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Big Data of Urban Waterlogging Public Opinion Monitoring and Early Warning Method Detection by Haibo Yang; Youkun Wang; Nasser Jaber is a book available to read on EtoBox.

What is Big Data of Urban Waterlogging Public Opinion Monitoring and Early Warning Method Detection about?

The occurrence of waterlogging disaster has brought great economic losses to the society and brought great threats to the safety of the city, people's lives and the sustainable development of the society. Use big data technology to dynamically monitor urban waterlogging network public opinion, use data mining and other data mining technology, real-time collection of urban waterlogging public opinion data, deeply analyze the evolution trend of public opinion heat, focus on key points and emotional tendency. Taking the sample of the July 16 flood event in Beijing, this paper studies the transmission characteristics of urban waterlogging events and reveals the dynamic mechanism of its development. It is found that there is a significant positive correlation between the high incidence period of urban waterlogging disasters and the heat of public opinion and its impact level on waterlogging events. The social attention to the waterlogging problem mainly focuses on the construction of the drainage system, the progress of the waterlogging disaster and the disaster relief work. The development process of public opinion in urban waterlogging events has gone through five periods: incubation

Author
Haibo Yang; Youkun Wang; Nasser Jaber
Publisher
Springer Nature Singapore Pte Ltd Fka Springer Science + Business Media Singapore Pte Ltd
Published
2023
Language
EN
ISBN
9789811993756
Subjects
Mathematics, Engineering, Science

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