News Release

An improved method for estimating the probability of extreme events was developed at VTT

Peer-Reviewed Publication

VTT Technical Research Centre of Finland

Researchers at VTT Technical Research Centre of Finland have developed a new and more accurate method for estimating the probability of extreme events, such as storms, floods and earthquakes. The new method will be used in updating building codes and land-use regulations, and is applicable also in developing artificial intelligence, as well as in economics and medical data analysis.

Extreme events, such as storms, floods and earthquakes have always been disastrous to civilizations. Communities prepare for them by rigid constructions, flood banks, drainage channels and avoiding building at hazardous locations. For all such preparations, being able to estimate the probability of hazardous extremes is crucial. The estimation is based on the statistics of previously observed extremes, studied by so-called extreme value analysis. Many extreme value analysis methods exist and it has not been clear which of them should be preferred.

Researchers at VTT, Lasse Makkonen and Maria Tikanmäki, developed a new more accurate extreme value analysis method. The problem of how to appropriately evaluate the goodness of such methods was also solved in this connection.

Makkonen and Tikanmäki showed, by numerical Monte-Carlo simulations, that their new extreme value analysis method is much more accurate than the methods that are currently widely used. The difference is significant particularly when the number of available previously observed extremes is small. Typically, the current methods underestimate the probability of the most hazardous extreme events.

The new method, developed at VTT, will improve the estimation of the probability of extreme events and will thus contribute to preparation for natural hazards in an economically optimal but safe manner. This will happen via updating building codes and land-use planning regulations. The new method will have wide applications, because extreme value analysis is also in use e.g. in the development of artificial intelligence, in economics and in the analysis of medical data.

"Extreme value analysis of natural phenomena aims at appropriate preparation against hazardous extreme events. Therefore, it forms the foundation of all regulations that aim at securing the safety of buildings and infrastructure. Stronger constructions and protection arrangements increase costs, so that economic optimation is another issue here. Good estimation of the probability of extreme events is particularly important for those constructions for which indirect damage caused by a rare extreme event is exceptionally heavy, such as in the case of nuclear power plants and large dams", says Lasse Makkonen.

The study by Makkonen and Tikanmäki was published in the Journal of Hydrology and can be read at https://www.sciencedirect.com/science/article/pii/S2589915518300129.

###

The research was funded by the Ministry of Environment, Finland and Academy of Finland.

Further information:

VTT Technical Research Centre of Finland Ltd
Maria Tikanmäki, Research Scientist
maria.tikanmaki@vtt.fi, tel. +358 40 5279359

Lasse Makkonen, Principal Scientist
lasse.makkonen@vtt.fi, tel. +358 40 5932457

Further information on VTT:

Paula Bergqvist
Specialist, External Communications
+358 20 722 5161
paula.bergqvist@vtt.fi
http://www.vtt.fi

VTT is a visionary research, development and innovation partner. We drive sustainable growth and tackle the biggest global challenges of our time and turn them into growth opportunities. We go beyond the obvious to help the society and companies to grow through technological innovations. We have over 75 years of experience of top-level research and science-based results. VTT´s turnover and other operating income is 258 M€. VTT is at the sweet spot where innovation and business come together. VTT - beyond the obvious. Twitter @VTTFinland, Facebook, LinkedIn, YouTube and Instagram. For photos and videos, please visit our Image Bank.


Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.