Knowledge and Data from the Deep to Space
In earth systems, oceans represent an important element of equalization and normal functioning. Nowadays oceans are believed to represent perhaps the most important contribution to the current balance between all earth elements for a healthy and sustainable earth global system. However, oceans remai...
PROJECT DESCRIPTION
In earth systems, oceans represent an important element of equalization and normal functioning. Nowadays oceans are believed to represent perhaps the most important contribution to the current balance between all earth elements for a healthy and sustainable earth global system. However, oceans remain as the most remote and unexplored frontier among all earth elements. Ocean-atmospheric interactions are nowadays believed to be at the heart of all earth vital signs and climatic behaviors, and therefore are essential to an accurate monitoring and understanding of earth systems, their changes and the results of human impacts. As the continuous acceleration of human systems complexity is expected, novel and disruptive ways to tackle this major challenge are urgent.
K2D addresses this challenge by proposing the development of a synergistic set of components, including electronic components and Autonomous Underwater Vehicles, that permit the cost-effective gathering of extensive and complete data from the oceans, including physical, chemical, biological and environmental variables. For that purpose acoustic information and environmental DNA will be combined, as well as advanced Geoinformatics modeling hybridized with Artificial Intelligence tools to enrich geospatial and temporal information models to describe and anticipate oceans health patterns and human activities, mostly the ones more prone to hazards and extreme events. To close the loop, the same Geostatistics models can be used to create a continuum from deep-see to near space, by integrating remote sensing and satellite information describing earth global systems in a holistic manner.
Today the oceans remain the most remote and unexplored frontier among all the elements on earth. Atmospheric-ocean interactions are at the heart of all Earth's vital signs and climate behaviors and are therefore essential for accurate monitoring and understanding of Earth systems, their changes and the results of human impacts. Given this scenario, it is urgent to develop innovative ways to face this great challenge. K2D proposes the development of a global scale monitoring system for the oceans, capable of handling all bathymetric levels. Underwater, the challenges are enormous and the environmental exposure characteristics are overly hostile to conventional sensing approaches similar to existing ones for monitoring the atmosphere and near space, which rely on satellites and other remote sensing systems.
K2D proposes to take advantage of the already existing widespread infrastructure of submarine communications and energy transport cables to produce a network of continuous and real-time detection of the vital signs of the land and, in particular, of the oceans. K2D proposes the development of a synergistic set of components, including electronic components and Autonomous Undersea Vehicles, that allow the cost-effective collection of extensive and complex ocean data, including physical, chemical, biological and environmental variables. Among others, acoustic information and environmental DNA will be combined with other data sources, along with models and implementation of Artificial Intelligence that allow describing and anticipating abnormal patterns and human activities, especially those most prone to risks and extreme events.
| Acronym: | K2D |
| Cost Center: | 1047 |
| Operation Code: | ACORES-01-0145-FEDER-000132 |
| Title: | K2D: Knowledge and Data from the Deep to Space |
| Start-End: | 01-01-2021 - 30-06-2023 |
| Main Beneficiary Entity: | Fundação Gaspar Frutuoso |
| Co-Promotion Beneficiary Entity: | AIR Center |
| Responsible Researcher: | José Manuel Viegas Oliveira Neto Azevedo |
| Organic Units: | FCAA - Faculdade de Ciências Agrárias e do Ambiente |
| R&D Units: | GBA-cE3c - Grupo de Biodiversidade dos Açores |
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Its objective is to increase quality scientific production oriented towards intelligent specialization, and the main objective of this project is to design integrated systems capable of monitoring different variables in the ocean based on the submarine cable infrastructure in combination with autonomous vehicles. This will allow the design of a monitoring network of the ocean, the ecosystem and its inhabitants from the deep sea to the surface, which will provide information on areas still largely unknown due to their inaccessibility through traditional sampling.
The objectives that define the project are:
- Installation of a network of sensors, through the use of submarine cables, with a special focus on acoustic monitoring.
- Develop a new communications repeater for submarine cables that, in addition to the typical function of conditioning and amplifying communication signals, will monitor the water column and the interior of the earth.
- Develop methodologies to translate the acoustic landscape into information that allows decision-making (e.g., biodiversity monitoring, anthropogenic activities, identification of organisms, health status, among others).
- Develop indirect monitoring systems based simultaneously on acoustic and eDNA monitoring of ecosystems, identification of species and abundances.
- Combining the use of AUVs with observatories on submarine cables. These AUVs will make it possible to complement the data collected by the fixed nodes, thus increasing the range of the observatories. This will also allow extending the data collection to the entire water column.
- The University of the Azores will play a more active role in the discussion and design of ocean monitoring systems (with greater focus on acoustic monitoring); in the pilot experience in situ for the different case studies; and also in the dissemination of the project to the scientific community and the general public.
| Acronym | K2D |
| Title | Knowledge and Data from the Deep to Space |