Bulgaria

National policies, plans and risk and governance profile(s)

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Documents and publications
The survey shows Bulgarians feel most vulnerable to floods (34%) and extreme weather (28%). They trust public authorities but often rely on informal sources for information. A gap exists between perceived and actual preparedness.
Cover and source: Global Earthquake Model Foundation
Documents and publications
This seismic risk profile of Bulgaria, produced by the Global Earthquake Model (GEM) Foundation summarizes key metrics of seismic risk, allowing stakeholders in risk management to get an overview of the risk in the country.
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Documents and publications
In the present study, deterministic and probabilistic earthquake (seismic) ground-motion scenarios are developed and presented for one of the most earthquake-prone cities in Bulgaria, the city of Plovdiv.
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Documents and publications
This country profile for Bulgaria provides a summary of available evidence on climate hazards, health vulnerabilities, health impacts and progress to date in health sector efforts to realize a climate-resilient health system.
Documents and publications

This climate risk profile is intended to serve as public goods to facilitate upstream country diagnostics, policy dialogue, and strategic planning by providing comprehensive overviews of trends and projected changes in key climate parameters, sector

Documents and publications

This paper analyses what different urban actors (citizens; politicians; urban planners and designers; and urban climate experts) who shape the urban environment and thus its climate, know about urban climate adaptation measures. Thereby, this study is

Documents and publications

This paper presents a mobility indicator derived from anonymised aggregated mobile positioning data. Even though the indicator does not provide information about the behaviour of individuals, it captures valuable insights into the mobility patterns of the

Documents and publications

This work introduces the concept of data-driven Mobility Functional Areas (MFAs) as geographic zones with a high degree of intra-mobility exchanges. Such information, calculated at European regional scale thanks to mobile data, can be useful to inform

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