Coastal Risk Assessment Framework: Comparison of modelled fluvial and marine inundation impacts, Bocca di Magra, Ligurian coast, Italy

2018 ◽  
Vol 134 ◽  
pp. 229-240 ◽  
Author(s):  
Silvia De Angeli ◽  
Mirko D'Andrea ◽  
Giacomo Cazzola ◽  
Daniele Dolia ◽  
Enrico Duo ◽  
...  
2018 ◽  
Vol 134 ◽  
pp. 33-47 ◽  
Author(s):  
C. Viavattene ◽  
J.A. Jiménez ◽  
O. Ferreira ◽  
S. Priest ◽  
D. Owen ◽  
...  

2020 ◽  
Author(s):  
Tae-Soon Kang ◽  
Hyeong-Min Oh ◽  
Soon-Mi Hwang ◽  
Ho-Kyun Kim ◽  
Kwang-Young Jeong

<p>Korean coasts are exposed to high risks such as storm surge, storm-induced high waves and wave overtopping. Also, localized heavy rainfall events have occurred frequently due to climate change, too. Especially, since coastal urban areas depend heavily on pump and pipe systems, extreme rainfalls that exceed the design capacity of drainage facility result in increasing inland flood damage. Nevertheless, the population in Korea is concentrated in the coastal areas and the value and density of coastal utilization are increasing. In this study, the risk of hybrid disasters in the coastal areas was assessed for safe utilization and value enhancement of coastal areas. The framework of the coastal risk assessment has been adopted from the concept of climate change vulnerability of the IPCC(2001). Coastal Risk Index(CRI) in this study was defined as a function of Exposure and Sensitivity exclude Adaptive Capacity using GIS-based DBs. Indicators of Exposure consisted of a storm surge, storm-induced high waves, wave overtopping and rainfalls. Indicators of Sensitivity consisted of human(population density), property(buildings and roads), and geography(inundation area). All these indicators were gathered from government agencies, numerical model experiments(ADCIRC, unSWAN, FLOW3D and XP-SWMM model), and field surveys(Drone & Lidar survey). And then spatial analysis was performed by using a GIS program after passing the quality control and analyzed data were standardized and classified 4 grades; Attention(blue color), Caution(yellow color), Warning(orange color) and Danger(red color). This frame of risk assessment was first applied to Marine City, Haeundae in Busan, Korea which was heavily damaged by the typhoon CHABA in 2018. According to the assessment results, it was confirmed that the results were in good agreement with the observation data and damage range. At present, the study area of risk assessment is expanding to other areas. The results of coastal risk assessment are used as reference indicators to identify and prevent the cause of coastal disasters, establish countermeasures, determine the development or management of coastal areas based on GIS, thus will contribute to effective and safe coastal management.</p>


Author(s):  
Kevin MacIntosh ◽  
Derek Williamson ◽  
Matthew Armstrong ◽  
Leo Brewster ◽  
Ricardo Arthur

Monitoring of coastal environments is critical to understanding the responses of the natural environment to human interventions. The ability to definitively attribute impacts to a development versus those which are part of the natural variation of a dynamic system is a valuable tool to understanding the successes and failures of coastal zone management planning. The Coastal Zone Management Unit of the Government of Barbados (CZMU) undertook the Coastal Risk Assessment and Management (CRMP) project to define the baseline conditions and risks for the entire coastline of Barbados in order to have this comprehensive database upon which to base future decisions and coastal planning. This paper will focus on three of the nine baseline studies and the unique approaches used, and challenges encountered, along the way.


Author(s):  
Minnu Abraham ◽  
R. S. Mahendra ◽  
Venkata Ravibabu Mandla ◽  
Chaithanya Sudha Merugu ◽  
Veerendra Satya Sylesh Peddinti

2018 ◽  
Vol 134 ◽  
pp. 81-92 ◽  
Author(s):  
Lydia Cumiskey ◽  
Sally Priest ◽  
Nikolay Valchev ◽  
Christophe Viavattene ◽  
Susana Costas ◽  
...  

Author(s):  
Inigo J. Losada ◽  
Cristina Izaguirre ◽  
Fernando J. Mendez ◽  
Sonia Castanedo ◽  
Borja G. Reguero

2015 ◽  
Vol 104 ◽  
pp. 22-35 ◽  
Author(s):  
Guido Benassai ◽  
Gianluigi Di Paola ◽  
Pietro Patrizio Ciro Aucelli

2017 ◽  
Author(s):  
Marc Sanuy ◽  
Enrico Duo ◽  
Wiebke S. Jäger ◽  
Paolo Ciavola ◽  
José A. Jiménez

Abstract. Integrated risk assessment approaches to support coastal managers’ decisions when designing plans are increasingly becoming an urgent need. To enable efficient coastal management, possible present and future scenarios must be included, disaster risk reduction (DRR) measures integrated, and multiple hazards dealt with. In this work, the Bayesian Network approach to coastal risk assessment was applied and tested at two Mediterranean sandy coasts (Tordera Delta in Spain and Lido degli Estensi–Spina in Italy). Process-oriented models are used to predict hazards at the receptor scale based on a large number of storm characteristics. Hazards are converted into impacts through vulnerability relations. A Bayesian Network integrates all results to link forcing characteristics with expected impacts through conditional probabilities. The tool has been proven successful in reproducing current coastal responses at both sites. It has also shown great utility for scenario comparisons, and is able to output significant impact change trends, despite the inherent uncertainties of the approach. This work highlights the advantages of using such a tool for present and future coastal risk assessment and planning.


Sign in / Sign up

Export Citation Format

Share Document