Flood Prediction and Mitigation in Data-sparse Environments PDF Download

Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Flood Prediction and Mitigation in Data-sparse Environments PDF full book. Access full book title Flood Prediction and Mitigation in Data-sparse Environments by Joy Sanyal. Download full books in PDF and EPUB format.

Flood Prediction and Mitigation in Data-sparse Environments

Flood Prediction and Mitigation in Data-sparse Environments PDF Author: Joy Sanyal
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description
In the last three decades many sophisticated tools have been developed that can accurately predict the dynamics of flooding. However, due to the paucity of adequate infrastructure, this technological advancement did not benefit ungauged flood-prone regions in the developing countries in a major way. The overall research theme of this dissertation is to explore the improvement in methodology that is essential for utilising recently developed flood prediction and management tools in the developing world, where ideal model inputs and validation datasets do not exist. This research addresses important issues related to undertaking inundation modelling at different scales, particularly in data-sparse environments. The results indicate that in order to predict dynamics of high magnitude stream flow in data-sparse regions, special attention is required on the choice of the model in relation to the available data and hydraulic characteristics of the event. Adaptations are necessary to create inputs for the models that have been primarily designed for areas with better availability of data. Freely available geospatial information of moderate resolution can often meet the minimum data requirements of hydrological and hydrodynamic models if they are supplemented carefully with limited surveyed/measured information. This thesis also explores the issue of flood mitigation through rainfall-runoff modelling. The purpose of this investigation is to assess the impact of land-use changes at the sub-catchment scale on the overall downstream flood risk. A key component of this study is also quantifying predictive uncertainty in hydrodynamic models based on the Generalised Likelihood Uncertainty Estimation (GLUE) framework. Detailed uncertainty assessment of the model outputs indicates that, in spite of using sparse inputs, the model outputs perform at reasonably low levels of uncertainty both spatially and temporally. These findings have the potential to encourage the flood managers and hydrologists in the developing world to use similar data sets for flood management.

Flood Prediction and Mitigation in Data-sparse Environments

Flood Prediction and Mitigation in Data-sparse Environments PDF Author: Joy Sanyal
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description
In the last three decades many sophisticated tools have been developed that can accurately predict the dynamics of flooding. However, due to the paucity of adequate infrastructure, this technological advancement did not benefit ungauged flood-prone regions in the developing countries in a major way. The overall research theme of this dissertation is to explore the improvement in methodology that is essential for utilising recently developed flood prediction and management tools in the developing world, where ideal model inputs and validation datasets do not exist. This research addresses important issues related to undertaking inundation modelling at different scales, particularly in data-sparse environments. The results indicate that in order to predict dynamics of high magnitude stream flow in data-sparse regions, special attention is required on the choice of the model in relation to the available data and hydraulic characteristics of the event. Adaptations are necessary to create inputs for the models that have been primarily designed for areas with better availability of data. Freely available geospatial information of moderate resolution can often meet the minimum data requirements of hydrological and hydrodynamic models if they are supplemented carefully with limited surveyed/measured information. This thesis also explores the issue of flood mitigation through rainfall-runoff modelling. The purpose of this investigation is to assess the impact of land-use changes at the sub-catchment scale on the overall downstream flood risk. A key component of this study is also quantifying predictive uncertainty in hydrodynamic models based on the Generalised Likelihood Uncertainty Estimation (GLUE) framework. Detailed uncertainty assessment of the model outputs indicates that, in spite of using sparse inputs, the model outputs perform at reasonably low levels of uncertainty both spatially and temporally. These findings have the potential to encourage the flood managers and hydrologists in the developing world to use similar data sets for flood management.

Flood Forecasting Using Machine Learning Methods

Flood Forecasting Using Machine Learning Methods PDF Author: Fi-John Chang
Publisher: MDPI
ISBN: 3038975486
Category : Technology & Engineering
Languages : en
Pages : 376

Book Description
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.

Advances in Large Scale Flood Monitoring and Detection

Advances in Large Scale Flood Monitoring and Detection PDF Author: Salvatore Manfreda
Publisher: MDPI
ISBN: 3039435256
Category : Technology & Engineering
Languages : en
Pages : 198

Book Description
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.

Global Flood Hazard

Global Flood Hazard PDF Author: Guy J-P. Schumann
Publisher: John Wiley & Sons
ISBN: 1119217865
Category : Science
Languages : en
Pages : 266

Book Description
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.

Flood Risk and Social Justice

Flood Risk and Social Justice PDF Author: Zoran Vojinovic
Publisher: IWA Publishing
ISBN: 1843393875
Category : Science
Languages : en
Pages : 582

Book Description
Flood Risk and Social Justice is a response to the rising significance of floods and flood-related disasters worldwide, as an initiative to promote a socially just approach to the problems of flood risk. It integrates the human-social and the technological components to provide a holistic view. This book treats flooding as a multi-dimensional human and natural world tragedy that must be accommodated using all the social and technological means that can be mobilised before, during and after the flooding event. It covers socially just flood risk mitigation practices which necessitate a wide range of multidisciplinary approaches, starting from social and wider environmental needs, including feedback cycles between human needs and technological means. Flood Risk and Social Justice looks at how to judge whether a risk is acceptable or not by addressing an understanding of social and phenomenological considerations rather than simple calculations of probabilities multiplied by unwanted outcomes and their balancing between costs and benefits. It is argued that the present ‘flood management’ practice should be largely replaced by the social justice approach where particular attention is given to deciding what is the right thing to do within a much wider context. Thus it insists upon the validity of modes of human understanding which cannot be addressed within the limited context of modern science. Flood Risk and Social Justice is written to support a wide range of audiences and seeks to improve the dialogue between researchers and practitioners from different disciplines (including post-graduate engineering, environmental and social science students, industry practitioners, academics, planners, environmental advocacy groups and environmental law professionals) who have a strong interest in a new kind of social justice work that can act as a continuous counter-balance to the various mechanisms that unceasingly give rise to profound injustices. More information about this book can be found in this article written for the WaterWiki by the author: http://www.iwawaterwiki.org/xwiki/bin/view/Articles/FloodRiskandSocialJustice Authors: Zoran Vojinovic is Associate Professor at the UNESCO-IHE Institute for Water Education, Delft, the Netherlands, with almost 20 years of consulting and research experience in various aspects of water industry in New Zealand, Australia, Asia, Europe, Central/South America and the Caribbean. Michael B. Abbott is Emeritus Professor at the UNESCO-IHE Institute for Water Education, Delft, the Netherlands, and a Director of the European Institute for Industrial Leadership in Brussels. He founded and developed the disciplines of Computational Hydraulics and Hydroinformatics and co-founded, the Journal of Hydroinformatics with Professor Roger Falconer.

Prediction of flood risks in developing countries with sparse river flow data

Prediction of flood risks in developing countries with sparse river flow data PDF Author: J R. Meigh
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description


Flood Modeling, Prediction and Mitigation

Flood Modeling, Prediction and Mitigation PDF Author: Flynn Hayes
Publisher: Callisto Reference
ISBN: 9781641166140
Category : Nature
Languages : en
Pages : 236

Book Description
A flood is an overflow of water that submerges the land which is generally dry. It can occur due to various factors such as overflow of water from water bodies, accumulation of rainwater on saturated ground in an areal flood or when the flow rate exceeds the capacity of the river channel. Flood modeling is a process where the effects of floods are simulated using mathematical formulas and equations. Flood forecasting involves the use of forecasted precipitation and streamflow data to forecast flow rates and water levels. It is an important element of flood warning. It makes use of real-time flood forecasting models for early warning and prevention from disaster. Construction of floodways, diversion canals, dams, flood plains, coastal defences and temporary perimeter barriers are a few examples of flood control methods that play a vital role in preventing the damaging effects of flood waters. The book studies, analyses and upholds the pillars of flood modeling and its utmost significance in modern times. It traces the progress of this field and highlights some of its key concepts and applications. Those in search of information to further their knowledge will be greatly assisted by this book.

Flood Impact Mitigation and Resilience Enhancement

Flood Impact Mitigation and Resilience Enhancement PDF Author: Guangwei Huang
Publisher: BoD – Books on Demand
ISBN: 1839626259
Category : Science
Languages : en
Pages : 208

Book Description
The concept of resilience has been gaining momentum in various fields in recent years and has been used in various ways from a catch phrase to a cornerstone in theoretic development or practical operation. No matter how it is used, it does contribute one way or another to the refinement and application of the concept. This book focuses on the application of the resilience concept to flood disaster management. This book is a collection of research works conducted across the world and across sectors. Therefore, it is a good example of how different perspectives can catalyze our insight into complex flood-related issues. It can be considered valuable reading material for students, researchers, policymakers and practitioners, because it provides both the fundamentals and new development of resilience-based approaches and delivers a message that the goal of resilience-based flood management goes beyond disaster reduction.

Flood Risk Management

Flood Risk Management PDF Author: Edmund C. Penning-Rowsell
Publisher: Routledge
ISBN: 1351009982
Category : Technology & Engineering
Languages : en
Pages : 239

Book Description
Our changing climate and more extreme weather events have dramatically increased the number and severity of floods across the world. Demonstrating the diversity of global flood risk management (FRM), this volume covers a range of topics including planning and policy, risk governance and communication, forecasting and warning, and economics. Through short case studies, the range of international examples from North America, Europe, Asia and Africa provide analysis of FRM efforts, processes and issues from human, governance and policy implementation perspectives. Written by an international set of authors, this collection of chapters and case studies will allow the reader to see how floods and flood risk management is experienced in different regions of the world. The way in which institutions manage flood risk is discussed, introducing the notions of realities and social constructions when it comes to risk management. The book will be of great interest to students and professionals of flood, coastal, river and natural hazard management, as well as risk analysis and insurance, demonstrating multiple academic frameworks of analysis and their utility and drawbacks when applied to real-life FRM contexts.

Flood Mitigation Planning Using HEC-SAM

Flood Mitigation Planning Using HEC-SAM PDF Author: Darryl W. Davis
Publisher:
ISBN:
Category : Flood control
Languages : en
Pages : 26

Book Description
Flood control and flood plain management investigations using spatial data management techniques are increasing in the Corps of Engineers. Pilot studies initiated in the mid-1970's were successful in consolidating analysis concepts, fostering the development of spatial data file creation and management technology and enhancing the consideration of existing and alternative future development patterns in Corps' planning studies. Over 30 studies using HEC-SAM, the Corps' spatial data management system, are now completed or underway. HEC-SAM was created through selective acquisition of commercial software, adaption of academic research products, and development by researchers at the Corps' Hydrologic Engineering Center (HEC). The HEC role continues to be that of system developer and technology transfer agent. The evolution, present capabilities, and applications of HEC-SAM are described. Observations are offered on spatial technology development, implementation, and servicing. (Author).