS. The impact of land cover on the NG-IDF curves was also examined. The enhanced NG-IDF curves can be adapted to the standard IDF design leading to a more robust infrastructure design.
- Publication:
-
AGU Fall Meeting Abstracts
- Pub Date:
- December 2021
- Bibcode:
- 2021AGUFM.H43A..05D