A Real-time Flood Forecasting and Flood Inundation Mapping System for the Lake Champ̂lain-Richelieu River Watershed

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Publisher :
ISBN 13 : 9780660040493
Total Pages : 92 pages
Book Rating : 4.0/5 (44 download)

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Book Synopsis A Real-time Flood Forecasting and Flood Inundation Mapping System for the Lake Champ̂lain-Richelieu River Watershed by :

Download or read book A Real-time Flood Forecasting and Flood Inundation Mapping System for the Lake Champ̂lain-Richelieu River Watershed written by and published by . This book was released on 2015 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Real-time Flood Forecasting and Flood Inundation Mapping System for the Lake Champlain-Richelieu River Watershed

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ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (993 download)

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Book Synopsis Real-time Flood Forecasting and Flood Inundation Mapping System for the Lake Champlain-Richelieu River Watershed by : Daniels

Download or read book Real-time Flood Forecasting and Flood Inundation Mapping System for the Lake Champlain-Richelieu River Watershed written by Daniels and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Near-real-time Simulation and Internet-based Delivery of Forecast-flood Inundation Maps Using Two-dimensional Hydraulic Modeling

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ISBN 13 :
Total Pages : 48 pages
Book Rating : 4.:/5 (31 download)

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Book Synopsis Near-real-time Simulation and Internet-based Delivery of Forecast-flood Inundation Maps Using Two-dimensional Hydraulic Modeling by : Joseph L. Jones

Download or read book Near-real-time Simulation and Internet-based Delivery of Forecast-flood Inundation Maps Using Two-dimensional Hydraulic Modeling written by Joseph L. Jones and published by . This book was released on 2002 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Near-Real-Time Simulation and Internet-Based Delivery of Forecast-Flood Inundation Maps Using Two-Dimensional Hydraulic Modeling: A Pilot Study of the Snoqualmie River, Washington

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Publisher : DIANE Publishing
ISBN 13 : 1428961038
Total Pages : 40 pages
Book Rating : 4.4/5 (289 download)

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Book Synopsis Near-Real-Time Simulation and Internet-Based Delivery of Forecast-Flood Inundation Maps Using Two-Dimensional Hydraulic Modeling: A Pilot Study of the Snoqualmie River, Washington by :

Download or read book Near-Real-Time Simulation and Internet-Based Delivery of Forecast-Flood Inundation Maps Using Two-Dimensional Hydraulic Modeling: A Pilot Study of the Snoqualmie River, Washington written by and published by DIANE Publishing. This book was released on with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Flood Forecasting

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Publisher : Elsevier
ISBN 13 : 0443140103
Total Pages : 498 pages
Book Rating : 4.4/5 (431 download)

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Book Synopsis Flood Forecasting by : Thomas E. Adams

Download or read book Flood Forecasting written by Thomas E. Adams and published by Elsevier. This book was released on 2024-09-27 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: Flood Forecasting: A Global Perspective, Second Edition covers hydrologic forecasting systems on both a national and regional scale. This updated edition includes a breakdown by county contribution and solutions to common issues with a wide range of approaches to address the difficulties inherent in the development, implementation and operational success of national-scale flood forecasting systems. Special attention is given to recent advances in machine learning techniques for flood forecasting. Overall, the information will lead to improvements of existing systems and provide a valuable reference on the intricacies of forecast systems in different parts of the world. Covers global and regional systems, thus allowing readers to understand the different forecasting systems and how they developed Offers practical applications for groups trying to improve existing flood forecasting systems Includes innovative solutions for those interested in developing new systems Contains analytical and updated information on forecasting and monitoring systems

River Basin Modelling for Flood Risk Mitigation

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Publisher : CRC Press
ISBN 13 : 9781439824702
Total Pages : 626 pages
Book Rating : 4.8/5 (247 download)

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Book Synopsis River Basin Modelling for Flood Risk Mitigation by : Donald Knight

Download or read book River Basin Modelling for Flood Risk Mitigation written by Donald Knight and published by CRC Press. This book was released on 2005-11-17 with total page 626 pages. Available in PDF, EPUB and Kindle. Book excerpt: Flooding accounts for one-third of natural disasters worldwide and for over half the deaths which occur as a result of natural disasters. As the frequency and volume of flooding increases, as a result of climate change, there is a new urgency amongst researchers and professionals working in flood risk management. River Basin Modelling for Flood Risk Mitigation brings together thirty edited papers by leading experts who gathered for the European Union’s Advanced Study Course at the University of Birmingham, UK. The scope of the course ranged from issues concerning the protection of life, to river restoration and wetland management. A variety of topics is covered in the book including climate change, hydro-informatics, hydro-meterology, river flow forecasting systems and dam-break modelling. The approach is broad, but integrated, providing an attractive and informative package that will satisfy researchers and professionals, while offering a sound introduction to students in Engineering and Geography.

Global Flood Hazard

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Publisher : John Wiley & Sons
ISBN 13 : 1119217903
Total Pages : 270 pages
Book Rating : 4.1/5 (192 download)

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Book Synopsis Global Flood Hazard by : Guy J-P. Schumann

Download or read book Global Flood Hazard written by Guy J-P. Schumann and published by John Wiley & Sons. This book was released on 2018-06-05 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

After the Flood

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Publisher :
ISBN 13 :
Total Pages : 332 pages
Book Rating : 4.:/5 (125 download)

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Book Synopsis After the Flood by : Emma Jane Spett

Download or read book After the Flood written by Emma Jane Spett and published by . This book was released on 2021 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: In April of 2011, heavy rainfall paired with snow melt from the Green and Adirondack Mountains caused unprecedented flooding in the Lake Champlain Richelieu River (LCRR) basin. A study was subsequently convened by the International Joint Commission (IJC), and was tasked with identifying how flood forecasting, preparedness, and mitigation could be improved in order to reduce the impact of flooding in this transboundary watershed, and build the greater community's resilience to flooding. A component of this study includes an assessment of the social acceptability and political feasibility of potential flood mitigation measures, which was in part carried out through the development and administration of a survey that assessed how residents of the LCRR basin perceive risk and engage with criteria used to make decisions regarding flood mitigation.The objective of this research is to provide insight into how members of the public in the LCRR basin consider flood risk and flood mitigation, and how those perceptions impact the feasibility of various flood mitigation measures, and can point policymakers in directions that are socially acceptable. To set the stage for the applied nature of this study, this thesis begins with an introduction to the operationalization of flood management research. That is followed by a review of relevant literature, including theories related to resilience of social-ecological systems, disaster resilience, and natural hazard risk perception. The third chapter of this thesis offers a case study of the social, political, and economic implications of the spring 2011 floods in the LCRR basin. Two articles are then presented. The first article uses the results of a household risk perception survey (N=151) designed and administered in 2019 to primarily investigate how flood experience, adoption of flood preparedness measures, and opinions regarding flood mitigation measures impact perceptions of flood risk. Socioeconomic and geographic variables are also considered. Findings indicate that perceptions of flood risk are primarily based on prior flood experiences, rather than dependent of characteristics that make respondents more vulnerable to flooding. Additionally, there are disconnects between perceptions of flood risk and likelihood of adopting preparedness measures, and where respondents get information versus who they trust for that information. In the second article, the results of a multi-criteria decision analysis from the same household risk perception survey are investigated. Respondents engaged with nine decision criteria, provided by the study, through ranking and scoring exercises. Results were assessed through a process called Technique for Ordered Preference Similarity to the Ideal Solution (TOPSIS), where the ranks and scores were weighted and normalized. Respondents were broken into a variety of clusters, and their ranks were assessed in comparison with other clusters. Findings indicate that respondents primarily preferred criteria which indicated altruistic outcomes from flood mitigation measures, although later rankings indicated significant variation based on demographic characteristics, geographic location, and flood experiences. This thesis concludes with a summary, policy implications, and recommendations for future research. A further investigation into the value of flood early warning systems is provided, in addition to an agenda for exploring these concepts more deeply.

Improving Flood Prediction Assimilating Uncertain Crowdsourced Data into Hydrologic and Hydraulic Models

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Publisher : CRC Press
ISBN 13 : 135164646X
Total Pages : 180 pages
Book Rating : 4.3/5 (516 download)

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Book Synopsis Improving Flood Prediction Assimilating Uncertain Crowdsourced Data into Hydrologic and Hydraulic Models by : Maurizio Mazzoleni

Download or read book Improving Flood Prediction Assimilating Uncertain Crowdsourced Data into Hydrologic and Hydraulic Models written by Maurizio Mazzoleni and published by CRC Press. This book was released on 2017-03-16 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Application of Rainfall-runoff Simulation for Flood Forecasting

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Publisher :
ISBN 13 :
Total Pages : 24 pages
Book Rating : 4.3/5 (121 download)

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Book Synopsis Application of Rainfall-runoff Simulation for Flood Forecasting by : John Peters

Download or read book Application of Rainfall-runoff Simulation for Flood Forecasting written by John Peters and published by . This book was released on 1993 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Flood Forecasting Using Machine Learning Methods

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Publisher : MDPI
ISBN 13 : 3038975486
Total Pages : 376 pages
Book Rating : 4.0/5 (389 download)

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Book Synopsis Flood Forecasting Using Machine Learning Methods by : Fi-John Chang

Download or read book Flood Forecasting Using Machine Learning Methods written by Fi-John Chang and published by MDPI. This book was released on 2019-02-28 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Novel Approaches to Simulate Flood Inundation from Manholes and Watersheds

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Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.6/5 (985 download)

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Book Synopsis Novel Approaches to Simulate Flood Inundation from Manholes and Watersheds by : Merhawi GebreEgziabher GebreMichael

Download or read book Novel Approaches to Simulate Flood Inundation from Manholes and Watersheds written by Merhawi GebreEgziabher GebreMichael and published by . This book was released on 2020 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Flood prediction and forecast for watershed and urban areas are critical for planning stormwater systems and assessing flood risks. While some hydrodynamic models can simulate flood inundation, most of these models are commercial and require large datasets and computational resources that limit their applications. This study developed two simplified and computationally efficient flood mapping models for delineating flood hazard zones using readily available datasets. The first model, flood inundation and recession model (FIRM), was developed using digital elevation maps to predict flooding associated with manhole overflow during and following flood events. The model was coupled with the 1D Storm Water Management Model (SWMM) to characterize the spatial extent and depth of manhole flooding and recession. I tested the coupled model for two manhole flooding events in Edmonds, WA. The results show a reasonable match between the observed and modeled flood areas, highlighting the importance of considering manholes in urban flood simulations. The second model delineates flood extent and depth at the catchment level using the NRCS curve number method for runoff productions at grids and a computationally efficient flood routing method. The gridded runoff estimated by the NRCS method is used as input to the flood inundation model that iteratively routes the runoff based on elevation variation, flood connectivity, and the assumption of level-water surface propagation. I tested the model using the recent flood event in the upper Umatilla River watershed. Several statistical criteria were used to evaluate the model's performance by comparing the simulation results with the reconstructed flood boundaries delineated using photos and drone videos during the flood event. The results demonstrate the model's ability to simulate and predict flood extent and depth accurately within the watershed. Due to its computational efficiency and its uses of readily available datasets, the model is suitable for near real-time flood forecast and early warning decisions. The model is also useful for determining the flood level associated with design storms obtained from the intensity-duration-frequency (IDF) curves, further improving stormwater system designs.

The Assessment, Improvement, and Application of the GeoFlood Flood Inundation Mapping Framework

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Publisher :
ISBN 13 :
Total Pages : 198 pages
Book Rating : 4.:/5 (126 download)

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Book Synopsis The Assessment, Improvement, and Application of the GeoFlood Flood Inundation Mapping Framework by : Alec Carruthers

Download or read book The Assessment, Improvement, and Application of the GeoFlood Flood Inundation Mapping Framework written by Alec Carruthers and published by . This book was released on 2020 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: GeoFlood is a flood inundation mapping package that utilizes a geodesic, cost minimization algorithm to extract channel networks from high resolution terrain data along with National Water Model forecasts and a Height Above Nearest Drainage approach to create near real time flood inundation maps. Earlier work has applied the GeoFlood framework at the scale of a single Hydrologic Unit Code 12 watershed, but this work extended the application to seven counties across the state of Texas. One meter resolution lidar digital elevation models were generated for each county and segmented by watershed, resulting in approximately 400 gigabytes of input data. Two cost functions were found to improve the channel network extraction capabilities. The unique aspect of the first cost function was the inclusion of a cost threshold, which served to increase the penalty for pixels that had a cost above a given limit, thereby restricting the extracted channel to only the minimum cost path and preventing shortcuts. A second cost function, featuring a binary representation of the National Hydrography Data high resolution flowlines, was used to improve the performance of the threshold based cost function in the presence of artificial features or within low relief topography. Four variations of a channel bed slope calculation were tested, two that were end point based and two that utilized a linear regression. The end point based methods were shown to have synthetic rating curves with a smaller percent error and variance across the first three meters of stage height, as well as less area separation from the corresponding United States Geological Survey synthetic rating curves than the regression based methods. Identification of the reaches in which the slope calculation method was most significant was conducted by analyzing the variance and standard deviation across the four computed slopes. Artificial and canal reaches at a low level (1 - 2) and high stream order (5 - 7) were found to have the most variance across their computed slopes. A reach being hydro-flattened was determined to most likely not be the sole limiting factor when it comes to the accuracy of GeoFlood derived products. An approximately equal number of low and high error synthetic rating curves were produced from hydro-flattened reaches. While improvement to the model can always be made, the application of GeoFlood across seven counties in Texas, using high resolution terrain data, was a step forward in regard to showing that GeoFlood can be applied to larger study areas than just a single watershed, including the potential for statewide and or national implementation

Incorporation of Uncertainties in Real-time Catchment Flood Forecasting

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Publisher :
ISBN 13 :
Total Pages : 220 pages
Book Rating : 4.:/5 (31 download)

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Book Synopsis Incorporation of Uncertainties in Real-time Catchment Flood Forecasting by : Charles Steven Melching

Download or read book Incorporation of Uncertainties in Real-time Catchment Flood Forecasting written by Charles Steven Melching and published by . This book was released on 1987 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Generalized Real-time Flood Control System Model

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Publisher :
ISBN 13 :
Total Pages : 20 pages
Book Rating : 4.3/5 (121 download)

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Book Synopsis Generalized Real-time Flood Control System Model by : Bill Scott Eichert

Download or read book Generalized Real-time Flood Control System Model written by Bill Scott Eichert and published by . This book was released on 1982 with total page 20 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive series of interconnected computer models are described which assist water control managers in operating reservoir systems during real-time flood emergencies. The need for and the desirable features of a transportable comprehensive software system are presented along with a description of the various computer models developed for this purpose by the Hydrologic Engineering Center of the U.S. Army Corps of Engineers. The functions, capabilities and inerties of the Data Management, Operation, Forecast and Display computer modules used in this software system are described and an example application of this system on one of the Corps' reservoir systems is presented. (Author).

A Methodology for Developing GIS-based Probabilistic Riverine Flood Inundation Maps for Tona Wanda Creek in Western New York

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Publisher :
ISBN 13 :
Total Pages : 89 pages
Book Rating : 4.:/5 (87 download)

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Book Synopsis A Methodology for Developing GIS-based Probabilistic Riverine Flood Inundation Maps for Tona Wanda Creek in Western New York by : Johnathan P. Kirk

Download or read book A Methodology for Developing GIS-based Probabilistic Riverine Flood Inundation Maps for Tona Wanda Creek in Western New York written by Johnathan P. Kirk and published by . This book was released on 2013 with total page 89 pages. Available in PDF, EPUB and Kindle. Book excerpt: To address the uncertainties of river flood forecasting and to contribute a new visualization for flood mapping, this study outlines a methodology for creating dynamic probabilistic flood inundation maps for a floodplain which currently lacks dynamic flood maps of any kind. To create these maps, a hydrologic model is specially constructed using HEC-RAS for a segment of the Tonawanda Creek in western New York. The model is constructed using pre-existing, publically available data, including a LiDAR digital elevation model, real-time discharge observations from a USGS-maintained gauge on the creek, and other characteristics of the creek's bathymetry derived from previous flood insurance studies. The model is then used to create inundation rasters based on selected initial discharges. To determine probabilities, predicted peak discharges for the Tonawanda Creek are first collected from the Meteorological Model-based Ensemble Forecast System (MMEFS), which generates predictions of various hydrometeorological parameters in real-time, and are used to create a suite of inundation rasters, one for each individual peak discharge prediction. These inundation rasters are then overlaid and the probabilities are calculated by grid cell based on how many inundations overlap. The resulting map depicts the range of flooding extent probabilities based on the real-time forecast. An alternative probabilistic map is also devised to depict the depth of flooding given a flood event's probability. The 10th, 50th, and 90th percentiles are calculated for the forecast ensemble's peak discharge predictions. These percentiles correspond to benchmarks of flooding likelihood, such that the 10th percentile indicates a 90% likely flood event, 50th percentile a 50% event, and 90th percentile a 10% event. Once completed, the maps are qualitatively evaluated for potential applications in predicting flood events and mitigating flood-induced damages.

Stochastic Flood Forecasting System

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Publisher : Springer
ISBN 13 : 3319188542
Total Pages : 205 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Stochastic Flood Forecasting System by : Renata J. Romanowicz

Download or read book Stochastic Flood Forecasting System written by Renata J. Romanowicz and published by Springer. This book was released on 2015-06-29 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the novel formulation and development of a Stochastic Flood Forecasting System, using the Middle River Vistula basin in Poland as a case study. The system has a modular structure, including models describing the rainfall-runoff and snow-melt processes for tributary catchments and the transformation of a flood wave within the reach. The sensitivity and uncertainty analysis of the elements of the study system are performed at both the calibration and verification stages. The spatial and temporal variability of catchment land use and river flow regime based on analytical studies and measurements is presented. A lumped parameter approximation to the distributed modelling of river flow is developed for the purpose of flow forecasting. Control System based emulators (Hammerstein-Wiener models) are applied to on-line data assimilation. Medium-range probabilistic weather forecasts (ECMWF) and on-line observations of temperature, precipitation and water levels are used to prolong the forecast lead time. The potential end-users will also benefit from a description of social vulnerability to natural hazards in the study area.