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Strategies of Sanity and Survival: Religious Responses to Natural Disasters in the Middle Ages

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Book Series: Studia Fennica Historica ISBN: 9789517463577 9789522228185 9789522228192 Year: Pages: 220 DOI: 10.21435/sfh.2 Language: English
Publisher: Finnish Literature Society / SKS Grant: Jane and Aatos Erkko Foundation and SKS||SKS
Subject: Religion --- History
Added to DOAB on : 2017-10-24 11:01:49
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Abstract

It is an unusual book in many respects. It is a specific study based on original and in most cases unedited sources, but it can also be read as a general introduction. It crosses boundaries between different fields of learning and traditionally accepted time periods of history. Even if it is essentially a book on medieval man, it stretches far beyond the middle ages as conventionally understood. The final chapter traces the slow disappearance of the medieval mentality until the early nineteenth century.

Climate Change and Natural Disasters

Author:
ISBN: 9781138567351 9781412864404 9781315081045 Year: Pages: 158 Language: English
Publisher: Taylor & Francis
Subject: Environmental Sciences --- Political Science
Added to DOAB on : 2019-01-15 13:33:25
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The start of the new millennium will be remembered for deadly climate-related disasters - the great floods in Thailand in 2011, Super Storm Sandy in the United States in 2012, and Typhoon Haiyan in the Philippines in 2013, to name a few. In 2014, 17.5 million people were displaced by climate-related disasters, ten times more than the 1.7 million displaced by geophysical hazards. What is causing the increase in natural disasters and what effect does it have on the economy? Climate Change and Natural Disasters sends three messages: human-made factors exert a growing influence on climate-related disasters; because of the link to anthropogenic factors, there is a pressing need for climate mitigation; and prevention, including climate adaptation, ought not to be viewed as a cost to economic growth but as an investment. Ultimately, attention to climate-related disasters, arguably the most tangible manifestation of global warming, may help mobilize broader climate action. It can also be instrumental in transitioning to a path of low-carbon, green growth, improving disaster resilience, improving natural resource use, and caring for the urban environment. Vinod Thomas proposes that economic growth will become sustainable only if governments, political actors, and local communities combine natural disaster prevention and controlling climate change into national growth strategies. When considering all types of capital, particularly human capital, climate action can drive economic growth, rather than hinder it.

The Politics of Uncertainty

Authors: ---
ISBN: 9780367903374 Year: Pages: 196 Language: English
Publisher: Taylor & Francis Grant: University of Sussex
Subject: Economics --- Environmental Sciences --- Social Sciences --- History --- Migration
Added to DOAB on : 2020-07-10 23:58:25
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"Why is uncertainty so important to politics today? To explore the underlying reasons, issues and challenges, this book’s chapters address finance and banking, insurance, technology regulation and critical infrastructures, as well as climate change, infectious disease responses, natural disasters, migration, crime and security and spirituality and religion. The book argues that uncertainties must be understood as complex constructions of knowledge, materiality, experience, embodiment and practice. Examining in particular how uncertainties are experienced in contexts of marginalisation and precarity, this book shows how sustainability and development are not just technical issues, but depend on deeply political values and choices. What burgeoning uncertainties require lies less in escalating efforts at control, but more in a new – more collective, mutualistic and convivial – politics of responsibility and care. If hopes of much-needed progressive transformation are to be realised, then currently-blinkered understandings of uncertainty need to be met with renewed democratic struggle. Written in an accessible style and illustrated by multiple case studies from across the world, this book will appeal to a wide cross-disciplinary audience in fields ranging from economics to law to science studies to sociology to anthropology and geography, as well as professionals working in risk management, disaster risk reduction, emergencies and wider public policy fields."

Approaches, Advances and Applications in Sustainable Development of Smart Cities

Authors: --- ---
ISBN: 9783039280124 / 9783039280131 Year: Pages: 308 DOI: 10.3390/books978-3-03928-013-1 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Economics
Added to DOAB on : 2020-06-09 16:38:57
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This book aims to contribute to the conceptual and practical knowledge pools in order to improve the research and practice on the sustainable development of smart cities by bringing an informed understanding of the subject to scholars, policymakers, and practitioners. This book seeks articles offering insights into the sustainable development of smart cities by providing in-depth conceptual analyses and detailed case study descriptions and empirical investigations. This way, the book will form a repository of relevant information, material, and knowledge to support research, policymaking, practice, and transferability of experiences to address aforementioned challenges. The scope of the book includes the following broad areas, with a particular focus on the approaches, advances, and applications in the sustainable development of smart cities: • Theoretical underpinnings and analytical and policy frameworks; • Methodological approaches for the evaluation of smart and sustainable cities; • Technological developments in the techno-enviro nexus; • Global best practice smart city case investigations and reports; • Geo-design and applications concerning desired urban outcomes; • Prospects, implications, and impacts concerning the future of smart and sustainable cities.

Keywords

tourist island --- innovation hub --- knowledge-based urban development --- knowledge and innovation economy --- smart city --- urban branding --- urban policy --- economic resilience --- Florianópolis --- Brazil --- city branding --- sustainable urban development --- rentier state --- Qatar --- emirates --- smart cities --- mobility --- visioning --- policy --- energy budget --- land cover ratio --- sensible heat flux --- heat mitigation --- thermal environment improvement --- sustainability --- in-situ validation --- spatial typification by heat flux --- smart cities --- commons --- digital commons --- governance --- e-government --- smart governance --- new public service --- Brazil --- smart cities --- smart display --- smart placemaking --- human–computer interaction --- user characteristics --- media façade --- intuitive interaction --- living-lab --- optimal cities --- energy autonomy --- low-carbon resources --- multi-energy networks --- parametric optimisation --- CO2 networks --- drinking water networks --- reliability --- economic cost --- model predictive control --- linear parameter varying --- smart city --- multi-agent systems --- gamification --- photovoltaics --- renewable energy systems --- spatial databases --- climate change --- climate emergency --- climate crisis --- global warming --- sustainable urban development --- sustainable development goals --- smart cities --- disasters --- urban health --- urban policy --- smart cities --- Shenzhen --- Chinese cities --- latecomer’s advantage --- sustainability --- smart city --- sustainable smart city --- smart infrastructure --- smart urban technology --- smart governance --- sustainable city --- sustainable urban development --- knowledge-based urban development --- climate change --- urban informatics --- urban policy

Flood Forecasting Using Machine Learning Methods

Authors: --- ---
ISBN: 9783038975489 Year: Pages: 376 DOI: 10.3390/books978-3-03897-549-6 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering --- Environmental Engineering
Added to DOAB on : 2019-03-08 11:42:05
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Abstract

This book is a printed edition of the Special Issue Flood Forecasting Using Machine Learning Methods that was published in Water

Keywords

data scarce basins --- runoff series --- data forward prediction --- ensemble empirical mode decomposition (EEMD) --- stopping criteria --- method of tracking energy differences (MTED) --- deep learning --- convolutional neural networks --- superpixel --- urban water bodies --- high-resolution remote-sensing images --- monthly streamflow forecasting --- artificial neural network --- ensemble technique --- phase space reconstruction --- empirical wavelet transform --- hybrid neural network --- flood forecasting --- self-organizing map --- bat algorithm --- particle swarm optimization --- flood routing --- Muskingum model --- machine learning methods --- St. Venant equations --- rating curve method --- nonlinear Muskingum model --- hydrograph predictions --- flood routing --- Muskingum model --- hydrologic models --- improved bat algorithm --- Wilson flood --- Karahan flood --- flood susceptibility modeling --- ANFIS --- cultural algorithm --- bees algorithm --- invasive weed optimization --- Haraz watershed --- ANN-based models --- flood inundation map --- self-organizing map (SOM) --- recurrent nonlinear autoregressive with exogenous inputs (RNARX) --- ensemble technique --- artificial neural networks --- uncertainty --- streamflow predictions --- sensitivity --- flood forecasting --- extreme learning machine (ELM) --- backtracking search optimization algorithm (BSA) --- the upper Yangtze River --- deep learning --- LSTM network --- water level forecast --- the Three Gorges Dam --- Dongting Lake --- Muskingum model --- wolf pack algorithm --- parameters --- optimization --- flood routing --- flash-flood --- precipitation-runoff --- forecasting --- lag analysis --- random forest --- machine learning --- flood prediction --- flood forecasting --- hydrologic model --- rainfall–runoff, hybrid & --- ensemble machine learning --- artificial neural network --- support vector machine --- natural hazards & --- disasters --- adaptive neuro-fuzzy inference system (ANFIS) --- decision tree --- survey --- classification and regression trees (CART), data science --- big data --- artificial intelligence --- soft computing --- extreme event management --- time series prediction --- LSTM --- rainfall-runoff --- flood events --- flood forecasting --- data assimilation --- particle filter algorithm --- micro-model --- Lower Yellow River --- ANN --- hydrometeorology --- flood forecasting --- real-time --- postprocessing --- machine learning --- early flood warning systems --- hydroinformatics --- database --- flood forecast --- Google Maps

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MDPI - Multidisciplinary Digital Publishing Institute (2)

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Finnish Literature Society / SKS (1)


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CC by-nc-nd (5)


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english (4)

eng (1)


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