Assessing the impact of flood inundation dynamics on an urban environment
This study attempted to examine the complex impact of dynamic inundation process of extreme events on flood hazard assessment (FHA) for the affected urban settings around a local river in New York, USA. Using HEC-RAS 2D, LIDAR DEM, distributed values of surface roughness, and hourly discharges at bo...
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Published in | Natural hazards (Dordrecht) Vol. 109; no. 1; pp. 1047 - 1072 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
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Springer Netherlands
01.10.2021
Springer Nature B.V |
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Abstract | This study attempted to examine the complex impact of dynamic inundation process of extreme events on flood hazard assessment (FHA) for the affected urban settings around a local river in New York, USA. Using HEC-RAS 2D, LIDAR DEM, distributed values of surface roughness, and hourly discharges at both ends of the selected reach, we simulated the full inundation process of a 500-year storm event, constructed in terms of the existing largest storm event. We presented flooding status at three flooding moments and quantitatively described the temporal changes of inundation area, depth, and the associated stream power over the entire flood period. Then, we analyzed differences of inundated areas in four classes defined using traditional classification (TC) and process-based classification (PBC). The (static) former was based on the maximum inundation map, while the (dynamic) latter accounted for both inundation depth and duration. We showed that inundated areas in higher classes based on TC were much greater than those in similar classes based on PBC, indicating the significant impact of inundation duration on classification of flood hazard. Next, we investigated the impact of different land use/cover on the difference of inundated areas between the two types of classifications and found that it was complex and displayed no consistent trend from areas surrounding individual buildings (local scale) to large inundated areas (global scale). We emphasize the importance of considering the overall impact of the entire flood processes of an event on future FHA. |
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AbstractList | This study attempted to examine the complex impact of dynamic inundation process of extreme events on flood hazard assessment (FHA) for the affected urban settings around a local river in New York, USA. Using HEC-RAS 2D, LIDAR DEM, distributed values of surface roughness, and hourly discharges at both ends of the selected reach, we simulated the full inundation process of a 500-year storm event, constructed in terms of the existing largest storm event. We presented flooding status at three flooding moments and quantitatively described the temporal changes of inundation area, depth, and the associated stream power over the entire flood period. Then, we analyzed differences of inundated areas in four classes defined using traditional classification (TC) and process-based classification (PBC). The (static) former was based on the maximum inundation map, while the (dynamic) latter accounted for both inundation depth and duration. We showed that inundated areas in higher classes based on TC were much greater than those in similar classes based on PBC, indicating the significant impact of inundation duration on classification of flood hazard. Next, we investigated the impact of different land use/cover on the difference of inundated areas between the two types of classifications and found that it was complex and displayed no consistent trend from areas surrounding individual buildings (local scale) to large inundated areas (global scale). We emphasize the importance of considering the overall impact of the entire flood processes of an event on future FHA. |
Author | Ke, Nan Gao, Peng Gao, Wei |
Author_xml | – sequence: 1 givenname: Peng orcidid: 0000-0001-5323-9398 surname: Gao fullname: Gao, Peng email: pegao@syr.edu organization: Department of Geography and the Environment, Syracuse University – sequence: 2 givenname: Wei surname: Gao fullname: Gao, Wei organization: Department of Remote Sensing, China University of Geosciences – sequence: 3 givenname: Nan surname: Ke fullname: Ke, Nan organization: Department of Remote Sensing, China University of Geosciences |
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CitedBy_id | crossref_primary_10_1155_2022_2887502 crossref_primary_10_2166_nh_2023_206 crossref_primary_10_3390_w15010003 crossref_primary_10_1111_risa_14317 crossref_primary_10_1142_S2345748123500173 crossref_primary_10_2166_wst_2024_174 crossref_primary_10_3390_hydrology10080164 crossref_primary_10_1016_j_catena_2023_107634 |
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Keywords | Inundation depth Inundation process Inundation duration Flood hazard assessment HEC-RAS 2D |
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SubjectTerms | Civil Engineering Classification Earth and Environmental Science Earth Sciences Environmental Management Flood hazards Flooding Floods Geophysics/Geodesy Geotechnical Engineering & Applied Earth Sciences Hazard assessment Hydrogeology Land use Lidar Natural Hazards Original Paper Storms Surface roughness Temporal variations Urban areas Urban environments |
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Title | Assessing the impact of flood inundation dynamics on an urban environment |
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