Data Flood
DOWNLOAD eBooks
Download Data Flood PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Data Flood book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Dealing With The Data Flood
DOWNLOAD eBooks
Author : Jeroen Meij
language : en
Publisher:
Release Date : 2002
Dealing With The Data Flood written by Jeroen Meij and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Data mining categories.
Data Flood
DOWNLOAD eBooks
Author : Isaac R. III Porche
language : en
Publisher: Rand Corporation
Release Date : 2014-04-22
Data Flood written by Isaac R. III Porche and has been published by Rand Corporation this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04-22 with Business & Economics categories.
Navy analysts are struggling to keep pace with the growing flood of data collected by intelligence, surveillance, and reconnaissance sensors. This challenge is sure to intensify as the Navy continues to field new and additional sensors. The authors explore options for solving the Navy’s “big data” challenge, considering changes across four dimensions: people, tools and technology, data and data architectures, and demand and demand management.
Point Cloud Data Fusion For Enhancing 2d Urban Flood Modelling
DOWNLOAD eBooks
Author : Vorawit Meesuk
language : en
Publisher: CRC Press
Release Date : 2017-07-20
Point Cloud Data Fusion For Enhancing 2d Urban Flood Modelling written by Vorawit Meesuk and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-20 with Science categories.
Modelling urban flood dynamics requires proper handling of a number of complex urban features. Although high-resolution topographic data can nowadays be obtained from aerial LiDAR surveys, such top-view LiDAR data still have difficulties to represent some key components of urban features. Incorrectly representing features like underpasses through buildings or apparent blockage of flow by sky trains may lead to misrepresentation of actual flood propagation, which could easily result in inadequate flood-protection measures. Hence proper handling of urban features plays an important role in enhancing urban flood modelling. This research explores present-day capabilities of using computer-based environments to merge side-view Structure-from-Motion data acquisition with top-view LiDAR data to create a novel multi-source views (MSV) topographic representation for enhancing 2D model schematizations. A new MSV topographic data environment was explored for the city of Delft and compared with the conventional top-view LiDAR approach. Based on the experience gained, the effects of different topographic descriptions were explored for 2D urban flood models of (i) Kuala Lumpur, Malaysia for the 2003 flood event; and (ii) Ayutthaya, Thailand for the 2011 flood event. It was observed that adopting the new MSV data as the basis for describing the urban topography, the numerical simulations provide a more realistic representation of complex urban flood dynamics, thus enhancing conventional approaches and revealing specific features like flood watermarks identification and helping to develop improved flood-protection measures.
Flood Damage Survey And Assessment
DOWNLOAD eBooks
Author : Daniela Molinari
language : en
Publisher: John Wiley & Sons
Release Date : 2017-07-31
Flood Damage Survey And Assessment written by Daniela Molinari and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-31 with Science categories.
Floods can have a devastating impact on life, property and economic resources. However, the systematic collection of damage data in the aftermath of flood events can contribute to future risk mitigation. Such data can support a variety of actions including the identification of priorities for intervention during emergencies, the creation of complete event scenarios to tailor risk mitigation strategies, the definition of victim compensation schemes, and the validation of damage models to feed cost-benefit analysis of mitigation actions. Volume highlights include: Compilation of real world case studies elaborating on the survey experiences and best practices associated with flood damage data collection, storage and analysis, that can help strategize flood risk mitigation in an efficient manner Coverage of different flooding phenomena such as riverine and mountain floods, spatial analysis from local to global scales, and stakeholder perspectives, e.g. public decision makers, researchers, private companies Contributions from leading experts in the field, researchers and practitioners, including civil protection actors working at different spatial and administrative level, insurers, and professionals working in the field of natural hazard risks mitigation Flood Damage Survey and Assessment: New Insights from Research and Practice will be a valuable resource for earth scientists, hydrologists, meteorologists, geologists, geographers, civil engineers, insurers, policy makers, and planners. Read an interview with the editors to find out more: https://eos.org/editors-vox/the-value-of-disaster-damage-data
A Methodology For Processing Raw Lidar Data To Support Urban Flood Modelling Framework
DOWNLOAD eBooks
Author : Ahmad Fikri Bin Abdullah
language : en
Publisher: CRC Press
Release Date : 2020-10-28
A Methodology For Processing Raw Lidar Data To Support Urban Flood Modelling Framework written by Ahmad Fikri Bin Abdullah and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-28 with Nature categories.
The consequences of recent floods and flash floods in many parts of the world have been devastating. One way to improving flood management practice is to invest in data collection and modelling activities which enable an understanding of the functioning of a system and the selection of optimal mitigation measures. A Digital Terrain Model (DTM) provides the most essential information for flood managers. Light Detection and Ranging (LiDAR) surveys which enable the capture of spot heights at a spacing of 0.5m to 5m with a horizontal accuracy of 0.3m and a vertical accuracy of 0.15m can be used to develop high accuracy DTM but needs careful processing before using it for any application.This book presents the augmentation of an existing Progressive Morphological filtering algorithm for processing raw LiDAR data to support a 1D/2D urban flood modelling framework. The key characteristics of this improved algorithm are: (1) the ability to deal with different kinds of buildings; (2) the ability to detect elevated road/rail lines and represent them in accordance to the reality; (3) the ability to deal with bridges and riverbanks; and (4) the ability to recover curbs and the use of appropriated roughness coefficient of Manning‘s value to represent close-to-earth vegetation (e.g. grass and small bush).
Global Flood Hazard
DOWNLOAD eBooks
Author : Guy J-P. Schumann
language : en
Publisher: John Wiley & Sons
Release Date : 2018-06-05
Global Flood Hazard written by Guy J-P. Schumann and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-05 with Science categories.
Global Flood Hazard 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.
Flood Forecasting Using Machine Learning Methods
DOWNLOAD eBooks
Author : Fi-John Chang
language : en
Publisher: MDPI
Release Date : 2019-02-28
Flood Forecasting Using Machine Learning Methods written by Fi-John Chang and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-28 with Technology & Engineering categories.
Nowadays, the degree and scale of flood hazards has been massively increasing as a result of the changing climate, and large-scale floods jeopardize lives and properties, causing great economic losses, in the inundation-prone areas of the world. Early flood warning systems are promising countermeasures against flood hazards and losses. A collaborative assessment according to multiple disciplines, comprising hydrology, remote sensing, and meteorology, of the magnitude and impacts of flood hazards on inundation areas significantly contributes to model the integrity and precision of flood forecasting. Methodologically oriented countermeasures against flood hazards may involve the forecasting of reservoir inflows, river flows, tropical cyclone tracks, and flooding at different lead times and/or scales. Analyses of impacts, risks, uncertainty, resilience, and scenarios coupled with policy-oriented suggestions will give information for flood hazard mitigation. Emerging advances in computing technologies coupled with big-data mining have boosted data-driven applications, among which Machine Learning technology, with its flexibility and scalability in pattern extraction, has modernized not only scientific thinking but also predictive applications. This book explores recent Machine Learning advances on flood forecast and management in a timely manner and presents interdisciplinary approaches to modelling the complexity of flood hazards-related issues, with contributions to integrative solutions from a local, regional or global perspective.
Improving Flood Prediction Assimilating Uncertain Crowdsourced Data Into Hydrologic And Hydraulic Models
DOWNLOAD eBooks
Author : Maurizio Mazzoleni
language : en
Publisher: CRC Press
Release Date : 2017-03-16
Improving Flood Prediction Assimilating Uncertain Crowdsourced Data Into Hydrologic And Hydraulic Models written by Maurizio Mazzoleni and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-16 with Science categories.
In recent years, the continued technological advances have led to the spread of low-cost sensors and devices supporting crowdsourcing as a way to obtain observations of hydrological variables in a more distributed way than the classic static physical sensors. The main advantage of using these type of sensors is that they can be used not only by technicians but also by regular citizens. However, due to their relatively low reliability and varying accuracy in time and space, crowdsourced observations have not been widely integrated in hydrological and/or hydraulic models for flood forecasting applications. Instead, they have generally been used to validate model results against observations, in post-event analyses. This research aims to investigate the benefits of assimilating the crowdsourced observations, coming from a distributed network of heterogeneous physical and social (static and dynamic) sensors, within hydrological and hydraulic models, in order to improve flood forecasting. The results of this study demonstrate that crowdsourced observations can significantly improve flood prediction if properly integrated in hydrological and hydraulic models. This study provides technological support to citizen observatories of water, in which citizens not only can play an active role in information capturing, evaluation and communication, leading to improved model forecasts and better flood management.
Data Flood
DOWNLOAD eBooks
Author : Dieter Joensson
language : en
Publisher: Independently Published
Release Date : 2023-09-04
Data Flood written by Dieter Joensson and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-04 with categories.
Why do we generate so much data? Couldn't we just stop this nonsense? No, we can't! Because we exist, like all living beings, only as sensitive bodies with metabolism and constant dissolution of order. This applies without exception to all living individuals and all communities formed from them. To counteract their order decay, all living structures incessantly produce and process information in the form of stored order. This begins with the genetic information in all cells of the body and extends to the streams of information that flow circulating between individuals of intelligent species, including the technical information in our machines, libraries and databases. This book thus shows that the evolution of information technology and the internet is a natural part of the evolution of life. Because of the unremitting order decay of living structures, the flood of data can and will only end when life as a whole ends. Further information and reading samples are available on the author's homepage joen.de.
Advances In Large Scale Flood Monitoring And Detection
DOWNLOAD eBooks
Author : Salvatore Manfreda
language : en
Publisher: MDPI
Release Date : 2020-11-13
Advances In Large Scale Flood Monitoring And Detection written by Salvatore Manfreda and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-13 with Technology & Engineering categories.
Climate change and land use transformations have induced an increased flood risk worldwide. These phenomena are dramatically impacting ordinary life and the economy. Research and technology offer a new strategy to quantify and predict such phenomena and also mitigate the impact of flooding. In particular, the growing computational power is offering new strategies for a more detailed description of the flooding over large scales. This book offers an overview of the most recent outcomes of the research on this argument.