Impacts of urbanization, antecedent rainfall event, and cyclone tracks on extreme floods at Houston reservoirs during Hurricane Harvey

Bibliographic Data

ID15545895
AuthorsXudong Li (0000-0001-5832-4663, Texas A&M University), Gang Zhao (0009-0002-1682-2239, Texas A&M University), John W Nielsen‐Gammon (0000-0001-5336-2409, Texas A&M University), John Nielsen-Gammon, Joel Salazar (Texas A&M University), Mark S Wigmosta (0000-0002-2918-8284, Pacific Northwest National Laboratory), Mark Wigmosta, Ning Sun (0009-0002-2479-0118, Pacific Northwest National Laboratory), David Judi (0000-0003-0989-4525, Pacific Northwest National Laboratory), Huilin Gao (0000-0001-7009-8005, Texas A&M University, corresponding author)
Year2020
Volume15
Issue12
Pages124012-124012
Publication date2020-10-27
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEnvironmental Research Letters (JOURNAL)
Journal identifiersISSN: 1748-9326 • E-ISSN: 1748-9326
PublisherIOP Publishing (PUBLISHER • GB)
DOI10.1088/1748-9326/abc4ff
OpenAlexW3097300792
LanguageEN
Citations received2
References cited43

The objective of this study is to evaluate the effects of urbanization, an antecedent rainfall event (ARE), and varying cyclone tracks on the streamflow—and thus the subsequent reservoir status—during the floods caused by Hurricane Harvey in August–September 2017. Through a hydrological modeling approach, we examined how these factors influenced the inflows, peak pool elevations, and outflows of the two most important detention reservoirs in the Houston region, the Addicks and Barker Reservoirs. A high-resolution rainfall reanalysis dataset for extreme storm events, along with a suite of synthetic rainfall values from a variety of storm tracks, were adopted to represent both the truth and the maximum possible rainfall during the Hurricane Harvey period. The results showed the following: Urbanization only led to slight increases in peak inflows, not necessarily to an increase in peak pool elevations, and the ARE contributed to the peak inflow and pool elevation slightly. In contrast, if the cyclone had followed the most adverse track consistent with earlier forecasts (all else being equal), the total volumetric flow into the two reservoirs would have been significantly larger (37% and 49% respectively), thus increasing the peak pool elevations by 1.06 and 1.37 m respectively. These results suggest that large uncertainties exist for flood management at a watershed scale during hurricanes, because of the uncertainties in the cyclone track. This would remain true even if storm-relative precipitation rates could be predicted perfectly

Climatology · Cyclone (programming language · Flood myth · Geography · Hydrology (agriculture · Inflow · Meteorology · Precipitation · Storm · Tropical cyclone · Environmental Science · Flood Risk Assessment and Management · Hydrology and Drought Analysis · Tropical and Extratropical Cyclones Research · Geology

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