Research
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ENARM
Currently, 41% of power stations, 17.9% of railway track, 14.3% of railway stations, 33% of wastewater treatment and half a million of properties are at risk of coastal flooding. The average damage to properties is over £260million each year. Hard engineering solutions are becoming economically unviable due to the high costs of construction, maintenance and adaptation to changes in sea level and storms.
For this reason, there is a growing interest in engineering with nature (including the creation of salt marshes, seagrass beds, beach nourishment and mega-nourishment) which offers a more economically viable alternative and also support net Zero-Carbon emissions and local amenities value as highlighted into the 25 years Government plan to improve the environment, FCERM strategies for England, Scotland and Wales. However, despite the growing recognition about the necessity to move towards this greener alternative for coastal protection, there is little to no guidance on the implementation on engineering with nature. There are no quantitative and process-based decision-making tools and guidelines to aid engineers, planners, and governments to select coastal management strategies fit for their unique local environment. There are still many uncertainties in relation to conditions maximizing the establishment and longevity of engineering with nature and uncertainties in relation to their effectiveness.
This fellowship will develop novel understanding necessary to protect coastal infrastructures and coastal communities through widespread adoption of engineering with nature. The fellowship will use a novel combination of remote sensing, artificial intelligence and computer models to provide -for the first-time- design criteria for coastal protection using engineering with nature and knowledge necessary for the choice of the most durable and efficient coastal management type and location. Results will be summarized into an interactive decision support tool which will be distributed to stakeholders and government agencies for a consistent evaluation of pros- and cons of different coastal management interventions including uncertainties in relation to their effectiveness under different sea level rise and storms scenarios.
NUMERICAL MODELS FOR COASTAL HYDRODYNAMICS AND SEDIMENT TRANSPORT
Most of Nicoletta's research uses computer models such as Delft3D, ROMS or self-developed codes to investigate coastal hydrodynamics, sediment transport processes, and coastal vulnerability to climate change. She also participated to several field campaigns for the collection of hydrodynamic and geomorphological measurements to be used in combination with computer models.
IMPACT OF HURRICANE SANDY ON THE SALT MARSHES OF CHINCOTEGUE BAY, VIRGINIA, AND BARNEGAT BAY
I have been working with Boston University and the USGS to understand salt marsh resilience to violent storms and hurricanes, and to develop new numerical models and routines for wetlands erosion and sediment transport processes.
We are using the numerical model COAWST (ROMS+SWAN+WRF) to model wetlands behaviour under different wave climate and storms conditions.
Research groups
Research grants
ENARM - Engineering with Nature: combining Artificial intelligence, Remote sensing and computer Models for the optimum design of coastal protection schemes in estuaries
ENGINEERING & PHYSICAL SCIENCES RESEARCH COUNCIL
November 2021 - May 2027
Building coastal resilience one sediment grain at the time: field measurements and community engagement on nature-based solutions for coastal protection
ROYAL GEOGRAPHICAL SOCIETY (UK)
June 2021 - September 2022
Assuring safe port navigation by applying machine learning (ML) to wave data for monitoring changes in nearshore bathymetry.
MARRI UK (UK)
October 2020 - September 2022
Impact Of Hurricane Sandy On The Salt Marshes Of Chincoteague Bay, Virginia, and Barnegat Bay, New Jersey
UNITED STATES GEOLOGICAL SURVEY (USA)
October 2016 - September 2021
Physical and biological dynamic coastal processes and their role in coastal recovery (BLUE-coast)
NATURAL ENVIRONMENT RESEARCH COUNCIL
May 2016 - January 2022