Bayesian framework for probabilistic modelling of typhoon risks

Name: Bayesian framework for probabilistic modelling of typhoon risks
Brand: Sudwestdeutscher Verlag Fur Hochschulschriften AG
SKU: 9783838136516
Price: 21281 HUF
Availability: InStock

Szerző: Mathias Graf

Nyelv:

Kötés: Puha kötésű

Kiadó: Sudwestdeutscher Verlag Fur Hochschulschriften AG

Elérhetőség: Beszállítói készleten

Küldés 8-11 napon belül

21 281 Ft

Probabilistic models for natural hazards generally aim at describing the probabilistic characteristi...

Információk a könyvről

Szerző

Mathias Graf

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2013

oldal

300

EAN

9783838136516

ISBN

3838136519

Enbook ID

01797158

Kiadó

Sudwestdeutscher Verlag Fur Hochschulschriften AG

Súly

440

Méretek

152 x 229 x 17

Teljes leírás

Probabilistic models for natural hazards generally aim at describing the probabilistic characteristics of the underlying physical phenomena associated with the natural hazard events. Thereby, the degree of the detail and requirements to the probabilistic models should be associated with their applications, i.e. types of risk management and more generally decision situations. Seen in this light, most of the existing typhoon models seem to be developed for assessing wind hazards for the purpose to facilitate structural design in regard to wind loads and assessing insured portfolio losses. Whereas these are some of the most relevant applications of the typhoon models, there are other relevant decision situations where the typhoon model can potentially be useful. The presented typhoon model is developed with the scope of applying a broader range of decision situations. Such decision situations include: near-real-time decision making for the evacuation of people and shut-down of engineered facilities in the face of emerging typhoon events; adaptation of building codes in regard to wind loads to the possible increaseof wind hazards that might be caused by the global climate change.

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Bayesian framework for probabilistic modelling of typhoon risks

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