Observation-Based Evaluation of Flood Estimation Techniques for a Small Snow-Dominated Basin in the Washington Cascade Mountains

Hongxiang Yan, Zhuoran Duan, Mark S. Wigmosta, Ning Sun, Ethan D. Gutmann, Bert Kruyt, Jeffrey R. Arnold

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

This study examines the application of the recently developed next-generation intensity-duration-frequency (NG-IDF) curves in hydrological design, focusing on a small snow-dominated basin in Washington state. Four methods are used to assess the NG-IDF performance: (1) basin outlet flood frequency analysis, (2) use of standard precipitation-based intensity-duration-frequency (PREC-IDF) curves following surface water design manuals typically used in the basin, (3) utilization of locally constructed PREC-IDF curves, and (4) use of locally constructed NG-IDF curves. The standard PREC-IDF design method assumes precipitation as rainfall and neglecting snowmelt or rain-on-snow (ROS) events that can lead to significant flood underestimations in the test basin. In contrast, the NG-IDF method incorporates snow processes and shows promising improvements in accurately estimating design floods. The validation analysis demonstrates the superiority of NG-IDF over standard and local PREC-IDF in this test basin. The study highlights the necessity for adjustments in current design manuals to ensure sufficient flood protection, particularly in light of the planned substantial investments in US infrastructure.

Original languageEnglish
Article number05024009
JournalJournal of Hydrologic Engineering - ASCE
Volume29
Issue number3
DOIs
StatePublished - Jun 1 2024
Externally publishedYes

Keywords

  • Extreme flood
  • Hydrological design
  • Next-generation intensity-duration-frequency (NG-IDF) curves
  • Rain-on-snow (ROS)
  • Snowmelt

Fingerprint

Dive into the research topics of 'Observation-Based Evaluation of Flood Estimation Techniques for a Small Snow-Dominated Basin in the Washington Cascade Mountains'. Together they form a unique fingerprint.

Cite this