TRIDEC Cloud @ Tsunami Decision Support Systems 2015, 2-3 July 2015, Ispra, I...Martin Hammitzsch
The document describes the TRIDEC Cloud platform, which provides a cloud-based decision support system for early warning and rapid response to natural hazards. Key points:
- TRIDEC Cloud uses modern cloud computing technologies to provide a globally accessible, scalable platform for monitoring hazards, running simulations, generating warnings, and facilitating collaboration.
- The platform integrates real-time and historical earthquake and sea level data and allows users to monitor events, manually or automatically run tsunami simulations, and generate and disseminate warning messages.
- TRIDEC Cloud supports training and exercises through a virtual scenario player and was tested in collaborative exercises for tsunami warning in the northeast Atlantic, Mediterranean, and Europe regions.
SIMULATION OF DRAINAGE IN VIT BY SWMM SOFTWAREvivatechijri
The document summarizes a study that uses the Storm Water Management Model (SWMM) software to simulate drainage in the area surrounding Viva Institute of Technology (VIT) building in order to address flooding issues during monsoon season. Data on rainfall, drainage systems, and topography of the area were collected and input into SWMM to simulate stormwater runoff and check for overflow of the drainage system. The results of the simulations using different drainage system dimensions were analyzed to determine a suitable design that would not result in overflow even during high rainfall amounts. Proposed solutions from the study aim to decrease stormwater runoff and flooding chances in the area.
Use case of Disaster Management System by using Geopaparazzi and MapGuide Ope...Hirofumi Hayashi
In recent years, large-scale disasters have occurred in the countries of
Asia including Japan, rapid collection and sharing of disaster information
is required in order to provide relief and support speedy restoration
of civic services. This presentation discusses the integration and customization
of FOSS4G field survey tools and Web GIS server to facilitate
aggregation and rapid sharing of disaster related field information.
Further, the system also provide realtime interaction between field party and
coordination team. A case study of practical use of the system at the Osaka Water
General Service (OWGS) Corporation will be demonstrated to present the salient
features of the system. The main capability of the system usability is normal
as well as disaster situation will be highlighted.
This document summarizes flood modeling techniques using high resolution LIDAR data. It discusses how flood extent models, flood depth models, 3D flood modeling, and flood animations can be created. Flood extent models define the spatial extent of flooding, while flood depth models represent actual flood water depths. 3D modeling and animations help visualize flood scenarios. The models require accurate elevation data from LIDAR and can provide valuable information for flood risk assessment and planning.
DSD-INT 2018 Flood modeling in rural areas due to extreme precipitation or le...Deltares
Presentation by Govert Verhoeven (Deltares) at the Delft3D - User Days (Day 1: Hydrology and hydrodynamics), during Delft Software Days - Edition 2018. Monday, 12 November 2018, Delft.
Floods are the most common natural disasters globally, affecting over 2 billion people between 1998-2017. When floods occur in inhabited areas, they cause immediate disruption to transportation and damage to infrastructure. In the long-term, flood waters remaining for long periods pose health hazards and delays in restoring infrastructure. As wide-ranging events, floods disrupt society from days to years by damaging homes, crops, and isolating communities. Satellite imagery and cloud computing can be used to automatically map flood extent and exposure of populations and agriculture. While providing timely information, these methods have limitations and cannot determine flood intensities needed for infrastructure planning.
TRIDEC Cloud @ Tsunami Decision Support Systems 2015, 2-3 July 2015, Ispra, I...Martin Hammitzsch
The document describes the TRIDEC Cloud platform, which provides a cloud-based decision support system for early warning and rapid response to natural hazards. Key points:
- TRIDEC Cloud uses modern cloud computing technologies to provide a globally accessible, scalable platform for monitoring hazards, running simulations, generating warnings, and facilitating collaboration.
- The platform integrates real-time and historical earthquake and sea level data and allows users to monitor events, manually or automatically run tsunami simulations, and generate and disseminate warning messages.
- TRIDEC Cloud supports training and exercises through a virtual scenario player and was tested in collaborative exercises for tsunami warning in the northeast Atlantic, Mediterranean, and Europe regions.
SIMULATION OF DRAINAGE IN VIT BY SWMM SOFTWAREvivatechijri
The document summarizes a study that uses the Storm Water Management Model (SWMM) software to simulate drainage in the area surrounding Viva Institute of Technology (VIT) building in order to address flooding issues during monsoon season. Data on rainfall, drainage systems, and topography of the area were collected and input into SWMM to simulate stormwater runoff and check for overflow of the drainage system. The results of the simulations using different drainage system dimensions were analyzed to determine a suitable design that would not result in overflow even during high rainfall amounts. Proposed solutions from the study aim to decrease stormwater runoff and flooding chances in the area.
Use case of Disaster Management System by using Geopaparazzi and MapGuide Ope...Hirofumi Hayashi
In recent years, large-scale disasters have occurred in the countries of
Asia including Japan, rapid collection and sharing of disaster information
is required in order to provide relief and support speedy restoration
of civic services. This presentation discusses the integration and customization
of FOSS4G field survey tools and Web GIS server to facilitate
aggregation and rapid sharing of disaster related field information.
Further, the system also provide realtime interaction between field party and
coordination team. A case study of practical use of the system at the Osaka Water
General Service (OWGS) Corporation will be demonstrated to present the salient
features of the system. The main capability of the system usability is normal
as well as disaster situation will be highlighted.
This document summarizes flood modeling techniques using high resolution LIDAR data. It discusses how flood extent models, flood depth models, 3D flood modeling, and flood animations can be created. Flood extent models define the spatial extent of flooding, while flood depth models represent actual flood water depths. 3D modeling and animations help visualize flood scenarios. The models require accurate elevation data from LIDAR and can provide valuable information for flood risk assessment and planning.
DSD-INT 2018 Flood modeling in rural areas due to extreme precipitation or le...Deltares
Presentation by Govert Verhoeven (Deltares) at the Delft3D - User Days (Day 1: Hydrology and hydrodynamics), during Delft Software Days - Edition 2018. Monday, 12 November 2018, Delft.
Floods are the most common natural disasters globally, affecting over 2 billion people between 1998-2017. When floods occur in inhabited areas, they cause immediate disruption to transportation and damage to infrastructure. In the long-term, flood waters remaining for long periods pose health hazards and delays in restoring infrastructure. As wide-ranging events, floods disrupt society from days to years by damaging homes, crops, and isolating communities. Satellite imagery and cloud computing can be used to automatically map flood extent and exposure of populations and agriculture. While providing timely information, these methods have limitations and cannot determine flood intensities needed for infrastructure planning.
A GIS for Flood Risk Management in Flander.docxhome
A GIS for Flood Risk Management in Flander
This chapter presents a concise overview of LATIS' methodology and its implementation for flood risk management in. Flanders.
Presentation by Olivier Barbet, ISL Ingénierie, France, and Eelco Verschelling, Deltares, The Netherlands, at the Delft3D - User Days (Day 1: Hydrology and hydrodynamics), during Delft Software Days - Edition 2019. Monday, 11 November 2019, Delft.
DSD-INT 2023 Exploring flash flood hazard reduction in arid regions using a h...Deltares
Presentation by Nabil Khorchani (IHE Delft Institute for Water Education, Netherlands) at the Delft3D User Days, during the Delft Software Days - Edition 2023 (DSD-INT 2023). Tuesday, 14 November 2023, Delft.
Urban Disaster Prevention Policies in KoreaByoungjaeBJLee
'Urban Disaster Prevention Policies in Korea' at 2018 UNESCAP Capacity Building Program (Spatial data and Technologies for Urban Planning and Disaster Management)
This document discusses two types of rainfall analysis curves:
1. Depth-Area-Duration (DAD) curves which are created by examining rainfall records, identifying severe storms, mapping rainfall contours, and plotting rainfall depths over areas for different durations. DAD curves can be used to determine rainfall depths for a catchment area if a severe storm was centered over it.
2. Intensity Duration Frequency (IDF) curves which involve frequency analysis of station rainfall data using extreme value distributions. The results are plotted on log-log paper and are used for design of infrastructure like bridges and culverts.
The document describes an AI system for flood forecasting using multiple agents. The system includes agents for a hydrology database, collecting flood-related variables, sending notifications, managing a virtual emergency operations center, and generating reports. The performance is measured based on safety, timeliness, location accuracy, message clarity, and risk reduction. The environment involves factors like storms, weather, temperature, water levels, and is deterministic, dynamic, multi-agent, and continuous. The system aims to improve flood forecasting accuracy and lead times to help governments and disaster management agencies issue more effective warnings.
Application Of Deep Learning On UAV-Based Aerial Images For Flood DetectionTodd Turner
This document discusses using deep learning techniques on aerial images captured by UAVs to detect floods in near real-time. The key points are:
1) UAVs can capture high-resolution images faster than satellites and do not require internet connectivity, overcoming issues with current flood detection methods.
2) A case study tested detecting buildings and roads from UAV images using Haar cascade classification, achieving 91% and 94% accuracy.
3) A deep learning model was trained on the detected landmarks to classify images as flooded or non-flooded, achieving an overall accuracy of 91%.
This document outlines a student project to plan and design a stormwater drainage system in Mbogwe, Geita, Tanzania. The project aims to address flooding issues during rainy seasons by designing an open channel drainage system over 1.2 km from the accumulation point to a discharge area. Methodology includes determining peak discharge using the Rational Method, topographical surveying, hydraulic design of the open channel using Manning's equation, and assessing water quality for potential rice cultivation. The student provides background on the area and problem statement, objectives, scope of work, significance, literature review, methodology, schedule, budget, and references.
IRJET- Preparation of Flood Model and Hazard Estimation on Yamuna River (...IRJET Journal
1. The document describes a study that used GIS and remote sensing techniques to create flood models and estimate flood hazards along the Yamuna River in Delhi, India.
2. The study analyzed satellite imagery to identify flood-prone areas, calculate the extent of flooded areas during extreme events, and assess flood risks to infrastructure, agriculture lands, and urban areas.
3. The results indicated approximately 19.5 square kilometers of land within 500 meters of the Yamuna River boundary is affected by floods, including over 2.8 square kilometers of urban settlements and 2.1 square kilometers of forest area. Thematic maps were generated to visualize the flood risk to different geographical features.
APPLICATIONS OF RS AND GIS FOR DEVELOPMENT OF SMALL HYDROPOWER PLANTS (SHP)Abhiram Kanigolla
This document discusses using GIS and remote sensing tools to assess small hydropower potential in a systematic way. It describes how digital elevation models and satellite imagery can be used to map water resources and estimate energy potential from small hydro sites. GIS allows for integration of spatial data layers and rapid evaluation of sites over large areas. Case studies demonstrate how these tools were applied to identify suitable locations for small hydro projects in India and evaluate their technical and economic feasibility in a sustainable manner.
Flood and Landslide Impact Components for the OGC 2021 Disaster Pilot using FMESafe Software
The impact of natural disasters is only growing in a world increasingly impacted by climate change. Open standards are one of the keys to providing tools and data to meet this challenge. Safe Software was an active participant in the OGC's 2021 Disaster Pilot and provided several critical components to support data extraction, transformation, integration, and automation. This presentation will review the components that Safe provided using the FME platform, including examples across the data value chain from extracting source data through building analysis-ready data to driving indicators and publishing results to the cloud. In particular, we focused on flood scenarios in Manitoba and BC and landslides in BC. We will also review how the FME tools interacted with other components via OGC standards.
Remote Sensing Method for Flood Management SystemIJMREMJournal
Flood occurred when heavy and continuous rainfall exceeding the absorptive capacity of soil and the flow
capacity of rivers, streams, and coastal areas. Land areas that are most subjected to floods are areas situated
adjacent to rivers and streams, that are known as floodplain and therefore considered as “flood-prone”. These
areas are hazardous to development activities if the vulnerability of those activities exceeds an acceptable level.
The main objectives of this study are; to identify floodplains and other susceptible areas, and to assess the
extent of disaster impact in the study area which is located at Kota Tinggi, Johor, Malaysia. This area
experienced an unprecedented flood during December of 2006 to January of 2007.Questions such as how often
and how long the floodplain will be covered by water, and at what time of year flooding can be expected need to
be answered. Thus, an understanding of the dynamic nature of floodplains is greatly required. Multi-temporal
Radarsat-1images, Landsat ETM+ image, topographical maps and land use maps were used in this study for
the purpose of delineating the flood extend before, during and after the flood event. DEM acquired from
topographic map is used to derive flood depth. The final outputs of this study are flood extent and flood depth
maps where both of these maps show the impact of the flood to environment, lives and properties. This map is
also important and can be applied to develop a comprehensive relief effort immediately after flooding.
DSD-INT 2023 Surrogate model for real time urban pluvial flood inundation map...Deltares
Presentation by Daan Buekenhout (KU Leuven, Belgium) at the Symposium on Emulating 2D flood modelling, during the Delft Software Days - Edition 2023 (DSD-INT 2023). Wednesday, 27 September 2023, Delft.
Futoshi Yamauchi, Yanyan Liu, James Warner and Noam David
The 8th Tokyo International Conference on African Development (TICAD8)
Side Event: How Japan’s know-how can help address Africa’s food and nutrition challenges: Interventions and impacts
SEP 28, 2022 - 6:00 TO 7:30PM JST
Geospatial Open Data and Urban Growth Modelling for Evidence-based Decision M...Piyush Yadav
This document provides an overview of using geospatial data and urban growth modeling for evidence-based decision making in smart cities. It discusses using satellite imagery and classification techniques to model urban growth over time. A hidden Markov model is proposed that incorporates temporal factors like GDP and interest rates to better predict land use and land cover changes. A case study of modeling urban growth in Pune, India from 2001-2014 is presented using Landsat satellite imagery and temporal data on economic and population indicators.
DSD-INT 2017 Aqueduct Global Flood Analyzer 2.0 - WinsemiusDeltares
Presentation by Hessel Winsemius (Deltares) at the Symposium Earth Observation and Data Science, during Delft Software Days - Edition 2017. Thursday, 2 November 2017, Delft.
This study report summarizes a flood simulation analysis conducted for Surabaya City using the Nays2D flood model. The objectives were to simulate past flood events to identify flood routing, inundation areas, and flooded velocity magnitudes. The analysis used a 2D flood model with topographic data, roughness coefficients, and observed discharge data as boundary conditions. The initial results showed limitations in representing flood routing along rivers. Adjusting the river data and roughness coefficients improved routing but larger domains may be needed. Future tasks include validating results against additional data and tributaries to reduce biases.
This document summarizes a presentation given by T. Peters of Deltares on developments in levee safety and the IJkdijk project. The presentation introduced Deltares and discussed flood protection in the Netherlands. It described the smart levee concept which combines sensor technology and levee engineering. The IJkdijk project was highlighted as a field test of new sensor technologies and knowledge of failure mechanisms. DAM software was presented as a tool for automated levee assessment, real-time failure forecasting, and improving levee lifecycle management. In conclusion, sensor technology, data integration, and early warning systems were discussed as keys to addressing new flood protection challenges from climate change.
This document summarizes a presentation given by T. Peters of Deltares on developments in levee safety and the IJkdijk project. The presentation introduced Deltares and discussed flood protection in the Netherlands. It described the smart levee concept which combines sensor technology and levee engineering. The IJkdijk project was highlighted as a field test of new sensor technologies and knowledge of failure mechanisms. DAM software was presented as a tool for automated levee assessment, real-time failure forecasting, and improving levee lifecycle management. In conclusion, sensor technology, data integration, and early warning systems were discussed as keys to addressing new flood protection challenges from climate change.
This document summarizes a presentation given by T. Peters of Deltares on developments in levee safety and the IJkdijk project. The presentation introduced Deltares and discussed flood protection in the Netherlands. It described the smart levee concept which combines sensor technology and levee engineering. The IJkdijk project was highlighted as a field test of new sensor technologies and knowledge of failure mechanisms. DAM software was presented as a tool for automated levee assessment, real-time failure forecasting, and improving levee lifecycle management. In conclusion, sensor technology, data integration, and early warning systems were discussed as keys to addressing new flood protection challenges from climate change.
A GIS for Flood Risk Management in Flander.docxhome
A GIS for Flood Risk Management in Flander
This chapter presents a concise overview of LATIS' methodology and its implementation for flood risk management in. Flanders.
Presentation by Olivier Barbet, ISL Ingénierie, France, and Eelco Verschelling, Deltares, The Netherlands, at the Delft3D - User Days (Day 1: Hydrology and hydrodynamics), during Delft Software Days - Edition 2019. Monday, 11 November 2019, Delft.
DSD-INT 2023 Exploring flash flood hazard reduction in arid regions using a h...Deltares
Presentation by Nabil Khorchani (IHE Delft Institute for Water Education, Netherlands) at the Delft3D User Days, during the Delft Software Days - Edition 2023 (DSD-INT 2023). Tuesday, 14 November 2023, Delft.
Urban Disaster Prevention Policies in KoreaByoungjaeBJLee
'Urban Disaster Prevention Policies in Korea' at 2018 UNESCAP Capacity Building Program (Spatial data and Technologies for Urban Planning and Disaster Management)
This document discusses two types of rainfall analysis curves:
1. Depth-Area-Duration (DAD) curves which are created by examining rainfall records, identifying severe storms, mapping rainfall contours, and plotting rainfall depths over areas for different durations. DAD curves can be used to determine rainfall depths for a catchment area if a severe storm was centered over it.
2. Intensity Duration Frequency (IDF) curves which involve frequency analysis of station rainfall data using extreme value distributions. The results are plotted on log-log paper and are used for design of infrastructure like bridges and culverts.
The document describes an AI system for flood forecasting using multiple agents. The system includes agents for a hydrology database, collecting flood-related variables, sending notifications, managing a virtual emergency operations center, and generating reports. The performance is measured based on safety, timeliness, location accuracy, message clarity, and risk reduction. The environment involves factors like storms, weather, temperature, water levels, and is deterministic, dynamic, multi-agent, and continuous. The system aims to improve flood forecasting accuracy and lead times to help governments and disaster management agencies issue more effective warnings.
Application Of Deep Learning On UAV-Based Aerial Images For Flood DetectionTodd Turner
This document discusses using deep learning techniques on aerial images captured by UAVs to detect floods in near real-time. The key points are:
1) UAVs can capture high-resolution images faster than satellites and do not require internet connectivity, overcoming issues with current flood detection methods.
2) A case study tested detecting buildings and roads from UAV images using Haar cascade classification, achieving 91% and 94% accuracy.
3) A deep learning model was trained on the detected landmarks to classify images as flooded or non-flooded, achieving an overall accuracy of 91%.
This document outlines a student project to plan and design a stormwater drainage system in Mbogwe, Geita, Tanzania. The project aims to address flooding issues during rainy seasons by designing an open channel drainage system over 1.2 km from the accumulation point to a discharge area. Methodology includes determining peak discharge using the Rational Method, topographical surveying, hydraulic design of the open channel using Manning's equation, and assessing water quality for potential rice cultivation. The student provides background on the area and problem statement, objectives, scope of work, significance, literature review, methodology, schedule, budget, and references.
IRJET- Preparation of Flood Model and Hazard Estimation on Yamuna River (...IRJET Journal
1. The document describes a study that used GIS and remote sensing techniques to create flood models and estimate flood hazards along the Yamuna River in Delhi, India.
2. The study analyzed satellite imagery to identify flood-prone areas, calculate the extent of flooded areas during extreme events, and assess flood risks to infrastructure, agriculture lands, and urban areas.
3. The results indicated approximately 19.5 square kilometers of land within 500 meters of the Yamuna River boundary is affected by floods, including over 2.8 square kilometers of urban settlements and 2.1 square kilometers of forest area. Thematic maps were generated to visualize the flood risk to different geographical features.
APPLICATIONS OF RS AND GIS FOR DEVELOPMENT OF SMALL HYDROPOWER PLANTS (SHP)Abhiram Kanigolla
This document discusses using GIS and remote sensing tools to assess small hydropower potential in a systematic way. It describes how digital elevation models and satellite imagery can be used to map water resources and estimate energy potential from small hydro sites. GIS allows for integration of spatial data layers and rapid evaluation of sites over large areas. Case studies demonstrate how these tools were applied to identify suitable locations for small hydro projects in India and evaluate their technical and economic feasibility in a sustainable manner.
Flood and Landslide Impact Components for the OGC 2021 Disaster Pilot using FMESafe Software
The impact of natural disasters is only growing in a world increasingly impacted by climate change. Open standards are one of the keys to providing tools and data to meet this challenge. Safe Software was an active participant in the OGC's 2021 Disaster Pilot and provided several critical components to support data extraction, transformation, integration, and automation. This presentation will review the components that Safe provided using the FME platform, including examples across the data value chain from extracting source data through building analysis-ready data to driving indicators and publishing results to the cloud. In particular, we focused on flood scenarios in Manitoba and BC and landslides in BC. We will also review how the FME tools interacted with other components via OGC standards.
Remote Sensing Method for Flood Management SystemIJMREMJournal
Flood occurred when heavy and continuous rainfall exceeding the absorptive capacity of soil and the flow
capacity of rivers, streams, and coastal areas. Land areas that are most subjected to floods are areas situated
adjacent to rivers and streams, that are known as floodplain and therefore considered as “flood-prone”. These
areas are hazardous to development activities if the vulnerability of those activities exceeds an acceptable level.
The main objectives of this study are; to identify floodplains and other susceptible areas, and to assess the
extent of disaster impact in the study area which is located at Kota Tinggi, Johor, Malaysia. This area
experienced an unprecedented flood during December of 2006 to January of 2007.Questions such as how often
and how long the floodplain will be covered by water, and at what time of year flooding can be expected need to
be answered. Thus, an understanding of the dynamic nature of floodplains is greatly required. Multi-temporal
Radarsat-1images, Landsat ETM+ image, topographical maps and land use maps were used in this study for
the purpose of delineating the flood extend before, during and after the flood event. DEM acquired from
topographic map is used to derive flood depth. The final outputs of this study are flood extent and flood depth
maps where both of these maps show the impact of the flood to environment, lives and properties. This map is
also important and can be applied to develop a comprehensive relief effort immediately after flooding.
DSD-INT 2023 Surrogate model for real time urban pluvial flood inundation map...Deltares
Presentation by Daan Buekenhout (KU Leuven, Belgium) at the Symposium on Emulating 2D flood modelling, during the Delft Software Days - Edition 2023 (DSD-INT 2023). Wednesday, 27 September 2023, Delft.
Futoshi Yamauchi, Yanyan Liu, James Warner and Noam David
The 8th Tokyo International Conference on African Development (TICAD8)
Side Event: How Japan’s know-how can help address Africa’s food and nutrition challenges: Interventions and impacts
SEP 28, 2022 - 6:00 TO 7:30PM JST
Geospatial Open Data and Urban Growth Modelling for Evidence-based Decision M...Piyush Yadav
This document provides an overview of using geospatial data and urban growth modeling for evidence-based decision making in smart cities. It discusses using satellite imagery and classification techniques to model urban growth over time. A hidden Markov model is proposed that incorporates temporal factors like GDP and interest rates to better predict land use and land cover changes. A case study of modeling urban growth in Pune, India from 2001-2014 is presented using Landsat satellite imagery and temporal data on economic and population indicators.
DSD-INT 2017 Aqueduct Global Flood Analyzer 2.0 - WinsemiusDeltares
Presentation by Hessel Winsemius (Deltares) at the Symposium Earth Observation and Data Science, during Delft Software Days - Edition 2017. Thursday, 2 November 2017, Delft.
This study report summarizes a flood simulation analysis conducted for Surabaya City using the Nays2D flood model. The objectives were to simulate past flood events to identify flood routing, inundation areas, and flooded velocity magnitudes. The analysis used a 2D flood model with topographic data, roughness coefficients, and observed discharge data as boundary conditions. The initial results showed limitations in representing flood routing along rivers. Adjusting the river data and roughness coefficients improved routing but larger domains may be needed. Future tasks include validating results against additional data and tributaries to reduce biases.
This document summarizes a presentation given by T. Peters of Deltares on developments in levee safety and the IJkdijk project. The presentation introduced Deltares and discussed flood protection in the Netherlands. It described the smart levee concept which combines sensor technology and levee engineering. The IJkdijk project was highlighted as a field test of new sensor technologies and knowledge of failure mechanisms. DAM software was presented as a tool for automated levee assessment, real-time failure forecasting, and improving levee lifecycle management. In conclusion, sensor technology, data integration, and early warning systems were discussed as keys to addressing new flood protection challenges from climate change.
This document summarizes a presentation given by T. Peters of Deltares on developments in levee safety and the IJkdijk project. The presentation introduced Deltares and discussed flood protection in the Netherlands. It described the smart levee concept which combines sensor technology and levee engineering. The IJkdijk project was highlighted as a field test of new sensor technologies and knowledge of failure mechanisms. DAM software was presented as a tool for automated levee assessment, real-time failure forecasting, and improving levee lifecycle management. In conclusion, sensor technology, data integration, and early warning systems were discussed as keys to addressing new flood protection challenges from climate change.
This document summarizes a presentation given by T. Peters of Deltares on developments in levee safety and the IJkdijk project. The presentation introduced Deltares and discussed flood protection in the Netherlands. It described the smart levee concept which combines sensor technology and levee engineering. The IJkdijk project was highlighted as a field test of new sensor technologies and knowledge of failure mechanisms. DAM software was presented as a tool for automated levee assessment, real-time failure forecasting, and improving levee lifecycle management. In conclusion, sensor technology, data integration, and early warning systems were discussed as keys to addressing new flood protection challenges from climate change.
Similar to nteractive visual analysis of flood scnarios using large-scale LiDAR point clouds (20)
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
Towards Distributed, Semi-Automatic Content-Based Visual Information Retrieva...Christian Kehl
Talk on big media archive visual indexing using Convolutional Neural Networks on different High-Performance Computing Platforms, developing new parametrization schemes. Talk and Poster were presented at International Supercomputing Conference 2015 (Frankfurt a. Main / Germany)
Distributed Rendering and Collaborative User Navigation- and Scene Manipulati...Christian Kehl
This document discusses distributed rendering and collaborative user navigation and scene manipulation in virtual environments. It presents an approach to extend an existing virtual reality framework to allow remote, distributed rendering on various display devices as well as remote, collaborative navigation and editing of massive 3D datasets. Technical results show the framework can successfully synchronize distributed rendering and enable collaborative navigation and modification of 3D scenes in real-time. This allows multiple remote users to interactively discuss and communicate changes to virtual environments, with potential applications in flood protection planning and other domains. Future work aims to improve the techniques for touch and mobile devices and simplify data for remote clients.
Conformal multi-material mesh generation from labelled medical volumes (Dec 2...Christian Kehl
This document discusses generating volume meshes from labelled medical volumes for finite element analysis (FEA). It introduces a new approach using the integer medial axis (IMA) transform to generate meshes faster and with fewer elements than previous methods while maintaining precision at boundaries. The IMA approach generates meshes up to 100x faster than other methods for test cases. Local surface triangulation in tangent planes is also proposed to mesh sparse samples accurately without oversampling. Future work will explore using natural neighbors for neighborhood determination in local triangulation.
Interactive Simulation and Visualization of Large-Scale Flooding Scenarios (J...Christian Kehl
This document discusses interactive simulation and visualization of large-scale flooding scenarios. It covers topics such as real-time 3D visualization of massive LiDAR point clouds, interactive adaptive simulation of flooding scenarios, and multi-scenario comparative simulation visualization. The goal is to develop techniques to simulate and visualize different flooding scenarios and uncertainties to help decision makers and the general public understand the risks and impacts of potential flooding events.
Efficient Navigation in Temporal, Multi-Dimensional Point Sets (April 2013)Christian Kehl
1. The document discusses algorithms and techniques for efficient navigation of temporal, multi-dimensional point set data.
2. A goal is to develop visualization algorithms that support user navigation through time-series data, including real-time rendering, user-centered browsing, and navigation via visual summaries.
3. The research will focus on scalable rendering and visualization of time-dependent point sets, efficient browsing of time-dependent datasets, and navigation using visual summaries to guide users through important events.
Smooth, Interactive Rendering and On-line Modification of Large-Scale, Geospa...Christian Kehl
This document discusses techniques for interactively rendering and modifying large-scale geospatial LiDAR point set data. It proposes a rendering-on-budget approach that combines importance-based streaming with a PID controller to balance load. This allows for smooth rendering while modifying streamed data online without quality loss. Proof of concepts demonstrate modifying attributes like color via polygons or textures, and displacing vertices using displacement maps. Performance is improved over traditional level-of-detail approaches.
WP 4 – Interactive simulation and 3D visualization for water policy developme...Christian Kehl
This document describes methods for interactive 3D simulation and visualization of water policies. It discusses using large high-resolution topographic data integrated with flood simulations to understand flood protection policies. Methods include level-of-detail rendering to efficiently display large datasets, geospatial data integration using KML and triangulated meshes, and continuous temporal interpolation to animate realistic wave simulations in real-time. Use cases apply these methods to study historic floods in locations like Wieringermeer and visualize the 1953 North Sea flood for policy discussions. The results allow interactive exploration of urban flood studies with smooth level-of-detail transitions and animated water levels.
Master Thesis: Conformal multi-material mesh generation from labelled medical...Christian Kehl
An important step in orthopaedic pre-operative planning is the generation of accurate volume meshes out of segmented volume image. These meshes are used in patient-specific, bio-mechanical finite element simulations to optimize positioning and design of implants. The development of accurate, multi-material volume meshing methods for medical applications is an active and interdisciplinary field of research. Several methods in the field that were proposed in recent years claim to accurately perform the task, each concept with its advantages and disadvantages. The approaches to the task are diverse. The question is: Which approach is the most suitable one? How do we evaluate the excellence of such methods ? What criteria can be applied to measure the quality of a multi-labelled volume mesh ? And which ones have the most impact on the subsequent simulation, so that stress calculations on the implant are realistic and correct ?
These are the basic research questions that are discussed in this work.
This document provides an overview of different types of LiDAR acquisition methods. Aerial LiDAR is used to capture large areas and generates 2.5D data by scanning from aircraft. Terrestrial LiDAR captures smaller areas in full 3D using static or mobile ground-based units. Bathymetric LiDAR maps shallow underwater areas using dual lasers. Atmospheric LiDAR surveys air properties by transmitting laser pulses and analyzing backscatter. Common to all is using a laser transmitter and detector to measure discrete points or full waveforms, with variations depending on the objective and environment.
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4. Examples
This document discusses parallel computing on GPUs using OpenCL. It provides an overview of basics of parallel computing, a brief history of SIMD and MIMD architectures, and details of OpenCL. It then describes a case study of using OpenCL and OpenMP to perform a Monte Carlo study of a spring-mass system. The study models the system, uses the Euler method for numerical integration, develops SIMD approaches for GPUs, implements OpenMP, analyzes results and speedup, and provides conclusions on parallelization.
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Recycled Concrete Aggregate in Construction Part II
nteractive visual analysis of flood scnarios using large-scale LiDAR point clouds
1. Interactive visual analysis
of flood scenarios using
large-scale LiDAR point
clouds
by T.Tutenel, C. Kehl and E. Eisemann
2. Overview
1. Visual Representation of LiDAR in Disaster
Management (problem)
2. Visualisation-on-budget (method 1)
3. Geospatial data integration (method 2)
4. Historic flood in Wieringermeer 1945 (use
case result 1)
5. Urban flood by precipitation in
Watergraafsmeer (use case result 2)
6. Crisis management support in exercises
(use case result 3)
7. Future Work
3. Visual Representation of LiDAR in
Disaster Management
● dutch Actuel Hoogtebestand Nederland (AHN) as aerial LiDAR data set of
whole Netherlands available for research
● applications in climate research and disaster management
● our work cares about visualisation of flood scenarios for flood protection
management
● usually maps are used to assess and visualise flood scenarios
● 2D map information not sufficient for giving public advice in case of a flood,
especially in urban environments (Fig [flood sim system])
4. Visual Representation of LiDAR in
Disaster Management
● recent movement towards usage of 3D geoinformation systems like
GoogleEarth [Goodchild2008] and VirtualFlood3D [Busaman2010] to
predict flood effects
● problem: full 3D information not globally available in every region,
particularly not in smaller communities and rural areas (labour-intensive 3D
modelling for Google Earth)
● Mesh-based systems deriving 2.5D information from height maps often
lack necessary precision
● 2.5D LiDAR information creates new possibilities in 3D visualisation
● such data become increasingly accessible
● aerial LiDAR as high-density point set enables fast point-based rendering
(PBR) approaches for visualisation (Fig. [Example Ithaka rendering])
5. Visual Representation of LiDAR in
Disaster Management
● although commercial systems (e.g., ArcGIS) support LiDAR processing,
visualisation still usually 2D map-alike
● most GIS fail processing and visualising massive, high-resolution LiDAR
data; resolution compromises not acceptable in flood protection
management
● we improve our visualisation system [deHaan2009, Kehl2012] by using a
new approach of smooth out-of-core PBR for LiDAR data that is used for
flood protection management
● enabling hydrologists and decision maker to plan new protection measures
and highlight important landmarks, we use a new technique to combine
KML-based geospatial metadata with the LiDAR point set
6. Overview
1. Visual Representation of LiDAR in Disaster
Management (problem)
2. Visualisation-on-budget (method 1)
3. Geospatial data integration (method 2)
4. Historic flood in Wieringermeer 1945 (use
case result 1)
5. Urban flood by precipitation in
Watergraafsmeer (use case result 2)
6. Crisis management support in exercises
(use case result 3)
7. Future Work
7. Visualisation-on-budget
● objective is to render large-scale, high-resolution LiDAR point sets
interactively and smoothly
● use tree-based Level-of-Detail (LoD) data structures to limit number of
rendered points to only keep the points necessary for concise visualisation
● each LiDAR point distributed to its corresponding node in the LoD tree
according to its importance (higher importance -> coarser detail level) (Fig.
[Thesis p54])
● at runtime, we measure the available budget via the system's performance
[Wouda2011]
● every point has a budget that is required if rendering the point
● successively more points are rendered until available budget of the system
is null
● the system allows fast rendering speeds with smooth streaming of points
8. Geospatial data integration
● goal is to visually annotate the point set via geospatial metadata
● common interchange format: Google's KML
● accept 2D polygonal data, created by, for example, Google Maps
● polygonal format: vector list
● our approach: colour the LiDAR points according to stored styles of KML-
described areas
● therefore necessary: valid polygon description and established point-
polygon relation (which point is in which polygon)
● trivial point-to-point OpenGL polygon setup leads to artefacts ->
Triangulation necessary
● for extracting a triangulation that includes original polygon: Constrained
Delaunay Triangulation with polygon boundary as constraint
9. Geospatial data integration
● therefore point-in-triangle check executed for every LiDAR point on every
triangle and coloured respectively
● GPU-based implementation even in high-performance graphics adapters
relatively slow
● therefore: improvement by storing triangles in a quadtree
● due to spatial subdivision, point-in-triangle check for each point is only
performed on adjacent triangles
● this allows interactive blending of geospatial metadata with the LiDAR point
cloud
10. Crisis management support in
exercises
● exercise use case in Delfland - Schieveen, a small test polder in a rural
environment
● goal: assess how the local water board can give advices to the safety
region institution (i.e. the fire departments, police stations, hospitals and
the municipality) in case of a dyke breach-caused flood
● combined flood simulation after critical dyke breach, including water height
as well as velocities, with wave animation and the coloured LiDAR point
set
● assessment done via video of flood simulation and its mitigation, displayed
in our system
12. Crisis management support in
exercises
● important information perceived by safety region institution are:
○ evolution / mitigation direction of the flood based on the animation
○ most threatened residential areas, affecting evacuation priority
● implementation of new flood protection policies as a precaution based on
this exercise assessment possible
13. Historic flood in Wieringermeer 1945
● case study assess historic flood in holland's "Noorderkwartier"
● flooded Wieringermeer is 4th largest dutch polder
● was flooded during the 2nd world war by the german army on their retreat
to germany; whole polder inundated
● manuscripts of water height measurements in regular timesteps available
● in our case: use the measurements as reference to compare and calibrate
modern flood simulations
14. Historic flood in Wieringermeer 1945
● by visually analysing the result of the calibrated flood simulation, following
facts are to note:
○ water distributes quickly along channels, so that adjacent areas are
quickly inundated [small video]
○ in the low plain rescuing higher grounds are scarce [Fig]
○ the polder acts as a basin [Fig]
15. Historic flood in Wieringermeer 1945
● Conclusions to be drawn:
○ large polders are vulnerable, even for small boundary incidents, and
contain a large water volume if inundated
○ therefore creation of medium-sized or small polders(<100km²), as in
the Schie- and Rhine-area, preferable because they limit flood
damage
○ if building large polders is inevitable, artificial hills or higher grounds
can act as security zones in case of an accident
16. Urban flood by precipitation in
Watergraafsmeer
● case study series to assess impact of seals on flood mitigation
● flood caused by extreme precipitation
● two locations in that area are assumed to receive the heavy precipitation
(Science Park and Betondorp) [Fig]
● outcome of different scenarios is visually compared:
○ flood in Science Park, with seals in the ground
○ flood in Science Park, without seals in the ground
○ flood in Betondorp, with seals in the ground
○ flood in Betondorp, without seals in the ground
17. Urban flood by precipitation in
Watergraafsmeer
Betondorp with seals Betondorp
with seals
Betondorp
without
seals
Science
Park with
seals
Science
Park
without
seals
18. Urban flood by precipitation in
Watergraafsmeer
Impact of Seals in Science Park:
● without seals, the flood mitigation along the channels in the adjacent
resident blocks; later mitigation occurs along streets
● with seals, the flood is majorly self-contained in the Science Park area;
flood only slightly mitigates to one adjacent residence block via
underground railway tunnel
Impact of Seals in Betondorp:
● also in this case full water cover of all residential blocks and the Science
Park without active seals
● with seals being active, Science Park is kept dry while the residential area
gets flooded; flood mitigation pattern stays the same with active seals
19. Urban flood by precipitation in
Watergraafsmeer
Betondorp with seals Betondorp
with seals
Betondorp
without
seals
Science
Park with
seals
Science
Park
without
seals
20. Urban flood by precipitation in
Watergraafsmeer
Impact of flood source location:
● park area west of Betondorp is higher ground, which is not affected by
flood events from the Science Park
● Betondorp not separated via channels from adjacent residential blocks,
therefore extreme precipitation in this area affects larger population
Conclusions:
● fast advancing flood event gives population little time for evacuation,
therefore search for higher ground or higher buildings advisable
● 3D view helps in advising minimal ground height for save stay [Fig]
● channel systems transports the water and separates residential units in
flood events
● seals are beneficial to contain an urban flood hazard and limit the damage
caused in the area
22. Future Work
● integration of our system into regional standard procedures for flood
protection policy
● further use case for Groningen urban area
● visual integration of cloud- and rainfall measurements [Fig]
● using distributed rendering to compose visualisation of very large 3D
displays/projectors
● support of larger, higher-resolution flood simulations (e.g. 2m² resolution
for municipal level) via quadtree-based data structure
● use of AHN-3 terrestrial LiDAR to improve evacuation prediction because
of better urban details
23. References
[deHaan2009] G. de Haan. Scalable visualization of massive point clouds.
Nederlandse Commissie voor Geodesie KNAW, 49:59, 2009
[Kehl2010] Christian Kehl and Gerwin de Haan. Interactive simulation and
visualisation of realistic flooding scenarios. In Intelligent Systems for
Crisis Management, 2012.
[Wouda2011] Berend Wouda. Visualization on a budget for massive lidar point
clouds. Master’s thesis, Delft University of Technology, 2011.
[Busaman2010] Anurak Busaman, Somporn Chuai-Aree, Wattana
Kanubua. VirtualFlood3D: Software for Simulation and
and Visualization of Water Flooding. In 14th Intern. Annual
Symposium on Computational Science and Engineering,
2010
[Goodchild2008] M.F. Goodchild. The use cases of digital earth. In International
Journal of Digital Earth, 2008