scholarly journals Parametric and physically based modelling techniques for flood risk and vulnerability assessment: A comparison

2013 ◽  
Vol 41 ◽  
pp. 84-92 ◽  
Author(s):  
S.F. Balica ◽  
I. Popescu ◽  
L. Beevers ◽  
N.G. Wright
Keyword(s):  
Vulnerability Assessment ◽  
Flood Risk ◽  
Physically Based ◽  
Modelling Techniques ◽  
Physically Based Modelling

Limits to natural disasters management: the influence of human behavior

2020 ◽  
Author(s):  
Jeroen Aerts
Keyword(s):  
Climate Change ◽  
Risk Assessment ◽  
Risk Management ◽  
Natural Disasters ◽  
Human Behavior ◽  
Flood Risk ◽  
Behavioral Adaptation ◽  
Risk Models ◽  
Physically Based ◽  
The Impact

<p>Despite billions of dollars of investments in disaster risk reduction (DRR), data over the period 1994- 2013 show natural disasters caused 1.35 million lives. Science respond with more timely and accurate information on the dynamics of risk and vulnerability of natural hazards, such as floods. This information is essential for designing and implementing effective climate change adaptation and DRR policies. However, how much do we really know about how the main agents in DRR (individuals, businesses, government, NGO) use this data? How do agents behave before, during, and after a disaster, since this can dramatically affect the impact and recovery time. Since existing risk assessment methods rarely include this critical ‘behavioral adaptation’ factor, significant progress has been made in the scientific community to address human adaptation activities (development of flood protection, reservoir operations, land management practices) in physically based risk models.</p><p>This presentation gives an historic overview of the most important developments in DRR science for flood risk. Traditional risk methods integrate vulnerability and adaptation using a ‘top- down’ scenario approach, where climate change, socio economic trends and adaptation are treated as external forcing to a physically based risk model (e.g. hydrological or storm surge model). Vulnerability research has made significant steps in identifying the relevant vulnerability indicators, but has not yet provided the necessary tools to dynamically integrate vulnerability in flood risk models.</p><p>However, recent research show novel methods to integrate human adaptive behavior with flood risk models. By integrating behavioral adaptation dynamics in Agent Based Risk Models, may lead to a more realistic characterization of the risks and improved assessment of the effectiveness of risk management strategies and investments. With these improved methods, it is also shown that in the coming decades, human behavior is an important driver to flood risk projections as compared to other drivers, such as climate change. This presentation shows how these recent innovations for flood risk assessment provides novel insight for flood risk management policies.</p>

Comprehensive physically based modelling and simulation of power diodes with parameter extraction using MATLAB

2014 ◽  
Vol 7 (10) ◽  
pp. 2464-2471 ◽  
Author(s):  
Ahmed Shaker ◽  
Mohamed Abouelatta ◽  
Gihan Taha Sayah ◽  
Abdelhalim Zekry
Keyword(s):  
Parameter Extraction ◽  
Modelling And Simulation ◽  
Power Diodes ◽  
Physically Based ◽  
Physically Based Modelling
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