Assessment of the physical vulnerability to erosion and flooding in a sheltered coastal sector: Florianópolis Bay, Brazil
Abstract This study aims to characterize the physical vulnerability of the western coast of Santa Catarina Island by applying the Smartline methodology. Erosion and flooding processes can endanger the installed human infrastructure in the coastal zone, with the degree of vulnerability of a given sit...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
da Silveira, Yasmim Garcia [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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| Anmerkung: |
© Springer Nature B.V. 2018 |
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| Übergeordnetes Werk: |
Enthalten in: Journal of coastal conservation - Dordrecht : Springer Netherlands, 1995, 23(2018), 2 vom: 13. Sept., Seite 303-314 |
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| Übergeordnetes Werk: |
volume:23 ; year:2018 ; number:2 ; day:13 ; month:09 ; pages:303-314 |
| Links: |
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| DOI / URN: |
10.1007/s11852-018-0659-0 |
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| Katalog-ID: |
SPR022804005 |
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| 520 | |a Abstract This study aims to characterize the physical vulnerability of the western coast of Santa Catarina Island by applying the Smartline methodology. Erosion and flooding processes can endanger the installed human infrastructure in the coastal zone, with the degree of vulnerability of a given site being dependent on its natural characteristics, or even due to changes induced by human action. The methodology applied in this research adopts a multiscale approach and considers, using coastline segmentation, the specificities of the analyzed coastal sectors. Each identified segment receives a classification regarding its physical vulnerability, resulting from the integration of several attributes, which must be selected according to the coastal hazard that one wishes to represent. In the analysis, three distinct levels of physical support and behavior of the coastal processes are considered. The first-order attributes are structural, and their characteristics are broad; the second-order ones are transitional between structural and dynamic and, the third-order attributes are dynamic, with specific characteristics. The methodology was applied on the west coast of Santa Catarina Island, a sector sheltered from oceanic waves, characterizing a low energy environment. Eight descriptors were selected for erosion and coastal flooding, these being: “geology” having two classes, distributed along 12 segments and “geomorphology”, three classes in eight segments, both of which were considered first-order variables. “Average astronomical tide current speed” (five classes in 15 segments), “average backshore height” (four classes in 20 segments), and “degree of exposure to wind waves” (five classes in 28 segments) compose the second order, while “backshore features” (seven classes in 28 segments), “grain size” (five classes in 26 segments) and “beach face slope” (three classes in 30 segments) describe third-order processes. By the integration of first-order attributes an Indicative Map of Vulnerability to Erosion and Flooding was generated, which classified the coast into “very Low”, “low”, “moderate”, and “high” vulnerability classes. As a final result of the analytical process the coastline, first-, second-, and third-order attributes were mathematically integrated by means of spatial analysis techniques, with the studied coastline represented as a segmented line according to the different classes of attributed physical vulnerability, highlighting the sectors with the most propensity to erosion and flooding. This Map of Physical Vulnerability to Erosion and Flood indicated that the west coast of Santa Catarina Island can be divided into sectors of low and moderate vulnerability in similar proportions, with occasional occurrences of high vulnerability in specific sectors. | ||
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10.1007/s11852-018-0659-0 doi (DE-627)SPR022804005 (SPR)s11852-018-0659-0-e DE-627 ger DE-627 rakwb eng da Silveira, Yasmim Garcia verfasserin (orcid)0000-0003-2656-3154 aut Assessment of the physical vulnerability to erosion and flooding in a sheltered coastal sector: Florianópolis Bay, Brazil 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Nature B.V. 2018 Abstract This study aims to characterize the physical vulnerability of the western coast of Santa Catarina Island by applying the Smartline methodology. Erosion and flooding processes can endanger the installed human infrastructure in the coastal zone, with the degree of vulnerability of a given site being dependent on its natural characteristics, or even due to changes induced by human action. The methodology applied in this research adopts a multiscale approach and considers, using coastline segmentation, the specificities of the analyzed coastal sectors. Each identified segment receives a classification regarding its physical vulnerability, resulting from the integration of several attributes, which must be selected according to the coastal hazard that one wishes to represent. In the analysis, three distinct levels of physical support and behavior of the coastal processes are considered. The first-order attributes are structural, and their characteristics are broad; the second-order ones are transitional between structural and dynamic and, the third-order attributes are dynamic, with specific characteristics. The methodology was applied on the west coast of Santa Catarina Island, a sector sheltered from oceanic waves, characterizing a low energy environment. Eight descriptors were selected for erosion and coastal flooding, these being: “geology” having two classes, distributed along 12 segments and “geomorphology”, three classes in eight segments, both of which were considered first-order variables. “Average astronomical tide current speed” (five classes in 15 segments), “average backshore height” (four classes in 20 segments), and “degree of exposure to wind waves” (five classes in 28 segments) compose the second order, while “backshore features” (seven classes in 28 segments), “grain size” (five classes in 26 segments) and “beach face slope” (three classes in 30 segments) describe third-order processes. By the integration of first-order attributes an Indicative Map of Vulnerability to Erosion and Flooding was generated, which classified the coast into “very Low”, “low”, “moderate”, and “high” vulnerability classes. As a final result of the analytical process the coastline, first-, second-, and third-order attributes were mathematically integrated by means of spatial analysis techniques, with the studied coastline represented as a segmented line according to the different classes of attributed physical vulnerability, highlighting the sectors with the most propensity to erosion and flooding. This Map of Physical Vulnerability to Erosion and Flood indicated that the west coast of Santa Catarina Island can be divided into sectors of low and moderate vulnerability in similar proportions, with occasional occurrences of high vulnerability in specific sectors. Coastal erosion (dpeaa)DE-He213 Coastal flooding (dpeaa)DE-He213 Coastline change (dpeaa)DE-He213 Spatial analysis (dpeaa)DE-He213 Bonetti, Jarbas aut Enthalten in Journal of coastal conservation Dordrecht : Springer Netherlands, 1995 23(2018), 2 vom: 13. Sept., Seite 303-314 (DE-627)332338533 (DE-600)2053395-0 1874-7841 nnns volume:23 year:2018 number:2 day:13 month:09 pages:303-314 https://dx.doi.org/10.1007/s11852-018-0659-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_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_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_165 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_374 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_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 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_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 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_2116 GBV_ILN_2118 GBV_ILN_2119 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_2939 GBV_ILN_2946 GBV_ILN_2949 GBV_ILN_2951 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 AR 23 2018 2 13 09 303-314 |
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10.1007/s11852-018-0659-0 doi (DE-627)SPR022804005 (SPR)s11852-018-0659-0-e DE-627 ger DE-627 rakwb eng da Silveira, Yasmim Garcia verfasserin (orcid)0000-0003-2656-3154 aut Assessment of the physical vulnerability to erosion and flooding in a sheltered coastal sector: Florianópolis Bay, Brazil 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Nature B.V. 2018 Abstract This study aims to characterize the physical vulnerability of the western coast of Santa Catarina Island by applying the Smartline methodology. Erosion and flooding processes can endanger the installed human infrastructure in the coastal zone, with the degree of vulnerability of a given site being dependent on its natural characteristics, or even due to changes induced by human action. The methodology applied in this research adopts a multiscale approach and considers, using coastline segmentation, the specificities of the analyzed coastal sectors. Each identified segment receives a classification regarding its physical vulnerability, resulting from the integration of several attributes, which must be selected according to the coastal hazard that one wishes to represent. In the analysis, three distinct levels of physical support and behavior of the coastal processes are considered. The first-order attributes are structural, and their characteristics are broad; the second-order ones are transitional between structural and dynamic and, the third-order attributes are dynamic, with specific characteristics. The methodology was applied on the west coast of Santa Catarina Island, a sector sheltered from oceanic waves, characterizing a low energy environment. Eight descriptors were selected for erosion and coastal flooding, these being: “geology” having two classes, distributed along 12 segments and “geomorphology”, three classes in eight segments, both of which were considered first-order variables. “Average astronomical tide current speed” (five classes in 15 segments), “average backshore height” (four classes in 20 segments), and “degree of exposure to wind waves” (five classes in 28 segments) compose the second order, while “backshore features” (seven classes in 28 segments), “grain size” (five classes in 26 segments) and “beach face slope” (three classes in 30 segments) describe third-order processes. By the integration of first-order attributes an Indicative Map of Vulnerability to Erosion and Flooding was generated, which classified the coast into “very Low”, “low”, “moderate”, and “high” vulnerability classes. As a final result of the analytical process the coastline, first-, second-, and third-order attributes were mathematically integrated by means of spatial analysis techniques, with the studied coastline represented as a segmented line according to the different classes of attributed physical vulnerability, highlighting the sectors with the most propensity to erosion and flooding. This Map of Physical Vulnerability to Erosion and Flood indicated that the west coast of Santa Catarina Island can be divided into sectors of low and moderate vulnerability in similar proportions, with occasional occurrences of high vulnerability in specific sectors. Coastal erosion (dpeaa)DE-He213 Coastal flooding (dpeaa)DE-He213 Coastline change (dpeaa)DE-He213 Spatial analysis (dpeaa)DE-He213 Bonetti, Jarbas aut Enthalten in Journal of coastal conservation Dordrecht : Springer Netherlands, 1995 23(2018), 2 vom: 13. Sept., Seite 303-314 (DE-627)332338533 (DE-600)2053395-0 1874-7841 nnns volume:23 year:2018 number:2 day:13 month:09 pages:303-314 https://dx.doi.org/10.1007/s11852-018-0659-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_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_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_165 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_374 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_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 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_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 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_2116 GBV_ILN_2118 GBV_ILN_2119 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_2939 GBV_ILN_2946 GBV_ILN_2949 GBV_ILN_2951 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 AR 23 2018 2 13 09 303-314 |
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10.1007/s11852-018-0659-0 doi (DE-627)SPR022804005 (SPR)s11852-018-0659-0-e DE-627 ger DE-627 rakwb eng da Silveira, Yasmim Garcia verfasserin (orcid)0000-0003-2656-3154 aut Assessment of the physical vulnerability to erosion and flooding in a sheltered coastal sector: Florianópolis Bay, Brazil 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Nature B.V. 2018 Abstract This study aims to characterize the physical vulnerability of the western coast of Santa Catarina Island by applying the Smartline methodology. Erosion and flooding processes can endanger the installed human infrastructure in the coastal zone, with the degree of vulnerability of a given site being dependent on its natural characteristics, or even due to changes induced by human action. The methodology applied in this research adopts a multiscale approach and considers, using coastline segmentation, the specificities of the analyzed coastal sectors. Each identified segment receives a classification regarding its physical vulnerability, resulting from the integration of several attributes, which must be selected according to the coastal hazard that one wishes to represent. In the analysis, three distinct levels of physical support and behavior of the coastal processes are considered. The first-order attributes are structural, and their characteristics are broad; the second-order ones are transitional between structural and dynamic and, the third-order attributes are dynamic, with specific characteristics. The methodology was applied on the west coast of Santa Catarina Island, a sector sheltered from oceanic waves, characterizing a low energy environment. Eight descriptors were selected for erosion and coastal flooding, these being: “geology” having two classes, distributed along 12 segments and “geomorphology”, three classes in eight segments, both of which were considered first-order variables. “Average astronomical tide current speed” (five classes in 15 segments), “average backshore height” (four classes in 20 segments), and “degree of exposure to wind waves” (five classes in 28 segments) compose the second order, while “backshore features” (seven classes in 28 segments), “grain size” (five classes in 26 segments) and “beach face slope” (three classes in 30 segments) describe third-order processes. By the integration of first-order attributes an Indicative Map of Vulnerability to Erosion and Flooding was generated, which classified the coast into “very Low”, “low”, “moderate”, and “high” vulnerability classes. As a final result of the analytical process the coastline, first-, second-, and third-order attributes were mathematically integrated by means of spatial analysis techniques, with the studied coastline represented as a segmented line according to the different classes of attributed physical vulnerability, highlighting the sectors with the most propensity to erosion and flooding. This Map of Physical Vulnerability to Erosion and Flood indicated that the west coast of Santa Catarina Island can be divided into sectors of low and moderate vulnerability in similar proportions, with occasional occurrences of high vulnerability in specific sectors. Coastal erosion (dpeaa)DE-He213 Coastal flooding (dpeaa)DE-He213 Coastline change (dpeaa)DE-He213 Spatial analysis (dpeaa)DE-He213 Bonetti, Jarbas aut Enthalten in Journal of coastal conservation Dordrecht : Springer Netherlands, 1995 23(2018), 2 vom: 13. Sept., Seite 303-314 (DE-627)332338533 (DE-600)2053395-0 1874-7841 nnns volume:23 year:2018 number:2 day:13 month:09 pages:303-314 https://dx.doi.org/10.1007/s11852-018-0659-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_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_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_165 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_374 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_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 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_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 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_2116 GBV_ILN_2118 GBV_ILN_2119 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_2939 GBV_ILN_2946 GBV_ILN_2949 GBV_ILN_2951 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 AR 23 2018 2 13 09 303-314 |
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10.1007/s11852-018-0659-0 doi (DE-627)SPR022804005 (SPR)s11852-018-0659-0-e DE-627 ger DE-627 rakwb eng da Silveira, Yasmim Garcia verfasserin (orcid)0000-0003-2656-3154 aut Assessment of the physical vulnerability to erosion and flooding in a sheltered coastal sector: Florianópolis Bay, Brazil 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Nature B.V. 2018 Abstract This study aims to characterize the physical vulnerability of the western coast of Santa Catarina Island by applying the Smartline methodology. Erosion and flooding processes can endanger the installed human infrastructure in the coastal zone, with the degree of vulnerability of a given site being dependent on its natural characteristics, or even due to changes induced by human action. The methodology applied in this research adopts a multiscale approach and considers, using coastline segmentation, the specificities of the analyzed coastal sectors. Each identified segment receives a classification regarding its physical vulnerability, resulting from the integration of several attributes, which must be selected according to the coastal hazard that one wishes to represent. In the analysis, three distinct levels of physical support and behavior of the coastal processes are considered. The first-order attributes are structural, and their characteristics are broad; the second-order ones are transitional between structural and dynamic and, the third-order attributes are dynamic, with specific characteristics. The methodology was applied on the west coast of Santa Catarina Island, a sector sheltered from oceanic waves, characterizing a low energy environment. Eight descriptors were selected for erosion and coastal flooding, these being: “geology” having two classes, distributed along 12 segments and “geomorphology”, three classes in eight segments, both of which were considered first-order variables. “Average astronomical tide current speed” (five classes in 15 segments), “average backshore height” (four classes in 20 segments), and “degree of exposure to wind waves” (five classes in 28 segments) compose the second order, while “backshore features” (seven classes in 28 segments), “grain size” (five classes in 26 segments) and “beach face slope” (three classes in 30 segments) describe third-order processes. By the integration of first-order attributes an Indicative Map of Vulnerability to Erosion and Flooding was generated, which classified the coast into “very Low”, “low”, “moderate”, and “high” vulnerability classes. As a final result of the analytical process the coastline, first-, second-, and third-order attributes were mathematically integrated by means of spatial analysis techniques, with the studied coastline represented as a segmented line according to the different classes of attributed physical vulnerability, highlighting the sectors with the most propensity to erosion and flooding. This Map of Physical Vulnerability to Erosion and Flood indicated that the west coast of Santa Catarina Island can be divided into sectors of low and moderate vulnerability in similar proportions, with occasional occurrences of high vulnerability in specific sectors. Coastal erosion (dpeaa)DE-He213 Coastal flooding (dpeaa)DE-He213 Coastline change (dpeaa)DE-He213 Spatial analysis (dpeaa)DE-He213 Bonetti, Jarbas aut Enthalten in Journal of coastal conservation Dordrecht : Springer Netherlands, 1995 23(2018), 2 vom: 13. Sept., Seite 303-314 (DE-627)332338533 (DE-600)2053395-0 1874-7841 nnns volume:23 year:2018 number:2 day:13 month:09 pages:303-314 https://dx.doi.org/10.1007/s11852-018-0659-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_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_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_165 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_374 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_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 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_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 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_2116 GBV_ILN_2118 GBV_ILN_2119 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_2939 GBV_ILN_2946 GBV_ILN_2949 GBV_ILN_2951 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 AR 23 2018 2 13 09 303-314 |
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10.1007/s11852-018-0659-0 doi (DE-627)SPR022804005 (SPR)s11852-018-0659-0-e DE-627 ger DE-627 rakwb eng da Silveira, Yasmim Garcia verfasserin (orcid)0000-0003-2656-3154 aut Assessment of the physical vulnerability to erosion and flooding in a sheltered coastal sector: Florianópolis Bay, Brazil 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer Nature B.V. 2018 Abstract This study aims to characterize the physical vulnerability of the western coast of Santa Catarina Island by applying the Smartline methodology. Erosion and flooding processes can endanger the installed human infrastructure in the coastal zone, with the degree of vulnerability of a given site being dependent on its natural characteristics, or even due to changes induced by human action. The methodology applied in this research adopts a multiscale approach and considers, using coastline segmentation, the specificities of the analyzed coastal sectors. Each identified segment receives a classification regarding its physical vulnerability, resulting from the integration of several attributes, which must be selected according to the coastal hazard that one wishes to represent. In the analysis, three distinct levels of physical support and behavior of the coastal processes are considered. The first-order attributes are structural, and their characteristics are broad; the second-order ones are transitional between structural and dynamic and, the third-order attributes are dynamic, with specific characteristics. The methodology was applied on the west coast of Santa Catarina Island, a sector sheltered from oceanic waves, characterizing a low energy environment. Eight descriptors were selected for erosion and coastal flooding, these being: “geology” having two classes, distributed along 12 segments and “geomorphology”, three classes in eight segments, both of which were considered first-order variables. “Average astronomical tide current speed” (five classes in 15 segments), “average backshore height” (four classes in 20 segments), and “degree of exposure to wind waves” (five classes in 28 segments) compose the second order, while “backshore features” (seven classes in 28 segments), “grain size” (five classes in 26 segments) and “beach face slope” (three classes in 30 segments) describe third-order processes. By the integration of first-order attributes an Indicative Map of Vulnerability to Erosion and Flooding was generated, which classified the coast into “very Low”, “low”, “moderate”, and “high” vulnerability classes. As a final result of the analytical process the coastline, first-, second-, and third-order attributes were mathematically integrated by means of spatial analysis techniques, with the studied coastline represented as a segmented line according to the different classes of attributed physical vulnerability, highlighting the sectors with the most propensity to erosion and flooding. This Map of Physical Vulnerability to Erosion and Flood indicated that the west coast of Santa Catarina Island can be divided into sectors of low and moderate vulnerability in similar proportions, with occasional occurrences of high vulnerability in specific sectors. Coastal erosion (dpeaa)DE-He213 Coastal flooding (dpeaa)DE-He213 Coastline change (dpeaa)DE-He213 Spatial analysis (dpeaa)DE-He213 Bonetti, Jarbas aut Enthalten in Journal of coastal conservation Dordrecht : Springer Netherlands, 1995 23(2018), 2 vom: 13. Sept., Seite 303-314 (DE-627)332338533 (DE-600)2053395-0 1874-7841 nnns volume:23 year:2018 number:2 day:13 month:09 pages:303-314 https://dx.doi.org/10.1007/s11852-018-0659-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_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_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_165 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_374 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_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 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_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 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_2116 GBV_ILN_2118 GBV_ILN_2119 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_2939 GBV_ILN_2946 GBV_ILN_2949 GBV_ILN_2951 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4393 GBV_ILN_4700 AR 23 2018 2 13 09 303-314 |
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Erosion and flooding processes can endanger the installed human infrastructure in the coastal zone, with the degree of vulnerability of a given site being dependent on its natural characteristics, or even due to changes induced by human action. The methodology applied in this research adopts a multiscale approach and considers, using coastline segmentation, the specificities of the analyzed coastal sectors. Each identified segment receives a classification regarding its physical vulnerability, resulting from the integration of several attributes, which must be selected according to the coastal hazard that one wishes to represent. In the analysis, three distinct levels of physical support and behavior of the coastal processes are considered. The first-order attributes are structural, and their characteristics are broad; the second-order ones are transitional between structural and dynamic and, the third-order attributes are dynamic, with specific characteristics. The methodology was applied on the west coast of Santa Catarina Island, a sector sheltered from oceanic waves, characterizing a low energy environment. Eight descriptors were selected for erosion and coastal flooding, these being: “geology” having two classes, distributed along 12 segments and “geomorphology”, three classes in eight segments, both of which were considered first-order variables. “Average astronomical tide current speed” (five classes in 15 segments), “average backshore height” (four classes in 20 segments), and “degree of exposure to wind waves” (five classes in 28 segments) compose the second order, while “backshore features” (seven classes in 28 segments), “grain size” (five classes in 26 segments) and “beach face slope” (three classes in 30 segments) describe third-order processes. By the integration of first-order attributes an Indicative Map of Vulnerability to Erosion and Flooding was generated, which classified the coast into “very Low”, “low”, “moderate”, and “high” vulnerability classes. As a final result of the analytical process the coastline, first-, second-, and third-order attributes were mathematically integrated by means of spatial analysis techniques, with the studied coastline represented as a segmented line according to the different classes of attributed physical vulnerability, highlighting the sectors with the most propensity to erosion and flooding. This Map of Physical Vulnerability to Erosion and Flood indicated that the west coast of Santa Catarina Island can be divided into sectors of low and moderate vulnerability in similar proportions, with occasional occurrences of high vulnerability in specific sectors.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Coastal erosion</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Coastal flooding</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Coastline change</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Spatial analysis</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Bonetti, Jarbas</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Journal of coastal conservation</subfield><subfield code="d">Dordrecht : Springer Netherlands, 1995</subfield><subfield code="g">23(2018), 2 vom: 13. 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|
| author |
da Silveira, Yasmim Garcia |
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da Silveira, Yasmim Garcia misc Coastal erosion misc Coastal flooding misc Coastline change misc Spatial analysis Assessment of the physical vulnerability to erosion and flooding in a sheltered coastal sector: Florianópolis Bay, Brazil |
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1874-7841 |
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Assessment of the physical vulnerability to erosion and flooding in a sheltered coastal sector: Florianópolis Bay, Brazil Coastal erosion (dpeaa)DE-He213 Coastal flooding (dpeaa)DE-He213 Coastline change (dpeaa)DE-He213 Spatial analysis (dpeaa)DE-He213 |
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misc Coastal erosion misc Coastal flooding misc Coastline change misc Spatial analysis |
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misc Coastal erosion misc Coastal flooding misc Coastline change misc Spatial analysis |
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misc Coastal erosion misc Coastal flooding misc Coastline change misc Spatial analysis |
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Assessment of the physical vulnerability to erosion and flooding in a sheltered coastal sector: Florianópolis Bay, Brazil |
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Assessment of the physical vulnerability to erosion and flooding in a sheltered coastal sector: Florianópolis Bay, Brazil |
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da Silveira, Yasmim Garcia |
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Journal of coastal conservation |
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Journal of coastal conservation |
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da Silveira, Yasmim Garcia Bonetti, Jarbas |
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Elektronische Aufsätze |
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da Silveira, Yasmim Garcia |
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10.1007/s11852-018-0659-0 |
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assessment of the physical vulnerability to erosion and flooding in a sheltered coastal sector: florianópolis bay, brazil |
| title_auth |
Assessment of the physical vulnerability to erosion and flooding in a sheltered coastal sector: Florianópolis Bay, Brazil |
| abstract |
Abstract This study aims to characterize the physical vulnerability of the western coast of Santa Catarina Island by applying the Smartline methodology. Erosion and flooding processes can endanger the installed human infrastructure in the coastal zone, with the degree of vulnerability of a given site being dependent on its natural characteristics, or even due to changes induced by human action. The methodology applied in this research adopts a multiscale approach and considers, using coastline segmentation, the specificities of the analyzed coastal sectors. Each identified segment receives a classification regarding its physical vulnerability, resulting from the integration of several attributes, which must be selected according to the coastal hazard that one wishes to represent. In the analysis, three distinct levels of physical support and behavior of the coastal processes are considered. The first-order attributes are structural, and their characteristics are broad; the second-order ones are transitional between structural and dynamic and, the third-order attributes are dynamic, with specific characteristics. The methodology was applied on the west coast of Santa Catarina Island, a sector sheltered from oceanic waves, characterizing a low energy environment. Eight descriptors were selected for erosion and coastal flooding, these being: “geology” having two classes, distributed along 12 segments and “geomorphology”, three classes in eight segments, both of which were considered first-order variables. “Average astronomical tide current speed” (five classes in 15 segments), “average backshore height” (four classes in 20 segments), and “degree of exposure to wind waves” (five classes in 28 segments) compose the second order, while “backshore features” (seven classes in 28 segments), “grain size” (five classes in 26 segments) and “beach face slope” (three classes in 30 segments) describe third-order processes. By the integration of first-order attributes an Indicative Map of Vulnerability to Erosion and Flooding was generated, which classified the coast into “very Low”, “low”, “moderate”, and “high” vulnerability classes. As a final result of the analytical process the coastline, first-, second-, and third-order attributes were mathematically integrated by means of spatial analysis techniques, with the studied coastline represented as a segmented line according to the different classes of attributed physical vulnerability, highlighting the sectors with the most propensity to erosion and flooding. This Map of Physical Vulnerability to Erosion and Flood indicated that the west coast of Santa Catarina Island can be divided into sectors of low and moderate vulnerability in similar proportions, with occasional occurrences of high vulnerability in specific sectors. © Springer Nature B.V. 2018 |
| abstractGer |
Abstract This study aims to characterize the physical vulnerability of the western coast of Santa Catarina Island by applying the Smartline methodology. Erosion and flooding processes can endanger the installed human infrastructure in the coastal zone, with the degree of vulnerability of a given site being dependent on its natural characteristics, or even due to changes induced by human action. The methodology applied in this research adopts a multiscale approach and considers, using coastline segmentation, the specificities of the analyzed coastal sectors. Each identified segment receives a classification regarding its physical vulnerability, resulting from the integration of several attributes, which must be selected according to the coastal hazard that one wishes to represent. In the analysis, three distinct levels of physical support and behavior of the coastal processes are considered. The first-order attributes are structural, and their characteristics are broad; the second-order ones are transitional between structural and dynamic and, the third-order attributes are dynamic, with specific characteristics. The methodology was applied on the west coast of Santa Catarina Island, a sector sheltered from oceanic waves, characterizing a low energy environment. Eight descriptors were selected for erosion and coastal flooding, these being: “geology” having two classes, distributed along 12 segments and “geomorphology”, three classes in eight segments, both of which were considered first-order variables. “Average astronomical tide current speed” (five classes in 15 segments), “average backshore height” (four classes in 20 segments), and “degree of exposure to wind waves” (five classes in 28 segments) compose the second order, while “backshore features” (seven classes in 28 segments), “grain size” (five classes in 26 segments) and “beach face slope” (three classes in 30 segments) describe third-order processes. By the integration of first-order attributes an Indicative Map of Vulnerability to Erosion and Flooding was generated, which classified the coast into “very Low”, “low”, “moderate”, and “high” vulnerability classes. As a final result of the analytical process the coastline, first-, second-, and third-order attributes were mathematically integrated by means of spatial analysis techniques, with the studied coastline represented as a segmented line according to the different classes of attributed physical vulnerability, highlighting the sectors with the most propensity to erosion and flooding. This Map of Physical Vulnerability to Erosion and Flood indicated that the west coast of Santa Catarina Island can be divided into sectors of low and moderate vulnerability in similar proportions, with occasional occurrences of high vulnerability in specific sectors. © Springer Nature B.V. 2018 |
| abstract_unstemmed |
Abstract This study aims to characterize the physical vulnerability of the western coast of Santa Catarina Island by applying the Smartline methodology. Erosion and flooding processes can endanger the installed human infrastructure in the coastal zone, with the degree of vulnerability of a given site being dependent on its natural characteristics, or even due to changes induced by human action. The methodology applied in this research adopts a multiscale approach and considers, using coastline segmentation, the specificities of the analyzed coastal sectors. Each identified segment receives a classification regarding its physical vulnerability, resulting from the integration of several attributes, which must be selected according to the coastal hazard that one wishes to represent. In the analysis, three distinct levels of physical support and behavior of the coastal processes are considered. The first-order attributes are structural, and their characteristics are broad; the second-order ones are transitional between structural and dynamic and, the third-order attributes are dynamic, with specific characteristics. The methodology was applied on the west coast of Santa Catarina Island, a sector sheltered from oceanic waves, characterizing a low energy environment. Eight descriptors were selected for erosion and coastal flooding, these being: “geology” having two classes, distributed along 12 segments and “geomorphology”, three classes in eight segments, both of which were considered first-order variables. “Average astronomical tide current speed” (five classes in 15 segments), “average backshore height” (four classes in 20 segments), and “degree of exposure to wind waves” (five classes in 28 segments) compose the second order, while “backshore features” (seven classes in 28 segments), “grain size” (five classes in 26 segments) and “beach face slope” (three classes in 30 segments) describe third-order processes. By the integration of first-order attributes an Indicative Map of Vulnerability to Erosion and Flooding was generated, which classified the coast into “very Low”, “low”, “moderate”, and “high” vulnerability classes. As a final result of the analytical process the coastline, first-, second-, and third-order attributes were mathematically integrated by means of spatial analysis techniques, with the studied coastline represented as a segmented line according to the different classes of attributed physical vulnerability, highlighting the sectors with the most propensity to erosion and flooding. This Map of Physical Vulnerability to Erosion and Flood indicated that the west coast of Santa Catarina Island can be divided into sectors of low and moderate vulnerability in similar proportions, with occasional occurrences of high vulnerability in specific sectors. © Springer Nature B.V. 2018 |
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Assessment of the physical vulnerability to erosion and flooding in a sheltered coastal sector: Florianópolis Bay, Brazil |
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| score |
7.4009285 |