Impacts of urbanization, antecedent rainfall event, and cyclone tracks on extreme floods at Houston reservoirs during Hurricane Harvey
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 app...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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IOP Publishing
2020-01-01
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| Series: | Environmental Research Letters |
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| Online Access: | https://doi.org/10.1088/1748-9326/abc4ff |
| _version_ | 1797747702588506112 |
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| author | Xudong Li Gang Zhao John Nielsen-Gammon Joel Salazar Mark Wigmosta Ning Sun David Judi Huilin Gao |
| author_facet | Xudong Li Gang Zhao John Nielsen-Gammon Joel Salazar Mark Wigmosta Ning Sun David Judi Huilin Gao |
| author_sort | Xudong Li |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-12T15:54:24Z |
| format | Article |
| id | doaj.art-157d81b11f7d40bd9d473059bf3f123e |
| institution | Directory Open Access Journal |
| issn | 1748-9326 |
| language | English |
| last_indexed | 2024-03-12T15:54:24Z |
| publishDate | 2020-01-01 |
| publisher | IOP Publishing |
| record_format | Article |
| series | Environmental Research Letters |
| spelling | doaj.art-157d81b11f7d40bd9d473059bf3f123e2023-08-09T14:58:44ZengIOP PublishingEnvironmental Research Letters1748-93262020-01-01151212401210.1088/1748-9326/abc4ffImpacts of urbanization, antecedent rainfall event, and cyclone tracks on extreme floods at Houston reservoirs during Hurricane HarveyXudong Li0https://orcid.org/0000-0001-5832-4663Gang Zhao1https://orcid.org/0000-0003-2737-0530John Nielsen-Gammon2Joel Salazar3Mark Wigmosta4Ning Sun5https://orcid.org/0000-0002-4094-4482David Judi6Huilin Gao7https://orcid.org/0000-0001-7009-8005Zachry Department of Civil and Environmental Engineering, Texas A&M University , College Station, TX 77843, United States of AmericaZachry Department of Civil and Environmental Engineering, Texas A&M University , College Station, TX 77843, United States of AmericaDepartment of Atmospheric Sciences, Texas A&M University , College Station, TX 77843, United States of AmericaDepartment of Atmospheric Sciences, Texas A&M University , College Station, TX 77843, United States of AmericaEnergy and Environment Directorate, Pacific Northwest National Laboratory , Richland, WA 99352, United States of AmericaEnergy and Environment Directorate, Pacific Northwest National Laboratory , Richland, WA 99352, United States of AmericaEnergy and Environment Directorate, Pacific Northwest National Laboratory , Richland, WA 99352, United States of AmericaZachry Department of Civil and Environmental Engineering, Texas A&M University , College Station, TX 77843, United States of AmericaThe 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.https://doi.org/10.1088/1748-9326/abc4ffHurricane Harveycyclone trackmaximum possible rainfallurbanizationantecedent rainfall eventflood simulation |
| spellingShingle | Xudong Li Gang Zhao John Nielsen-Gammon Joel Salazar Mark Wigmosta Ning Sun David Judi Huilin Gao Impacts of urbanization, antecedent rainfall event, and cyclone tracks on extreme floods at Houston reservoirs during Hurricane Harvey Environmental Research Letters Hurricane Harvey cyclone track maximum possible rainfall urbanization antecedent rainfall event flood simulation |
| title | Impacts of urbanization, antecedent rainfall event, and cyclone tracks on extreme floods at Houston reservoirs during Hurricane Harvey |
| title_full | Impacts of urbanization, antecedent rainfall event, and cyclone tracks on extreme floods at Houston reservoirs during Hurricane Harvey |
| title_fullStr | Impacts of urbanization, antecedent rainfall event, and cyclone tracks on extreme floods at Houston reservoirs during Hurricane Harvey |
| title_full_unstemmed | Impacts of urbanization, antecedent rainfall event, and cyclone tracks on extreme floods at Houston reservoirs during Hurricane Harvey |
| title_short | Impacts of urbanization, antecedent rainfall event, and cyclone tracks on extreme floods at Houston reservoirs during Hurricane Harvey |
| title_sort | impacts of urbanization antecedent rainfall event and cyclone tracks on extreme floods at houston reservoirs during hurricane harvey |
| topic | Hurricane Harvey cyclone track maximum possible rainfall urbanization antecedent rainfall event flood simulation |
| url | https://doi.org/10.1088/1748-9326/abc4ff |
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