A review on flood risk assessment using multicriteria decision making technique

2021 ◽  
Author(s):  
Shuaibu Abdulrahman ◽  
Joash Bwambale
Keyword(s):  
Risk Assessment ◽  
Decision Making ◽  
Flood Risk ◽  
Multicriteria Decision Making ◽  
Flood Risk Assessment ◽  
Multicriteria Decision

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.

Software obsolescence risk assessment approach using multicriteria decision-making

2018 ◽  
Vol 21 (5) ◽  
pp. 455-465 ◽  
Author(s):  
Ted F. Bowlds ◽  
John M. Fossaceca ◽  
Ronald Iammartino
Keyword(s):  
Risk Assessment ◽  
Decision Making ◽  
Multicriteria Decision Making ◽  
Multicriteria Decision ◽  
Assessment Approach

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 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.

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