Date of Award
Master of Science
Water Resources Engineering
Claudio Ivan Meier
Paul J Palazolo
Dorian J Burnette
Rainfall maxima over short durations are of great importance when designing stormwater drainage structures in smaller watersheds. Typically, design storms are extracted from rainfall Depth-Duration-Frequency curves developed from continuously gaged rainfall data collected over fixed (clock) time intervals. This can negatively bias our estimates of the true rainfall maxima when the gage collection interval is close to the duration of interest. Sampling Adjustment Factors (SAFs) have been used to rectify this error, but most studies have been limited to low-resolution data, and very few have focused on spatial variability. We use concurrent high resolution (1-minute) rainfall data from 809 stations in Germany, for a 10-year long period, to understand the behavior of SAFs for short durations (<= 1 hour), as well as their spatial variability. We find that SAFs exhibit high variation within and among stations, and that the spatial distribution of SAFs is clustered for shorter durations (5- and 10-minute).
Dissertation or thesis originally submitted to the local University of Memphis Electronic Theses & dissertation (ETD) Repository.
Marasini, Apeksha, "Rainfall Sampling Adjustment Factors: Spatial Variability and Effects of Temporal Resolution of Precipitation" (2020). Electronic Theses and Dissertations. 2132.