Urban flood resilience – A multi-criteria index to integrate flood resilience into urban planning
Climate change and increasing urbanization pose huge challenges in managing urban planning for a sustainable future. Intense urbanization resulting in the so-called mega cites aggravates floods by increasing the amount of impermeable surfaces and modifying flow routes. Statistics show that flood dis...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Bertilsson, Louise [verfasserIn] Wiklund, Karin [verfasserIn] de Moura Tebaldi, Isadora [verfasserIn] Rezende, Osvaldo Moura [verfasserIn] Veról, Aline Pires [verfasserIn] Miguez, Marcelo Gomes [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2018 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Journal of hydrology - Amsterdam [u.a.] : Elsevier, 1963, 573, Seite 970-982 |
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| Übergeordnetes Werk: |
volume:573 ; pages:970-982 |
| DOI / URN: |
10.1016/j.jhydrol.2018.06.052 |
|---|
| Katalog-ID: |
ELV002434628 |
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| 520 | |a Climate change and increasing urbanization pose huge challenges in managing urban planning for a sustainable future. Intense urbanization resulting in the so-called mega cites aggravates floods by increasing the amount of impermeable surfaces and modifying flow routes. Statistics show that flood disasters are one of the most significant in terms of damages and losses. Urbanization rates are increasing rapidly and it is important to learn how to live with floods by alleviating their consequences, in the present and future. This concern points to the resilience concept. By including the concept of resilience in flood risk analysis and decision-making, urban drainage design moves towards sustainable drainage systems. This study discusses resilience in the flood risk contextWe considered three main drivers to define a quantitative measure of flood resilience: the capability of a drainage system to resist and provide its service continuously over time; the capability of an urban area to recover from flood losses; and the capability of urban systems to evacuate floodwaters and return to a functional state. Consequently, this paper describes how flood resilience can be modeled and spatialized by a multi-criteria index called Spatialized Urban Flood Resilience Index (S-FRESI). The S-FRESI composition (according to the resilience definition adopted) combines: the hazard characteristics and the system exposure and susceptibility, to represent flood resistance mapped over time; the ability for material recovery from losses caused by inundation, considering the income variable; and the functional capacity of the drainage system, represented by the flood duration. S-FRESI can be used to measure and visualize the changes in flood resilience attained by different flood control measures, as well as in future scenarios of population growth, uncontrolled urbanization or climate change. The index was tested with coherent and consistent results in the Dona Eugênia river catchment in Rio de Janeiro. Four different scenarios were formulated: (1) the current situation; (2) the current situation considering the implementation of sustainable flood control measures; (3) a future situation with the same infrastructure as today; and (4) a future situation with the considered flood control measures. | ||
| 650 | 4 | |a Sustainable urban drainage | |
| 650 | 4 | |a Urban development | |
| 650 | 4 | |a Urban floods | |
| 650 | 4 | |a Flood risk | |
| 650 | 4 | |a Flood resilience | |
| 650 | 4 | |a Spatialized Urban Flood Resilience Index S-FRESI | |
| 700 | 1 | |a Wiklund, Karin |e verfasserin |4 aut | |
| 700 | 1 | |a de Moura Tebaldi, Isadora |e verfasserin |4 aut | |
| 700 | 1 | |a Rezende, Osvaldo Moura |e verfasserin |4 aut | |
| 700 | 1 | |a Veról, Aline Pires |e verfasserin |4 aut | |
| 700 | 1 | |a Miguez, Marcelo Gomes |e verfasserin |4 aut | |
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10.1016/j.jhydrol.2018.06.052 doi (DE-627)ELV002434628 (ELSEVIER)S0022-1694(18)30474-8 DE-627 ger DE-627 rda eng 690 DE-600 38.85 bkl Bertilsson, Louise verfasserin aut Urban flood resilience – A multi-criteria index to integrate flood resilience into urban planning 2018 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Climate change and increasing urbanization pose huge challenges in managing urban planning for a sustainable future. Intense urbanization resulting in the so-called mega cites aggravates floods by increasing the amount of impermeable surfaces and modifying flow routes. Statistics show that flood disasters are one of the most significant in terms of damages and losses. Urbanization rates are increasing rapidly and it is important to learn how to live with floods by alleviating their consequences, in the present and future. This concern points to the resilience concept. By including the concept of resilience in flood risk analysis and decision-making, urban drainage design moves towards sustainable drainage systems. This study discusses resilience in the flood risk contextWe considered three main drivers to define a quantitative measure of flood resilience: the capability of a drainage system to resist and provide its service continuously over time; the capability of an urban area to recover from flood losses; and the capability of urban systems to evacuate floodwaters and return to a functional state. Consequently, this paper describes how flood resilience can be modeled and spatialized by a multi-criteria index called Spatialized Urban Flood Resilience Index (S-FRESI). The S-FRESI composition (according to the resilience definition adopted) combines: the hazard characteristics and the system exposure and susceptibility, to represent flood resistance mapped over time; the ability for material recovery from losses caused by inundation, considering the income variable; and the functional capacity of the drainage system, represented by the flood duration. S-FRESI can be used to measure and visualize the changes in flood resilience attained by different flood control measures, as well as in future scenarios of population growth, uncontrolled urbanization or climate change. The index was tested with coherent and consistent results in the Dona Eugênia river catchment in Rio de Janeiro. Four different scenarios were formulated: (1) the current situation; (2) the current situation considering the implementation of sustainable flood control measures; (3) a future situation with the same infrastructure as today; and (4) a future situation with the considered flood control measures. Sustainable urban drainage Urban development Urban floods Flood risk Flood resilience Spatialized Urban Flood Resilience Index S-FRESI Wiklund, Karin verfasserin aut de Moura Tebaldi, Isadora verfasserin aut Rezende, Osvaldo Moura verfasserin aut Veról, Aline Pires verfasserin aut Miguez, Marcelo Gomes verfasserin aut Enthalten in Journal of hydrology Amsterdam [u.a.] : Elsevier, 1963 573, Seite 970-982 Online-Ressource (DE-627)268761817 (DE-600)1473173-3 (DE-576)077610628 1879-2707 nnns volume:573 pages:970-982 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OPC-GGO GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 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_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 38.85 Hydrologie: Allgemeines AR 573 970-982 |
| spelling |
10.1016/j.jhydrol.2018.06.052 doi (DE-627)ELV002434628 (ELSEVIER)S0022-1694(18)30474-8 DE-627 ger DE-627 rda eng 690 DE-600 38.85 bkl Bertilsson, Louise verfasserin aut Urban flood resilience – A multi-criteria index to integrate flood resilience into urban planning 2018 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Climate change and increasing urbanization pose huge challenges in managing urban planning for a sustainable future. Intense urbanization resulting in the so-called mega cites aggravates floods by increasing the amount of impermeable surfaces and modifying flow routes. Statistics show that flood disasters are one of the most significant in terms of damages and losses. Urbanization rates are increasing rapidly and it is important to learn how to live with floods by alleviating their consequences, in the present and future. This concern points to the resilience concept. By including the concept of resilience in flood risk analysis and decision-making, urban drainage design moves towards sustainable drainage systems. This study discusses resilience in the flood risk contextWe considered three main drivers to define a quantitative measure of flood resilience: the capability of a drainage system to resist and provide its service continuously over time; the capability of an urban area to recover from flood losses; and the capability of urban systems to evacuate floodwaters and return to a functional state. Consequently, this paper describes how flood resilience can be modeled and spatialized by a multi-criteria index called Spatialized Urban Flood Resilience Index (S-FRESI). The S-FRESI composition (according to the resilience definition adopted) combines: the hazard characteristics and the system exposure and susceptibility, to represent flood resistance mapped over time; the ability for material recovery from losses caused by inundation, considering the income variable; and the functional capacity of the drainage system, represented by the flood duration. S-FRESI can be used to measure and visualize the changes in flood resilience attained by different flood control measures, as well as in future scenarios of population growth, uncontrolled urbanization or climate change. The index was tested with coherent and consistent results in the Dona Eugênia river catchment in Rio de Janeiro. Four different scenarios were formulated: (1) the current situation; (2) the current situation considering the implementation of sustainable flood control measures; (3) a future situation with the same infrastructure as today; and (4) a future situation with the considered flood control measures. Sustainable urban drainage Urban development Urban floods Flood risk Flood resilience Spatialized Urban Flood Resilience Index S-FRESI Wiklund, Karin verfasserin aut de Moura Tebaldi, Isadora verfasserin aut Rezende, Osvaldo Moura verfasserin aut Veról, Aline Pires verfasserin aut Miguez, Marcelo Gomes verfasserin aut Enthalten in Journal of hydrology Amsterdam [u.a.] : Elsevier, 1963 573, Seite 970-982 Online-Ressource (DE-627)268761817 (DE-600)1473173-3 (DE-576)077610628 1879-2707 nnns volume:573 pages:970-982 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OPC-GGO GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 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_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 38.85 Hydrologie: Allgemeines AR 573 970-982 |
| allfields_unstemmed |
10.1016/j.jhydrol.2018.06.052 doi (DE-627)ELV002434628 (ELSEVIER)S0022-1694(18)30474-8 DE-627 ger DE-627 rda eng 690 DE-600 38.85 bkl Bertilsson, Louise verfasserin aut Urban flood resilience – A multi-criteria index to integrate flood resilience into urban planning 2018 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Climate change and increasing urbanization pose huge challenges in managing urban planning for a sustainable future. Intense urbanization resulting in the so-called mega cites aggravates floods by increasing the amount of impermeable surfaces and modifying flow routes. Statistics show that flood disasters are one of the most significant in terms of damages and losses. Urbanization rates are increasing rapidly and it is important to learn how to live with floods by alleviating their consequences, in the present and future. This concern points to the resilience concept. By including the concept of resilience in flood risk analysis and decision-making, urban drainage design moves towards sustainable drainage systems. This study discusses resilience in the flood risk contextWe considered three main drivers to define a quantitative measure of flood resilience: the capability of a drainage system to resist and provide its service continuously over time; the capability of an urban area to recover from flood losses; and the capability of urban systems to evacuate floodwaters and return to a functional state. Consequently, this paper describes how flood resilience can be modeled and spatialized by a multi-criteria index called Spatialized Urban Flood Resilience Index (S-FRESI). The S-FRESI composition (according to the resilience definition adopted) combines: the hazard characteristics and the system exposure and susceptibility, to represent flood resistance mapped over time; the ability for material recovery from losses caused by inundation, considering the income variable; and the functional capacity of the drainage system, represented by the flood duration. S-FRESI can be used to measure and visualize the changes in flood resilience attained by different flood control measures, as well as in future scenarios of population growth, uncontrolled urbanization or climate change. The index was tested with coherent and consistent results in the Dona Eugênia river catchment in Rio de Janeiro. Four different scenarios were formulated: (1) the current situation; (2) the current situation considering the implementation of sustainable flood control measures; (3) a future situation with the same infrastructure as today; and (4) a future situation with the considered flood control measures. Sustainable urban drainage Urban development Urban floods Flood risk Flood resilience Spatialized Urban Flood Resilience Index S-FRESI Wiklund, Karin verfasserin aut de Moura Tebaldi, Isadora verfasserin aut Rezende, Osvaldo Moura verfasserin aut Veról, Aline Pires verfasserin aut Miguez, Marcelo Gomes verfasserin aut Enthalten in Journal of hydrology Amsterdam [u.a.] : Elsevier, 1963 573, Seite 970-982 Online-Ressource (DE-627)268761817 (DE-600)1473173-3 (DE-576)077610628 1879-2707 nnns volume:573 pages:970-982 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OPC-GGO GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 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_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 38.85 Hydrologie: Allgemeines AR 573 970-982 |
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10.1016/j.jhydrol.2018.06.052 doi (DE-627)ELV002434628 (ELSEVIER)S0022-1694(18)30474-8 DE-627 ger DE-627 rda eng 690 DE-600 38.85 bkl Bertilsson, Louise verfasserin aut Urban flood resilience – A multi-criteria index to integrate flood resilience into urban planning 2018 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Climate change and increasing urbanization pose huge challenges in managing urban planning for a sustainable future. Intense urbanization resulting in the so-called mega cites aggravates floods by increasing the amount of impermeable surfaces and modifying flow routes. Statistics show that flood disasters are one of the most significant in terms of damages and losses. Urbanization rates are increasing rapidly and it is important to learn how to live with floods by alleviating their consequences, in the present and future. This concern points to the resilience concept. By including the concept of resilience in flood risk analysis and decision-making, urban drainage design moves towards sustainable drainage systems. This study discusses resilience in the flood risk contextWe considered three main drivers to define a quantitative measure of flood resilience: the capability of a drainage system to resist and provide its service continuously over time; the capability of an urban area to recover from flood losses; and the capability of urban systems to evacuate floodwaters and return to a functional state. Consequently, this paper describes how flood resilience can be modeled and spatialized by a multi-criteria index called Spatialized Urban Flood Resilience Index (S-FRESI). The S-FRESI composition (according to the resilience definition adopted) combines: the hazard characteristics and the system exposure and susceptibility, to represent flood resistance mapped over time; the ability for material recovery from losses caused by inundation, considering the income variable; and the functional capacity of the drainage system, represented by the flood duration. S-FRESI can be used to measure and visualize the changes in flood resilience attained by different flood control measures, as well as in future scenarios of population growth, uncontrolled urbanization or climate change. The index was tested with coherent and consistent results in the Dona Eugênia river catchment in Rio de Janeiro. Four different scenarios were formulated: (1) the current situation; (2) the current situation considering the implementation of sustainable flood control measures; (3) a future situation with the same infrastructure as today; and (4) a future situation with the considered flood control measures. Sustainable urban drainage Urban development Urban floods Flood risk Flood resilience Spatialized Urban Flood Resilience Index S-FRESI Wiklund, Karin verfasserin aut de Moura Tebaldi, Isadora verfasserin aut Rezende, Osvaldo Moura verfasserin aut Veról, Aline Pires verfasserin aut Miguez, Marcelo Gomes verfasserin aut Enthalten in Journal of hydrology Amsterdam [u.a.] : Elsevier, 1963 573, Seite 970-982 Online-Ressource (DE-627)268761817 (DE-600)1473173-3 (DE-576)077610628 1879-2707 nnns volume:573 pages:970-982 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OPC-GGO GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 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_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 38.85 Hydrologie: Allgemeines AR 573 970-982 |
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10.1016/j.jhydrol.2018.06.052 doi (DE-627)ELV002434628 (ELSEVIER)S0022-1694(18)30474-8 DE-627 ger DE-627 rda eng 690 DE-600 38.85 bkl Bertilsson, Louise verfasserin aut Urban flood resilience – A multi-criteria index to integrate flood resilience into urban planning 2018 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Climate change and increasing urbanization pose huge challenges in managing urban planning for a sustainable future. Intense urbanization resulting in the so-called mega cites aggravates floods by increasing the amount of impermeable surfaces and modifying flow routes. Statistics show that flood disasters are one of the most significant in terms of damages and losses. Urbanization rates are increasing rapidly and it is important to learn how to live with floods by alleviating their consequences, in the present and future. This concern points to the resilience concept. By including the concept of resilience in flood risk analysis and decision-making, urban drainage design moves towards sustainable drainage systems. This study discusses resilience in the flood risk contextWe considered three main drivers to define a quantitative measure of flood resilience: the capability of a drainage system to resist and provide its service continuously over time; the capability of an urban area to recover from flood losses; and the capability of urban systems to evacuate floodwaters and return to a functional state. Consequently, this paper describes how flood resilience can be modeled and spatialized by a multi-criteria index called Spatialized Urban Flood Resilience Index (S-FRESI). The S-FRESI composition (according to the resilience definition adopted) combines: the hazard characteristics and the system exposure and susceptibility, to represent flood resistance mapped over time; the ability for material recovery from losses caused by inundation, considering the income variable; and the functional capacity of the drainage system, represented by the flood duration. S-FRESI can be used to measure and visualize the changes in flood resilience attained by different flood control measures, as well as in future scenarios of population growth, uncontrolled urbanization or climate change. The index was tested with coherent and consistent results in the Dona Eugênia river catchment in Rio de Janeiro. Four different scenarios were formulated: (1) the current situation; (2) the current situation considering the implementation of sustainable flood control measures; (3) a future situation with the same infrastructure as today; and (4) a future situation with the considered flood control measures. Sustainable urban drainage Urban development Urban floods Flood risk Flood resilience Spatialized Urban Flood Resilience Index S-FRESI Wiklund, Karin verfasserin aut de Moura Tebaldi, Isadora verfasserin aut Rezende, Osvaldo Moura verfasserin aut Veról, Aline Pires verfasserin aut Miguez, Marcelo Gomes verfasserin aut Enthalten in Journal of hydrology Amsterdam [u.a.] : Elsevier, 1963 573, Seite 970-982 Online-Ressource (DE-627)268761817 (DE-600)1473173-3 (DE-576)077610628 1879-2707 nnns volume:573 pages:970-982 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OPC-GGO GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 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_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 38.85 Hydrologie: Allgemeines AR 573 970-982 |
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Enthalten in Journal of hydrology 573, Seite 970-982 volume:573 pages:970-982 |
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Sustainable urban drainage Urban development Urban floods Flood risk Flood resilience Spatialized Urban Flood Resilience Index S-FRESI |
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Bertilsson, Louise @@aut@@ Wiklund, Karin @@aut@@ de Moura Tebaldi, Isadora @@aut@@ Rezende, Osvaldo Moura @@aut@@ Veról, Aline Pires @@aut@@ Miguez, Marcelo Gomes @@aut@@ |
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2018-01-01T00:00:00Z |
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Bertilsson, Louise ddc 690 bkl 38.85 misc Sustainable urban drainage misc Urban development misc Urban floods misc Flood risk misc Flood resilience misc Spatialized Urban Flood Resilience Index S-FRESI Urban flood resilience – A multi-criteria index to integrate flood resilience into urban planning |
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urban flood resilience – a multi-criteria index to integrate flood resilience into urban planning |
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Urban flood resilience – A multi-criteria index to integrate flood resilience into urban planning |
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Climate change and increasing urbanization pose huge challenges in managing urban planning for a sustainable future. Intense urbanization resulting in the so-called mega cites aggravates floods by increasing the amount of impermeable surfaces and modifying flow routes. Statistics show that flood disasters are one of the most significant in terms of damages and losses. Urbanization rates are increasing rapidly and it is important to learn how to live with floods by alleviating their consequences, in the present and future. This concern points to the resilience concept. By including the concept of resilience in flood risk analysis and decision-making, urban drainage design moves towards sustainable drainage systems. This study discusses resilience in the flood risk contextWe considered three main drivers to define a quantitative measure of flood resilience: the capability of a drainage system to resist and provide its service continuously over time; the capability of an urban area to recover from flood losses; and the capability of urban systems to evacuate floodwaters and return to a functional state. Consequently, this paper describes how flood resilience can be modeled and spatialized by a multi-criteria index called Spatialized Urban Flood Resilience Index (S-FRESI). The S-FRESI composition (according to the resilience definition adopted) combines: the hazard characteristics and the system exposure and susceptibility, to represent flood resistance mapped over time; the ability for material recovery from losses caused by inundation, considering the income variable; and the functional capacity of the drainage system, represented by the flood duration. S-FRESI can be used to measure and visualize the changes in flood resilience attained by different flood control measures, as well as in future scenarios of population growth, uncontrolled urbanization or climate change. The index was tested with coherent and consistent results in the Dona Eugênia river catchment in Rio de Janeiro. Four different scenarios were formulated: (1) the current situation; (2) the current situation considering the implementation of sustainable flood control measures; (3) a future situation with the same infrastructure as today; and (4) a future situation with the considered flood control measures. |
| abstractGer |
Climate change and increasing urbanization pose huge challenges in managing urban planning for a sustainable future. Intense urbanization resulting in the so-called mega cites aggravates floods by increasing the amount of impermeable surfaces and modifying flow routes. Statistics show that flood disasters are one of the most significant in terms of damages and losses. Urbanization rates are increasing rapidly and it is important to learn how to live with floods by alleviating their consequences, in the present and future. This concern points to the resilience concept. By including the concept of resilience in flood risk analysis and decision-making, urban drainage design moves towards sustainable drainage systems. This study discusses resilience in the flood risk contextWe considered three main drivers to define a quantitative measure of flood resilience: the capability of a drainage system to resist and provide its service continuously over time; the capability of an urban area to recover from flood losses; and the capability of urban systems to evacuate floodwaters and return to a functional state. Consequently, this paper describes how flood resilience can be modeled and spatialized by a multi-criteria index called Spatialized Urban Flood Resilience Index (S-FRESI). The S-FRESI composition (according to the resilience definition adopted) combines: the hazard characteristics and the system exposure and susceptibility, to represent flood resistance mapped over time; the ability for material recovery from losses caused by inundation, considering the income variable; and the functional capacity of the drainage system, represented by the flood duration. S-FRESI can be used to measure and visualize the changes in flood resilience attained by different flood control measures, as well as in future scenarios of population growth, uncontrolled urbanization or climate change. The index was tested with coherent and consistent results in the Dona Eugênia river catchment in Rio de Janeiro. Four different scenarios were formulated: (1) the current situation; (2) the current situation considering the implementation of sustainable flood control measures; (3) a future situation with the same infrastructure as today; and (4) a future situation with the considered flood control measures. |
| abstract_unstemmed |
Climate change and increasing urbanization pose huge challenges in managing urban planning for a sustainable future. Intense urbanization resulting in the so-called mega cites aggravates floods by increasing the amount of impermeable surfaces and modifying flow routes. Statistics show that flood disasters are one of the most significant in terms of damages and losses. Urbanization rates are increasing rapidly and it is important to learn how to live with floods by alleviating their consequences, in the present and future. This concern points to the resilience concept. By including the concept of resilience in flood risk analysis and decision-making, urban drainage design moves towards sustainable drainage systems. This study discusses resilience in the flood risk contextWe considered three main drivers to define a quantitative measure of flood resilience: the capability of a drainage system to resist and provide its service continuously over time; the capability of an urban area to recover from flood losses; and the capability of urban systems to evacuate floodwaters and return to a functional state. Consequently, this paper describes how flood resilience can be modeled and spatialized by a multi-criteria index called Spatialized Urban Flood Resilience Index (S-FRESI). The S-FRESI composition (according to the resilience definition adopted) combines: the hazard characteristics and the system exposure and susceptibility, to represent flood resistance mapped over time; the ability for material recovery from losses caused by inundation, considering the income variable; and the functional capacity of the drainage system, represented by the flood duration. S-FRESI can be used to measure and visualize the changes in flood resilience attained by different flood control measures, as well as in future scenarios of population growth, uncontrolled urbanization or climate change. The index was tested with coherent and consistent results in the Dona Eugênia river catchment in Rio de Janeiro. Four different scenarios were formulated: (1) the current situation; (2) the current situation considering the implementation of sustainable flood control measures; (3) a future situation with the same infrastructure as today; and (4) a future situation with the considered flood control measures. |
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