scholarly journals Support for Decision-Making on the Resilience of Incheon Metropolitan City Using Flood Risk Assessment

2021 ◽  
Vol 21 (4) ◽  
pp. 197-210
Author(s):  
Won-joon Wang ◽  
Donghyun Kim ◽  
Younghoon Yoo ◽  
Junhyeong Lee ◽  
Kyung Tak Kim ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Decision Making ◽  
Flood Risk ◽  
Assessment Tool ◽  
Risk Estimation ◽  
Risk Index ◽  
Flood Risk Assessment ◽  
Hazard Exposure ◽  
Metropolitan City ◽  
Risk Indices

Since it was recognized as a UNDRR international safety city in 2020, Incheon Metropolitan City has been promoting policies aiming to strengthen resilience strategies for the next 10 years. For the resilience assessment, a Quick Risk Estimation (QRE), which is a risk assessment tool for various disasters, can also be used to support the decision-making of experts on strengthening resilience strategies. However, QRE is unable to provide a detailed risk assessment of a specific disaster such as flood. Therefore, in this study, a flood risk assessment was performed from 2016 to 2019 using the Indicator Based Approach for the 10 cities and counties in Incheon city. The aforementioned method can also support the decision-making of experts for disaster management alongside QRE results. The flood risk assessment in this study consists of four items (hazard, exposure, vulnerability, and capacity) and 11 detailed indicators. The details for each index, item, and flood risk indices were calculated for each evaluation stage. As of 2019, the flood risk index had been calculated for Ganghwa-gun (county), Michuhol-gu (district), Jung-gu, Seo-gu, and Ongjin-gun, among others. The flood risk assessment conducted in this study is believed to be beneficial for a rational decision-making that can support the strengthening of resilience strategies by identifying changes in city- and county-specific situations and risk-exposed indicators in response to flood risks.

scholarly journals Research Design of Mobile Based Decision Support for Early Flood Warning System

2020 ◽  
Vol 14 (17) ◽  
pp. 130
Author(s):  
Mohd Faizal Omar ◽  
Mohd Nasrun Mohd Nawi ◽  
Jastini Mohd Jamil ◽  
Ani Munirah Mohamad ◽  
Saslina Kamaruddin
Keyword(s):  
Mathematical Model ◽  
Risk Assessment ◽  
Decision Making ◽  
Decision Support ◽  
Research Design ◽  
Flood Risk ◽  
Architectural Design ◽  
Warning System ◽  
Economic Losses ◽  
Flood Risk Assessment

Flooding has become one of the most rapidly growing types of natural disaster that has spread around the globe. It is is one of the major natural hazards in many countries and mostly affected in the low-lying or flood prone areas. In order to minimize loss of life and economic losses, a detailed and comprehensive decision making tool is necessary for both flood control planning and emergency service operations. In this paper, we demonstrate our research design for mobile based decision support of Flood Early Warning System (FEWS). We outlined four research objectives. Firstly, critical criteria for flood risk assessment will be identified and the second step will involve develop measurement model for relative flood risk using Geographic Information System (GIS), Multi Attribute Decision Making (MADM) and data mining technique. In the third objectives, the holistic architectural design is develop by incorporating the communication technology and other related ICT requirements for the mobile decision support. The fourth objective is to validate the mathematical model and architectural design. Case study approach is chosen in order to understand the flood event and validate the decision support model. Following well-defined procedures, flood maps were drawn based on the data collected from expert responses to a questionnaire, the field survey, satellite images, and documents from flood management agencies. It is anticipates that by integrating of mathematical model, GIS and mobile application in flood risk assessment could provide useful detailed information for flood risk management, evacuation, communication. The decision support design from this study is perhaps to improve the warning system and contribute to reduction of casualties.

scholarly journals Process-based flood risk assessment for Germany

2021 ◽  
Author(s):  
Nivedita Sairam ◽  
Fabio Brill ◽  
Tobias Sieg ◽  
Patric Kellermann ◽  
Kai Schröter ◽  
...  
Keyword(s):  
Risk Assessment ◽  
High Resolution ◽  
Flood Risk ◽  
Large Scale ◽  
Systems Approach ◽  
Economic Damage ◽  
Flood Risk Assessment ◽  
Continuous Simulation ◽  
Hazard Exposure ◽  
Risk Estimates

<p>Floods affect people worldwide and account for more than USD 100 billion losses on average every year. Hazard, Exposure and Vulnerability are the three components that influence flood risk. Flood Risk Management (FRM) decisions especially, with respect to new flood defense schemes and resilience initiatives are generally taken based on the assessment of impacts for hazard scenarios. Current large-scale studies are comprehensive in terms of sectors covered in impact assessment. However, these studies often deploy generalized data and methods on the model components resulting in coarse risk estimates with low spatial resolution.</p><p>In this study, we use process-based models with 100m resolution on the national scale within a systems approach to develop and simulate a 5000 year flood event catalogue for Germany. The events are then analyzed per economic sector, including residential, commercial and agriculture sectors. The risk chain includes continuous simulation of high-resolution hazard maps, obtained from coupled hydrology and hydraulic models; NUTS3-level exposure asset values further disaggregated to ATKIS land-use data and calibrated object-level vulnerability models that provide high-resolution quantification of economic damage. Spatial dependence of flood events is addressed by the continuous simulation approach. For each model component in the risk assessment (hazard, exposure and vulnerability), uncertainty in data and methods are integrated into the risk predictions. Based on these simulations, we present a sector-wise flood risk assessment for Germany along with the reliability of the risk estimates. This process-based, systemic flood risk assessment is valuable for policy making, adaptation planning and estimating insurance premiums.</p>

scholarly journals Pluvial Flood Risk Assessment Tool (PFRA) for Rainwater Management and Adaptation to Climate Change in Newly Urbanised Areas

Water ◽  
2018 ◽  
Vol 10 (4) ◽  
pp. 386 ◽  
Author(s):  
Szymon Szewrański ◽  
Jakub Chruściński ◽  
Jan Kazak ◽  
Małgorzata Świąder ◽  
Katarzyna Tokarczyk-Dorociak ◽  
...  
Keyword(s):  
Climate Change ◽  
Risk Assessment ◽  
Flood Risk ◽  
Assessment Tool ◽  
Risk Assessment Tool ◽  
Flood Risk Assessment ◽  
Adaptation To Climate Change ◽  
Rainwater Management

scholarly journals A Flood Risk Assessment Model for Companies and Criteria for Governmental Decision-Making to Minimize Hazards

2017 ◽  
Vol 9 (11) ◽  
pp. 2005 ◽  
Author(s):  
Jieun Ryu ◽  
Eun Joo Yoon ◽  
Chan Park ◽  
Dong Kun Lee ◽  
Seong Woo Jeon
Keyword(s):  
Risk Assessment ◽  
Decision Making ◽  
Flood Risk ◽  
Assessment Model ◽  
Risk Assessment Model ◽  
Flood Risk Assessment

scholarly journals CONCEPT OF TECHNOGENIC RISK MANAGEMENT

2019 ◽  
Vol 96 (8) ◽  
pp. 780-785
Author(s):  
A. A. Antsiferova ◽  
V. A. Demin ◽  
Vladimir F. Demin ◽  
V. Yu. Soloviev
Keyword(s):  
Risk Assessment ◽  
Decision Making ◽  
Risk Management ◽  
Risk Index ◽  
Years Of Life Lost ◽  
Safety Standards ◽  
Specific Risk ◽  
Risk Indices ◽  
Relative Damage ◽  
Hazard Sources

There are proposed conceptual positions and levels of decision-making on provision of the safety, social and medical protection of the human on the base of the assessment, analysis and risk management in different areas of human activity in normal and emergency conditions under the exposure to man-made and some natural hazard sources. At the base of developed applications there is a unified approach to the development and use of modern risk assessment methodology: the elaboration of a common method of the risk assessment and, basing on it, specific and simplified methods for concrete sources of hazard impact. This structure of methodological bases of risk assessment, in its full development makes it more transparent and comparable as well specific methods, as the support of decision-making on protective and other measures from different sources of danger. There were formulated proposals for universal safety standards (SSs) and other levels of decision-making on safety, social and medical protection of the population and staff of hazardous industries, including acceptable levels of risk. For the establishment of SSs and other decision-making levels, a special risk index is used: the relative damage (ratio of years of life lost to a year of stay-at-risk). This index is most appropriate for evaluation, comparison and management of risk, especially in conditions of two or more acting danger sources. On the base of universal SSs there are developed branch main SSs for certain isolated sources of danger. They are expressed in those indices (specific risk indices or impact indices in their different definitions), which by now are widely used in the practice or will be chosen for practical use in the future. In the ensuring human safety in normal conditions, the main use of the risk assessment is the development and support of SSs and other levels of decision-making. In emergencies the specific risk assessment besides to the establishment the decision-making levels is essentially needed to make justified optimal decisions on the measures of social and medical protection of the population and professionals.

scholarly journals Urban micro-scale flood risk estimation with parsimonious hydraulic modelling and census data

2013 ◽  
Vol 13 (5) ◽  
pp. 1375-1391 ◽  
Author(s):  
C. Arrighi ◽  
M. Brugioni ◽  
F. Castelli ◽  
S. Franceschini ◽  
B. Mazzanti
Keyword(s):  
Risk Assessment ◽  
Flood Risk ◽  
Census Data ◽  
Flood Hazard ◽  
Risk Estimation ◽  
Flood Risk Assessment ◽  
Hydraulic Modelling ◽  
Micro Scale ◽  
Estimated Risk ◽  
Risk Maps

Abstract. The adoption of 2007/60/EC Directive requires European countries to implement flood hazard and flood risk maps by the end of 2013. Flood risk is the product of flood hazard, vulnerability and exposure, all three to be estimated with comparable level of accuracy. The route to flood risk assessment is consequently much more than hydraulic modelling of inundation, that is hazard mapping. While hazard maps have already been implemented in many countries, quantitative damage and risk maps are still at a preliminary level. A parsimonious quasi-2-D hydraulic model is here adopted, having many advantages in terms of easy set-up. It is here evaluated as being accurate in flood depth estimation in urban areas with a high-resolution and up-to-date Digital Surface Model (DSM). The accuracy, estimated by comparison with marble-plate records of a historic flood in the city of Florence, is characterized in the downtown's most flooded area by a bias of a very few centimetres and a determination coefficient of 0.73. The average risk is found to be about 14 € m−2 yr−1, corresponding to about 8.3% of residents' income. The spatial distribution of estimated risk highlights a complex interaction between the flood pattern and the building characteristics. As a final example application, the estimated risk values have been used to compare different retrofitting measures. Proceeding through the risk estimation steps, a new micro-scale potential damage assessment method is proposed. This is based on the georeferenced census system as the optimal compromise between spatial detail and open availability of socio-economic data. The results of flood risk assessment at the census section scale resolve most of the risk spatial variability, and they can be easily aggregated to whatever upper scale is needed given that they are geographically defined as contiguous polygons. Damage is calculated through stage–damage curves, starting from census data on building type and function, for the main categories in the study area: structures, household contents and commercial contents. This method is tested in the area of the St. Croce district in Florence, one of the most seriously affected in the famous 1966 flood.

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