scholarly journals Decision‐Making and Flood Risk Uncertainty: Statistical Data Set Analysis for Flood Risk Assessment

2018 ◽  
Vol 54 (10) ◽  
pp. 7291-7308 ◽  
Author(s):  
L. Collet ◽  
L. Beevers ◽  
M. D. Stewart
Keyword(s):  
Risk Assessment ◽  
Decision Making ◽  
Flood Risk ◽  
Statistical Data ◽  
Flood Risk Assessment ◽  
Data Set ◽  
Risk Uncertainty

scholarly journals Building Asset Value Mapping in Support of Flood Risk Assessment: A Case Study of Shanghai, China

2017 ◽  
Author(s):  
Jidong Wu ◽  
Xu Wang ◽  
Elco Koks
Keyword(s):  
Risk Assessment ◽  
Natural Disaster ◽  
Flood Risk ◽  
Statistical Data ◽  
Disaster Risk ◽  
Flood Risk Assessment ◽  
Building Stock ◽  
Floor Area ◽  
Asset Value ◽  
Natural Disaster Risk

Abstract. Exposure is an integral part of any natural disaster risk assessment. As one of the consequences of natural disasters, damage to buildings is one of the most important concerns. As such, estimates of the building stock and the values at risk can assist natural disaster risk management, including determining the damage extent and severity. Unfortunately, only little information about building asset value is readily available in most countries (especially its spatial distributions) including in China, given that the statistical data on building floor area (BFA) is collected by administrative unities in China. In order to bridge the gap between aggregated census statistical buildings floor-area data to geo-coded building asset value data, this article introduces a methodology for a city-scale building asset value mapping using Shanghai as an example. It consists of a census BFA disaggregation (downscaling) by means of a building footprint map extracted from high-resolution remote sensing data and LandScan population density data, and a financial appraisal of building asset values. A validation with statistical data confirms the feasibility of the modelled building storey. The example of the use of the developed building asset value map in exposure assessment of a flood scenario of Shanghai demonstrated that the dataset offers immense analytical flexibility for flood risk assessment. The method used in this paper is transferable to be applied in other cities of China for building asset value mapping.

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 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.

scholarly journals Stochastic generation of spatially coherent river discharge peaks for large-scale, event-based flood risk assessment

2018 ◽  
Author(s):  
Dirk Diederen ◽  
Ye Liu ◽  
Ben Gouldby ◽  
Ferdinand Diermanse ◽  
Sergiy Vorogushyn
Keyword(s):  
Risk Assessment ◽  
Flood Risk ◽  
River Discharge ◽  
Large Scale ◽  
Time Window ◽  
Insurance Industry ◽  
Flood Risk Assessment ◽  
Data Set ◽  
Discharge Data ◽  
Short Time Window

Abstract. Flood risk assessments are required for long-term planning, e.g. for investments in infrastructure and other urban capital. Vorogushyn et al. (2018) call for new methods in large-scale Flood Risk Assessment (FRA) to enable the capturing of system interactions and feedbacks. With the increase of computational power, large-scale, continental FRAs have recently become feasible (Ward et al., 2013; Alfieri et al., 2014; Dottori et al., 2016; Vousdoukas, 2016; Winsemius et al., 2016; Paprotny et al., 2017). Flood events cause large damages worldwide (Desai et al., 2015). Moreover, widespread flooding can potentially cause large damage in a short time window. Therefore, large-scale (e.g. pan-European) events and for instance maximum probable damages are of interest, in particular for the (re)insurance industry, because they want to know the chance of their widespread portfolio of assets getting affected by large-scale events (Jongman et al., 2014). Using a pan-European data set of modelled, gridded river discharge data, we tracked discharge waves in all major European river basins. We synthetically generated a large catalogue of synthetic, pan-European events, consisting of spatially coherent discharge peak sets.

Flood Risk Assessment and Forecasting for the Ganges-Brahmaputra-Meghna River Basins

10.1596/28574 ◽  
2017 ◽  
Author(s):  
Satya Priya ◽  
William Young ◽  
Thomas Hopson ◽  
Ankit Avasthi
Keyword(s):  
Risk Assessment ◽  
Flood Risk ◽  
River Basins ◽  
Flood Risk Assessment ◽  
The Ganges
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