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Ho Chi Minh City faces significant and growing flood risk. Recent risk reduction efforts may be insufficient as climate and socio-economic conditions diverge from projections made when those efforts were initially planned. This study demonstrates how robust decision making can help Ho Chi Minh City develop integrated flood risk management strategies in the face of such deep uncertainty. Robust decision making is an iterative, quantitative, decision support methodology designed to help policy makers identify strategies that are robust, that is, satisfying decision makers' objectives in many plausible futures, rather than being optimal in any single estimate of the future. This project used robust decision making to analyze flood risk management in Ho Chi Minh City's Nhieu Loc-Thi Nghe canal catchment area. It found that the soon-to-be-completed infrastructure may reduce risk in best estimates of future conditions, but it may not keep risk low in many other plausible futures. Thus, the infrastructure may not be sufficiently robust. The analysis further suggests that adaptation and retreat measures, particularly when used adaptively, can play an important role in reducing this risk. The study examines the conditions under which robust decision making concepts and full robust decision making analyses may prove useful in developing countries. It finds that planning efforts in developing countries should at minimum use models and data to evaluate their decisions under a wide range of conditions. Full robust decision making analyses can also augment existing planning efforts in numerous ways.

Adaptation --- Climate change --- Decision-making under uncertainty --- Flood risk management --- Long-lived infrastructure investments --- Macroeconomics and Economic Growth

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Flood risks worldwide are being exacerbated due to urbanisation and the consequences of climate change. This poses a challenge to traditional managerial approaches to flood risk management that try to be ‘fail-safe’. This book presents innovative and practical lessons on how to make flood risk management strategies ‘safe-to-fail’ and therewith more resilient. The book focuses on governance – rather than technical/managerial – approaches. As the book shows, new governance strategies are needed that ensure that flood risk management is not left to water managers alone. Various actors, including spatial planners, contingency agencies, NGOs and individual citizens, have a role to play in flood risk governance. Ten chapters assess different case studies from around the globe. These highlight the challenges and good practices related to learning, inter- and transdisciplinary cooperation, and debating and meeting the normative end-goals of flood risk governance. This book is essential reading for grounded scholars, reflexive policymakers and practitioners, and everyone else who is interested in contributing to more resilient and future-proof flood risk governance.

city-to-city learning --- policy transfer --- resilient cities --- water squares --- flooding --- erosion --- coping --- adaptation --- Jamuna River --- Bangladesh --- citizen engagement --- flood risk governance --- governance capacity --- climate adaptation --- science–policy interface --- flood risk management --- climate change --- social learning --- integrated flood risk management --- Room for the River program --- multilevel governance --- IAD framework --- adaptive governance --- multi-level safety --- untaming --- disaster risk reduction --- climate change adaptation --- river restoration --- green infrastructure --- ecosystem services --- acceptability --- attitudes --- co-benefits --- preferences --- participation --- adaptive capacities --- diversified flood risk management strategies --- pilot project --- governance networks --- learning --- flood prevention --- policy instruments --- spatial planning --- governance --- resilience --- science-policy interactions --- interdisciplinarity

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Extreme hydrological phenomena are one of the most common causes of human life loss and material damage as a result of the manifestation of natural hazards around human communities. Climatic changes have directly impacted the temporal distribution of previously known flood events, inducing significantly increased frequency rates as well as manifestation intensities. Understanding the occurrence and manifestation behavior of flood risk as well as identifying the most common time intervals during which there is a greater probability of flood occurrence should be a subject of social priority, given the potential casualties and damage involved. However, considering the numerous flood analysis models that have been currently developed, this phenomenon has not yet been fully comprehended due to the numerous technical challenges that have arisen. These challenges can range from lack of measured field data to difficulties in integrating spatial layers of different scales as well as other potential digital restrictions.The aim of the current book is to promote publications that address flood analysis and apply some of the most novel inundation prediction models, as well as various hydrological risk simulations related to floods, that will enhance the current state of knowledge in the field as well as lead toward a better understanding of flood risk modeling. Furthermore, in the current book, the temporal aspect of flood propagation, including alert times, warning systems, flood time distribution cartographic material, and the numerous parameters involved in flood risk modeling, are discussed.

Technology: general issues --- History of engineering & technology --- Environmental science, engineering & technology --- flood maps --- flood risk management --- HAND model --- WebAssembly --- flood risk mapping --- web systems --- floods --- urban flooding --- flood analysis --- design floods --- HEC-HMS --- HEC-RAS --- dam break --- unsteady --- flood mapping --- Kesem --- flood risk --- poorly gauged watersheds --- regional flood frequency --- flood modeling --- GPU-parallel numerical scheme --- bridges --- story maps --- disaster risk reduction --- slide --- GARI tool --- risk communication --- climate change --- flood early warning --- forecasting --- hydrological extremes --- machine learning --- Andes --- Nilwala river basin --- coupled flood modelling --- iRIC --- flood maps --- flood risk management --- HAND model --- WebAssembly --- flood risk mapping --- web systems --- floods --- urban flooding --- flood analysis --- design floods --- HEC-HMS --- HEC-RAS --- dam break --- unsteady --- flood mapping --- Kesem --- flood risk --- poorly gauged watersheds --- regional flood frequency --- flood modeling --- GPU-parallel numerical scheme --- bridges --- story maps --- disaster risk reduction --- slide --- GARI tool --- risk communication --- climate change --- flood early warning --- forecasting --- hydrological extremes --- machine learning --- Andes --- Nilwala river basin --- coupled flood modelling --- iRIC

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Extreme hydrological phenomena are one of the most common causes of human life loss and material damage as a result of the manifestation of natural hazards around human communities. Climatic changes have directly impacted the temporal distribution of previously known flood events, inducing significantly increased frequency rates as well as manifestation intensities. Understanding the occurrence and manifestation behavior of flood risk as well as identifying the most common time intervals during which there is a greater probability of flood occurrence should be a subject of social priority, given the potential casualties and damage involved. However, considering the numerous flood analysis models that have been currently developed, this phenomenon has not yet been fully comprehended due to the numerous technical challenges that have arisen. These challenges can range from lack of measured field data to difficulties in integrating spatial layers of different scales as well as other potential digital restrictions.The aim of the current book is to promote publications that address flood analysis and apply some of the most novel inundation prediction models, as well as various hydrological risk simulations related to floods, that will enhance the current state of knowledge in the field as well as lead toward a better understanding of flood risk modeling. Furthermore, in the current book, the temporal aspect of flood propagation, including alert times, warning systems, flood time distribution cartographic material, and the numerous parameters involved in flood risk modeling, are discussed.

Technology: general issues --- History of engineering & technology --- Environmental science, engineering & technology --- flood maps --- flood risk management --- HAND model --- WebAssembly --- flood risk mapping --- web systems --- floods --- urban flooding --- flood analysis --- design floods --- HEC-HMS --- HEC-RAS --- dam break --- unsteady --- flood mapping --- Kesem --- flood risk --- poorly gauged watersheds --- regional flood frequency --- flood modeling --- GPU-parallel numerical scheme --- bridges --- story maps --- disaster risk reduction --- slide --- GARI tool --- risk communication --- climate change --- flood early warning --- forecasting --- hydrological extremes --- machine learning --- Andes --- Nilwala river basin --- coupled flood modelling --- iRIC --- n/a

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Flooding is widely recognized as a global threat, due to the extent and magnitude of damage it causes around the world each year. Reducing flood risk and improving flood resilience are two closely related aspects of flood management. This book presents the latest advances in flood risk and resilience management on the following themes: hazard and risk analysis, flood behaviour analysis, assessment frameworks and metrics and intervention strategies. It can help the reader to understand the current challenges in flood management and the development of sustainable flood management interventions to reduce the social, economic and environmental consequences from flooding.

History of engineering & technology --- nonstationarity --- univariate model --- GAMLSS --- bivariate model --- copulas --- floodway --- optimization --- particle swarm optimization --- HEC-RAS --- flood mitigation --- hydraulic modeling --- flood risk perception --- natural flood management --- disaster mitigation --- flood-prone city --- questionnaire survey --- flood hazard --- land use --- urban growth --- Villahermosa --- architecture modelling flood resilience --- resilience engineering --- system-of-systems water systems --- multi-risk matrix --- resilience --- flood risk --- multi-hazard --- risk reduction --- flood resilience index --- flood resilience analysis --- urban floods --- flood risk assessment --- flood inundation modelling --- Artificial Intelligence --- machine learning --- flood --- preparedness --- flood resilience --- blue-green infrastructure --- flood risk management --- sustainable --- drainage systems --- systems --- flood control materials --- intelligent warehousing --- location allocation --- multi-objective optimization --- drone applications --- deployment time --- monitoring --- flood modelling --- evacuation --- rescue --- management strategy --- metrics --- nonstationarity --- univariate model --- GAMLSS --- bivariate model --- copulas --- floodway --- optimization --- particle swarm optimization --- HEC-RAS --- flood mitigation --- hydraulic modeling --- flood risk perception --- natural flood management --- disaster mitigation --- flood-prone city --- questionnaire survey --- flood hazard --- land use --- urban growth --- Villahermosa --- architecture modelling flood resilience --- resilience engineering --- system-of-systems water systems --- multi-risk matrix --- resilience --- flood risk --- multi-hazard --- risk reduction --- flood resilience index --- flood resilience analysis --- urban floods --- flood risk assessment --- flood inundation modelling --- Artificial Intelligence --- machine learning --- flood --- preparedness --- flood resilience --- blue-green infrastructure --- flood risk management --- sustainable --- drainage systems --- systems --- flood control materials --- intelligent warehousing --- location allocation --- multi-objective optimization --- drone applications --- deployment time --- monitoring --- flood modelling --- evacuation --- rescue --- management strategy --- metrics