Integrating Disaster Science and Management: Global Case Studies in Mitigation and Recovery 0128120568, 9780128120569

Table of contents :
Front-matter_2018_Integrating-Disaster-Science-and-Management
Copyright_2018_Integrating-Disaster-Science-and-Management
Dedication_2018_Integrating-Disaster-Science-and-Management
List-of-Contributors_2018_Integrating-Disaster-Science-and-Management
Introduction_2018_Integrating-Disaster-Science-and-Management
Chapter-1---A-Risk-Index-for-Mitigating-Earth_2018_Integrating-Disaster-Scie
Chapter 1 - A Risk Index for Mitigating Earthquake Damage in Urban Structures
1.1 - INTRODUCTION
1.2 - FAULT-TREE ANALYSIS
1.3 - METHODOLOGY
1.4 - CASE STUDY
1.5 - RESULTS
1.6 - SUMMARY
References
Chapter-2---Importance-of-Geological-Studies-_2018_Integrating-Disaster-Scie
Chapter 2 - Importance of Geological Studies in Earthquake Hazard Assessment
2.1 INTRODUCTION
2.2 IDENTIFICATION OF SUSPECTED ACTIVE FAULTS
2.2.1 Delineation of Lineaments
2.2.2 Regional Geomorphic Analysis
2.2.3 Geomorphic Indices
2.2.4 Active Fault Identification in Peninsular India
2.3 READING PAST SEISMIC EVENTS FROM GEOLOGICAL RECORDS
2.3.1 Timing of the Events
2.4. ON FAULT STUDIES
2.4.1 Studies from Sedimentary Terrains
2.4.2 Studies in the Central Seismic Gap of the Himalayas
2.4.3 Fault Studies from Crystalline Rocks
2.4.4 Studies in Desamangalam Fault
2.5 OFF FAULT FEATURES
2.5.1 Liquefaction and Related Soft Sedimentary Deformations
2.5.2 Studies in Gangetic Plains
2.6 LOCAL SITE CONDITIONS
2.6.1 Chandigarh Microzonation Studies
2.7 SUMMARY
References
Chapter-3---Assessment-of-Soil-Liquefaction-Based-o_2018_Integrating-Disaste
Chapter 3 - Assessment of Soil Liquefaction Based on Capacity Energy Concept and Back-Propagation Neural Networks
3.1 - INTRODUCTION
3.2 - BPNN METHODOLOGY
3.3 - EVALUATION CRITERIA
3.4 - DEVELOPMENT OF CAPACITY ENERGY MODEL USING BPNN
3.4.1 - The Database
3.4.2 - BPNN Model Results
3.4.3 - Parameter Relative Importance
3.4.4 - Easy-to-Interpret ANN Model
3.5 - PERFORMANCE COMPARISONS
3.6 - SUMMARY AND CONCLUSION
Appendix A - Procedures for Partitioning of ANN Weights for Log(W) Model
Appendix B - Calculation of ANN output Log(W) model
Acknowledgments
References
Chapter-4---Recent-Earthquakes-and-Volcanic-Ac_2018_Integrating-Disaster-Sci
Chapter 4 - Recent Earthquakes and Volcanic Activities in Kyushu Island, Japan
4.1 - INTRODUCTION
4.2 - RECENT EARTHQUAKES IN KYUSHU ISLAND, SOUTHWESTERN JAPAN
4.2.1 - The 2005 West Off Fukuoka Prefecture Earthquake
4.2.2 - The 2016 Kumamoto Earthquake
4.3 - VOLCANOES IN KYUSHU ISLAND
4.3.1 - Unzen Volcano
4.3.2 - Kuju Volcano
4.3.3 - Monitoring and Studying Activity of Volcanoes
4.4 - DISASTER PREVENTION AND MITIGATION IN JAPAN
4.5 - CONCLUSIONS
References
Chapter-5---Winter-Storms_2018_Integrating-Disaster-Science-and-Management
Chapter 5 - Winter Storms
5.1 - OVERVIEW
5.2 - THE SIGNIFICANCE OF WINTER STORMS
5.3 - FORMATION MECHANISM AND PROPERTIES OF WINTER STORMS
5.4 - MITIGATION
5.4.1 - Risk Management
5.4.2 - Mitigation
5.4.2.1 - Structured Mitigation
5.4.2.2 - Unstructured Mitigation
5.4.3 - Insurance
5.5 - Recovery
5.5.1 - Planning
5.5.2 - Public Information and Warning
5.5.3 - Operational Coordination
5.5.4 - Economic Recovery
5.5.5 - Health and Social Services
5.5.6 - Housing
5.5.7 - Infrastructure Systems
5.5.8 - Natural and Cultural Resources
5.6 - WINTER STORMS AND PUBLIC HEALTH OPERATION: MITIGATION AND RECOVERY
References
Chapter-6---Spatial-Association-Between-Forest-Fires-_2018_Integrating-Disas
Chapter 6 - Spatial Association Between Forest Fires Incidence and Socioeconomic Vulnerability in Portugal, at Municipal Level
6.1 - INTRODUCTION
6.2 - MATERIALS AND METHODS
6.2.1 - Study Area
6.2.2 - Data Collection
6.2.3 - Model
6.3 - RESULTS
6.3.1 - Burned Area Per Municipality
6.3.2 - Association Between Socioeconomic Variables and Burnt Area
6.4 - DISCUSSION AND CONCLUSIONS
ACKNOWLEDGMENTS
References
Further Reading
Chapter-7---Landslide-Risk-Assessment-in-Parts_2018_Integrating-Disaster-Sci
Chapter 7 - Landslide Risk Assessment in Parts of the Darjeeling Himalayas, India
7.1 - Introduction
7.2 - Study Area
7.3 - Materials and Methods
7.3.1 - Landslide Susceptibility and Hazard Assessment
7.3.2 - Landslide Risk Assessment
7.4 - Results and Discussion
7.4.1 - Risk to Buildings and Population
7.4.2 - Risk to Roads
7.5 - Conclusions
Acknowledgments
References
Chapter-8---Forest-and-Land-Fires-in-Indonesi_2018_Integrating-Disaster-Scie
Chapter 8 - Forest and Land Fires in Indonesia: Assessment and Mitigation
8.1 - FOREST AND LAND FIRES IN INDONESIA
8.2 - INDONESIAN PEATLAND AT A GLANCE
8.3 - IMPACTS OF FOREST AND LAND FIRES IN INDONESIA
8.4 - FIRE ASSESSMENT
8.5 - FIRE MITIGATION
8.5.1 - Forest- and Land Fire-related Policies
8.5.2 - Integrated Forest and Land Fires Prevention Patrols
8.5.3 - Good practices in forest and land fires mitigation
References
Chapter-9---Lessons-From-Tsunami-Recovery-Toward_2018_Integrating-Disaster-S
Chapter 9 - Lessons From Tsunami Recovery Towards Guidelines of Housing Provision in Malaysia
9.1 - INTRODUCTION
9.2 - THE URGENCY OF POSTDISASTER HOUSING PROVISION AFTER THE 2004 TSUNAMI IN MALAYSIA
9.3 - ISSUES WITH THE BUILT ENVIRONMENT AND SUSTAINABLE RECONSTRUCTION PROCESS
9.3.1 - Postdisaster Housing
9.4 - CONFLICT IN THE DISASTER RECOVERY PROCESS OF HOUSING RECONSTRUCTION
9.4.1 - Dilemma in Assistance to Postdisaster Housing
9.4.2 - Relief Coordination
9.4.3 - Postdisaster Housing Financing Models
9.5 - REVIEWS OF INTERNATIONAL GUIDELINES IN SHELTER/HOUSING SECTOR
9.5.1 - General Guiding Principles
9.6 - CHALLENGES OF POLICY IMPLEMENTATION
9.7 - GOVERNMENT POLICY ON POSTDISASTER HOUSING PROVISION IN MALAYSIA
9.7.1 - Posttsunami Housing Reconstruction in Malaysia
9.8 - THE NEED FOR NEW NATIONAL HOUSING DISASTER STRATEGIES
9.9 - LESSONS LEARNED
9.9.1 - Sustainable Reconstruction Planning in Sphere Standards (Sphere Project, 2011)
9.9.2 - Learning from Tohoku Japan Reconstruction Program Allocation (System of Special Zone for Reconstruction)
9.9.3 - Provisional Guidelines of Postdisaster Permanent Housing
9.10 - CONCLUSION
References
Further Reading
Chapter-10---Drought-Prediction-With-Standardized-Pre_2018_Integrating-Disas
Chapter 10 - Drought Prediction With Standardized Precipitation and Evapotranspiration Index and Support Vector Regression ...
10.1 - INTRODUCTION
10.2 - THEORETICAL FRAMEWORK
10.2.1 - Standardized Precipitation and Evapotranspiration Index
10.2.2 - Support Vector Regression
10.3 - MATERIALS AND METHODOLOGY
10.3.1 - Study Area and SVR Input Data
10.3.2 - Statistical Evaluation of SVR Model Performance
10.4 - RESULTS AND DISCUSSION
10.5 - CONCLUSION
Acknowledgments
References
Further Reading
Chapter-11---Earthquake-Risk-Reduction-E_2018_Integrating-Disaster-Science-a
Chapter 11 - Earthquake Risk Reduction Efforts in Nepal
11.1 - INTRODUCTION
11.2 - NEPAL’S SEISMICITY AND PREVIOUS EARTHQUAKES
11.2.1 - Location and Seismic Risk
11.2.2 - Major Earthquakes Pre-2015
11.2.3 - 2015 Earthquake
11.3 - FACTORS CONTRIBUTING TO NEPAL’S EARTHQUAKE VULNERABILITY
11.3.1 - Inadequate Building Materials
11.3.2 - Poor Construction and Compliance
11.3.3 - Increased Use of Marginal Land
11.3.4 - Limited Appreciation of Seismic Risk
11.3.5 - Poor Social Indicators
11.3.6 - Limited Training and Knowledge Transfer
11.4 - GLOBAL INITIATIVES FOR DRM
11.4.1 - International Strategies and the Nepali Response
11.4.2 - National Legislative Framework and Policies
11.4.2.1 - National Calamity (Relief) Act of 1982
11.4.2.2 - Relevant Acts and Codes
11.4.2.3 - 1996 National Action Plan on Disaster Management
11.4.2.4 - 2000s: Relevant National Development Plans
11.4.2.5 - 2009: National Strategy for Disaster Risk Management
11.4.2.6 - 2011: Nepal Risk Reduction Consortium
11.5 - EFFORTS TO REDUCE EARTHQUAKE DISASTER RISK
11.5.1 - Kathmandu Valley Earthquake Risk Management Project
11.5.2 - Awareness Raising Activities
11.5.3 - School Earthquake Safety Program
11.5.4 - Hospital Safety Improvements
11.5.5 - Human Resource Development
11.5.5.1 - Professional Training
11.5.5.2 - Craftsperson Training
11.5.5.3 - Postearthquake Response Training
11.5.6 - Upgrading and Strengthening the Seismological Network
11.6 - OBSERVED CHANGES
11.6.1 - Greater Appreciation of Seismic Risk
11.6.2 - Guidelines for Building Assessment and Retrofit
11.6.3 - Improved Construction Practices
11.6.4 - Observations Following the 2015 Nepal Earthquake Sequence
11.6.4.1 - Search and Rescue Contribution
11.6.4.2 - Postearthquake Rapid Visual Assessments
11.6.4.3 - Resilience of Health Facilities in the Kathmandu Valley
11.6.4.4 - Overall Greater Seismic Resilience
11.6.4.5 - Postearthquake Reconstruction
11.7 - ONGOING ISSUES AND CHALLENGES
11.8 - RECOMMENDATIONS
11.9 - CONCLUDING REMARKS
Acknowledgments
References
Chapter-12---Urban-Flood-Management-in-Coastal-Regi_2018_Integrating-Disaste
Chapter 12 - Urban Flood Management in Coastal Regions Using Numerical Simulation and Geographic Information System
12.1 - INTRODUCTION
12.2 - COASTAL URBAN FLOOD PROBLEMS
12.3 - INTEGRATED URBAN FLOOD SIMULATION
12.4 - URBAN FLOOD SIMULATION MODELS
12.5 - FLOOD SIMULATION USING IFAM
12.6 - FLOOD SIMULATION USING HEC-HMS AND HEC-RAS
12.7 - CASE STUDIES
12.7.1 - Case Study 1: Vashi Coastal Urban Catchment
12.7.1.1 - Results and Discussion
12.7.2 - Case Study 2: Dahisar River Urban Catchment
12.7.2.1 - Results and Discussion
12.8 - CONCLUDING REMARKS
Acknowledgments
References
Chapter-13---Probabilistic-Analysis-Applied-to-Roc_2018_Integrating-Disaster
Chapter 13 - Probabilistic Analysis Applied to Rock Slope Stability: A Case Study From Northeast Turkey
13.1 - INTRODUCTION
13.2 - BACKGROUND
13.2.1 - The Category of the Rock Slope Stability Analysis
13.2.2 - Deterministic Analysis
13.2.3 - Uncertainty in the Estimating Rock Slope Stability
13.2.4 - Probabilistic Methods
13.2.4.1 - Basic Terms
13.2.4.2 - Monte Carlo Analysis and Latin Hypercube Sampling
13.2.4.3 - The Point Estimate Method
13.2.4.4 - FOSM and SOSM Methods
13.2.4.5 - First-Order Reliability Method
13.2.4.6 - Response Surface Method
13.2.4.7 - Robustness Methods
13.2.5 - Rock Mass Classification Systems Applied to Slope Stability
13.2.6 - Conventional Methods of the Rock Slope Stability Analysis
13.2.7 - Numerical Methods
13.2.8 - Soft Computing Methods Applied in Slope Stability
13.3 - BACK-ANALYSIS
13.4 - A CASE STUDY: PROBABILISTIC STABILITY ANALYSIS OF ARAKLI-TASONU LANDSLIDES, NE TURKEY
13.4.1 Description of the Study Area
13.4.2 Geological Setting
13.4.3 Description and Mechanism of the Arakli-Tasonu Landslides
13.4.4 Laboratory Testing
13.4.5 Deterministic Back-Analysis
13.4.6 Probabilistic Back-Analysis
13.4.7 Probabilistic Stability Analyses for the New Rock Slope Formed the Said Landslides
13.5 - CONCLUSION
References
Chapter-14---Civic-Fire-Control-System-for-Historic-District-_2018_Integrati
Chapter 14 - Civic Fire Control System for Historic District in Kiyomizu, Kyoto—Development Project and Its Techniques for ...
14.1 - CHARACTERISTICS OF WOODEN CULTURE AND ENVIRONMENTAL VALUE
14.2 - CONCEPT OF ENVIRONMENTAL WATER SUPPLY SYSTEM FOR FIRE DISASTER PREVENTION
14.3 - COMPOSITION AND OVERVIEW OF THIS MANUSCRIPT
14.4 - CASE RESEARCH OF DISASTER MITIGATION WATER SUPPLY SYSTEM USING NATURAL WATER SOURCES AND IMPLEMENTATION PROCESS OF M...
14.4.1 - District Overview
14.4.2 - Overview of Existing Disaster Mitigation Water Supply System
14.4.2.1 - Fire Protection System Created by Utilizing Agricultural Water and the Height Difference in Shirakawa Township
14.4.2.2 - Fire Protection System with Revival of Irrigation Canals and Utilization of Wells for Snow Removal in Kanazawa City
14.4.3 - Background Leading to the Development and Maintenance of Disaster Mitigation Water Supply System
14.4.3.1 - Geographical Background
14.4.3.2 - Causes Triggering Maintenance
14.4.4 - Process for Development Project
14.4.4.1 - Development Planning
14.4.4.2 - Budget Securing and Utilization of the System
14.4.4.3 - Implementation of Development Project
14.4.4.4 - Disaster Mitigation Activities and Operations after Development
14.5 - PROPOSAL FOR DEVELOPMENT ACTIVITIES IN CASE STUDY AREAS
14.5.1 - Performance that Needs to be Met by Disaster Mitigation Water Supply System
14.5.2 - Proposal for Basic Plan in Kiyomizu Area
14.5.2.1 - Characteristics of Target Area
14.5.2.2 - Basic Plans Pertaining to the Development of EWSS for Disaster Mitigation
14.5.3 - Recommendations for Project Development Policies Pertaining to the Plan
14.5.3.1 - Budget Securing and System Utilization Policy
14.5.3.2 - Maintenance Project Implementation Organization
14.5.3.3 - Postdevelopment Operation Policy
14.6 - SUMMARY AND PROSPECTS
Acknowledgment
References
Chapter-15---Systematic-Engineering-Approach_2018_Integrating-Disaster-Scien
Chapter 15 - Systematic Engineering Approaches for Ensuring Safe Roads
15.1 - ROAD CRASH DISASTER—WORLDWIDE SCENARIO
15.2 - FACTORS THAT MAKE DRIVING ON ROADS UNSAFE
15.3 - QUANTIFYING AND ASSESSING SAFETY SCENARIO OF ROADS
15.3.1 - Proactive Road Safety Assessment
15.3.2 - Reactive Road Safety Assessment
15.4 - SYSTEMATICALLY ENGINEERING APPROACH TO ENSURE SAFE ROADS
15.5 - SUMMARY AND HIGHLIGHTS
References
Further Reading
Chapter-16---Big-Data-Analytics-and-Social-M_2018_Integrating-Disaster-Scien
Chapter 16 - Big Data Analytics and Social Media in Disaster Management
16.1 - INTRODUCTION
16.2 - SOCIAL MEDIA
16.2.1 - Types of SM
16.3 - NATURAL DISASTERS AND SM
16.4 - BIG DATA AND BIG DATA ANALYTICS
16.5 - THE BIG DATA IN SM
16.5.1 - Examples of Data Mining Software
16.6 - DATA MINING OF SM FOR DISASTER MANAGEMENT
16.6.1 - Mitigation Phase
16.6.2 - Preparedness Phase
16.6.3 - Response Phase
16.6.4 - Recovery Phase
16.7 - CASE STUDIES IN BIG DATA IN EMERGENCY DISASTER MANAGEMENT
16.7.1 - Case 1: Chennai Floods in India, 2015
16.7.2 - Case 2: Tohoku Earthquake and Tsunami, 2011
16.7.3 - Case 3: Typhoon Morakot, 2009
16.8 - BIG DATA ANALYTICS CHALLENGES IN DISASTER MANAGEMENT
16.9 - SUMMARY
Acknowledgments
References
Further Reading
Chapter-17---Risk-Assessment-and-Reduction-Measures-in-_2018_Integrating-Dis
Chapter 17 - Risk Assessment and Reduction Measures in Landslide and Flash Flood-Prone Areas: A Case of Southern Thailand (...
17.1 - INTRODUCTION AND BACKGROUND OF STUDY AREA
17.1.1 - Climate and Overview of Rainfall
17.2 - HAZARDS, VULNERABILITY, AND RISK OF NAKHON SI THAMMARAT
17.3 - DATA COLLECTION METHOD AND TOOLS
17.3.1 - Key Informant Selection
17.4 - RISK ASSESSMENT AND RISK REDUCTION MEASURES
17.4.1 - The Elevation Profile of Thepparat Subdistrict
17.4.2 - The Analysis of Settlement Areas for Flash Flood Exposure
17.5 - MITIGATION STRATEGIES FOR LANDSLIDE AND FLASH FLOODS IN COMMUNITY LEVEL
17.6 - DISASTER RISK REDUCTION MEASURES FOR LANDSLIDE-PRONE COMMUNITY
17.6.1 - Coordination for Emergency Response
17.6.2 - Increasing the Capacity of Volunteers
17.7 - DISASTER RISK REDUCTION MEASURES FOR FLASH FLOOD-PRONE COMMUNITY
17.7.1 - Early Warning System
17.7.2 - Community-Based Disaster Risk Management (CBDRM)
17.7.3 - Public Awareness Generation
17.8 - ANALYSIS AND DISCUSSION
17.8.1 - An Analysis of Cluster Village Zone of Landslide and Flash Flood Risks
17.9 - CONCLUSION
Acknowledgments
References
Further Reading
Chapter-18---Advancements-in-Understanding-the-Radon-S_2018_Integrating-Disa
Chapter 18 - Advancements in Understanding the Radon Signal in Volcanic Areas: A Laboratory Approach Based on Rock Physicoc...
18.1 - RADON THEORY AND APPLICATIONS
18.2 - RADON MONITORING IN TECTONIC AND VOLCANIC ENVIRONMENTS
18.3 - RADON SIGNAL AND DEFORMATION EXPERIMENTS
18.4 - RADON SIGNAL AND THERMAL EXPERIMENTS
ACKNOWLEDGMENTS
References
Further Reading
Chapter-19---GIS-Based-Macrolevel-Landslide-Haza_2018_Integrating-Disaster-S
Chapter 19 - GIS Based Macrolevel Landslide Hazard Zonation Using , Newmark’s Methodology
19.1 - INTRODUCTION
19.2 - LANDSLIDE HAZARD ANALYSIS AND MAPPING
19.3 - SEISMIC LANDSLIDE HAZARD ANALYSIS AT MACROLEVEL
19.3.1 - Seismic Hazard Analysis
19.3.2 - Development of Slope Map
19.3.3 - Landslide Hazard Map
19.4 - INTEGRATED LANDSLIDE HAZARD ANALYSIS
19.5 - CONCLUSIONS
References
Chapter-20---What-Behaviors-We-Think-We-Do-When-a-Di_2018_Integrating-Disast
Chapter 20 - What Behaviors We Think We Do When a Disaster Strikes: Misconceptions and Realities of Human Disaster Behavior
20.1 - INTRODUCTION
20.2 - MISCONCEPTIONS AND REALITIES OF HUMAN BEHAVIOR IN DISASTERS
20.2.1 - Panic in a Disaster
20.2.1.1 - Definition of Disaster Panic
20.2.1.2 - Human Behavior in Past Emergency Situations
20.2.2 - Increased Crime in Disaster-Affected Areas
20.2.2.1 - Looting After a Disaster
20.2.2.2 - Other Criminal Acts in Postdisaster Situations
20.2.3 - Donating Behavior in Postdisaster Situations
20.2.3.1 - Chaos Created by Relief Materials
20.2.3.2 - Reluctance to Donate Money
20.3 - IMPACTS OF THE DISASTER MYTHS ON DISASTER RESPONSE AND MANAGEMENT
20.4 - WHAT GIVES RISE TO DISASTER MYTHS?
20.4.1 - Effects of Mass Media and Popular Culture on Disaster Myths
20.4.2 - Psychological Mechanisms Behind Disaster Myths
20.5 - CONCLUSION
References
Chapter-21---A-Quantitative-Study-of-Social-Capital-in-th_2018_Integrating-D
Chapter 21 - A Quantitative Study of Social Capital in the Tertiary Sector of Kobe—Has Social Capital Promoted Economic Reconstruction S...
21.1 - INTRODUCTION
21.2 - HAS KOBE RECOVERED AND BEEN RECONSTRUCTED?
21.3 - LITERATURE REVIEW
21.4 - TESTABLE HYPOTHESIS
21.5 - METHODOLOGY
21.6 - DATA
21.7 - ESTIMATION RESULTS
21.8 - CONCLUSIONS
References
Further Reading
Chapter-22---Resilience-and-Vulnerability--Old_2018_Integrating-Disaster-Sci
Chapter 22 - Resilience and Vulnerability: Older Adults and the Brisbane Floods
22.1 - OLDER ADULTS’ DISASTER EXPERIENCE
22.2 - THE DISASTER LIFECYCLE, VULNERABILITY, AND RESILIENCE
22.3 - APPLYING A LIFECYCLE, TEMPORAL AND POETIC LENS TO THE DISASTER EXPERIENCE
22.4 - THE CASE STUDY: THE 2011 AND 2013 BRISBANE FLOODS
22.5 - PROJECT OVERVIEW
22.6 - A POETIC APPROACH TO THE CHANGING DISASTER LIFECYCLE (1974–2011/2013)
22.6.1 - Phase 1: Preparation
22.6.2 - Phase 2: Response
22.6.3 - Phase 3: Recovery
22.6.4 - Phase 4: Mitigation
22.7 - LEARNING FROM OLDER AUSTRALIANS’ FLOOD EXPERIENCE
References
Further Reading
Chapter-23---Postdisaster-Relief-Distribution-Network_2018_Integrating-Disas
Chapter 23 - Postdisaster Relief Distribution Network Design Under Disruption Risk: A Tour Covering Location-Routing Approach
23.1 - INTRODUCTION
23.2 - RISK MEASURE
23.3 - PROBLEM DESCRIPTION AND MATHEMATICAL FORMULATION
23.3.1 - Modeling Framework
23.3.2 - Mathematical Modeling
23.3.2.1 - Sets
23.3.2.2 - Parameters
23.3.2.3 - Decision Variables
23.3.2.4 - Auxiliary Variables
23.3.2.5 - Linearization Variables
23.3.2.6 - Disruption Terms of the Objective Function
23.3.2.7 - Model Formulation
23.3.3 - Linearization Procedure
23.3.4 - Conditional Value-at-Risk
23.4 - META-HEURISTIC ALGORITHM
23.4.1 - Solution Representation
23.5 - COMPUTATIONAL RESULTS
23.6 - CONCLUSION
References
Further Reading
Chapter-24---Climate-Change-and-Typhoons-in-the-Ph_2018_Integrating-Disaster
Chapter 24 - Climate Change and Typhoons in the Philippines: Extreme Weather Events in the Anthropocene
24.1 - INTRODUCTION: SUPER TYPHOON HAIYAN 8 NOVEMBER 2013
24.2 - TYPHOONS: EXTREME TROPICAL STORMS
24.3 - TYPHOONS AND THE PHILIPPINES
24.4 - CLIMATE CHANGE AND TYPHOONS
24.4.1 - What is Climate Change?
24.4.2 - Climate Change: An Undisputed Observation
24.4.3 - Climate Change and Stronger Typhoons
24.4.4 - Climate Change and Wetter Typhoons
24.4.5 - How Typhoons Track Differently and Move Faster
24.4.6 - Typhoons and Sea Level Rise
24.5 - THE PHILIPPINES AND STRONGER TYPHOONS
24.5.1 - The Vulnerability of the Filipino People to Stronger Typhoons
24.5.2 - Synergies Between Stronger Typhoons and Other Types of Environmental Degradation
24.5.2.1 - Coral Reef Loss
24.5.2.2 - Mangrove Loss
24.5.2.3 - Land Subsidence Due to Groundwater Withdrawal
24.5.2.4 - Deforestation
24.6 - CONCLUDING DISCUSSION
References
Chapter-25---The-Role-of-Disaster-Medicine-in-_2018_Integrating-Disaster-Sci
Chapter 25 - The Role of Disaster Medicine in Disaster Management and Preparedness
25.1 - INTRODUCTION
25.2 - DISASTER RISK MANAGEMENT
25.3 - HEALTH AND DISASTERS
25.3.1 - Objectives of Health Services in Disaster Preparedness
25.4 - ROLE OF DM IN DISASTER MANAGEMENT AND PREPAREDNESS
25.4.1 - History of DM
25.4.2 - What is DM?
25.4.3 - Characteristics of DM
25.5 - EMS IN DISASTERS
25.6 - HOSPITAL IN DISASTERS
25.7 - PUBLIC HEALTH IN DISASTERS
25.8 - Future and DM
References
Chapter-26---Earthquake-Triggered-Landslide-Modeling-a_2018_Integrating-Disa
Chapter 26 - Earthquake-Triggered Landslide Modeling and Deformation Analysis Related to 2005 Kashmir Earthquake Using Sate...
26.1 - INTRODUCTION
26.1.1 - 2008 Kashmir Earthquake 7.6 Mw
26.2 - STUDY AREA AND SEISMOTECTONIC SETTING OF THE REGION
26.3 - SATELLITE IMAGE PROCESSING
26.4 - CAUSATIVE FAULT MAPPING
26.5 - LANDSLIDES MAPPING
26.5.1 - Landslide Distribution
26.5.2 - Influence of Lithology on Landslides
26.5.3 - Relation of Slope Gradient, Slope Aspect, and Curvature With Landslides
26.5.4 - Probability Density Function (PDF) for Landslide Distribution
26.5.4.1 - Landslide Magnitude Scale
26.5.4.2 - Incomplete Landslide Inventory
26.5.4.3 - Correlation Between Earthquake and Landslide Magnitude
26.6 - DISCUSSION AND CONCLUSION
Acknowledgments
References
Chapter-27---Spatiotemporal-Variability-of-Soil-Mois_2018_Integrating-Disast
Chapter 27 - Spatiotemporal Variability of Soil Moisture and Drought Estimation Using a Distributed Hydrological Model
27.1 - INTRODUCTION
27.2 - TYPES OF DROUGHT AND THEIR ESTIMATION
27.3 - NEED FOR AGRICULTURAL DROUGHT ESTIMATION
27.4 - METHODS FOR AGRICULTURAL DROUGHT ESTIMATION
27.4.1 - Agricultural Drought through Remote-Sensing Techniques
27.4.1.1 - Normalized Difference Vegetation Index
27.4.1.2 - Vegetation Condition Index
27.4.1.3 - Temperature Condition Index
27.4.1.4 - Vegetation Health Index
27.4.2 - Agricultural Drought through Hydrological Cycle Modeling
27.5 - SOIL MOISTURE VARIABILITY AS A MEASURE OF AGRICULTURAL DROUGHT
27.6 - SOIL MOISTURE ESTIMATION
27.6.1 - Field Techniques
27.6.2 - Hydrological Models
27.7 - AGRICULTURAL DROUGHT ESTIMATION—A CASE STUDY OF KALPATHY WATERSHED
27.7.1 - Study Area
27.7.2 - Model Setup
27.7.3 - Spatiotemporal Soil Moisture
27.7.4 - Standardized Soil Moisture Index (SSMI)
27.8 - CONCLUSIONS
Acknowledgments
References
Index_2018_Integrating-Disaster-Science-and-Management