Research on emergency management of urban waterlogging based on similarity fusion of multi-source heterogeneous data

Xiao, Huimin; Wang, Liu; Cui, Chunsheng

doi:10.1371/journal.pone.0270925

Cited by 5 publications

(3 citation statements)

References 41 publications

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“…The general working process is as follows: (1) understanding intention; (2) setting goals; (3) investigation and analysis; (4) construction strategy; (5) selection of programs; (6) coordinating the relationship; and (7) realize the idea. The WSR methodology has been widely applied in the areas of energy and sustainability (37), climate catastrophe (38), and the development of software projects (39). Due to its systematic characteristics, it is particularly prominent in the field of risk research, which needs multi-agent collaboration.…”

Section: Methodology Methodsmentioning

confidence: 99%

Analysis of network public opinion on COVID-19 epidemic based on the WSR theory

Yang

Zhu

et al. 2023

Front. Public Health

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ObjectiveTo obtain the influencing factors of public opinion reactions and to construct a basic framework of the factors causing the occurrence of online public opinion in the epidemic area.MethodsThe hot news comments on microblogs during the epidemic in Shanghai were collected and analyzed with qualitative analysis, grounded theory, and the “Wuli-Shili-Renli” (WSR) methodology as an auxiliary method.Results(1) Three core categories of the Wuli system, the Shili system, and the Renli system, 15 main categories, and 86 categories that influence the development of network public opinion are obtained. (2) WSR Elements Framework Of Network Public Opinion (WSR-EFONPO) is established. (3) The WSR-EFONPO is explained.ConclusionThe framework of factors for the occurrence of network public opinion is proposed, and the development process of network public opinion under COVID-19 is sorted out, which is of great theoretical value in guiding the public in the epidemic area to form reasonable behavior.

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Section: Methodology Methodsmentioning

confidence: 99%

Analysis of network public opinion on COVID-19 epidemic based on the WSR theory

Yang

Zhu

et al. 2023

Front. Public Health

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“…The specific description of the accident is used as an attribute, where each attribute value is unique for every case [ 35 ]. Attributes of an accident can be extracted to describe the case in multiple dimensions.…”

Section: Methodsmentioning

confidence: 99%

Knowledge graph and CBR-based approach for automated analysis of bridge operational accidents: Case representation and retrieval

Xu,

Wei,

Cai

et al. 2023

PLoS ONE

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Bridge operational accident analysis is a critical process in bridge operational risk management. It provides valuable knowledge support for responding to newly occurring accidents. However, there are three issues: (1) research specifically focused on the past bridge operational accidents is relatively scarce; (2) there is a lack of mature research findings regarding the bridge operational accidents knowledge representation; and (3) in similar case retrieval, while case-based reasoning (CBR) is a valuable approach, there are still some challenges and limitations associated with its usage. To tackle these problems, this research proposed an automated analysis approach for bridge operational accidents based on a knowledge graph and CBR. The approach includes case representation and case retrieval, leveraging advancements in computer science and artificial intelligence. In the proposed approach, the case representation involves the adoption of a knowledge graph to construct multi-dimensional networks. The knowledge graph captures the relationships between various factors and entities, allowing for a comprehensive representation of accidents domain knowledge. In the case retrieval, a multi-circle layer retrieval strategy was innovatively proposed to enhance retrieval efficiency. Three target cases were randomly selected to verify the validity of the proposed methodology. The combination of a knowledge graph and CBR can indeed provide useful tools for the automated analysis of bridge operational accidents. Additionally, the proposed methodology can serve as a reference for intelligent risk management in other types of infrastructures.

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“…A novel emergency decision model based on a similarity algorithm for case inference is created and validated using the emergency case of urban waterlogging. It is proved that the model has a high degree of adaptability and can provide a good reference to assist the decision making for disaster incidents [20]. Li et al combined multi-source data fusion and neural network modeling to build a prediction model.…”

Section: Introductionmentioning

confidence: 99%

Multi-Source Data Fusion and Hydrodynamics for Urban Waterlogging Risk Identification

Zhang

Zeng

Huang

et al. 2023

IJERPH

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The complex formation mechanism and numerous influencing factors of urban waterlogging disasters make the identification of their risk an essential matter. This paper proposes a framework for identifying urban waterlogging risk that combines multi-source data fusion with hydrodynamics (MDF-H). The framework consists of a source data layer, a model parameter layer, and a calculation layer. Using multi-source data fusion technology, we processed urban meteorological information, geographic information, and municipal engineering information in a unified computation-oriented manner to form a deep fusion of a globalized multi-data layer. In conjunction with the hydrological analysis results, the irregular sub-catchment regions are divided and utilized as calculating containers for the localized runoff yield and flow concentration. Four categories of source data, meteorological data, topographic data, urban underlying surface data, and municipal and traffic data, with a total of 12 factors, are considered the model input variables to define a real-time and comprehensive runoff coefficient. The computational layer consists of three calculating levels: total study area, sub-catchment, and grid. The surface runoff inter-regional connectivity is realized at all levels of the urban road network when combined with hydrodynamic theory. A two-level drainage capacity assessment model is proposed based on the drainage pipe volume density. The final result is the extent and depth of waterlogging in the study area, and a real-time waterlogging distribution map is formed. It demonstrates a mathematical study and an effective simulation of the horizontal transition of rainfall into the surface runoff in a large-scale urban area. The proposed method was validated by the sudden rainstorm event in Futian District, Shenzhen, on 11 April 2019. The average accuracy for identifying waterlogging depth was greater than 95%. The MDF-H framework has the advantages of precise prediction, rapid calculation speed, and wide applicability to large-scale regions.

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Research on emergency management of urban waterlogging based on similarity fusion of multi-source heterogeneous data

Cited by 5 publications

References 41 publications

Analysis of network public opinion on COVID-19 epidemic based on the WSR theory

Analysis of network public opinion on COVID-19 epidemic based on the WSR theory

Knowledge graph and CBR-based approach for automated analysis of bridge operational accidents: Case representation and retrieval

Multi-Source Data Fusion and Hydrodynamics for Urban Waterlogging Risk Identification

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