Garzon,Juan L.

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Additional Info

  • Bio:

    Juan L. Garzon is a postdoctoral fellow at CIMA/University of Algarve since May of 2019. He earned his bachelor in Civil Engineering by the University of Granada and his master degree in coastal and port engineering by the University of Cantabria. In 2018, he obtained his PhD in Coastal and Environmental Engineering at George Mason University (USA). His research focused on coastal flooding in large estuaries and the utilization of natural solutions for coastal protection. Specifically, assessing the ability of Spartina saltmarshes to attenuate floodings and reduce wave energy. Juan has a wide experience working with field equipment included low and high water pressure sensors, ADCPs, GPS system, etc. Regarding his numerical skills, he has a wide experience using models simulating hydrodynamics and sediment transport such as ADCIRC, DELFT3D, MIKE 21, SWAN and XBeach. During his academic and professional career, he has visited several countries such as Spain, Mexico, the USA, England and Portugal.

  • Interests:



    I have a passionate interest in many aspects of coastal management and engineering, especially in the integration of geospatial technologies, hydraulics, and coastal and environmental engineering. I believe that there is a critical need to combine available data, computational power and coastal process expertise to better understand the physical phenomena operating in coastal areas and increase our resilience to natural hazards. In order to move forward the current state of the art, in the near future I want to focus my research interests in at least the following topics:

    GIS applications for water resources, coastal engineering and natural hazards damage assessment. Geospatial information including topographical and infrastructure information, coastal risk mapping, population, property value, etc., are key factors for our future ability to better understand coastal community vulnerability and explore suitable options to increase resilience to coastal hazards. My research interest lies in the utilization of a GIS platform to integrate a multidisciplinary approach to identify vulnerability under the threat of storm and tsunamis related-impacts, climate change and sea level rise and support coastal protection practices.    

    Hydrodynamic processes in coastal areas. Coastal areas are among the most populated and economically developed regions in the world. These social and economic demands require a comprehensive understanding of the physical processes operating in coastal environments. My research focuses on tropical and extra-tropical coastal hazards hindcast and forecast to better understand the physics of these natural processes and enhance the disaster planning measures. This research involves field observations, numerical modeling, fluid dynamic theory and statistical analysis of storm surge, wind-generated waves and morphodynamic processes.  

    Natural solutions for coastal protection. While hard infrastructures are considered as the ultimate approach to protect coastal communities, these constructions have been challenged for their high building and maintenance cost, their negative impact in coastal ecosystems and the incapacity to adapt to rising sea levels. Among the suitable alternatives, mitigation nature-based practices such as wetlands, coral reefs, living shorelines, and beach and dune restoration might be an appropriate form of protection. My research aims to better understand the ability of these natural features to provide protection from flooding, wave attack and shoreline erosion. Specifically, evaluating the ability of saltmarshes to mitigate floods and attenuate wave energy during storm events. Moreover, exploring “soft” approaches to improve shoreline protection and mitigate risks. This research is based on the most advanced numerical tools, high fidelity field observations, and unmanned vehicles and remote sensing.


  • Publications:


    Garzon, J. L., Ferreira, C. M., Maza M., Lara J.L. and Losada I. (2019) “Wave attenuation by Spartina saltmarshes in the Chesapeake Bay under storm surge conditions.” Journal of Geophysical Research: Ocean, 124, 5220-5243.

    Baron-Hyppolite, C.; Lashley, C.H.; Garzon, J.L.; Miesse, T.; Ferreira, C.; Bricker, J.D (2019). “Comparison of Implicit and Explicit Vegetation Representations in SWAN Hindcasting Wave Dissipation by Coastal Wetlands in Chesapeake Bay”. Geosciences9, 8.

    Garzon, J. L., Miesse, T. andFerreira, C. M. (2018) “Field-based numerical model investigation of wave propagation across marshes in the Chesapeake Bay under storm surge conditions." Coastal Engineering,

    Bigalbal A., Rezaie A., Garzon J.L., and Ferreira C. (2018) “Potential Impacts of Sea Level Rise and Marsh Migration on Storm Surge Hydrodynamics and Waves on Coastal Protected Areas in the Chesapeake Bay.”, Journal of Marine Science and Engineering,6, 86,

    Glass, E., Garzon, J. L*., Lawler, S., Paquier, E. and Ferreira, C. M. (2017) “Potential of marshes to attenuate storm surge water level in the Chesapeake Bay.”, Limnol. Oceanogr. doi: 10.1002/lno.10682

    Garzon, J. L., Ferreira, C. M. and R. Padilla-Hernandez (2017) "Evaluation of weather forecast systems for storm surge modeling in the Chesapeake Bay.", Ocean dynamics.

    Garzon, J. L., Ferreira, C. M., Maza, M. and Lara, J.L. (2017) “A step forward in the implementation of natural solutions for coastal protection in the Chesapeake Bay.”, 8th SCACR International Short Conference on APPLIED COASTAL RESEARCH

    Borga, M., Tanyu, B. F., Ferreira, C. M., Garzon, J. L., and Onufrychuk, M. (2017) “A geospatial framework to estimate depth of scour under buildings due to storm surge in coastal areas.”, Nat Hazards.

    Garzon, J. L. andFerreira, C. M. (2016) "Storm surge modeling in large estuaries: sensitivity analyses to parameters and physical processes in the Chesapeake Bay.", J. Mar. Sci. Eng.. doi:10.3390/jmse4030045

    Garzon, J. L., Ferreira, C. M., Dalrymple, R. A. and Guikema, S.D. (2016)"Efficient integration of a storm surge model into a multidisciplinary agent based model framework.", Journal of Coastal Research, 1082-1086,

  • Projects:


    Early warning system for coastal risks induced by storms. ALG-LISBOA-01-145-FEDER-028657

    “Does vegetation reduce the magnitude of dune erosion induced by storms?” RITM0055676 ESA and ESA TPM  

    National Science Foundation under Grant SES-1331399.

    National Fish and Wildlife Foundation and the U.S. Department of the Interior under Grant 43932.

    RJ KOSE 2018 in partnership with The Nature of Conservancy and Maryland Department of natural resources.