Quantitative Risk Assessment of Coastal Erosion in the Caribbean Region

Article Properties
  • Language
    English
  • Publication Date
    2020/08/01
  • Indian UGC (journal)
  • Refrences
    44
  • Citations
    1
  • Deborah Villarroel-Lamb Lecturer, Dept. of Civil and Environmental Engineering, Univ. of the West Indies, St. Augustine, Trinidad and Tobago; Honorary Research Associate, Dept. of Civil, Environmental and Geomatic Engineering, Univ. College London, London WC1E 6BT, UK. ORCID: . ORCID
Cite
Villarroel-Lamb, Deborah. “Quantitative Risk Assessment of Coastal Erosion in the Caribbean Region”. Natural Hazards Review, vol. 21, no. 3, 2020, https://doi.org/10.1061/(asce)nh.1527-6996.0000388.
Villarroel-Lamb, D. (2020). Quantitative Risk Assessment of Coastal Erosion in the Caribbean Region. Natural Hazards Review, 21(3). https://doi.org/10.1061/(asce)nh.1527-6996.0000388
Villarroel-Lamb D. Quantitative Risk Assessment of Coastal Erosion in the Caribbean Region. Natural Hazards Review. 2020;21(3).
Journal Categories
Geography
Anthropology
Recreation
Environmental sciences
Science
Geology
Science
Physics
Meteorology
Climatology
Technology
Engineering (General)
Civil engineering (General)
Technology
Hydraulic engineering
River, lake, and water-supply engineering (General)
Refrences
Title Journal Journal Categories Citations Publication Date
A brief history of tsunamis in the Caribbean Sea 2002
Climate change’s impact on the Caribbean’s ability to sustain tourism, natural assets and livelihoods technical notes 2011
MATLAB® release 2017b 2017
How to value infrastructure: Improving cost benefit analysis 2017
Coastal setbacks in Latin America and the Caribbean: A study of emerging issues and trends that inform guidelines for coastal planning and development 2012
Citations
Title Journal Journal Categories Citations Publication Date
Quantitative Assessment Model of IT Operation and Maintenance Operation Risk Based on the Digital Twin Model

Scientific Programming
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
2022
Citations Analysis
The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software 1 is the most commonly referenced area in studies that cite this article.