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Seismic loss assessment is very useful for the design of insurance and reinsurance schemes & in the planning of urban/regional-scale emergency response, disaster planning & seismic retrofitting schemes.Traditionally, vulnerability assessment studies have employed macro seismic intensity scales to represent the ground shaking.But, where the assessment of a structure is concerned it is the displacement that gives an indication of the damage that can be expected and hence the state-of-the-art is now to use in some way the displacement response spectrum to represent the destructive capacity of the ground motion.The application of a displacement-based methodology instead of that of a traditional intensity-based method for loss assessment of Dhaka (the capital of Bangladesh and one of the major cities of South Asia), is thus the focus of this research.A displacement-based earthquake loss assessment methodology (DBELA), is applied to Dhaka and the damage is predicted based on the comparison of displacement capacity of buildings and displacement demand by scenario earthquakes. Furthermore, the impact of uncertainty of input parameters on loss is explored by carrying out a sensitivity study.
This book outlines disaster risk reduction (DRR) approaches in Bangladesh, drawing examples and lessons from the national and community-level programs, projects, and relevant experiences of the country. The content is based on a selection of available documents, a consultative workshop with academicians from different universities undertaking DRR higher education programs, and the editors’ own knowledge and experience in the field. Special emphasis is given to analyzing field experiences from academic perspectives, and to highlighting key issues and the policy relevance of disaster risk reduction. The book has three parts: Part I provides the outline and basics of DRR, with examples from a global review and from national policies and priorities. Part II covers seven different hazards in Bangladesh, focusing on both shocks and stresses. Part III provides examples of approaches and issues of DRR practices. The primary target groups for this book are students and researchers in the fields of environment, disaster risk reduction, and climate change studies. The book will provide them with a good idea of the current trend of research in the field and will furnish basic knowledge on this important topic in Bangladesh. Another target group comprises practitioners and policy makers, who will be able to apply collective knowledge to policy and decision making.
This book features best selected research papers presented at the International Conference on Machine Learning, Internet of Things and Big Data (ICMIB 2020) held at Indira Gandhi Institute of Technology, Sarang, India, during September 2020. It comprises high-quality research work by academicians and industrial experts in the field of machine learning, mobile computing, natural language processing, fuzzy computing, green computing, human–computer interaction, information retrieval, intelligent control, data mining and knowledge discovery, evolutionary computing, IoT and applications in smart environments, smart health, smart city, wireless networks, big data, cloud computing, business intelligence, internet security, pattern recognition, predictive analytics applications in healthcare, sensor networks and social sensing and statistical analysis of search techniques.
Describes the nature of the microtremor noise field, the use of appropriate surface arrays of geophones, and the two principal classes of array-processing techniques, high-resolution beamforming and the spatial autocorrelation method (SPAC). This is the first comprehensive textbook of the microtremor survey method written in English.
This book provides an integrated approach to the assessment of seismic hazards. The reduction of losses expected by future earthquakes is probably the most important contribution of seismology to society. Large earthquakes occurred in densely populated areas highlight the dramatic inadequacy of a massive portion of the buildings demonstrating the high risks of modern industrial societies. Building earthquake-resistant structures and retrofitting old buildings on a national scale can be extremely expensive and can represent an economic challenge even for developed western countries. Earthquakes can cause also several psychological problems due to the fact that such kind of disasters will result in casualties, collapsing of houses, strategic buildings and facilities and deeply affect a community. Moreover in our society it is necessary to properly plan emergency responses and rescues taking into account any possible secondary effect in order to avoid more casualties.
The term 'natural disaster' is often used to refer to natural events such as earthquakes, hurricanes or floods. However, the phrase 'natural disaster' suggests an uncritical acceptance of a deeply engrained ideological and cultural myth. At Risk questions this myth and argues that extreme natural events are not disasters until a vulnerable group of people is exposed. The updated new edition confronts a further ten years of ever more expensive and deadly disasters and discusses disaster not as an aberration, but as a signal failure of mainstream 'development'. Two analytical models are provided as tools for understanding vulnerability. One links remote and distant 'root causes' to 'unsafe conditions' in a 'progression of vulnerability'. The other uses the concepts of 'access' and 'livelihood' to understand why some households are more vulnerable than others. Examining key natural events and incorporating strategies to create a safer world, this revised edition is an important resource for those involved in the fields of environment and development studies.
Management science is a di scipl ine dedicated to the development of techniques that enable decision makers to cope with the increasing complexity of our world. The early burst of excitement which was spawned by the development and successful applications of linear programming to problems in both the public and private sectors has challenged researchers to develop even more sophisticated methods to deal with the complex nature of decision making. Sophistication, however, does not always trans 1 ate into more complex mathematics. Professor Thomas L. Saaty was working for the U. S. Defense Department and for the U. S. Department of State in the late 1960s and early 1970s. In these positions, Professor Saaty was exposed to some of the most complex decisions facing the world: arms control, the Middle East problem, and the development of a transport system for a Third World country. While having made major contributions to numerous areas of mathematics and the theory of operations research, he soon realized that one did not need complex mathematics to come to grips with these decision problems, just the right mathematics! Thus, Professor Saaty set out to develop a mathematically-based technique for analyzing complex situations which was sophisticated in its simplicity. This technique became known as the Analytic Hierarchy Process (AHP) and has become very successful in helping decision makers to structure and analyze a wide range of problems.