Uncertainty Multi-source Information Fusion for Intelligent Flood Risk Analysis Based on Random Set Theory

Xie, Yajuan; Yi, Shanzhen; Tang, Zhongqian; Ye, Dengpan

doi:10.1080/18756891.2012.733237

Cited by 6 publications

(3 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this study, a multiple index system was constructed to assess the flood risk in Wuhan during 2000-2018. Many previous studies evaluated the flood risk and estimated socio-economic losses based on social media data, with a combination of mobility patterns and multi-source data [49][50][51]. In contrast, this study assessed flood risk on the basis of climatic data, natural physical data, land use data, and socio-economic data.…”

Section: Discussionmentioning

confidence: 99%

Flood Risk Assessment under Land Use and Climate Change in Wuhan City of the Yangtze River Basin, China

Song

Lü

2021

Land

View full text Add to dashboard Cite

Frequently occurring flood disasters caused by extreme climate and urbanization processes have become the most common natural hazard and pose a great threat to human society. Therefore, urban flood risk assessment is of great significance for disaster mitigation and prevention. In this paper, the analytic hierarchy process (AHP) was applied to quantify the spatiotemporal variations in flood risk in Wuhan during 2000–2018. A comprehensive flood risk assessment index system was constructed from the hazard, sensitivity, and vulnerability components with seven indices. The results showed that the central urban area, especially the area in the west bank of the Yangtze river, had high risk due to its high flood sensitivity that was determined by land use type and high vulnerability with dense population and per unit GDP. Specifically, the Jianghan, Qiaokou, Jiangan, and Wuchang districts had the highest flood risk, more than 60% of whose area was in medium or above-medium risk regions. During 2000–2018, the flood risk overall showed an increasing trend, with Hongshan district increasing the most, and the year of 2010 was identified as a turning point for rapid risk increase. In addition, the comparison between the risk maps and actual historical inundation point records showed good agreement, indicating that the assessment framework and method proposed in this study can be useful to assist flood mitigation and management, and relevant policy recommendations were proposed based on the assessment results.

show abstract

Section: Discussionmentioning

confidence: 99%

Flood Risk Assessment under Land Use and Climate Change in Wuhan City of the Yangtze River Basin, China

Song

Lü

2021

Land

View full text Add to dashboard Cite

show abstract

“…Subsequently, many decision-making cases based on multi-source data have emerged. Using the rough set theory and integral operator information model, Xie et al ( 2012 ) accurately estimated the probability of a flood risk by analyzing the characteristics of multi-source information. Liu et al ( 2021a ) proposed a deep multilayer fusion network that can fuse high-resolution RGB images, hyperspectral images, point cloud data, etc.…”

Section: New Technologies Applied In Idpmimentioning

confidence: 99%

Digital twin-driven intelligence disaster prevention and mitigation for infrastructure: advances, challenges, and opportunities

Dong

2022

Nat Hazards

View full text Add to dashboard Cite

Natural hazards, which have the potential to cause catastrophic damage and loss to infrastructure, have increased significantly in recent decades. Thus, the construction demand for disaster prevention and mitigation for infrastructure (DPMI) systems is increasing. Many studies have applied intelligence technologies to solve key aspects of infrastructure, such as design, construction, disaster prevention and mitigation, and rescue and recovery; however, systematic construction is still lacking. Digital twin (DT) is one of the most promising technologies for multi-stage management which has great potential to solve the above challenges. This paper initially puts forward a scientific concept, in which DT drives the construction of intelligent disaster prevention and mitigation for infrastructure (IDPMI) systematically. To begin with, a scientific review of DT and IDPMI is performed, where the development of DT is summarized and a DT-based life cycle of infrastructures is defined. In addition, the intelligence technologies used in disaster management are key reviewed and their relative merits are illustrated. Furthermore, the development and technical feasibility of DT-driven IDPMI are illustrated by reviewing the relevant practice of DT in infrastructure. In conclusion, a scientific framework of DT-IDPMI is programmed, which not only provides some guidance for the deep integration between DT and IDPMI but also identifies the challenges that inspire the professional community to advance these techniques to address them in future research.

show abstract

“…In this case, multisource information fusion is introduced to propose a new prediction method, which ensures the prediction accuracy while realizing dynamic prediction of gas emission quantity in combination with the actual case of gas emission in the excavation working faces [5][6][7]. This makes prediction more targeted, time-valid and reliable, in turn meeting the demand for high yield and efficiency mine construction in modern times.…”

Section: Introductionmentioning

confidence: 99%

Research of Risk Evaluation Model for CBM Development Based on Multi-Information Fusion

Zhang¹,

Yang²

2015

TOEFJ

View full text Add to dashboard Cite

CBM development is a major concern in national energy projects. With high investment, high risks and high yield, CBM enables many investors generate the project plans while expressing concerns at the same time regarding the risks. Focusing on the development of risk assessment model in CBM development and applications, this paper proposes the CBM development risk assessment model of multi-information fusion, describing in detail the composite structure and application methods of the model, and eventually proves the model feasibility and significance by practical instances.

show abstract

Uncertainty Multi-source Information Fusion for Intelligent Flood Risk Analysis Based on Random Set Theory

Cited by 6 publications

References 29 publications

Flood Risk Assessment under Land Use and Climate Change in Wuhan City of the Yangtze River Basin, China

Flood Risk Assessment under Land Use and Climate Change in Wuhan City of the Yangtze River Basin, China

Digital twin-driven intelligence disaster prevention and mitigation for infrastructure: advances, challenges, and opportunities

Research of Risk Evaluation Model for CBM Development Based on Multi-Information Fusion

Contact Info

Product

Resources

About