Unconventional Emergency Management Research



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Éditeur :

Springer


Paru le : 2024-03-20



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Description

This book mainly introduces the research overview, research results and follow-up prospects of “Unconventional Emergency Management Research”, a major research plan of National Natural Science Foundation of China (hereinafter referred to as the Plan). The Plan has carried out innovative research around major strategic fields and directions on emergency management. A total of 121 projects were funded by the Plan, including 92 Fostering Projects, 25 Key Projects and 4 Integrated Projects, with a total funding of 120 million RMB. From the perspective of major national needs and scientific discipline development, the book focuses on three key scientific issues: information processing and evolution modeling of unconventional emergencies, emergency decision-making theory of unconventional emergencies, and psychological and behavioral response laws of individuals and groups in emergency situations. The publication of this book aims to provide more powerful support for the research and exploration in public security and emergency management.

Pages
257 pages
Collection
n.c
Parution
2024-03-20
Marque
Springer
EAN papier
9789819967971
EAN PDF
9789819967988

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
25
Taille du fichier
9329 Ko
Prix
168,79 €
EAN EPUB
9789819967988

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
25
Taille du fichier
48456 Ko
Prix
168,79 €

Prof. FAN Weicheng is an expert in Fire Safety Science and Engineering and an Academician of the Chinese Academy of Engineering. Prof. FAN graduated from the Department of Thermal Science and Energy Engineering of University of Science and Technology of China (USTC) in 1965. He is head of the Tsinghua University-Hefei Public Safety Research Institute. He is the founder of fire science research initiative in China and is a well known scholar in this field. His main research fields cover public safety risk assessment, monitoring and supervision, prediction and early warning, and decision-making support, including the theories and technologies of emergency management, fire dynamics and prevention technology.

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