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Natural Disasters and Risk Management in Canada: An Introduction 2018 ed. [Hardback]

  • Formāts: Hardback, 366 pages, height x width: 235x155 mm, weight: 911 g, 140 Illustrations, color; 72 Illustrations, black and white; XIX, 366 p. 212 illus., 140 illus. in color., 1 Hardback
  • Sērija : Advances in Natural and Technological Hazards Research 49
  • Izdošanas datums: 10-Apr-2018
  • Izdevniecība: Springer
  • ISBN-10: 9402412816
  • ISBN-13: 9789402412819
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Natural Disasters and Risk Management in Canada: An Introduction 2018 ed.Palielināt
  • Formāts: Hardback, 366 pages, height x width: 235x155 mm, weight: 911 g, 140 Illustrations, color; 72 Illustrations, black and white; XIX, 366 p. 212 illus., 140 illus. in color., 1 Hardback
  • Sērija : Advances in Natural and Technological Hazards Research 49
  • Izdošanas datums: 10-Apr-2018
  • Izdevniecība: Springer
  • ISBN-10: 9402412816
  • ISBN-13: 9789402412819
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9789402412819.html
Keywords:
These chapters provide valuable and comprehensive information on a variety of hazards, including both scientific and social aspects of disasters. The work introduces the concept of large, medium and small scale hazards, and includes many useful case studies as well as working examples of theoretical concepts.

As readers will acknowledge, today the distinction between natural and technological hazards is becoming blurred and a new concept of NATECH hazards is evolving. For permanent hazards (such as tides, wind waves, coastal erosion and climate change) routine predictions are made, whereas for evanescent hazards (including droughts, sea level rise, and coastal subsidence), monitoring of various parameters is the norm. Only for episodic hazards (for example hurricanes, winter storms, tsunamis, and river floods), early warning systems are used, with varying degrees of success.

The book explores how, for certain episodic hazards like tornadoes, landslides, forest fires, snow avalanches, and volcanic eruptions, the early warning systems are still in various stages of development. Readers will gain knowledge of theoretical and practical concepts of risk evaluation which assist in better understanding of disaster dynamics, and readers will become better equipped in quantification of disaster risk and vulnerability. The author explains how risk reduction initiatives, taking into account stakeholders’ participation and perception, can provide a roadmap to building resilient communities and cities.

This book will be useful not only to practitioners of disaster management but also to research scholars and graduate students. It is highly readable and will appeal more broadly too, to all those who are interested in the very latest thinking on, and expert analysis of, hazards and disasters.
1 Denning Natural Hazards - Large Scale Hazards
1(40)
1.1 Definitions of Selected Large Scale Natural Hazards
1(1)
1.2 Biophysical (health) Hazards
2(4)
1.2.1 Epidemic
3(1)
1.2.2 Pandemic
3(3)
1.3 Drought
6(3)
1.4 Earthquake
9(5)
1.4.1 Earthquake Measurement and Monitoring
10(1)
1.4.2 Earthquake Zones in Eastern Canada
11(1)
1.4.3 Potential Impacts
12(2)
1.5 Extreme Weather - Heat Wave and Cold Wave
14(3)
1.5.1 Heat Wave
14(2)
1.5.2 Cold Wave
16(1)
1.6 Floods
17(6)
1.6.1 Case Study - Toronto, Canada
18(4)
1.6.2 Case Study - Flood Risk and Urbanization of London, Ontario
22(1)
1.7 Forest Fire/Wildfire
23(1)
1.8 Ice Storm
24(8)
1.8.1 Case Study - Urban Impacts of Ice Storm of December 2013, Toronto, Canada
25(7)
1.9 Hurricane
32(6)
1.9.1 Hurricane Return Periods
33(1)
1.9.2 Hurricane Intensity
33(4)
1.9.3 Case Study - Hurricane Hazel - Toronto, Canada
37(1)
1.9.4 Case Study - Hurricane Sandy, New York, USA
37(1)
1.10 Exercise
38(3)
References
38(3)
2 Defining Natural Hazards - Medium and Small Scale Hazards
41(40)
2.1 Medium Scale Hazards
41(27)
2.1.1 Erosion
41(1)
2.1.2 Landslide
42(8)
2.1.3 Snowstorm/Blizzard
50(3)
2.1.4 Subsidence and Sinkhole
53(2)
2.1.5 Tornado
55(7)
2.1.6 Windstorm
62(6)
2.2 Small Scale Hazards
68(13)
2.2.1 Extraterrestrial Hazard
68(5)
2.2.2 Fog
73(1)
2.2.3 Geomagnetic Storm
73(1)
2.2.4 Hail Storm
74(2)
2.2.5 Lightning
76(2)
2.2.6 Exercise
78(1)
References
78(3)
3 Disaster Risk Management
81(66)
3.1 Disasters
81(1)
3.2 Risk
82(2)
3.3 Disaster Risk Management - Key Elements
84(1)
3.4 Threat Recognition
84(1)
3.5 Risk Analysis and Assessment
85(6)
3.5.1 Case Study - A Multi-tier Hazard in Northern India in 2013
86(5)
3.6 Risk Control Options
91(14)
3.6.1 Case Study - London, Canada
92(3)
3.6.2 Case Study - Red River Basin, Manitoba, Canada
95(10)
3.7 Strategic Planning
105(6)
3.7.1 Case Study - The 2004 Indian Ocean Tsunami
109(2)
3.8 Response, Recovery, Reconstruction, and Rehabilitation
111(15)
3.8.1 Case of Vertical Evacuation Shelters in India
112(5)
3.8.2 Case Discussion - California
117(1)
3.8.3 Case of Nepal - Post-earthquake Reconstruction
118(1)
3.8.4 Case of Indian Ocean Tsunami 2004 - India
119(7)
3.9 Knowledge Management and Sustainable Development
126(15)
3.9.1 Case of Canadian Coasts - Arctic, Western, and Eastern
127(4)
3.9.2 Case of Climate Change and Sunspots in Canada
131(2)
3.9.3 Case Study - Propane Explosion in Toronto, Canada
133(8)
3.10 Exercise
141(6)
References
141(6)
4 Disaster Resilience
147(46)
4.1 Resilience
147(5)
4.2 Community Resilience
152(13)
4.2.1 Case Study Based on Events in Canada, Japan and New Zealand
154(3)
4.2.2 Case Study Based on a Women's Group in Toronto, Canada
157(3)
4.2.3 Case Study Based on Women's Training Group in Pakistan
160(5)
4.3 Resilience of the Built Environment
165(2)
4.4 Decision Support Tool For Estimating Resilience
167(6)
4.4.1 Data Requirement
168(5)
4.5 A New and Comprehensive Approach to Evaluate Resilience
173(13)
4.5.1 A Canadian Case Study to Demonstrate the Approach
174(10)
4.5.2 Findings - Resilience Maps
184(2)
4.6 Exercise
186(7)
References
187(6)
5 Disaster Perceptions
193(26)
5.1 Perception of Risk
193(7)
5.1.1 Media's Influence on Risk Perception
200(1)
5.2 Perception of Vulnerability
200(2)
5.3 Perception of People
202(6)
5.3.1 Case Studies
205(3)
5.4 Perspectives of Emergency Managers
208(6)
5.4.1 Highlights of the Findings
210(4)
5.5 Exercise
214(5)
References
214(5)
6 Disaster Risk Evaluation - Quantitative Methods in Canada
219(52)
6.1 Hazard Identification and Risk Assessment Method
219(7)
6.1.1 Purpose
220(1)
6.1.2 Scope
220(1)
6.1.3 Structure of the HIRA Process (Fig. 6.1)
221(3)
6.1.4 Application of HIRA for Hazards in Ontario, Canada
224(2)
6.2 Hazard Risk and Vulnerability Assessment Tool
226(27)
6.2.1 Purpose
228(2)
6.2.2 Objective
230(1)
6.2.3 Steps Required for HRVA
230(3)
6.2.4 Understanding Hazards
233(1)
6.2.5 Identification of Vulnerabilities
233(3)
6.2.6 Impact Assessment and Ranking
236(2)
6.2.7 Case Studies on the Application of the HRVA
238(15)
6.3 All Hazards Risk Assessment Method
253(15)
6.3.1 Purpose
253(1)
6.3.2 Overview of the AHRA Process
254(1)
6.3.3 AHRA Business Cycle (Fig. 6.19)
254(14)
6.4 Exercise
268(3)
References
268(3)
7 Disaster Risk Evaluation - Other Quantitative Methods
271(24)
7.1 Federal Emergency Management Agency Method
271(7)
7.1.1 Timing and Duration of Disruption
273(1)
7.1.2 Conducting the BIA
274(2)
7.1.3 Resources Required to Supporting Recovery Strategies
276(1)
7.1.4 Testing & Exercises
277(1)
7.2 SMUG Model
278(6)
7.2.1 Seriousness
278(1)
7.2.2 Manageability
279(1)
7.2.3 Urgency
279(1)
7.2.4 Growth
279(1)
7.2.5 Application of the SMUG Model
279(2)
7.2.6 Challenges in Prioritizing Hazards
281(1)
7.2.7 Case Study: Risk Profile for Chatham Islands
282(2)
7.3 World Risk Index Tool
284(1)
7.4 Role and Assessment of Return Period
285(6)
7.4.1 Working Exercise to Calculate Return Period
288(3)
7.5 Exercise
291(4)
References
292(3)
8 Disaster Risk Evaluation - Qualitative Methods
295(22)
8.1 Pressure and Release (PAR) Model
295(4)
8.1.1 Application of Pressure and Release (PAR) Model to the Case of Hurricane Katrina
296(1)
8.1.2 Application of PAR Model to the 2008 Sichuan, China Earthquake
297(2)
8.2 Access to Resources (ATR) Model
299(7)
8.2.1 Application of Access to Resources Model to the Case of Hurricane Katrina
305(1)
8.3 Community Perception Model
306(7)
8.3.1 Application of Community Perception Model
309(3)
8.3.2 Comparison of Community Perception Model with Conventional Approach
312(1)
8.4 Risk Aversion Concept
313(1)
8.5 Exercise
314(3)
References
314(3)
Appendices 317(28)
Glossary and Definitions of Terms 345(10)
Learning Objectives 355(2)
Index 357
Dr. Nirupama Agrawal is an Associate Professor of Disaster & Emergency Management Program at York University, Canada. She has a PhD in Water Resources Engineering from Kyoto University, Japan. She specializes in disaster risk management, natural hazards multi-criteria decision support systems, and application of GIS and remote sensing techniques to disaster management. Prior to this book, she has contributed to a co-edited book, Indian Ocean Tsunami by Taylor & Francis; a co-authored book, Tsunami Travel Time Atlas for the Atlantic Ocean by York University; and a Special Issue on Sociological Aspects of Natural Hazards by Springer. She contributed to numerous book chapters and refereed publications in various journals and refereed proceedings. In addition to supervising and advising graduate students, Dr. Agrawal has been an active community member working with organizations such as the Council of Agencies Serving South Asians and the South Asian Women Centre. She is astaunch believer in peoples participation in resilience and capacity building. She has worked with UK based Academic Network for Disaster Resilience to Optimise Educational Development (ANDROID) and International Institute for Infrastructure Renewal and Reconstruction (IIIRR), Canada.