Search results: Found 5

Listing 1 - 5 of 5
Sort by
Future-Proofing the State

Authors: --- --- ---
ISBN: 9781925021516 Year: DOI: 10.26530/OAPEN_496491 Language: English
Publisher: ANU Press
Subject: Social Sciences
Added to DOAB on : 2014-08-04 11:01:11
License: ANU Press

Loading...
Export citation

Choose an application

Abstract

This book focuses on the challenges facing governments and communities in preparing for and responding to major crises — especially the hard to predict yet unavoidable natural disasters ranging from earthquakes and tsunamis to floods and bushfires, as well as pandemics and global economic crises. Future-proofing the state and our societies involves decision-makers developing capacities to learn from recent ‘disaster’ experiences in order to be better placed to anticipate and prepare for foreseeable challenges. To undertake such futureproofing means taking long-term (and often recurring) problems seriously, managing risks appropriately, investing in preparedness, prevention and mitigation, reducing future vulnerability, building resilience in communities and institutions, and cultivating astute leadership. In the past we have often heard calls for ‘better future-proofing’ in the aftermath of disasters, but then neglected the imperatives of the message.

Future-Proofing the State is organised around four key themes: how can we better predict and manage the future; how can we transform the short-term thinking shaped by our political cycles into more effective long-term planning; how can we build learning into our preparations for future policies and management; and how can we successfully build trust and community resilience to meet future challenges more adequately?

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

Author:
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
Subject: Religion --- History
Added to DOAB on : 2017-10-24 11:01:49
License:

Loading...
Export citation

Choose an application

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
License:

Loading...
Export citation

Choose an application

Abstract

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.

Climate Information for Public Health Action

Authors: ---
Book Series: Routledge Studies in Environment and Health ISBN: 9781315115603 9781138069640 9781138069633 Year: Pages: 244 Language: English
Publisher: Taylor & Francis
Subject: Environmental Sciences --- Public Health
Added to DOAB on : 2019-01-15 13:34:22

Loading...
Export citation

Choose an application

Abstract

Policy-makers are increasingly concerned about the impact of climate variability and change on the health of vulnerable populations. Variations and trends in climatic factors and extreme weather events impact many health outcomes, including malaria, heat stress and undernutrition.  

Climate Information for Public Health Action is based on the premise that climate knowledge and information can help protect the public from climate-sensitive health risks. With a focus on infectious disease, hydro-meteorological disasters and nutrition, the book explores why, when and how data on the historical, current and future (from days to decades) climate can be incorporated into health decision-making. Created as a collaborative effort between climate and health experts, this book targets a broad technical public health community, alongside development practitioners and policy-makers engaged in climate change adaptation. It may also guide climate experts in the development of climate services tailored to health needs. Written in an accessible, informative style, while maintaining the highest technical and scientific standards, it will also be a valuable resource for students and academics studying and working in the emerging field of environment and health.

Flood Forecasting Using Machine Learning Methods

Authors: --- ---
ISBN: 9783038975489 Year: Pages: 376 DOI: 10.3390/books978-3-03897-549-6 Language: eng
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
License:

Loading...
Export citation

Choose an application

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

Listing 1 - 5 of 5
Sort by