Development Of A Decision Support System For The Prediction Of Extent Of Floodplain Inundation Based On An Operational Regime For The Lower River Murray
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Development Of A Decision Support System For The Prediction Of Extent Of Floodplain Inundation Based On An Operational Regime For The Lower River Murray
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Author :
language : en
Publisher:
Release Date : 1999
Development Of A Decision Support System For The Prediction Of Extent Of Floodplain Inundation Based On An Operational Regime For The Lower River Murray written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Flood forecasting categories.
Decision Support Systems For Large Dam Planning And Operation In Africa
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Author : Matthew P. McCartney
language : en
Publisher: IWMI
Release Date : 2007-01-01
Decision Support Systems For Large Dam Planning And Operation In Africa written by Matthew P. McCartney and has been published by IWMI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-01-01 with Dams categories.
Supported by many International agencies.
Decision Support For Sewer Flood Risk Management
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Author :
language : en
Publisher:
Release Date : 2008
Decision Support For Sewer Flood Risk Management written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with categories.
Development Of A Decision Support System For Flood Forecasting And Warning
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Author : Jin Wang
language : en
Publisher:
Release Date : 2007
Development Of A Decision Support System For Flood Forecasting And Warning written by Jin Wang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Decision support systems categories.
Based on well-designed system, a unique decision support system, DSSFCMR (Decision Support System for Flood Control in the Maribyrnong River basin) was developed in this thesis to help decision making in flood forecasting and warning from data entry to search of final decisions.
Changes In Floodplain Inundation Under Non Stationary Hydrology For An Adjustable Alluvial River Channel
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Author : Bruce C. Call
language : en
Publisher:
Release Date : 2017
Changes In Floodplain Inundation Under Non Stationary Hydrology For An Adjustable Alluvial River Channel written by Bruce C. Call and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with categories.
Predicting the frequency and aerial extent of flooding in river valleys is essential for infrastructure design, environmental management, and risk assessment. Such flooding occurs when the discharge of water within a river channel exceeds its maximum capacity and the extra water submerges the adjoining floodplain surface. The maximum capacity of a channel is controlled by its geometry, gradient, and frictional resistance. Conventional flood prediction methods rely on assumptions of unchanging flood probabilities and channel capacities. However, changes in climate, land cover, and water management have been shown to systematically shift the magnitude and variability of flood flows in many systems. Additionally, alluvial river channels continually adjust their geometries according to characteristics of flow and sediment regimes. For example, channels can expand their geometry during high-energy flows through erosion, then contract their geometry through sediment deposition during low-energy flows. This means that changes in flow magnitudes, frequencies, or durations can cause changes in a channel's maximum capacity due to adjustments in river channel geometry. Therefore, future changes in river flow regimes and channel geometry may amplify or attenuate the frequency and magnitude of flood inundation in unexpected ways. The focus of this thesis is the development of a novel simulation model to investigate potential changes in the frequency and aerial extent of floodplain inundation due to systematic changes in peak flows and subsequent adjustments in channel geometry and capacity. The model was run using six hypothetical flow scenarios to explore how changes in the mean and variance of an annual peak flow series influences the frequency and magnitude of floodplain inundation. In order to qualitatively simulate the various mechanisms controlling channel adjustment across a continuum of different river environments, each scenario was run multiple times while gradually varying model parameters controlling the amount of permissible adjustment in channel geometry. Results suggest that systematic shifts in peak flows cannot be translated directly to changes in the frequency or magnitude of floodplain inundation due to the non-linear factors controlling the rate and trajectory of channel adjustment. Insights gained from these results demonstrate the need to account for potential changes in both peak flows and channel capacities in the prediction and mitigation of flood hazards.
Flood Forecasting Using Machine Learning Methods
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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.
Drought Risk Management A Strategic Approach
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Author : Speed, Robert
language : en
Publisher: UNESCO Publishing
Release Date : 2016-09-19
Drought Risk Management A Strategic Approach written by Speed, Robert and has been published by UNESCO Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-19 with categories.
Turbulent Times
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Author : Matthew Hardcastle
language : en
Publisher:
Release Date : 2019
Turbulent Times written by Matthew Hardcastle and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Decision support systems categories.
Assessing the possible future behaviour of river systems is complicated by deep climatic and socio-environmental uncertainties. However, traditional flood protection strategies have generally ignored such uncertainties, preferring to implement extreme “hard engineering” solutions. The perceived inadequacy of these strategies has resulted in the development of decision-support methods which seek to quantitatively investigate the suitability of different interventions using flood impact assessments that take into account different uncertainty scenarios. The success of decision-support methods overseas and in New Zealand has led to the Ministry for the Environment recommending the Dynamic Adaptive Policy Pathways approach for national implementation in coastal hazard management. A similar recommendation for the widespread use of Dynamic Adaptive Policy Pathways to address river management problems is expected in the coming years. However, it is unclear whether widespread uptake of decision-support methods is feasible for New Zealand local government given the national models and software currently available to councils. In addition, communicating the outcomes of such modelling can be difficult. Serious games based on water management have proved successful in engaging stakeholders with deep uncertainty problems, but have been so far underutilised in the New Zealand context, possibly due to difficulties in calibrating them to specific management problems. This thesis therefore seeks to develop a Dynamic Adaptive Policy Pathways implementation methodology for the Lower Whanganui River flood management problem using only limited resources and readily available software. In particular, the methodology addresses how climate uncertainties might be accounted for in flood impact assessments, how asset databases might be constructed to assess vulnerability and how possible interventions might be compared within a developed impact model. A serious game session based on the impact model is then carried out to gain insights into the model and its utility for local government stakeholders. This thesis finds that carrying out decision-support investigations and creating serious games for New Zealand flood management problems is possible, but can be complex, time consuming and provide limited accuracy. It therefore concludes that widespread implementation of these methods is unlikely until national models have been improved and the process streamlined.
Gis Based Prediction Of Hurricane Flood Inundation
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Author :
language : en
Publisher:
Release Date : 2007
Gis Based Prediction Of Hurricane Flood Inundation written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with categories.
A simulation environment is being developed for the prediction and analysis of the inundation consequences for infrastructure systems from extreme flood events. This decision support architecture includes a GIS-based environment for model input development, simulation integration tools for meteorological, hydrologic, and infrastructure system models and damage assessment tools for infrastructure systems. The GIS-based environment processes digital elevation models (30-m from the USGS), land use/cover (30-m NLCD), stream networks from the National Hydrography Dataset (NHD) and soils data from the NRCS (STATSGO) to create stream network, subbasins, and cross-section shapefiles for drainage basins selected for analysis. Rainfall predictions are made by a numerical weather model and ingested in gridded format into the simulation environment. Runoff hydrographs are estimated using Green-Ampt infiltration excess runoff prediction and a 1D diffusive wave overland flow routing approach. The hydrographs are fed into the stream network and integrated in a dynamic wave routing module using the EPA's Storm Water Management Model (SWMM) to predict flood depth. The flood depths are then transformed into inundation maps and exported for damage assessment. Hydrologic/hydraulic results are presented for Tropical Storm Allison.
Adaptive Multi Reservoir Based Flood Control And Management For The Yellow River
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Author : Shengyang Li
language : en
Publisher: CRC Press
Release Date : 2013-06-26
Adaptive Multi Reservoir Based Flood Control And Management For The Yellow River written by Shengyang Li and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-26 with Computers categories.
The Yellow River experienced many major floods in the past, often with catastrophic effects for the North China Plain. After establishing the Yellow River Conservancy Commission (YRCC) of the Ministry of Water Resources, a number of reservoirs were constructed for flood control and water resources management. For the mid and lower Yellow River, the operation of the multi-reservoir system plays an essential role in minimizing possible damage in relevant regions. In order to deal with changing reservoir storage conditions and variable river discharges due to climate change, adaptive management procedures are required. At present the decision making process takes place in collective management meetings with the support of numerical simulations for flood simulation. There is a need to develop new software tools to achieve more effective decision support within precious lead time. Also, a special robust routing technique was needed as developed in this thesis for accurate and robust flood routing that can deal with multi-valued storage-release relations. Nowadays advanced numerical flood simulation models are available with great level of detail and high computational efficiency. Also, appropriate software architectures are capable of combining model-based simulation systems with a data-centered approach at near real-time operational performance. Case study applications show that such approach is feasible for the next generation software systems for adaptive management and decision support of complex river systems.