Exploring the impact of urbanization on flood characteristics with the SCS-TRITON method
Abstract Urbanization is one of the main factors altering hydrological processes. To understand the influence of urbanization on flood characteristics including runoff, inundation and streamflow, it is essential to quantify the level of urbanization and analyze the corresponding impacts on flood. Th...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Yu, Hongjie [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2023 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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| Übergeordnetes Werk: |
Enthalten in: Natural hazards - Springer Netherlands, 1988, 120(2023), 4 vom: 28. Nov., Seite 3213-3238 |
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| Übergeordnetes Werk: |
volume:120 ; year:2023 ; number:4 ; day:28 ; month:11 ; pages:3213-3238 |
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| DOI / URN: |
10.1007/s11069-023-06324-z |
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| Katalog-ID: |
SPR05525134X |
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| 520 | |a Abstract Urbanization is one of the main factors altering hydrological processes. To understand the influence of urbanization on flood characteristics including runoff, inundation and streamflow, it is essential to quantify the level of urbanization and analyze the corresponding impacts on flood. This study proposed an integrated and systematic framework to assess how urbanization affects flood characteristics in Hangzhou, China. Land use changes in 2000–2020 representing the level of urbanization were extracted from Landsat images with an ensemble machine learning method and future scenarios were designed with Patch-generating Land Use Simulation (PLUS). The runoff, inundation and streamflow under 24 h design rainfall with 100 year return period were assessed using the integrated hydrologic-hydraulic model for land use of different years. Finally, the relationship between land use changes and flood characteristics were identified and analyzed. It was found that the study area underwent a rapid urbanization process with artificial surface increasing from 6.93% to 29.12% during 2000–2020. Total runoff volume and total inundation volume showed a growing trend with a percentage change of 5.96% and 12.33% respectively under the design rainfall. This study highlights the significance of water body area in influencing flood characteristics. The results of this study can improve understanding of flood responses to land use and provide useful insight to decision makers in developing urban flood management measures. | ||
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10.1007/s11069-023-06324-z doi (DE-627)SPR05525134X (SPR)s11069-023-06324-z-e DE-627 ger DE-627 rakwb eng 550 VZ 31.00 bkl 43.48 bkl Yu, Hongjie verfasserin aut Exploring the impact of urbanization on flood characteristics with the SCS-TRITON method 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Urbanization is one of the main factors altering hydrological processes. To understand the influence of urbanization on flood characteristics including runoff, inundation and streamflow, it is essential to quantify the level of urbanization and analyze the corresponding impacts on flood. This study proposed an integrated and systematic framework to assess how urbanization affects flood characteristics in Hangzhou, China. Land use changes in 2000–2020 representing the level of urbanization were extracted from Landsat images with an ensemble machine learning method and future scenarios were designed with Patch-generating Land Use Simulation (PLUS). The runoff, inundation and streamflow under 24 h design rainfall with 100 year return period were assessed using the integrated hydrologic-hydraulic model for land use of different years. Finally, the relationship between land use changes and flood characteristics were identified and analyzed. It was found that the study area underwent a rapid urbanization process with artificial surface increasing from 6.93% to 29.12% during 2000–2020. Total runoff volume and total inundation volume showed a growing trend with a percentage change of 5.96% and 12.33% respectively under the design rainfall. This study highlights the significance of water body area in influencing flood characteristics. The results of this study can improve understanding of flood responses to land use and provide useful insight to decision makers in developing urban flood management measures. Urbanization (dpeaa)DE-He213 Land use change (dpeaa)DE-He213 Hydrologic-hydraulic model (dpeaa)DE-He213 Runoff (dpeaa)DE-He213 Inundation (dpeaa)DE-He213 Flood characteristic (dpeaa)DE-He213 Xu, Yue-Ping aut Zhong, Hua aut Chiang, Yen-Ming aut Liu, Li aut Enthalten in Natural hazards Springer Netherlands, 1988 120(2023), 4 vom: 28. Nov., Seite 3213-3238 (DE-627)315621729 (DE-600)2017806-2 1573-0840 nnns volume:120 year:2023 number:4 day:28 month:11 pages:3213-3238 https://dx.doi.org/10.1007/s11069-023-06324-z lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER SSG-OPC-GGO SSG-OPC-MAT GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 31.00 VZ 43.48 VZ AR 120 2023 4 28 11 3213-3238 |
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10.1007/s11069-023-06324-z doi (DE-627)SPR05525134X (SPR)s11069-023-06324-z-e DE-627 ger DE-627 rakwb eng 550 VZ 31.00 bkl 43.48 bkl Yu, Hongjie verfasserin aut Exploring the impact of urbanization on flood characteristics with the SCS-TRITON method 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Urbanization is one of the main factors altering hydrological processes. To understand the influence of urbanization on flood characteristics including runoff, inundation and streamflow, it is essential to quantify the level of urbanization and analyze the corresponding impacts on flood. This study proposed an integrated and systematic framework to assess how urbanization affects flood characteristics in Hangzhou, China. Land use changes in 2000–2020 representing the level of urbanization were extracted from Landsat images with an ensemble machine learning method and future scenarios were designed with Patch-generating Land Use Simulation (PLUS). The runoff, inundation and streamflow under 24 h design rainfall with 100 year return period were assessed using the integrated hydrologic-hydraulic model for land use of different years. Finally, the relationship between land use changes and flood characteristics were identified and analyzed. It was found that the study area underwent a rapid urbanization process with artificial surface increasing from 6.93% to 29.12% during 2000–2020. Total runoff volume and total inundation volume showed a growing trend with a percentage change of 5.96% and 12.33% respectively under the design rainfall. This study highlights the significance of water body area in influencing flood characteristics. The results of this study can improve understanding of flood responses to land use and provide useful insight to decision makers in developing urban flood management measures. Urbanization (dpeaa)DE-He213 Land use change (dpeaa)DE-He213 Hydrologic-hydraulic model (dpeaa)DE-He213 Runoff (dpeaa)DE-He213 Inundation (dpeaa)DE-He213 Flood characteristic (dpeaa)DE-He213 Xu, Yue-Ping aut Zhong, Hua aut Chiang, Yen-Ming aut Liu, Li aut Enthalten in Natural hazards Springer Netherlands, 1988 120(2023), 4 vom: 28. Nov., Seite 3213-3238 (DE-627)315621729 (DE-600)2017806-2 1573-0840 nnns volume:120 year:2023 number:4 day:28 month:11 pages:3213-3238 https://dx.doi.org/10.1007/s11069-023-06324-z lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER SSG-OPC-GGO SSG-OPC-MAT GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 31.00 VZ 43.48 VZ AR 120 2023 4 28 11 3213-3238 |
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10.1007/s11069-023-06324-z doi (DE-627)SPR05525134X (SPR)s11069-023-06324-z-e DE-627 ger DE-627 rakwb eng 550 VZ 31.00 bkl 43.48 bkl Yu, Hongjie verfasserin aut Exploring the impact of urbanization on flood characteristics with the SCS-TRITON method 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Urbanization is one of the main factors altering hydrological processes. To understand the influence of urbanization on flood characteristics including runoff, inundation and streamflow, it is essential to quantify the level of urbanization and analyze the corresponding impacts on flood. This study proposed an integrated and systematic framework to assess how urbanization affects flood characteristics in Hangzhou, China. Land use changes in 2000–2020 representing the level of urbanization were extracted from Landsat images with an ensemble machine learning method and future scenarios were designed with Patch-generating Land Use Simulation (PLUS). The runoff, inundation and streamflow under 24 h design rainfall with 100 year return period were assessed using the integrated hydrologic-hydraulic model for land use of different years. Finally, the relationship between land use changes and flood characteristics were identified and analyzed. It was found that the study area underwent a rapid urbanization process with artificial surface increasing from 6.93% to 29.12% during 2000–2020. Total runoff volume and total inundation volume showed a growing trend with a percentage change of 5.96% and 12.33% respectively under the design rainfall. This study highlights the significance of water body area in influencing flood characteristics. The results of this study can improve understanding of flood responses to land use and provide useful insight to decision makers in developing urban flood management measures. Urbanization (dpeaa)DE-He213 Land use change (dpeaa)DE-He213 Hydrologic-hydraulic model (dpeaa)DE-He213 Runoff (dpeaa)DE-He213 Inundation (dpeaa)DE-He213 Flood characteristic (dpeaa)DE-He213 Xu, Yue-Ping aut Zhong, Hua aut Chiang, Yen-Ming aut Liu, Li aut Enthalten in Natural hazards Springer Netherlands, 1988 120(2023), 4 vom: 28. Nov., Seite 3213-3238 (DE-627)315621729 (DE-600)2017806-2 1573-0840 nnns volume:120 year:2023 number:4 day:28 month:11 pages:3213-3238 https://dx.doi.org/10.1007/s11069-023-06324-z lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER SSG-OPC-GGO SSG-OPC-MAT GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 31.00 VZ 43.48 VZ AR 120 2023 4 28 11 3213-3238 |
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10.1007/s11069-023-06324-z doi (DE-627)SPR05525134X (SPR)s11069-023-06324-z-e DE-627 ger DE-627 rakwb eng 550 VZ 31.00 bkl 43.48 bkl Yu, Hongjie verfasserin aut Exploring the impact of urbanization on flood characteristics with the SCS-TRITON method 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Urbanization is one of the main factors altering hydrological processes. To understand the influence of urbanization on flood characteristics including runoff, inundation and streamflow, it is essential to quantify the level of urbanization and analyze the corresponding impacts on flood. This study proposed an integrated and systematic framework to assess how urbanization affects flood characteristics in Hangzhou, China. Land use changes in 2000–2020 representing the level of urbanization were extracted from Landsat images with an ensemble machine learning method and future scenarios were designed with Patch-generating Land Use Simulation (PLUS). The runoff, inundation and streamflow under 24 h design rainfall with 100 year return period were assessed using the integrated hydrologic-hydraulic model for land use of different years. Finally, the relationship between land use changes and flood characteristics were identified and analyzed. It was found that the study area underwent a rapid urbanization process with artificial surface increasing from 6.93% to 29.12% during 2000–2020. Total runoff volume and total inundation volume showed a growing trend with a percentage change of 5.96% and 12.33% respectively under the design rainfall. This study highlights the significance of water body area in influencing flood characteristics. The results of this study can improve understanding of flood responses to land use and provide useful insight to decision makers in developing urban flood management measures. Urbanization (dpeaa)DE-He213 Land use change (dpeaa)DE-He213 Hydrologic-hydraulic model (dpeaa)DE-He213 Runoff (dpeaa)DE-He213 Inundation (dpeaa)DE-He213 Flood characteristic (dpeaa)DE-He213 Xu, Yue-Ping aut Zhong, Hua aut Chiang, Yen-Ming aut Liu, Li aut Enthalten in Natural hazards Springer Netherlands, 1988 120(2023), 4 vom: 28. Nov., Seite 3213-3238 (DE-627)315621729 (DE-600)2017806-2 1573-0840 nnns volume:120 year:2023 number:4 day:28 month:11 pages:3213-3238 https://dx.doi.org/10.1007/s11069-023-06324-z lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER SSG-OPC-GGO SSG-OPC-MAT GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 31.00 VZ 43.48 VZ AR 120 2023 4 28 11 3213-3238 |
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10.1007/s11069-023-06324-z doi (DE-627)SPR05525134X (SPR)s11069-023-06324-z-e DE-627 ger DE-627 rakwb eng 550 VZ 31.00 bkl 43.48 bkl Yu, Hongjie verfasserin aut Exploring the impact of urbanization on flood characteristics with the SCS-TRITON method 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Urbanization is one of the main factors altering hydrological processes. To understand the influence of urbanization on flood characteristics including runoff, inundation and streamflow, it is essential to quantify the level of urbanization and analyze the corresponding impacts on flood. This study proposed an integrated and systematic framework to assess how urbanization affects flood characteristics in Hangzhou, China. Land use changes in 2000–2020 representing the level of urbanization were extracted from Landsat images with an ensemble machine learning method and future scenarios were designed with Patch-generating Land Use Simulation (PLUS). The runoff, inundation and streamflow under 24 h design rainfall with 100 year return period were assessed using the integrated hydrologic-hydraulic model for land use of different years. Finally, the relationship between land use changes and flood characteristics were identified and analyzed. It was found that the study area underwent a rapid urbanization process with artificial surface increasing from 6.93% to 29.12% during 2000–2020. Total runoff volume and total inundation volume showed a growing trend with a percentage change of 5.96% and 12.33% respectively under the design rainfall. This study highlights the significance of water body area in influencing flood characteristics. The results of this study can improve understanding of flood responses to land use and provide useful insight to decision makers in developing urban flood management measures. Urbanization (dpeaa)DE-He213 Land use change (dpeaa)DE-He213 Hydrologic-hydraulic model (dpeaa)DE-He213 Runoff (dpeaa)DE-He213 Inundation (dpeaa)DE-He213 Flood characteristic (dpeaa)DE-He213 Xu, Yue-Ping aut Zhong, Hua aut Chiang, Yen-Ming aut Liu, Li aut Enthalten in Natural hazards Springer Netherlands, 1988 120(2023), 4 vom: 28. Nov., Seite 3213-3238 (DE-627)315621729 (DE-600)2017806-2 1573-0840 nnns volume:120 year:2023 number:4 day:28 month:11 pages:3213-3238 https://dx.doi.org/10.1007/s11069-023-06324-z lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER SSG-OPC-GGO SSG-OPC-MAT GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 31.00 VZ 43.48 VZ AR 120 2023 4 28 11 3213-3238 |
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Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Urbanization is one of the main factors altering hydrological processes. To understand the influence of urbanization on flood characteristics including runoff, inundation and streamflow, it is essential to quantify the level of urbanization and analyze the corresponding impacts on flood. This study proposed an integrated and systematic framework to assess how urbanization affects flood characteristics in Hangzhou, China. Land use changes in 2000–2020 representing the level of urbanization were extracted from Landsat images with an ensemble machine learning method and future scenarios were designed with Patch-generating Land Use Simulation (PLUS). The runoff, inundation and streamflow under 24 h design rainfall with 100 year return period were assessed using the integrated hydrologic-hydraulic model for land use of different years. Finally, the relationship between land use changes and flood characteristics were identified and analyzed. It was found that the study area underwent a rapid urbanization process with artificial surface increasing from 6.93% to 29.12% during 2000–2020. Total runoff volume and total inundation volume showed a growing trend with a percentage change of 5.96% and 12.33% respectively under the design rainfall. This study highlights the significance of water body area in influencing flood characteristics. 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Yu, Hongjie |
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Yu, Hongjie ddc 550 bkl 31.00 bkl 43.48 misc Urbanization misc Land use change misc Hydrologic-hydraulic model misc Runoff misc Inundation misc Flood characteristic Exploring the impact of urbanization on flood characteristics with the SCS-TRITON method |
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550 VZ 31.00 bkl 43.48 bkl Exploring the impact of urbanization on flood characteristics with the SCS-TRITON method Urbanization (dpeaa)DE-He213 Land use change (dpeaa)DE-He213 Hydrologic-hydraulic model (dpeaa)DE-He213 Runoff (dpeaa)DE-He213 Inundation (dpeaa)DE-He213 Flood characteristic (dpeaa)DE-He213 |
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ddc 550 bkl 31.00 bkl 43.48 misc Urbanization misc Land use change misc Hydrologic-hydraulic model misc Runoff misc Inundation misc Flood characteristic |
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ddc 550 bkl 31.00 bkl 43.48 misc Urbanization misc Land use change misc Hydrologic-hydraulic model misc Runoff misc Inundation misc Flood characteristic |
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exploring the impact of urbanization on flood characteristics with the scs-triton method |
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Exploring the impact of urbanization on flood characteristics with the SCS-TRITON method |
| abstract |
Abstract Urbanization is one of the main factors altering hydrological processes. To understand the influence of urbanization on flood characteristics including runoff, inundation and streamflow, it is essential to quantify the level of urbanization and analyze the corresponding impacts on flood. This study proposed an integrated and systematic framework to assess how urbanization affects flood characteristics in Hangzhou, China. Land use changes in 2000–2020 representing the level of urbanization were extracted from Landsat images with an ensemble machine learning method and future scenarios were designed with Patch-generating Land Use Simulation (PLUS). The runoff, inundation and streamflow under 24 h design rainfall with 100 year return period were assessed using the integrated hydrologic-hydraulic model for land use of different years. Finally, the relationship between land use changes and flood characteristics were identified and analyzed. It was found that the study area underwent a rapid urbanization process with artificial surface increasing from 6.93% to 29.12% during 2000–2020. Total runoff volume and total inundation volume showed a growing trend with a percentage change of 5.96% and 12.33% respectively under the design rainfall. This study highlights the significance of water body area in influencing flood characteristics. The results of this study can improve understanding of flood responses to land use and provide useful insight to decision makers in developing urban flood management measures. © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstractGer |
Abstract Urbanization is one of the main factors altering hydrological processes. To understand the influence of urbanization on flood characteristics including runoff, inundation and streamflow, it is essential to quantify the level of urbanization and analyze the corresponding impacts on flood. This study proposed an integrated and systematic framework to assess how urbanization affects flood characteristics in Hangzhou, China. Land use changes in 2000–2020 representing the level of urbanization were extracted from Landsat images with an ensemble machine learning method and future scenarios were designed with Patch-generating Land Use Simulation (PLUS). The runoff, inundation and streamflow under 24 h design rainfall with 100 year return period were assessed using the integrated hydrologic-hydraulic model for land use of different years. Finally, the relationship between land use changes and flood characteristics were identified and analyzed. It was found that the study area underwent a rapid urbanization process with artificial surface increasing from 6.93% to 29.12% during 2000–2020. Total runoff volume and total inundation volume showed a growing trend with a percentage change of 5.96% and 12.33% respectively under the design rainfall. This study highlights the significance of water body area in influencing flood characteristics. The results of this study can improve understanding of flood responses to land use and provide useful insight to decision makers in developing urban flood management measures. © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstract_unstemmed |
Abstract Urbanization is one of the main factors altering hydrological processes. To understand the influence of urbanization on flood characteristics including runoff, inundation and streamflow, it is essential to quantify the level of urbanization and analyze the corresponding impacts on flood. This study proposed an integrated and systematic framework to assess how urbanization affects flood characteristics in Hangzhou, China. Land use changes in 2000–2020 representing the level of urbanization were extracted from Landsat images with an ensemble machine learning method and future scenarios were designed with Patch-generating Land Use Simulation (PLUS). The runoff, inundation and streamflow under 24 h design rainfall with 100 year return period were assessed using the integrated hydrologic-hydraulic model for land use of different years. Finally, the relationship between land use changes and flood characteristics were identified and analyzed. It was found that the study area underwent a rapid urbanization process with artificial surface increasing from 6.93% to 29.12% during 2000–2020. Total runoff volume and total inundation volume showed a growing trend with a percentage change of 5.96% and 12.33% respectively under the design rainfall. This study highlights the significance of water body area in influencing flood characteristics. The results of this study can improve understanding of flood responses to land use and provide useful insight to decision makers in developing urban flood management measures. © The Author(s), under exclusive licence to Springer Nature B.V. 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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| title_short |
Exploring the impact of urbanization on flood characteristics with the SCS-TRITON method |
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https://dx.doi.org/10.1007/s11069-023-06324-z |
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Xu, Yue-Ping Zhong, Hua Chiang, Yen-Ming Liu, Li |
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2024-07-03T14:21:58.281Z |
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| score |
7.396364 |