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| Created: | Feb 17, 2020 at 4:21 p.m. | |
| Last updated: | Feb 17, 2020 at 5:32 p.m. | |
| Citation: | See how to cite this resource |
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Abstract
The following resource contains the data and code that were used for the study described in the abstract below.
Hurricane Harvey produced unprecedented flooding that altered flood frequency statistics near Houston. While Harvey could have made landfall elsewhere along the Gulf coast, traditional flood frequency methodologies only consider the risk of Harvey in the region that it hit. This may be a significant shortcoming of flood frequency methodologies as the intensity of Harvey was greater due to climate change; therefore, Harvey may be more indicative of future hurricanes than other historical observations. This study addresses this shortcoming by investigating what effect Harvey would have had on flood frequency statistics if it had made landfall elsewhere. This was done by shifting spatial rainfall data to probable alternative landfall locations in two separate geomorphologic regions adjacent to the Texas coast and using synthetic unit hydrographs to create a simulated set of peakflows. These simulated peakflows were then used to evaluate the impact of Harvey in these new locations using Log Pearson III and Regional Flood Frequency Analyses. Log Pearson III analyses with simulated Harvey streamflows produced 100-year peakflows that were, on average, 21.4% – 63.9% higher than analyses that only used historical records. A similar Regional Flood Frequency analysis in the central coastal geomorphologic region of Texas showed that predictive equations, based upon basin area and shape factor, had an average increase of 17.7% in the 100-year peak discharge. This study demonstrates that contemporary storms, whose intensities are increased by climate change, may have similar impacts on flood frequency statistics and regional regression equations in other regions within their probabilistic landfall path.
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Related Resources
| The content of this resource is derived from | Automated Tropical Cyclone Forecasting System (ATCF). (2017). Index of /atcf/archive/2017. Retrieved December 6, 2018, from https://ftp.nhc.noaa.gov/atcf/archive/2017/ |
| The content of this resource is derived from | U. S. Geological Survey (2019a). The National Map—New data delivery homepage, advanced viewer, lidar visualization. Retrieved November 6, 2019, from https://pubs.er.usgs.gov/publication/fs20193032 |
| The content of this resource is derived from | U. S. Geological Survey (2019b). USGS Current Conditions for Texas. Retrieved April 4, 2019, from https://waterdata.usgs.gov/tx/nwis/uv? |
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Contributors
People or Organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.
| Name | Organization | Address | Phone | Author Identifiers |
|---|---|---|---|---|
| Levi Cowen | Tropical Tidbits | |||
| Adam Gottlieb | Marquette University |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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