scholarly journals Integrated Flood Risk Assessment System Based on the Set Pair Analysis and Variable Fuzzy Sets for Cascade Dams

2021 ◽  
Author(s):  
Yu Chen
Keyword(s):  
Risk Assessment ◽  
Fuzzy Sets ◽  
Flood Risk ◽  
Dam Break ◽  
Assessment System ◽  
Set Pair Analysis ◽  
Flood Risk Assessment ◽  
Cascade Dams ◽  
Pair Analysis ◽  
Variable Fuzzy Sets

Flood-caused dam break is an important dam safety problem. Dam flood risk assessment based on an appropriate assessing method is hence essential for reducing dam-break flood damages and losses. In this research, a comprehensive flood risk assessment system for cascade dams was developed by combining the set pair analysis (SPA) and variable fuzzy sets (VFS) theory (namely SPA-VFS for short), and expressing the flood risk as a product of hazard and vulnerability, which were quantified by selected indicators. In the case study of the Dadu river basin, reservoir capacity, dam height, dam age, gross domestic product (GDP) density, population density, and predicted damage were selected as the evaluation indicators, and the evaluation results derived the flood risk classes of each studied dam. The study indicates that the proposed SPA-VFS-based flood risk assessment model is simple and feasible, which enables its further application in flood risk analysis and evaluation, and its extension in the risk assessment of other natural disasters.

A New Risk Assessment System Based on Set Pair Analysis – Variable Fuzzy Sets for Underground Reservoirs

2019 ◽  
Vol 33 (15) ◽  
pp. 4997-5014 ◽  
Author(s):  
Min Li ◽  
Tianyuan Zheng ◽  
Jian Zhang ◽  
Yunhai Fang ◽  
Jiang Liu ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Fuzzy Sets ◽  
Assessment System ◽  
Set Pair Analysis ◽  
Pair Analysis ◽  
Underground Reservoirs ◽  
Variable Fuzzy Sets

scholarly journals A Case Study of Flood Risk Evaluation Based on Emergy Theory and Cloud Model in Anyang Region, China

Water ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 420
Author(s):  
Zening Wu ◽  
Yuhai Cui ◽  
Yuan Guo
Keyword(s):  
Risk Assessment ◽  
Flood Risk ◽  
Flood Control ◽  
Flood Hazard ◽  
Cloud Model ◽  
Flood Disaster ◽  
Assessment System ◽  
Assessment Model ◽  
Flood Risk Assessment ◽  
Emergy Theory

With the progression of climate change, the intensity and frequency of extreme rainfall have increased in many parts of the world, while the continuous acceleration of urbanization has made cities more vulnerable to floods. In order to effectively estimate and assess the risks brought by flood disasters, this paper proposes a regional flood disaster risk assessment model combining emergy theory and the cloud model. The emergy theory can measure many kinds of hazardous factor and convert them into unified solar emergy (sej) for quantification. The cloud model can transform the uncertainty in flood risk assessment into certainty in an appropriate way, making the urban flood risk assessment more accurate and effective. In this study, the flood risk assessment model combines the advantages of the two research methods to establish a natural and social dual flood risk assessment system. Based on this, the risk assessment system of the flood hazard cloud model is established. This model was used in a flood disaster risk assessment, and the risk level was divided into five levels: very low risk, low risk, medium risk, high risk, and very high risk. Flood hazard risk results were obtained by using the entropy weight method and fuzzy transformation method. As an example for the application of this model, this paper focuses on the Anyang region which has a typical continental monsoon climate. The results show that the Anyang region has a serious flood disaster threat. Within this region, Linzhou County and Anyang County have very high levels of risk for flood disaster, while Hua County, Neihuang County, Wenfeng District and Beiguan District have high levels of risk for flood disaster. These areas are the core urban areas and the economic center of local administrative regions, with 70% of the industrial clusters being situated in these regions. Only with the coordinated development of regional flood control planning, economy, and population, and reductions in the uncertainty of existing flood control and drainage facilities can the sustainable, healthy and stable development of the region be maintained.

scholarly journals Fuzzy approach to analysis of flood risk based on variable fuzzy sets and improved information diffusion methods

2013 ◽  
Vol 13 (2) ◽  
pp. 239-249 ◽  
Author(s):  
Q. Li
Keyword(s):  
Risk Assessment ◽  
Fuzzy Sets ◽  
Flood Risk ◽  
Incomplete Data ◽  
Information Diffusion ◽  
Fuzzy Model ◽  
Diffusion Method ◽  
Data Sets ◽  
Consistent System ◽  
Variable Fuzzy Sets

Abstract. The predictive analysis of natural disasters and their consequences is challenging because of uncertainties and incomplete data. The present article studies the use of variable fuzzy sets (VFS) and improved information diffusion method (IIDM) to construct a composite method. The proposed method aims to integrate multiple factors and quantification of uncertainties within a consistent system for catastrophic risk assessment. The fuzzy methodology is proposed in the area of flood disaster risk assessment to improve probability estimation. The purpose of the current study is to establish a fuzzy model to evaluate flood risk with incomplete data sets. The results of the example indicate that the methodology is effective and practical; thus, it has the potential to forecast the flood risk in flood risk management.

scholarly journals Dam Break Flood Risk Assessment for Laiyang City

2014 ◽  
Vol 2 (4) ◽  
Author(s):  
Li Changzhi ◽  
Wang Hong ◽  
Chi Zhixue ◽  
Yang Yongfeng ◽  
Rao Zhengfu ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Flood Risk ◽  
Dam Break ◽  
Flood Risk Assessment

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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