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Books > Earth & environment > The environment > Environmental impact of natural disasters & phenomena
This book summarizes the research being pursued as part of the
Erasmus+ CBHE KA2 project entitled "Development of master curricula
for natural disasters risk management in Western Balkan countries"
(NatRisk), which aims to educate experts on the prevention and
management of natural disasters in the Western Balkan region in
line with national and EU policies. The project has successfully
developed and implemented master curricula and educational training
in the field of natural disasters risk management, and a
methodology for the identification and prevention of natural
disasters. Consisting of 11 chapters, the book analyzes and
discusses topics such as risk assessment tools and quality methods,
the different approaches for civil-military collaboration, natural
disasters risk management in Bosnia and Herzegovina, leadership
models for managing crises resulting from natural disasters,
natural disasters in industrial areas, natural risk management in
geotechnics, flood risk modeling, adaptive neuro-fuzzy inference
models for flood prediction, collapse prediction of masonry arches,
an algorithm for fire truck dispatch in emergency situations, and
processing drought data in a GIS environment.
This contributed volume discusses essential topics and the
fundamentals for Big Data Emergency Management and primarily
focusses on the application of Big Data for Emergency Management.
It walks the reader through the state of the art, in different
facets of the big disaster data field. This includes many elements
that are important for these technologies to have real-world
impact. This book brings together different computational
techniques from: machine learning, communication network analysis,
natural language processing, knowledge graphs, data mining, and
information visualization, aiming at methods that are typically
used for processing big emergency data. This book also provides
authoritative insights and highlights valuable lessons by
distinguished authors, who are leaders in this field. Emergencies
are severe, large-scale, non-routine events that disrupt the normal
functioning of a community or a society, causing widespread and
overwhelming losses and impacts. Emergency Management is the
process of planning and taking actions to minimize the social and
physical impact of emergencies and reduces the community's
vulnerability to the consequences of emergencies. Information
exchange before, during and after the disaster periods can greatly
reduce the losses caused by the emergency. This allows people to
make better use of the available resources, such as relief
materials and medical supplies. It also provides a channel through
which reports on casualties and losses in each affected area, can
be delivered expeditiously. Big Data-Driven Emergency Management
refers to applying advanced data collection and analysis
technologies to achieve more effective and responsive
decision-making during emergencies. Researchers, engineers and
computer scientists working in Big Data Emergency Management, who
need to deal with large and complex sets of data will want to
purchase this book. Advanced-level students interested in
data-driven emergency/crisis/disaster management will also want to
purchase this book as a study guide.
This book reviews the active faults around nuclear power plants in
Japan and recommends an optimal method of nuclear power regulation
controlled by the Nuclear Regulation Authority of Japan. The active
faults around nuclear power plants have been underestimated in
Japan since the latter half of the 20th century. However, based on
the lessons learned from the Fukushima nuclear power plant
accident, the book sheds light on why the risks of active faults
were underestimated, and discusses the optimal scientific method of
assessing those risks. Further, the author shares his experiences
in the new standard for nuclear regulation creation team and in the
active fault survey at the Nuclear Regulation Authority of Japan.
This book is a valuable resource for students, researchers,
academic and policy-makers, as well as non-experts interested in
nuclear safety.
This book presents a case study-based analysis of the consequences
of external interventions, critically evaluating them from
community perspectives. Communities - from rural to urban, and
around the world - that are experiencing disasters and changes in
climatic variables can perceive the associated risks and evaluate
the impacts of interventions. Accordingly, community perspectives,
including their perceptions, concerns, awareness, realizations,
reactions and expectations, represent a valuable resource. The
case-based analysis of impacts on communities can provide a 'means
of learning' from the experiences of others, thus expanding
professionals' knowledge base, especially regarding disaster
mitigation and climate change adaptation practices in varied
settings. This book offers valuable insights and lessons learned,
in an effort to promote and guide innovative changes in the current
planning, management and governance of human settlements, helping
them face the future challenges of a changing environment.
Global Flood Hazard Subject Category Winner, PROSE Awards 2019,
Earth Science Selected from more than 500 entries, demonstrating
exceptional scholarship and making a significant contribution to
the field of study. PROSE Award Finalist 2019 Association of
American Publishers Award for Professional and Scholarly Excellence
Flooding is a costly natural disaster in terms of damage to land,
property and infrastructure. This volume describes the latest tools
and technologies for modeling, mapping, and predicting large-scale
flood risk. It also presents readers with a range of remote sensing
data sets successfully used for predicting and mapping floods at
different scales. These resources can enable policymakers, public
planners, and developers to plan for, and respond to, flooding with
greater accuracy and effectiveness. Describes the latest
large-scale modeling approaches, including hydrological models, 2-D
flood inundation models, and global flood forecasting models
Showcases new tools and technologies such as Aqueduct, a new
web-based tool used for global assessment and projection of future
flood risk under climate change scenarios Features case studies
describing best-practice uses of modeling techniques, tools, and
technologies Global Flood Hazard is an indispensable resource for
researchers, consultants, practitioners, and policy makers dealing
with flood risk, flood disaster response, flood management, and
flood mitigation.
A new edition of Peter Francis's highly respected text, reflecting new research findings and new eruptions. Preserving the immense clarity and engaging humour of the first edition including a new chapter on hazards and risk mitigation.
This country diagnostic assessment seeks to strengthen financial
preparedness for disasters in Nepal, focusing on insurance and
other risk transfer instruments. It explores the current
application of disaster risk financing solutions by the government,
businesses, and individual households; related demand and supply
constraints; and opportunities for improvement. The assessment
forms one of a series of country diagnostics undertaken using a
common methodology to determine the state of the enabling
environment for disaster risk financing.
This open access book focuses on investigating predicting precursor
information and key points of rockburst in mining engineering
through laboratory experiment, theoretical analysis, numerical
simulation and case studies. Understanding the evolution patterns
for the microstructure instability of rock is a prerequisite for
rockburst prediction. The book provides a guide for readers seeking
to understand the evolution patterns for the microstrucure of rock
failure, the predicting key point of rock failure and the rockburst
predicting model. It will be an essential reference to understand
mechanism of rockburst and sheds new light on dynamic disasters
prediction. Chapters are carefully developed to cover (1) The
evolution patterns for the microstructure instability of rock; (2)
Rockburst hazard monitoring and predicting criterion and predicting
models. The book addresses the issue with a holistic and systematic
approach that investigates the occurrence mechanism of rockburst
based on the evolution patterns for the microstructure of rock
failure and establishes the predicting model of rockburst. This
book will be of interest to researchers of mining engineering, rock
mechanics engineering and safety engineering.
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Fireweed
(Paperback)
Gudrun Bortman; Contributions by Denise Laurentis; Edited by Shawn Aveningo Sanders
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R288
Discovery Miles 2 880
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Ships in 10 - 15 working days
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