《重大事故緊急預警決策的分析和最佳化模型(英文版)》是2018年11月科學出版社出版的圖書,作者是Wenmei Gai,Yan Du,Yunfeng Deng。
基本介紹
- 中文名:重大事故緊急預警決策的分析和最佳化模型(英文版)
- 作者:Wenmei Gai,Yan Du,Yunfeng Deng
- 出版社:科學出版社
- 出版時間:2018年11月
- ISBN:9787030593467
內容簡介,圖書目錄,
內容簡介
《重大事故緊急預警決策的分析和最佳化模式(英文版)》highlights cutting-edge research into emergency early warning managementand decision-making for severe accidents. Using toxic gas leakages as examples, it putsforward new design methods for emergency early warning systems, as well as a sys-tematic description of emergency early warning information communication mecha-nisms and characteristics of regional evacuation, based on a wide range of theories,including safety engineering, information engineering, communication, behaviorologyand others. The book applies a range of methods, such as case analysis, question-naire interviews, and multi-objective optimization modeling. Drawing on this basis,it subsequently proposes a multi-objective optimization modeling and algorithmfor emergency path selection, together with an evacuation risk assessment method.Divided into six chapters, the book addresses the design of early warning systems,communication and dissemination mechanisms of early warning information, charac-teristics of regional evacuation, multi-objective optimization of emergency paths, andevacuation risk assessment. The book offers an essential reference guide for engineeringtechnicians and researchers in a wide range of fields, including emergency manage-ment, safety science and engineering, disaster relief engineering, and transportationoptimization, as well as graduate students in related majors at colleges and universities.
圖書目錄
1 Introduction
2 Emergency Warning System for Major Accidents
3 Communication and Diffusion of Emergency Warning
4 Regional Evacuation Modeling for Toxic Cloud Releases and Its Application in Strategy Assessment of Evacuation Warning
5 Multi-objective Route Planning Model and Algorithm for Emergency Management
6 Evacuation Risk Assessment of Regional Evacuation for Major Accidents and Its Application in Emergency Planning