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Volume 9

Journal of Earth Science & Climatic Change

Natural Hazards Congress 2018

July 26-27, 2018

July 26-27, 2018 Melbourne, Australia

2

nd

International Conference on

Natural Hazards and Disaster Management

Better modeling durations to better characterize heat spells: A new approach to estimate extreme

temperatures in the nuclear safety field

Yasser Hamdi, Claire Marie Duluc and Vincent Rebour

Institute of Radiation Protection and Nuclear Safety, France

M

ethods for characterizing Extreme Temperatures (ETs) and heat waves hazards were often used in the literature by

applying the extreme value theory but rarely with duration modeling. Systems more susceptible to the ETs have another

temperature which we designate herein as the long duration anticipated temperature. For a modern risk-based approach,

knowledge of the magnitude and frequency of occurrence for a given duration and number of exceedances are prerequisites.

Yet despite its obvious importance, ETs durations have been often excluded from the modeling. However, the notion of duration

is not easily interpretable in a frequency analysis and can even be subtle. Few methods have been proposed in the literature to

tackle this issue. The most important contributions propose the Temperature-Duration-Frequency (TDF) concept. However,

the relevance of the TDF estimates in relation to a risk-based assessment for Nuclear Power Plants (NPPs) is questionable.

Indeed, the durations considered in this concept are given in consecutive days while some ETs exceeded a number of non-

consecutive days/year are important, as well. Indeed, ETs exceeded non-consecutive d days/year in a future horizon is important

for periodic nuclear safety review during the NPP’s life and in design and conception of new equipment’s. As a matter of fact,

the non-consecutive exceedances are nothing else than the annually r-Largest-Order-Statistics (r-LOS). This paper presents a

new and more rational approach to estimate a design temperature considering events durations. The approach is based on the

set of temperature r-LOS-frequency (TrF) curves. The Orange station in southern France is used as a case study. Annual ETs

of duration r=1…10 non-consecutive-days are used and 10:100 years return periods are used. These estimates are then used

to construct the TrF curves that provide estimates of extreme hot temperatures for a given return period, for various durations

of practical interest. Finally, we strongly believe that the probability of high temperatures related failure over an equipment

lifetime is an important piece of information an engineer can communicate, if it is associated to the duration of spells.

Biography

Yasser Hamdi has his specialization in the analysis of the risk associated to hydrometeorology, environmental and climate extremes. He has obtained his PhD

in Civil Engineering from Laval University, Quebec, Canada. He has developed several approaches and tools for the estimation of extreme events on local and

regional scales, developed several methodologies and computer softwares that deal with a range of problems in the field of water and environmental engineering.

He also has an experience in the use of historical information in local and regional frequency analyses to characterize river and marine flooding hazards and in the

frequency estimation of extreme temperature in a non-stationary context.

yasser.hamdi@irsn.fr yasser.hamdi@ymail.com

Yasser Hamdi et al., J Earth Sci Clim Change 2018, Volume 9

DOI: 10.4172/2157-7617-C2-042