Assessment of the physical vulnerability to erosion and flooding in a sheltered coastal sector: Florianópolis Bay, Brazil

被引:0
|
作者
Yasmim Garcia da Silveira
Jarbas Bonetti
机构
[1] Federal University of Santa Catarina,Coastal Oceanography Laboratory (LOC)
来源
关键词
Coastal erosion; Coastal flooding; Coastline change; Spatial analysis;
D O I
暂无
中图分类号
学科分类号
摘要
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.
引用
收藏
页码:303 / 314
页数:11
相关论文
共 50 条
  • [21] Exposure of atoll population to coastal erosion and flooding: a South Tarawa assessment, Kiribati
    Virginie Duvat
    Alexandre Magnan
    Frédéric Pouget
    Sustainability Science, 2013, 8 : 423 - 440
  • [22] Assessment of coastal vulnerability in Chabahar Bay due to climate change scenarios
    Armanfar, Mahmoudreza
    Goharnejad, Hamid
    Niri, Mahmoud Zakeri
    Perrie, Will
    OCEANOLOGIA, 2019, 61 (04) : 412 - 426
  • [23] Dynamical descriptors of physical vulnerability to sea-level rise in sheltered coastal systems: A methodological framework
    de Oliveira, Allan de Oliveira
    Bonetti, Jarbas
    ESTUARINE COASTAL AND SHELF SCIENCE, 2021, 249
  • [24] Coastal vulnerability assessment: a case study on erosion and coastal change along Tuticorin, Gulf of Mannar
    Anitha Parthasarathy
    Usha Natesan
    Natural Hazards, 2015, 75 : 1713 - 1729
  • [25] Coastal vulnerability assessment: a case study on erosion and coastal change along Tuticorin, Gulf of Mannar
    Parthasarathy, Anitha
    Natesan, Usha
    NATURAL HAZARDS, 2015, 75 (02) : 1713 - 1729
  • [26] Systemic vulnerability of coastal territories to erosion and marine flooding: A conceptual and methodological approach applied to Brittany (France)
    Le Berre, Iwan
    Meur-Ferec, Catherine
    Cuq, Veronique
    Guillou, Elisabeth
    Lami, Thibaud
    Le Dantec, Nicolas
    Letortu, Pauline
    Lummert, Caroline
    Philippe, Manuelle
    Rouan, Mathias
    Nous, Camille
    Henaff, Alain
    INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION, 2022, 78
  • [27] Coastal erosion and flooding risk assessment based on grid scale: A case study of six coastal metropolitan areas
    Cao, Xuyue
    Sun, Yonghua
    Wang, Yanzhao
    Wang, Yihan
    Cheng, Xinglu
    Zhang, Wangkuan
    Zong, Jinkun
    Wang, Ruozeng
    SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 946
  • [28] The Use of Landsat and Aerial Photography for the Assessment of Coastal Erosion and Erosion Susceptibility in False Bay, South Africa
    Callaghan, Kerry
    Engelbrecht, Jeanine
    Kemp, Jaco
    SOUTH AFRICAN JOURNAL OF GEOMATICS, 2015, 4 (02): : 65 - 79
  • [29] Coastal Adaptation and Vulnerability Assessment in a Warming Future: A Systematic Review of the Tourism Sector
    Soontiens-Olsen, Alexandria
    Genge, Laurel
    Medeiros, Andrew Scott
    Klein, Georgia
    Lin, Shannon
    Sheehan, Lorn
    SAGE OPEN, 2023, 13 (02):
  • [30] Evaluation of coastal vulnerability and exposure to erosion and submersion risks in Bou Ismail Bay (Algeria) using the coastal risk index (CRI)
    Chaib, Walid
    Guerfi, Mokhtar
    Hemdane, Yacine
    ARABIAN JOURNAL OF GEOSCIENCES, 2020, 13 (11)