Dynamical descriptors of physical vulnerability to sea-level rise in sheltered coastal systems: A methodological framework
Many studies about the susceptibility of coastal systems to flood hazard have been carried out using similar methodological approaches, based on the spatial integration of structural and dynamical variables. However, although the general framework fits well to most exposed coastal sectors, few examp...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
de Oliveira, Allan de Oliveira [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2021transfer abstract |
|---|
| Schlagwörter: |
Water level assessment in lagoons Mapping of coastline susceptibility |
|---|
| Übergeordnetes Werk: |
Enthalten in: Strain and stress analyses on thermally annealed Ti-Al-N/Mo-Si-B multilayer coatings by synchrotron X-ray diffraction - Aschauer, E. ELSEVIER, 2019, London |
|---|---|
| Übergeordnetes Werk: |
volume:249 ; year:2021 ; day:5 ; month:02 ; pages:0 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.ecss.2020.107118 |
|---|
| Katalog-ID: |
ELV052696790 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | ELV052696790 | ||
| 003 | DE-627 | ||
| 005 | 20230626033628.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 210910s2021 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1016/j.ecss.2020.107118 |2 doi | |
| 028 | 5 | 2 | |a /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001446.pica |
| 035 | |a (DE-627)ELV052696790 | ||
| 035 | |a (ELSEVIER)S0272-7714(20)30849-0 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | 4 | |a 620 |a 670 |q VZ |
| 084 | |a 52.78 |2 bkl | ||
| 084 | |a 51.20 |2 bkl | ||
| 100 | 1 | |a de Oliveira, Allan de Oliveira |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Dynamical descriptors of physical vulnerability to sea-level rise in sheltered coastal systems: A methodological framework |
| 264 | 1 | |c 2021transfer abstract | |
| 336 | |a nicht spezifiziert |b zzz |2 rdacontent | ||
| 337 | |a nicht spezifiziert |b z |2 rdamedia | ||
| 338 | |a nicht spezifiziert |b zu |2 rdacarrier | ||
| 520 | |a Many studies about the susceptibility of coastal systems to flood hazard have been carried out using similar methodological approaches, based on the spatial integration of structural and dynamical variables. However, although the general framework fits well to most exposed coastal sectors, few examples can be found in the literature regarding the proposal of dynamical descriptors (variables of process) particularly relevant to the analysis of the physical vulnerability of sheltered coastal systems, such as lagoons. The aim of this study was to propose a methodology to assess the physical vulnerability to sea-level rise due to climate change which was tested in the Conceição Lagoon, located in Santa Catarina (Brazil), based on dynamic descriptors obtained from numerical modeling. After implementing a numerical model calibrated to satisfactorily reproduce the hydrodynamic characteristics of the studied system, we simulated different sea-level rise scenarios proposed by the Intergovernmental Panel on Climate Change (IPCC), using optimistic and pessimistic scenarios for the years 2050 and 2100. Results were classified following the often-adopted scheme of very low to very high vulnerability. The maximum variations in the lagoon level calculated by the model showed the importance of winds and tides (both astronomical and meteorological) as the main triggering processes of level oscillation. The final physical vulnerability spatial distribution, obtained by the integration of maximum lagoon level variations associated with future projections, allowed the recognition of the sectors within the lagoon system which are more prone to suffering impacts. Most of the system was considered to have an intermediate vulnerability to sea-level rise. However, sectors with high vulnerability were also identified, mostly located at the northern and southern shores of the lagoon (due to wind influence), as well as along its inlet margins (due to ocean dynamics). The proposed framework based on the variations of the water level can be widely adopted as a descriptor that synthesizes the main dynamic processes responsible for the physical vulnerability of sheltered systems, fitting to lagoons and bays with different physiographic characteristics. The determination of the spatial distribution of areas with different degrees of susceptibility can be a valuable tool for coastal planning and management actions to be performed in sheltered systems, which has been overlooked comparing to... | ||
| 520 | |a Many studies about the susceptibility of coastal systems to flood hazard have been carried out using similar methodological approaches, based on the spatial integration of structural and dynamical variables. However, although the general framework fits well to most exposed coastal sectors, few examples can be found in the literature regarding the proposal of dynamical descriptors (variables of process) particularly relevant to the analysis of the physical vulnerability of sheltered coastal systems, such as lagoons. The aim of this study was to propose a methodology to assess the physical vulnerability to sea-level rise due to climate change which was tested in the Conceição Lagoon, located in Santa Catarina (Brazil), based on dynamic descriptors obtained from numerical modeling. After implementing a numerical model calibrated to satisfactorily reproduce the hydrodynamic characteristics of the studied system, we simulated different sea-level rise scenarios proposed by the Intergovernmental Panel on Climate Change (IPCC), using optimistic and pessimistic scenarios for the years 2050 and 2100. Results were classified following the often-adopted scheme of very low to very high vulnerability. The maximum variations in the lagoon level calculated by the model showed the importance of winds and tides (both astronomical and meteorological) as the main triggering processes of level oscillation. The final physical vulnerability spatial distribution, obtained by the integration of maximum lagoon level variations associated with future projections, allowed the recognition of the sectors within the lagoon system which are more prone to suffering impacts. Most of the system was considered to have an intermediate vulnerability to sea-level rise. However, sectors with high vulnerability were also identified, mostly located at the northern and southern shores of the lagoon (due to wind influence), as well as along its inlet margins (due to ocean dynamics). The proposed framework based on the variations of the water level can be widely adopted as a descriptor that synthesizes the main dynamic processes responsible for the physical vulnerability of sheltered systems, fitting to lagoons and bays with different physiographic characteristics. The determination of the spatial distribution of areas with different degrees of susceptibility can be a valuable tool for coastal planning and management actions to be performed in sheltered systems, which has been overlooked comparing to... | ||
| 650 | 7 | |a Water level assessment in lagoons |2 Elsevier | |
| 650 | 7 | |a Mapping of coastline susceptibility |2 Elsevier | |
| 650 | 7 | |a Climate change impacts on sheltered systems |2 Elsevier | |
| 650 | 7 | |a Coastal risk to flooding |2 Elsevier | |
| 650 | 7 | |a Numerical modeling of winds and tides |2 Elsevier | |
| 700 | 1 | |a Bonetti, Jarbas |4 oth | |
| 773 | 0 | 8 | |i Enthalten in |n Academic Press |a Aschauer, E. ELSEVIER |t Strain and stress analyses on thermally annealed Ti-Al-N/Mo-Si-B multilayer coatings by synchrotron X-ray diffraction |d 2019 |g London |w (DE-627)ELV001620800 |
| 773 | 1 | 8 | |g volume:249 |g year:2021 |g day:5 |g month:02 |g pages:0 |
| 856 | 4 | 0 | |u https://doi.org/10.1016/j.ecss.2020.107118 |3 Volltext |
| 912 | |a GBV_USEFLAG_U | ||
| 912 | |a GBV_ELV | ||
| 912 | |a SYSFLAG_U | ||
| 936 | b | k | |a 52.78 |j Oberflächentechnik |j Wärmebehandlung |q VZ |
| 936 | b | k | |a 51.20 |j Werkstoffoberflächeneigenschaften |q VZ |
| 951 | |a AR | ||
| 952 | |d 249 |j 2021 |b 5 |c 0205 |h 0 | ||
| author_variant |
o a d o d oado oadod |
|---|---|
| matchkey_str |
deoliveiraallandeoliveirabonettijarbas:2021----:yaiadsrposfhsclunrblttsaeersisetrdosass |
| hierarchy_sort_str |
2021transfer abstract |
| bklnumber |
52.78 51.20 |
| publishDate |
2021 |
| allfields |
10.1016/j.ecss.2020.107118 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001446.pica (DE-627)ELV052696790 (ELSEVIER)S0272-7714(20)30849-0 DE-627 ger DE-627 rakwb eng 620 670 VZ 52.78 bkl 51.20 bkl de Oliveira, Allan de Oliveira verfasserin aut Dynamical descriptors of physical vulnerability to sea-level rise in sheltered coastal systems: A methodological framework 2021transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Many studies about the susceptibility of coastal systems to flood hazard have been carried out using similar methodological approaches, based on the spatial integration of structural and dynamical variables. However, although the general framework fits well to most exposed coastal sectors, few examples can be found in the literature regarding the proposal of dynamical descriptors (variables of process) particularly relevant to the analysis of the physical vulnerability of sheltered coastal systems, such as lagoons. The aim of this study was to propose a methodology to assess the physical vulnerability to sea-level rise due to climate change which was tested in the Conceição Lagoon, located in Santa Catarina (Brazil), based on dynamic descriptors obtained from numerical modeling. After implementing a numerical model calibrated to satisfactorily reproduce the hydrodynamic characteristics of the studied system, we simulated different sea-level rise scenarios proposed by the Intergovernmental Panel on Climate Change (IPCC), using optimistic and pessimistic scenarios for the years 2050 and 2100. Results were classified following the often-adopted scheme of very low to very high vulnerability. The maximum variations in the lagoon level calculated by the model showed the importance of winds and tides (both astronomical and meteorological) as the main triggering processes of level oscillation. The final physical vulnerability spatial distribution, obtained by the integration of maximum lagoon level variations associated with future projections, allowed the recognition of the sectors within the lagoon system which are more prone to suffering impacts. Most of the system was considered to have an intermediate vulnerability to sea-level rise. However, sectors with high vulnerability were also identified, mostly located at the northern and southern shores of the lagoon (due to wind influence), as well as along its inlet margins (due to ocean dynamics). The proposed framework based on the variations of the water level can be widely adopted as a descriptor that synthesizes the main dynamic processes responsible for the physical vulnerability of sheltered systems, fitting to lagoons and bays with different physiographic characteristics. The determination of the spatial distribution of areas with different degrees of susceptibility can be a valuable tool for coastal planning and management actions to be performed in sheltered systems, which has been overlooked comparing to... Many studies about the susceptibility of coastal systems to flood hazard have been carried out using similar methodological approaches, based on the spatial integration of structural and dynamical variables. However, although the general framework fits well to most exposed coastal sectors, few examples can be found in the literature regarding the proposal of dynamical descriptors (variables of process) particularly relevant to the analysis of the physical vulnerability of sheltered coastal systems, such as lagoons. The aim of this study was to propose a methodology to assess the physical vulnerability to sea-level rise due to climate change which was tested in the Conceição Lagoon, located in Santa Catarina (Brazil), based on dynamic descriptors obtained from numerical modeling. After implementing a numerical model calibrated to satisfactorily reproduce the hydrodynamic characteristics of the studied system, we simulated different sea-level rise scenarios proposed by the Intergovernmental Panel on Climate Change (IPCC), using optimistic and pessimistic scenarios for the years 2050 and 2100. Results were classified following the often-adopted scheme of very low to very high vulnerability. The maximum variations in the lagoon level calculated by the model showed the importance of winds and tides (both astronomical and meteorological) as the main triggering processes of level oscillation. The final physical vulnerability spatial distribution, obtained by the integration of maximum lagoon level variations associated with future projections, allowed the recognition of the sectors within the lagoon system which are more prone to suffering impacts. Most of the system was considered to have an intermediate vulnerability to sea-level rise. However, sectors with high vulnerability were also identified, mostly located at the northern and southern shores of the lagoon (due to wind influence), as well as along its inlet margins (due to ocean dynamics). The proposed framework based on the variations of the water level can be widely adopted as a descriptor that synthesizes the main dynamic processes responsible for the physical vulnerability of sheltered systems, fitting to lagoons and bays with different physiographic characteristics. The determination of the spatial distribution of areas with different degrees of susceptibility can be a valuable tool for coastal planning and management actions to be performed in sheltered systems, which has been overlooked comparing to... Water level assessment in lagoons Elsevier Mapping of coastline susceptibility Elsevier Climate change impacts on sheltered systems Elsevier Coastal risk to flooding Elsevier Numerical modeling of winds and tides Elsevier Bonetti, Jarbas oth Enthalten in Academic Press Aschauer, E. ELSEVIER Strain and stress analyses on thermally annealed Ti-Al-N/Mo-Si-B multilayer coatings by synchrotron X-ray diffraction 2019 London (DE-627)ELV001620800 volume:249 year:2021 day:5 month:02 pages:0 https://doi.org/10.1016/j.ecss.2020.107118 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 52.78 Oberflächentechnik Wärmebehandlung VZ 51.20 Werkstoffoberflächeneigenschaften VZ AR 249 2021 5 0205 0 |
| spelling |
10.1016/j.ecss.2020.107118 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001446.pica (DE-627)ELV052696790 (ELSEVIER)S0272-7714(20)30849-0 DE-627 ger DE-627 rakwb eng 620 670 VZ 52.78 bkl 51.20 bkl de Oliveira, Allan de Oliveira verfasserin aut Dynamical descriptors of physical vulnerability to sea-level rise in sheltered coastal systems: A methodological framework 2021transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Many studies about the susceptibility of coastal systems to flood hazard have been carried out using similar methodological approaches, based on the spatial integration of structural and dynamical variables. However, although the general framework fits well to most exposed coastal sectors, few examples can be found in the literature regarding the proposal of dynamical descriptors (variables of process) particularly relevant to the analysis of the physical vulnerability of sheltered coastal systems, such as lagoons. The aim of this study was to propose a methodology to assess the physical vulnerability to sea-level rise due to climate change which was tested in the Conceição Lagoon, located in Santa Catarina (Brazil), based on dynamic descriptors obtained from numerical modeling. After implementing a numerical model calibrated to satisfactorily reproduce the hydrodynamic characteristics of the studied system, we simulated different sea-level rise scenarios proposed by the Intergovernmental Panel on Climate Change (IPCC), using optimistic and pessimistic scenarios for the years 2050 and 2100. Results were classified following the often-adopted scheme of very low to very high vulnerability. The maximum variations in the lagoon level calculated by the model showed the importance of winds and tides (both astronomical and meteorological) as the main triggering processes of level oscillation. The final physical vulnerability spatial distribution, obtained by the integration of maximum lagoon level variations associated with future projections, allowed the recognition of the sectors within the lagoon system which are more prone to suffering impacts. Most of the system was considered to have an intermediate vulnerability to sea-level rise. However, sectors with high vulnerability were also identified, mostly located at the northern and southern shores of the lagoon (due to wind influence), as well as along its inlet margins (due to ocean dynamics). The proposed framework based on the variations of the water level can be widely adopted as a descriptor that synthesizes the main dynamic processes responsible for the physical vulnerability of sheltered systems, fitting to lagoons and bays with different physiographic characteristics. The determination of the spatial distribution of areas with different degrees of susceptibility can be a valuable tool for coastal planning and management actions to be performed in sheltered systems, which has been overlooked comparing to... Many studies about the susceptibility of coastal systems to flood hazard have been carried out using similar methodological approaches, based on the spatial integration of structural and dynamical variables. However, although the general framework fits well to most exposed coastal sectors, few examples can be found in the literature regarding the proposal of dynamical descriptors (variables of process) particularly relevant to the analysis of the physical vulnerability of sheltered coastal systems, such as lagoons. The aim of this study was to propose a methodology to assess the physical vulnerability to sea-level rise due to climate change which was tested in the Conceição Lagoon, located in Santa Catarina (Brazil), based on dynamic descriptors obtained from numerical modeling. After implementing a numerical model calibrated to satisfactorily reproduce the hydrodynamic characteristics of the studied system, we simulated different sea-level rise scenarios proposed by the Intergovernmental Panel on Climate Change (IPCC), using optimistic and pessimistic scenarios for the years 2050 and 2100. Results were classified following the often-adopted scheme of very low to very high vulnerability. The maximum variations in the lagoon level calculated by the model showed the importance of winds and tides (both astronomical and meteorological) as the main triggering processes of level oscillation. The final physical vulnerability spatial distribution, obtained by the integration of maximum lagoon level variations associated with future projections, allowed the recognition of the sectors within the lagoon system which are more prone to suffering impacts. Most of the system was considered to have an intermediate vulnerability to sea-level rise. However, sectors with high vulnerability were also identified, mostly located at the northern and southern shores of the lagoon (due to wind influence), as well as along its inlet margins (due to ocean dynamics). The proposed framework based on the variations of the water level can be widely adopted as a descriptor that synthesizes the main dynamic processes responsible for the physical vulnerability of sheltered systems, fitting to lagoons and bays with different physiographic characteristics. The determination of the spatial distribution of areas with different degrees of susceptibility can be a valuable tool for coastal planning and management actions to be performed in sheltered systems, which has been overlooked comparing to... Water level assessment in lagoons Elsevier Mapping of coastline susceptibility Elsevier Climate change impacts on sheltered systems Elsevier Coastal risk to flooding Elsevier Numerical modeling of winds and tides Elsevier Bonetti, Jarbas oth Enthalten in Academic Press Aschauer, E. ELSEVIER Strain and stress analyses on thermally annealed Ti-Al-N/Mo-Si-B multilayer coatings by synchrotron X-ray diffraction 2019 London (DE-627)ELV001620800 volume:249 year:2021 day:5 month:02 pages:0 https://doi.org/10.1016/j.ecss.2020.107118 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 52.78 Oberflächentechnik Wärmebehandlung VZ 51.20 Werkstoffoberflächeneigenschaften VZ AR 249 2021 5 0205 0 |
| allfields_unstemmed |
10.1016/j.ecss.2020.107118 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001446.pica (DE-627)ELV052696790 (ELSEVIER)S0272-7714(20)30849-0 DE-627 ger DE-627 rakwb eng 620 670 VZ 52.78 bkl 51.20 bkl de Oliveira, Allan de Oliveira verfasserin aut Dynamical descriptors of physical vulnerability to sea-level rise in sheltered coastal systems: A methodological framework 2021transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Many studies about the susceptibility of coastal systems to flood hazard have been carried out using similar methodological approaches, based on the spatial integration of structural and dynamical variables. However, although the general framework fits well to most exposed coastal sectors, few examples can be found in the literature regarding the proposal of dynamical descriptors (variables of process) particularly relevant to the analysis of the physical vulnerability of sheltered coastal systems, such as lagoons. The aim of this study was to propose a methodology to assess the physical vulnerability to sea-level rise due to climate change which was tested in the Conceição Lagoon, located in Santa Catarina (Brazil), based on dynamic descriptors obtained from numerical modeling. After implementing a numerical model calibrated to satisfactorily reproduce the hydrodynamic characteristics of the studied system, we simulated different sea-level rise scenarios proposed by the Intergovernmental Panel on Climate Change (IPCC), using optimistic and pessimistic scenarios for the years 2050 and 2100. Results were classified following the often-adopted scheme of very low to very high vulnerability. The maximum variations in the lagoon level calculated by the model showed the importance of winds and tides (both astronomical and meteorological) as the main triggering processes of level oscillation. The final physical vulnerability spatial distribution, obtained by the integration of maximum lagoon level variations associated with future projections, allowed the recognition of the sectors within the lagoon system which are more prone to suffering impacts. Most of the system was considered to have an intermediate vulnerability to sea-level rise. However, sectors with high vulnerability were also identified, mostly located at the northern and southern shores of the lagoon (due to wind influence), as well as along its inlet margins (due to ocean dynamics). The proposed framework based on the variations of the water level can be widely adopted as a descriptor that synthesizes the main dynamic processes responsible for the physical vulnerability of sheltered systems, fitting to lagoons and bays with different physiographic characteristics. The determination of the spatial distribution of areas with different degrees of susceptibility can be a valuable tool for coastal planning and management actions to be performed in sheltered systems, which has been overlooked comparing to... Many studies about the susceptibility of coastal systems to flood hazard have been carried out using similar methodological approaches, based on the spatial integration of structural and dynamical variables. However, although the general framework fits well to most exposed coastal sectors, few examples can be found in the literature regarding the proposal of dynamical descriptors (variables of process) particularly relevant to the analysis of the physical vulnerability of sheltered coastal systems, such as lagoons. The aim of this study was to propose a methodology to assess the physical vulnerability to sea-level rise due to climate change which was tested in the Conceição Lagoon, located in Santa Catarina (Brazil), based on dynamic descriptors obtained from numerical modeling. After implementing a numerical model calibrated to satisfactorily reproduce the hydrodynamic characteristics of the studied system, we simulated different sea-level rise scenarios proposed by the Intergovernmental Panel on Climate Change (IPCC), using optimistic and pessimistic scenarios for the years 2050 and 2100. Results were classified following the often-adopted scheme of very low to very high vulnerability. The maximum variations in the lagoon level calculated by the model showed the importance of winds and tides (both astronomical and meteorological) as the main triggering processes of level oscillation. The final physical vulnerability spatial distribution, obtained by the integration of maximum lagoon level variations associated with future projections, allowed the recognition of the sectors within the lagoon system which are more prone to suffering impacts. Most of the system was considered to have an intermediate vulnerability to sea-level rise. However, sectors with high vulnerability were also identified, mostly located at the northern and southern shores of the lagoon (due to wind influence), as well as along its inlet margins (due to ocean dynamics). The proposed framework based on the variations of the water level can be widely adopted as a descriptor that synthesizes the main dynamic processes responsible for the physical vulnerability of sheltered systems, fitting to lagoons and bays with different physiographic characteristics. The determination of the spatial distribution of areas with different degrees of susceptibility can be a valuable tool for coastal planning and management actions to be performed in sheltered systems, which has been overlooked comparing to... Water level assessment in lagoons Elsevier Mapping of coastline susceptibility Elsevier Climate change impacts on sheltered systems Elsevier Coastal risk to flooding Elsevier Numerical modeling of winds and tides Elsevier Bonetti, Jarbas oth Enthalten in Academic Press Aschauer, E. ELSEVIER Strain and stress analyses on thermally annealed Ti-Al-N/Mo-Si-B multilayer coatings by synchrotron X-ray diffraction 2019 London (DE-627)ELV001620800 volume:249 year:2021 day:5 month:02 pages:0 https://doi.org/10.1016/j.ecss.2020.107118 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 52.78 Oberflächentechnik Wärmebehandlung VZ 51.20 Werkstoffoberflächeneigenschaften VZ AR 249 2021 5 0205 0 |
| allfieldsGer |
10.1016/j.ecss.2020.107118 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001446.pica (DE-627)ELV052696790 (ELSEVIER)S0272-7714(20)30849-0 DE-627 ger DE-627 rakwb eng 620 670 VZ 52.78 bkl 51.20 bkl de Oliveira, Allan de Oliveira verfasserin aut Dynamical descriptors of physical vulnerability to sea-level rise in sheltered coastal systems: A methodological framework 2021transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Many studies about the susceptibility of coastal systems to flood hazard have been carried out using similar methodological approaches, based on the spatial integration of structural and dynamical variables. However, although the general framework fits well to most exposed coastal sectors, few examples can be found in the literature regarding the proposal of dynamical descriptors (variables of process) particularly relevant to the analysis of the physical vulnerability of sheltered coastal systems, such as lagoons. The aim of this study was to propose a methodology to assess the physical vulnerability to sea-level rise due to climate change which was tested in the Conceição Lagoon, located in Santa Catarina (Brazil), based on dynamic descriptors obtained from numerical modeling. After implementing a numerical model calibrated to satisfactorily reproduce the hydrodynamic characteristics of the studied system, we simulated different sea-level rise scenarios proposed by the Intergovernmental Panel on Climate Change (IPCC), using optimistic and pessimistic scenarios for the years 2050 and 2100. Results were classified following the often-adopted scheme of very low to very high vulnerability. The maximum variations in the lagoon level calculated by the model showed the importance of winds and tides (both astronomical and meteorological) as the main triggering processes of level oscillation. The final physical vulnerability spatial distribution, obtained by the integration of maximum lagoon level variations associated with future projections, allowed the recognition of the sectors within the lagoon system which are more prone to suffering impacts. Most of the system was considered to have an intermediate vulnerability to sea-level rise. However, sectors with high vulnerability were also identified, mostly located at the northern and southern shores of the lagoon (due to wind influence), as well as along its inlet margins (due to ocean dynamics). The proposed framework based on the variations of the water level can be widely adopted as a descriptor that synthesizes the main dynamic processes responsible for the physical vulnerability of sheltered systems, fitting to lagoons and bays with different physiographic characteristics. The determination of the spatial distribution of areas with different degrees of susceptibility can be a valuable tool for coastal planning and management actions to be performed in sheltered systems, which has been overlooked comparing to... Many studies about the susceptibility of coastal systems to flood hazard have been carried out using similar methodological approaches, based on the spatial integration of structural and dynamical variables. However, although the general framework fits well to most exposed coastal sectors, few examples can be found in the literature regarding the proposal of dynamical descriptors (variables of process) particularly relevant to the analysis of the physical vulnerability of sheltered coastal systems, such as lagoons. The aim of this study was to propose a methodology to assess the physical vulnerability to sea-level rise due to climate change which was tested in the Conceição Lagoon, located in Santa Catarina (Brazil), based on dynamic descriptors obtained from numerical modeling. After implementing a numerical model calibrated to satisfactorily reproduce the hydrodynamic characteristics of the studied system, we simulated different sea-level rise scenarios proposed by the Intergovernmental Panel on Climate Change (IPCC), using optimistic and pessimistic scenarios for the years 2050 and 2100. Results were classified following the often-adopted scheme of very low to very high vulnerability. The maximum variations in the lagoon level calculated by the model showed the importance of winds and tides (both astronomical and meteorological) as the main triggering processes of level oscillation. The final physical vulnerability spatial distribution, obtained by the integration of maximum lagoon level variations associated with future projections, allowed the recognition of the sectors within the lagoon system which are more prone to suffering impacts. Most of the system was considered to have an intermediate vulnerability to sea-level rise. However, sectors with high vulnerability were also identified, mostly located at the northern and southern shores of the lagoon (due to wind influence), as well as along its inlet margins (due to ocean dynamics). The proposed framework based on the variations of the water level can be widely adopted as a descriptor that synthesizes the main dynamic processes responsible for the physical vulnerability of sheltered systems, fitting to lagoons and bays with different physiographic characteristics. The determination of the spatial distribution of areas with different degrees of susceptibility can be a valuable tool for coastal planning and management actions to be performed in sheltered systems, which has been overlooked comparing to... Water level assessment in lagoons Elsevier Mapping of coastline susceptibility Elsevier Climate change impacts on sheltered systems Elsevier Coastal risk to flooding Elsevier Numerical modeling of winds and tides Elsevier Bonetti, Jarbas oth Enthalten in Academic Press Aschauer, E. ELSEVIER Strain and stress analyses on thermally annealed Ti-Al-N/Mo-Si-B multilayer coatings by synchrotron X-ray diffraction 2019 London (DE-627)ELV001620800 volume:249 year:2021 day:5 month:02 pages:0 https://doi.org/10.1016/j.ecss.2020.107118 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 52.78 Oberflächentechnik Wärmebehandlung VZ 51.20 Werkstoffoberflächeneigenschaften VZ AR 249 2021 5 0205 0 |
| allfieldsSound |
10.1016/j.ecss.2020.107118 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001446.pica (DE-627)ELV052696790 (ELSEVIER)S0272-7714(20)30849-0 DE-627 ger DE-627 rakwb eng 620 670 VZ 52.78 bkl 51.20 bkl de Oliveira, Allan de Oliveira verfasserin aut Dynamical descriptors of physical vulnerability to sea-level rise in sheltered coastal systems: A methodological framework 2021transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Many studies about the susceptibility of coastal systems to flood hazard have been carried out using similar methodological approaches, based on the spatial integration of structural and dynamical variables. However, although the general framework fits well to most exposed coastal sectors, few examples can be found in the literature regarding the proposal of dynamical descriptors (variables of process) particularly relevant to the analysis of the physical vulnerability of sheltered coastal systems, such as lagoons. The aim of this study was to propose a methodology to assess the physical vulnerability to sea-level rise due to climate change which was tested in the Conceição Lagoon, located in Santa Catarina (Brazil), based on dynamic descriptors obtained from numerical modeling. After implementing a numerical model calibrated to satisfactorily reproduce the hydrodynamic characteristics of the studied system, we simulated different sea-level rise scenarios proposed by the Intergovernmental Panel on Climate Change (IPCC), using optimistic and pessimistic scenarios for the years 2050 and 2100. Results were classified following the often-adopted scheme of very low to very high vulnerability. The maximum variations in the lagoon level calculated by the model showed the importance of winds and tides (both astronomical and meteorological) as the main triggering processes of level oscillation. The final physical vulnerability spatial distribution, obtained by the integration of maximum lagoon level variations associated with future projections, allowed the recognition of the sectors within the lagoon system which are more prone to suffering impacts. Most of the system was considered to have an intermediate vulnerability to sea-level rise. However, sectors with high vulnerability were also identified, mostly located at the northern and southern shores of the lagoon (due to wind influence), as well as along its inlet margins (due to ocean dynamics). The proposed framework based on the variations of the water level can be widely adopted as a descriptor that synthesizes the main dynamic processes responsible for the physical vulnerability of sheltered systems, fitting to lagoons and bays with different physiographic characteristics. The determination of the spatial distribution of areas with different degrees of susceptibility can be a valuable tool for coastal planning and management actions to be performed in sheltered systems, which has been overlooked comparing to... Many studies about the susceptibility of coastal systems to flood hazard have been carried out using similar methodological approaches, based on the spatial integration of structural and dynamical variables. However, although the general framework fits well to most exposed coastal sectors, few examples can be found in the literature regarding the proposal of dynamical descriptors (variables of process) particularly relevant to the analysis of the physical vulnerability of sheltered coastal systems, such as lagoons. The aim of this study was to propose a methodology to assess the physical vulnerability to sea-level rise due to climate change which was tested in the Conceição Lagoon, located in Santa Catarina (Brazil), based on dynamic descriptors obtained from numerical modeling. After implementing a numerical model calibrated to satisfactorily reproduce the hydrodynamic characteristics of the studied system, we simulated different sea-level rise scenarios proposed by the Intergovernmental Panel on Climate Change (IPCC), using optimistic and pessimistic scenarios for the years 2050 and 2100. Results were classified following the often-adopted scheme of very low to very high vulnerability. The maximum variations in the lagoon level calculated by the model showed the importance of winds and tides (both astronomical and meteorological) as the main triggering processes of level oscillation. The final physical vulnerability spatial distribution, obtained by the integration of maximum lagoon level variations associated with future projections, allowed the recognition of the sectors within the lagoon system which are more prone to suffering impacts. Most of the system was considered to have an intermediate vulnerability to sea-level rise. However, sectors with high vulnerability were also identified, mostly located at the northern and southern shores of the lagoon (due to wind influence), as well as along its inlet margins (due to ocean dynamics). The proposed framework based on the variations of the water level can be widely adopted as a descriptor that synthesizes the main dynamic processes responsible for the physical vulnerability of sheltered systems, fitting to lagoons and bays with different physiographic characteristics. The determination of the spatial distribution of areas with different degrees of susceptibility can be a valuable tool for coastal planning and management actions to be performed in sheltered systems, which has been overlooked comparing to... Water level assessment in lagoons Elsevier Mapping of coastline susceptibility Elsevier Climate change impacts on sheltered systems Elsevier Coastal risk to flooding Elsevier Numerical modeling of winds and tides Elsevier Bonetti, Jarbas oth Enthalten in Academic Press Aschauer, E. ELSEVIER Strain and stress analyses on thermally annealed Ti-Al-N/Mo-Si-B multilayer coatings by synchrotron X-ray diffraction 2019 London (DE-627)ELV001620800 volume:249 year:2021 day:5 month:02 pages:0 https://doi.org/10.1016/j.ecss.2020.107118 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U 52.78 Oberflächentechnik Wärmebehandlung VZ 51.20 Werkstoffoberflächeneigenschaften VZ AR 249 2021 5 0205 0 |
| language |
English |
| source |
Enthalten in Strain and stress analyses on thermally annealed Ti-Al-N/Mo-Si-B multilayer coatings by synchrotron X-ray diffraction London volume:249 year:2021 day:5 month:02 pages:0 |
| sourceStr |
Enthalten in Strain and stress analyses on thermally annealed Ti-Al-N/Mo-Si-B multilayer coatings by synchrotron X-ray diffraction London volume:249 year:2021 day:5 month:02 pages:0 |
| format_phy_str_mv |
Article |
| bklname |
Oberflächentechnik Wärmebehandlung Werkstoffoberflächeneigenschaften |
| institution |
findex.gbv.de |
| topic_facet |
Water level assessment in lagoons Mapping of coastline susceptibility Climate change impacts on sheltered systems Coastal risk to flooding Numerical modeling of winds and tides |
| dewey-raw |
620 |
| isfreeaccess_bool |
false |
| container_title |
Strain and stress analyses on thermally annealed Ti-Al-N/Mo-Si-B multilayer coatings by synchrotron X-ray diffraction |
| authorswithroles_txt_mv |
de Oliveira, Allan de Oliveira @@aut@@ Bonetti, Jarbas @@oth@@ |
| publishDateDaySort_date |
2021-01-05T00:00:00Z |
| hierarchy_top_id |
ELV001620800 |
| dewey-sort |
3620 |
| id |
ELV052696790 |
| language_de |
englisch |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV052696790</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230626033628.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">210910s2021 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.ecss.2020.107118</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">/cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001446.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV052696790</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0272-7714(20)30849-0</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">620</subfield><subfield code="a">670</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">52.78</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">51.20</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">de Oliveira, Allan de Oliveira</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Dynamical descriptors of physical vulnerability to sea-level rise in sheltered coastal systems: A methodological framework</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2021transfer abstract</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Many studies about the susceptibility of coastal systems to flood hazard have been carried out using similar methodological approaches, based on the spatial integration of structural and dynamical variables. However, although the general framework fits well to most exposed coastal sectors, few examples can be found in the literature regarding the proposal of dynamical descriptors (variables of process) particularly relevant to the analysis of the physical vulnerability of sheltered coastal systems, such as lagoons. The aim of this study was to propose a methodology to assess the physical vulnerability to sea-level rise due to climate change which was tested in the Conceição Lagoon, located in Santa Catarina (Brazil), based on dynamic descriptors obtained from numerical modeling. After implementing a numerical model calibrated to satisfactorily reproduce the hydrodynamic characteristics of the studied system, we simulated different sea-level rise scenarios proposed by the Intergovernmental Panel on Climate Change (IPCC), using optimistic and pessimistic scenarios for the years 2050 and 2100. Results were classified following the often-adopted scheme of very low to very high vulnerability. The maximum variations in the lagoon level calculated by the model showed the importance of winds and tides (both astronomical and meteorological) as the main triggering processes of level oscillation. The final physical vulnerability spatial distribution, obtained by the integration of maximum lagoon level variations associated with future projections, allowed the recognition of the sectors within the lagoon system which are more prone to suffering impacts. Most of the system was considered to have an intermediate vulnerability to sea-level rise. However, sectors with high vulnerability were also identified, mostly located at the northern and southern shores of the lagoon (due to wind influence), as well as along its inlet margins (due to ocean dynamics). The proposed framework based on the variations of the water level can be widely adopted as a descriptor that synthesizes the main dynamic processes responsible for the physical vulnerability of sheltered systems, fitting to lagoons and bays with different physiographic characteristics. The determination of the spatial distribution of areas with different degrees of susceptibility can be a valuable tool for coastal planning and management actions to be performed in sheltered systems, which has been overlooked comparing to...</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Many studies about the susceptibility of coastal systems to flood hazard have been carried out using similar methodological approaches, based on the spatial integration of structural and dynamical variables. However, although the general framework fits well to most exposed coastal sectors, few examples can be found in the literature regarding the proposal of dynamical descriptors (variables of process) particularly relevant to the analysis of the physical vulnerability of sheltered coastal systems, such as lagoons. The aim of this study was to propose a methodology to assess the physical vulnerability to sea-level rise due to climate change which was tested in the Conceição Lagoon, located in Santa Catarina (Brazil), based on dynamic descriptors obtained from numerical modeling. After implementing a numerical model calibrated to satisfactorily reproduce the hydrodynamic characteristics of the studied system, we simulated different sea-level rise scenarios proposed by the Intergovernmental Panel on Climate Change (IPCC), using optimistic and pessimistic scenarios for the years 2050 and 2100. Results were classified following the often-adopted scheme of very low to very high vulnerability. The maximum variations in the lagoon level calculated by the model showed the importance of winds and tides (both astronomical and meteorological) as the main triggering processes of level oscillation. The final physical vulnerability spatial distribution, obtained by the integration of maximum lagoon level variations associated with future projections, allowed the recognition of the sectors within the lagoon system which are more prone to suffering impacts. Most of the system was considered to have an intermediate vulnerability to sea-level rise. However, sectors with high vulnerability were also identified, mostly located at the northern and southern shores of the lagoon (due to wind influence), as well as along its inlet margins (due to ocean dynamics). The proposed framework based on the variations of the water level can be widely adopted as a descriptor that synthesizes the main dynamic processes responsible for the physical vulnerability of sheltered systems, fitting to lagoons and bays with different physiographic characteristics. The determination of the spatial distribution of areas with different degrees of susceptibility can be a valuable tool for coastal planning and management actions to be performed in sheltered systems, which has been overlooked comparing to...</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Water level assessment in lagoons</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Mapping of coastline susceptibility</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Climate change impacts on sheltered systems</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Coastal risk to flooding</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Numerical modeling of winds and tides</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Bonetti, Jarbas</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Academic Press</subfield><subfield code="a">Aschauer, E. ELSEVIER</subfield><subfield code="t">Strain and stress analyses on thermally annealed Ti-Al-N/Mo-Si-B multilayer coatings by synchrotron X-ray diffraction</subfield><subfield code="d">2019</subfield><subfield code="g">London</subfield><subfield code="w">(DE-627)ELV001620800</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:249</subfield><subfield code="g">year:2021</subfield><subfield code="g">day:5</subfield><subfield code="g">month:02</subfield><subfield code="g">pages:0</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.ecss.2020.107118</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">52.78</subfield><subfield code="j">Oberflächentechnik</subfield><subfield code="j">Wärmebehandlung</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">51.20</subfield><subfield code="j">Werkstoffoberflächeneigenschaften</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">249</subfield><subfield code="j">2021</subfield><subfield code="b">5</subfield><subfield code="c">0205</subfield><subfield code="h">0</subfield></datafield></record></collection>
|
| author |
de Oliveira, Allan de Oliveira |
| spellingShingle |
de Oliveira, Allan de Oliveira ddc 620 bkl 52.78 bkl 51.20 Elsevier Water level assessment in lagoons Elsevier Mapping of coastline susceptibility Elsevier Climate change impacts on sheltered systems Elsevier Coastal risk to flooding Elsevier Numerical modeling of winds and tides Dynamical descriptors of physical vulnerability to sea-level rise in sheltered coastal systems: A methodological framework |
| authorStr |
de Oliveira, Allan de Oliveira |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)ELV001620800 |
| format |
electronic Article |
| dewey-ones |
620 - Engineering & allied operations 670 - Manufacturing |
| delete_txt_mv |
keep |
| author_role |
aut |
| collection |
elsevier |
| remote_str |
true |
| illustrated |
Not Illustrated |
| topic_title |
620 670 VZ 52.78 bkl 51.20 bkl Dynamical descriptors of physical vulnerability to sea-level rise in sheltered coastal systems: A methodological framework Water level assessment in lagoons Elsevier Mapping of coastline susceptibility Elsevier Climate change impacts on sheltered systems Elsevier Coastal risk to flooding Elsevier Numerical modeling of winds and tides Elsevier |
| topic |
ddc 620 bkl 52.78 bkl 51.20 Elsevier Water level assessment in lagoons Elsevier Mapping of coastline susceptibility Elsevier Climate change impacts on sheltered systems Elsevier Coastal risk to flooding Elsevier Numerical modeling of winds and tides |
| topic_unstemmed |
ddc 620 bkl 52.78 bkl 51.20 Elsevier Water level assessment in lagoons Elsevier Mapping of coastline susceptibility Elsevier Climate change impacts on sheltered systems Elsevier Coastal risk to flooding Elsevier Numerical modeling of winds and tides |
| topic_browse |
ddc 620 bkl 52.78 bkl 51.20 Elsevier Water level assessment in lagoons Elsevier Mapping of coastline susceptibility Elsevier Climate change impacts on sheltered systems Elsevier Coastal risk to flooding Elsevier Numerical modeling of winds and tides |
| format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
zu |
| author2_variant |
j b jb |
| hierarchy_parent_title |
Strain and stress analyses on thermally annealed Ti-Al-N/Mo-Si-B multilayer coatings by synchrotron X-ray diffraction |
| hierarchy_parent_id |
ELV001620800 |
| dewey-tens |
620 - Engineering 670 - Manufacturing |
| hierarchy_top_title |
Strain and stress analyses on thermally annealed Ti-Al-N/Mo-Si-B multilayer coatings by synchrotron X-ray diffraction |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)ELV001620800 |
| title |
Dynamical descriptors of physical vulnerability to sea-level rise in sheltered coastal systems: A methodological framework |
| ctrlnum |
(DE-627)ELV052696790 (ELSEVIER)S0272-7714(20)30849-0 |
| title_full |
Dynamical descriptors of physical vulnerability to sea-level rise in sheltered coastal systems: A methodological framework |
| author_sort |
de Oliveira, Allan de Oliveira |
| journal |
Strain and stress analyses on thermally annealed Ti-Al-N/Mo-Si-B multilayer coatings by synchrotron X-ray diffraction |
| journalStr |
Strain and stress analyses on thermally annealed Ti-Al-N/Mo-Si-B multilayer coatings by synchrotron X-ray diffraction |
| lang_code |
eng |
| isOA_bool |
false |
| dewey-hundreds |
600 - Technology |
| recordtype |
marc |
| publishDateSort |
2021 |
| contenttype_str_mv |
zzz |
| container_start_page |
0 |
| author_browse |
de Oliveira, Allan de Oliveira |
| container_volume |
249 |
| class |
620 670 VZ 52.78 bkl 51.20 bkl |
| format_se |
Elektronische Aufsätze |
| author-letter |
de Oliveira, Allan de Oliveira |
| doi_str_mv |
10.1016/j.ecss.2020.107118 |
| dewey-full |
620 670 |
| title_sort |
dynamical descriptors of physical vulnerability to sea-level rise in sheltered coastal systems: a methodological framework |
| title_auth |
Dynamical descriptors of physical vulnerability to sea-level rise in sheltered coastal systems: A methodological framework |
| abstract |
Many studies about the susceptibility of coastal systems to flood hazard have been carried out using similar methodological approaches, based on the spatial integration of structural and dynamical variables. However, although the general framework fits well to most exposed coastal sectors, few examples can be found in the literature regarding the proposal of dynamical descriptors (variables of process) particularly relevant to the analysis of the physical vulnerability of sheltered coastal systems, such as lagoons. The aim of this study was to propose a methodology to assess the physical vulnerability to sea-level rise due to climate change which was tested in the Conceição Lagoon, located in Santa Catarina (Brazil), based on dynamic descriptors obtained from numerical modeling. After implementing a numerical model calibrated to satisfactorily reproduce the hydrodynamic characteristics of the studied system, we simulated different sea-level rise scenarios proposed by the Intergovernmental Panel on Climate Change (IPCC), using optimistic and pessimistic scenarios for the years 2050 and 2100. Results were classified following the often-adopted scheme of very low to very high vulnerability. The maximum variations in the lagoon level calculated by the model showed the importance of winds and tides (both astronomical and meteorological) as the main triggering processes of level oscillation. The final physical vulnerability spatial distribution, obtained by the integration of maximum lagoon level variations associated with future projections, allowed the recognition of the sectors within the lagoon system which are more prone to suffering impacts. Most of the system was considered to have an intermediate vulnerability to sea-level rise. However, sectors with high vulnerability were also identified, mostly located at the northern and southern shores of the lagoon (due to wind influence), as well as along its inlet margins (due to ocean dynamics). The proposed framework based on the variations of the water level can be widely adopted as a descriptor that synthesizes the main dynamic processes responsible for the physical vulnerability of sheltered systems, fitting to lagoons and bays with different physiographic characteristics. The determination of the spatial distribution of areas with different degrees of susceptibility can be a valuable tool for coastal planning and management actions to be performed in sheltered systems, which has been overlooked comparing to... |
| abstractGer |
Many studies about the susceptibility of coastal systems to flood hazard have been carried out using similar methodological approaches, based on the spatial integration of structural and dynamical variables. However, although the general framework fits well to most exposed coastal sectors, few examples can be found in the literature regarding the proposal of dynamical descriptors (variables of process) particularly relevant to the analysis of the physical vulnerability of sheltered coastal systems, such as lagoons. The aim of this study was to propose a methodology to assess the physical vulnerability to sea-level rise due to climate change which was tested in the Conceição Lagoon, located in Santa Catarina (Brazil), based on dynamic descriptors obtained from numerical modeling. After implementing a numerical model calibrated to satisfactorily reproduce the hydrodynamic characteristics of the studied system, we simulated different sea-level rise scenarios proposed by the Intergovernmental Panel on Climate Change (IPCC), using optimistic and pessimistic scenarios for the years 2050 and 2100. Results were classified following the often-adopted scheme of very low to very high vulnerability. The maximum variations in the lagoon level calculated by the model showed the importance of winds and tides (both astronomical and meteorological) as the main triggering processes of level oscillation. The final physical vulnerability spatial distribution, obtained by the integration of maximum lagoon level variations associated with future projections, allowed the recognition of the sectors within the lagoon system which are more prone to suffering impacts. Most of the system was considered to have an intermediate vulnerability to sea-level rise. However, sectors with high vulnerability were also identified, mostly located at the northern and southern shores of the lagoon (due to wind influence), as well as along its inlet margins (due to ocean dynamics). The proposed framework based on the variations of the water level can be widely adopted as a descriptor that synthesizes the main dynamic processes responsible for the physical vulnerability of sheltered systems, fitting to lagoons and bays with different physiographic characteristics. The determination of the spatial distribution of areas with different degrees of susceptibility can be a valuable tool for coastal planning and management actions to be performed in sheltered systems, which has been overlooked comparing to... |
| abstract_unstemmed |
Many studies about the susceptibility of coastal systems to flood hazard have been carried out using similar methodological approaches, based on the spatial integration of structural and dynamical variables. However, although the general framework fits well to most exposed coastal sectors, few examples can be found in the literature regarding the proposal of dynamical descriptors (variables of process) particularly relevant to the analysis of the physical vulnerability of sheltered coastal systems, such as lagoons. The aim of this study was to propose a methodology to assess the physical vulnerability to sea-level rise due to climate change which was tested in the Conceição Lagoon, located in Santa Catarina (Brazil), based on dynamic descriptors obtained from numerical modeling. After implementing a numerical model calibrated to satisfactorily reproduce the hydrodynamic characteristics of the studied system, we simulated different sea-level rise scenarios proposed by the Intergovernmental Panel on Climate Change (IPCC), using optimistic and pessimistic scenarios for the years 2050 and 2100. Results were classified following the often-adopted scheme of very low to very high vulnerability. The maximum variations in the lagoon level calculated by the model showed the importance of winds and tides (both astronomical and meteorological) as the main triggering processes of level oscillation. The final physical vulnerability spatial distribution, obtained by the integration of maximum lagoon level variations associated with future projections, allowed the recognition of the sectors within the lagoon system which are more prone to suffering impacts. Most of the system was considered to have an intermediate vulnerability to sea-level rise. However, sectors with high vulnerability were also identified, mostly located at the northern and southern shores of the lagoon (due to wind influence), as well as along its inlet margins (due to ocean dynamics). The proposed framework based on the variations of the water level can be widely adopted as a descriptor that synthesizes the main dynamic processes responsible for the physical vulnerability of sheltered systems, fitting to lagoons and bays with different physiographic characteristics. The determination of the spatial distribution of areas with different degrees of susceptibility can be a valuable tool for coastal planning and management actions to be performed in sheltered systems, which has been overlooked comparing to... |
| collection_details |
GBV_USEFLAG_U GBV_ELV SYSFLAG_U |
| title_short |
Dynamical descriptors of physical vulnerability to sea-level rise in sheltered coastal systems: A methodological framework |
| url |
https://doi.org/10.1016/j.ecss.2020.107118 |
| remote_bool |
true |
| author2 |
Bonetti, Jarbas |
| author2Str |
Bonetti, Jarbas |
| ppnlink |
ELV001620800 |
| mediatype_str_mv |
z |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| author2_role |
oth |
| doi_str |
10.1016/j.ecss.2020.107118 |
| up_date |
2024-07-06T16:53:17.669Z |
| _version_ |
1803849352004763648 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV052696790</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230626033628.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">210910s2021 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.ecss.2020.107118</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">/cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001446.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV052696790</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0272-7714(20)30849-0</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">620</subfield><subfield code="a">670</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">52.78</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">51.20</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">de Oliveira, Allan de Oliveira</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Dynamical descriptors of physical vulnerability to sea-level rise in sheltered coastal systems: A methodological framework</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2021transfer abstract</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Many studies about the susceptibility of coastal systems to flood hazard have been carried out using similar methodological approaches, based on the spatial integration of structural and dynamical variables. However, although the general framework fits well to most exposed coastal sectors, few examples can be found in the literature regarding the proposal of dynamical descriptors (variables of process) particularly relevant to the analysis of the physical vulnerability of sheltered coastal systems, such as lagoons. The aim of this study was to propose a methodology to assess the physical vulnerability to sea-level rise due to climate change which was tested in the Conceição Lagoon, located in Santa Catarina (Brazil), based on dynamic descriptors obtained from numerical modeling. After implementing a numerical model calibrated to satisfactorily reproduce the hydrodynamic characteristics of the studied system, we simulated different sea-level rise scenarios proposed by the Intergovernmental Panel on Climate Change (IPCC), using optimistic and pessimistic scenarios for the years 2050 and 2100. Results were classified following the often-adopted scheme of very low to very high vulnerability. The maximum variations in the lagoon level calculated by the model showed the importance of winds and tides (both astronomical and meteorological) as the main triggering processes of level oscillation. The final physical vulnerability spatial distribution, obtained by the integration of maximum lagoon level variations associated with future projections, allowed the recognition of the sectors within the lagoon system which are more prone to suffering impacts. Most of the system was considered to have an intermediate vulnerability to sea-level rise. However, sectors with high vulnerability were also identified, mostly located at the northern and southern shores of the lagoon (due to wind influence), as well as along its inlet margins (due to ocean dynamics). The proposed framework based on the variations of the water level can be widely adopted as a descriptor that synthesizes the main dynamic processes responsible for the physical vulnerability of sheltered systems, fitting to lagoons and bays with different physiographic characteristics. The determination of the spatial distribution of areas with different degrees of susceptibility can be a valuable tool for coastal planning and management actions to be performed in sheltered systems, which has been overlooked comparing to...</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Many studies about the susceptibility of coastal systems to flood hazard have been carried out using similar methodological approaches, based on the spatial integration of structural and dynamical variables. However, although the general framework fits well to most exposed coastal sectors, few examples can be found in the literature regarding the proposal of dynamical descriptors (variables of process) particularly relevant to the analysis of the physical vulnerability of sheltered coastal systems, such as lagoons. The aim of this study was to propose a methodology to assess the physical vulnerability to sea-level rise due to climate change which was tested in the Conceição Lagoon, located in Santa Catarina (Brazil), based on dynamic descriptors obtained from numerical modeling. After implementing a numerical model calibrated to satisfactorily reproduce the hydrodynamic characteristics of the studied system, we simulated different sea-level rise scenarios proposed by the Intergovernmental Panel on Climate Change (IPCC), using optimistic and pessimistic scenarios for the years 2050 and 2100. Results were classified following the often-adopted scheme of very low to very high vulnerability. The maximum variations in the lagoon level calculated by the model showed the importance of winds and tides (both astronomical and meteorological) as the main triggering processes of level oscillation. The final physical vulnerability spatial distribution, obtained by the integration of maximum lagoon level variations associated with future projections, allowed the recognition of the sectors within the lagoon system which are more prone to suffering impacts. Most of the system was considered to have an intermediate vulnerability to sea-level rise. However, sectors with high vulnerability were also identified, mostly located at the northern and southern shores of the lagoon (due to wind influence), as well as along its inlet margins (due to ocean dynamics). The proposed framework based on the variations of the water level can be widely adopted as a descriptor that synthesizes the main dynamic processes responsible for the physical vulnerability of sheltered systems, fitting to lagoons and bays with different physiographic characteristics. The determination of the spatial distribution of areas with different degrees of susceptibility can be a valuable tool for coastal planning and management actions to be performed in sheltered systems, which has been overlooked comparing to...</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Water level assessment in lagoons</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Mapping of coastline susceptibility</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Climate change impacts on sheltered systems</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Coastal risk to flooding</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Numerical modeling of winds and tides</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Bonetti, Jarbas</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Academic Press</subfield><subfield code="a">Aschauer, E. ELSEVIER</subfield><subfield code="t">Strain and stress analyses on thermally annealed Ti-Al-N/Mo-Si-B multilayer coatings by synchrotron X-ray diffraction</subfield><subfield code="d">2019</subfield><subfield code="g">London</subfield><subfield code="w">(DE-627)ELV001620800</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:249</subfield><subfield code="g">year:2021</subfield><subfield code="g">day:5</subfield><subfield code="g">month:02</subfield><subfield code="g">pages:0</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.ecss.2020.107118</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">52.78</subfield><subfield code="j">Oberflächentechnik</subfield><subfield code="j">Wärmebehandlung</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">51.20</subfield><subfield code="j">Werkstoffoberflächeneigenschaften</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">249</subfield><subfield code="j">2021</subfield><subfield code="b">5</subfield><subfield code="c">0205</subfield><subfield code="h">0</subfield></datafield></record></collection>
|
| score |
7.4005623 |