Dynamically downscaled coastal flooding in Brazil's Guanabara Bay under a future climate change scenario

被引:1
作者
Toste, Raquel [1 ,2 ]
Vasconcelos, Adriano [3 ]
Assad, Luiz Paulo de Freitas [1 ,4 ]
Landau, Luiz [1 ,2 ]
机构
[1] Univ Fed Rio de Janeiro, Lab Computat Methods Engn, LAMCE, Rua Sydiney Martins Gomes dos Santos 179, BR-21949900 Rio De Janeiro, RJ, Brazil
[2] Univ Fed Rio de Janeiro, Civil Engn Program, COPPE, Ave Athos da Silveira Ramos 149, BR-21941909 Rio De Janeiro, RJ, Brazil
[3] Univ Fed Rio de Janeiro, Radar Remote Sensing Lab Appl Oil Ind, LabSaR, Rua Sydiney Martins Gomes St 179, BR-21941859 Rio De Janeiro, RJ, Brazil
[4] Univ Fed Rio de Janeiro, Geosci Inst, Dept Meteorol, Rua Athos Silveira Ramos 274, BR-21941916 Rio De Janeiro, RJ, Brazil
关键词
Climate change; Coastal flooding; Ocean modeling; CMIP5; ROMS; SEA-LEVEL RISE; RIO-DE-JANEIRO; VULNERABILITY INDEX; MODEL; VARIABILITY; 21ST-CENTURY; ECOSYSTEMS; MIGRATION; BEACHES; SYSTEM;
D O I
10.1007/s11069-024-06556-7
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
In recent years, extensive research has been conducted on various aspects of climate change, with particular attention given to the sea level rise (SLR) as a significant consequence of global warming. Although a general trend of positive SLR exists worldwide, regional variations in SLR rates are observed. This study aims to investigate the potential impact of SLR projected by a Coupled Model Intercomparison Project phase 5 model, under a 4.5 W m-2\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$<^>{-2}$$\end{document} radiative forcing stabilization scenario by 2100, on coastal flooding along the Brazilian Coast. To achieve this, an ocean numerical downscaling approach was employed using multiple nested grids with the Regional Ocean Modeling System, with a specific focus on the Guanabara Bay region. Guanabara Bay is a vital water body that receives substantial water discharges from the densely populated Rio de Janeiro metropolitan area. Two experiments were conducted simulating the present (1995-2005) and future conditions (2090-2100), and the projected changes were evaluated. The results reveal a projected SLR of 0.69 m at Fiscal Island by the end of the century, anticipating potential loss of remaining mangrove areas and the expansion and persistence of coastal flooding in important tourist destinations within the Rio de Janeiro Municipality. Overall, this study provides valuable insights into the potential impacts of SLR on coastal flooding in the Brazilian Coast, emphasizing the importance of considering regional variations in SLR rates for effective coastal management and adaptation strategies.
引用
收藏
页码:7845 / 7869
页数:25
相关论文
共 50 条
  • [41] Connecting today's climates to future climate analogs to facilitate movement of species under climate change
    Littlefield, Caitlin E.
    McRae, Brad H.
    Michalak, Julia L.
    Lawler, Joshua J.
    Carroll, Carlos
    CONSERVATION BIOLOGY, 2017, 31 (06) : 1397 - 1408
  • [42] Numerical study of the future PM 2.5 concentration under climate change and best-health-effect (BHE) scenario
    Li, Dongqing
    Wu, Qizhong
    Cheng, Huaqiong
    Feng, Jinming
    Li, Dongxing
    Wang, Yongli
    Cao, Kai
    Wang, Lanning
    ENVIRONMENTAL POLLUTION, 2024, 357
  • [43] Vulnerability of pastoral farming in Hawke's Bay to future climate change: Development of a pre-screening (bottom-up) methodology
    Fowler, Anthony M.
    Aiken, Simon
    Maree, Kim
    NEW ZEALAND GEOGRAPHER, 2013, 69 (02) : 120 - 135
  • [44] Assessing extreme significant wave height in China's coastal waters under climate change
    Zhu, Xiaowen
    Huang, Weinan
    FRONTIERS IN MARINE SCIENCE, 2024, 11
  • [45] Climate change adaptation in the planning of England's coastal urban areas: Priorities, barriers and future prospects
    Young, Daniel
    Essex, Stephen
    JOURNAL OF PLANNING LITERATURE, 2022, 37 (01) : 186 - 186
  • [46] Climate change adaptation in the planning of England's coastal urban areas: priorities, barriers and future prospects
    Young, Daniel
    Essex, Stephen
    JOURNAL OF ENVIRONMENTAL PLANNING AND MANAGEMENT, 2020, 63 (05) : 912 - 934
  • [47] Projecting the dynamics of terrestrial net primary productivity in response to future climate change under the RCP2.6 scenario
    Gang, Chengcheng
    Wang, Zhaoqi
    Zhou, Wei
    Chen, Yizhao
    Li, Jianlong
    Cheng, Jimin
    Guo, Liang
    Odeh, Inakwu
    Chen, Chun
    ENVIRONMENTAL EARTH SCIENCES, 2015, 74 (07) : 5949 - 5959
  • [48] Planting suitability of China's main grain crops under future climate change
    Lv, Tong
    Peng, Shouzhang
    Liu, Bo
    Liu, Yunuo
    Ding, Yongxia
    FIELD CROPS RESEARCH, 2023, 302
  • [49] Future yields of double-cropping systems in the Southern Amazon, Brazil, under climate change and technological development
    Hampf, Anna C.
    Stella, Tommaso
    Berg-Mohnicke, Michael
    Kawohl, Tobias
    Kilian, Markus
    Nendel, Claas
    AGRICULTURAL SYSTEMS, 2020, 177
  • [50] Cross-sectoral and multiscalar exposure assessment to advance climate adaptation policy: The case of future coastal flooding of California's airports
    Lindbergh, S.
    Ju, Y.
    He, Y.
    Radke, J.
    Rakas, J.
    CLIMATE RISK MANAGEMENT, 2022, 38