Flood Prediction and Mitigation in Data-sparse Environments


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


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


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


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. 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


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.




Flood Modeling, Prediction and Mitigation


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 Assessment


Book Description

About 7,000 people lose their lives and nearly 100 million people are adversely affected by floods each year worldwide. Severe flooding also costs billions of dollars each year in damage and economic losses. This new volume focuses on two detailed studies that employ physically based hydrologic models to predict flooding in the particularly challenging environment of small watersheds with mountainous terrain and high intensity/high variability rainfall. The first study, by Dr. Alejandra Rojas Gonzalez, discusses flood prediction limitations in small watersheds with mountainous terrain and high rainfall variability. The hypothesis of the study is that it is possible to perform a small-scale, affordable model calibration, and then scale-up the parameters to a larger basin-scale model. The study specifically addresses the following scientific questions: How is flow prediction affected by the spatial variability of point rainfall at scales below that of the typical resolution of radar-based products? How does parameter and hydrological model resolution affect the model's predictive capabilities and the errors of the hydrologic model? Would the assumptions developed for the small scale enhance the hydrologic predictability at larger scales? The second study, by Dr. Luz E. Torres Molina, describes the development of a stochastic model to forecast short-term rainfall for a tropical basin. The high-resolution rainfall data (≈ 100-m) was derived using the TropiNet radar system at the University of Puerto Rico-Mayaguez Campus, representing possibly the only study of its kind in a tropical environment. The predicted short-term rainfall data was input into a hydrologic model, and flood inundation levels were estimated at selected locations within the basin. Results of the rainfall and hydrologic forecasts are compared with observed data. The study also provides a prototype for a flood forecast alarm system. Book jacket.




Flood Impact Mitigation and Resilience Enhancement


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 Mitigation Planning Using HEC-SAM


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).