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Environmental Risk Information System (ERIS)

Hot nights due to climate change increase mortality risks. Using UrbClim data, we assess hot-night impacts in Athens to inform adaptation strategies and identify climate shelters. ERIS, our GIS tool, supports decision-making on heat-related risks.

Detailed assessment of the thermal characteristics atspatial and temporal high resolution (hourly at 100 x 100m)
UrbClim model can be extended
Already developed and tested based on state of the art.

- Identification of exposure differential in extreme heat events
- To reduce potential risks, locations of urban climate shelters addressing intersecting vulnerabilities
- Connecting adaptation goals with associated measures
- Weather station data are not enough to capture thermal exposure in urban environments
- Unfavorable climate data formats that hinder handling, easy interpretation, or visualization for non-specialized end users.
- Absence of a tool to assist stakeholders and policymakers in decision-making related to the design and implementation of adaptation measures, including determining suitable testing, monitoring, and validation locations.
The innovation addresses heatwave problems.

TRL8. System incorporated in comercial design
In this case, the indicated TRL 8 can be justified easily through the projects in which it has participated. ERIS starts from the basis developed in previous projects in which weather and climate data visualization platforms adapted to different sectors, both national (through private contracts), European (ECCLIPSE) and international, have been generated.

See more information about this level and the TRL and SRL levels.

The main components of the system have been tested separately, and an initial integration exercise has been conducted.

Credits
CREDITS
Technical director - Luis Torres Michelena
Collaborators
COLLABORATORS
No collaborator

How does it work?

The innovative approach at high spatio-temporal resolution will provide the heat exposure differential for adaptation measures suchas those envisaged in “greening solutions with direct or indirect cooling effects for the city”. At the same time, together with socio-economic data, it allows “measures to enhance the city’s capacity in protecting its vulnerable population”, “to assess or mitigate theimpact on human health and/or economic sectors”, in consequence, as an online GIS tool “to facilitate the city’s decision-makingcapacity”.

Independently based on state of art in risk assessment and environmental epidemiology. It has been already developed and tested in other locations and could be easily replicated, as the methodology is proved, in Athens.

The main limitation is that the available high-resolution data for Athens only covers 2008 to 2017, but it is possible to extend this not only to past years, but even to obtain climate scenarios for the future as shown for other European cities (climate-fit.city). In any case, the data that already exists can be a good approach to measure, assess or mitigate the impact on human health.

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