Every year billions are lost to natural hazards, and only around 60% are insured losses.
Hope for the best, prepare for the worst.
Munich Re has been collecting data on natural hazards for more than 50 years. Are you prepared for the next natural hazard?
For a given location you get a condensed overview, you can use as an identifer of red flags and easy benchmarking:
Probable maximum intensity (MM: modified Mercalli scale) with an exceedance probability of 10% in 50 years (equivalent to a „return period“ of 475 years) for medium subsoil conditions.
Value | Zone |
---|---|
0 | Zone 0: MM V and below |
1 | Zone 1: MM VI |
2 | Zone 2: MM VII |
3 | Zone 3: MM VIII |
4 | Zone 4: MM IX and above |
The earthquake map is graded according to the intensity that is to be expected once in a period of 475 years.
Intensity integrates a number of parameters such as ground acceleration and earthquake duration. The return period of 475 years corresponds to a 10% exceedance probability in 50 years, which repre- sents the mean service life of modern buildings. The intensity is expressed in terms of the modified Mercalli scale (MM). The earthquake map is based on an assemblage of existing hazard maps of individual countries. The source maps show:
Merging such heterogeneous sources presents enormous problems, beginning with the process of converting acceleration values into macroseismic intensity, for which various formulas have been proposed (e.g. Trifunac and Brady 1975, Murphy and O’Brien 1977).
The Global Earthquake Model (GEM) Global Seismic Hazard Map (version 2018.1) depicts the geographic distribution of the Peak Ground Acceleration (PGA) with a 10% probability of being exceeded in 50 years, computed for reference rock conditions (shear wave velocity, VS30, of 760–800 m/s).
The map was created by collected maps computed using national and
regional probabilistic seismic hazard models developed by various institu- tions and projects, and by GEM Foundation scientists. The OpenQuake
engine, an open-source seismic hazard and risk calculation software devel- oped principally by the GEM Foundation, was used to calculate the hazard
values. A smoothing methodology was applied to homogenize hazard values along the model borders. The map is based on a database of hazard models described using the
OpenQuake engine data format (NRML); those models originally imple- mented in other software formats were converted into NRML. While trans- lating these models, various checks were performed to test the compatibil- ity between the original results and the new results computed using the
OpenQuake engine. Overall the differences between the original and
translated model results are small, notwithstanding some diversity in mod- elling methodologies implemented in different hazard modelling software.
The hashed areas in the map (e.g. Greenland) are currently not covered by a hazard model. The map and the underlying database of models are a dynamic framework, capable of incorporating newly released open models. Due to possible model limitations, regions portrayed with low hazard may still experience potentially damaging earthquakes.
Details about 14 natural hazards, right at your fingertips.
All locations in 21RISK are geocoded, using Google apis.
Use the simple risk scores 0-100 on natural hazards to indicate red flags. Something everyone can understand.
Munich Re is the world's largest re-insurer and has been working with hazard data for 50 years.
Enterprise customers can enjoy simple pricing. One report with NatCat data costs €100 per location. The report never expires, and data is at your fingertips.
Data on NatCat severity measured against your values gives you reliable data to decide exposure to your need for insurance coverage.
Create reports that require additional questions answered if a given risk score is above a threshold.
Do you want your locations in earthquake-exposed areas to take extra precautions?
With conditional categories from 21RISK, you can configure questions to be visible only if for example the earthquake score is above 65 .
Build state-of-the-art reports by combining hazards with other powerful 21RISK categories.
The Location Category provides high resolution satellite images, powered by mapbox.com.
Discover how you and your colleagues can interact with your collected natural hazards data in Power BI. Discover for yourself ⬇️ ⬇️