This document discusses the development of a uniform trans-boundary methodology for flood risk assessment between Bulgaria and Serbia. It covers terminology, legislation, databases, and types of floods. Methods are described for determining maximum run-off, creating digital terrain models and hydraulic models. Guidelines are provided for creating flood hazard maps and flood risk maps, including showing inundation areas, water depths and velocities, protection measures, and classifying risk. The goal is a common approach for flood risk assessment in the cross-border region.
This document discusses flood vulnerability assessment and mapping in the upper Nishava Basin region. It defines vulnerability as the potential for damage and outlines three dimensions of vulnerability: economic, social, and environmental. The document describes the basis for flood vulnerability mapping, including cadastral maps, Google Earth images, and orthophotos. It outlines a process for vulnerability mapping that involves determining land use categories in flood-prone areas and assessing vulnerability ratios for infrastructure, buildings, and other assets. Maps of vulnerability and land use in the upper Nishava Basin region are presented.
Exemplary implementation of the risk information in local spatial planning ennishava
The document discusses using flood risk information in local spatial planning. It recommends identifying flood risk areas from various sources and mapping them based on probability as high, medium, or low risk zones. Development should be directed away from high risk zones according to a sequential approach. Land use types are classified based on vulnerability to flooding, and standards for acceptable land use are defined for each risk zone. The goal is to identify areas of significant flood risk where highly vulnerable land uses are located and damage would be high.
The document discusses the creation of a geographic database for the upper Nishava catchment area. A GIS platform was established including ArcGIS software. The database includes spatial data on boundaries, rivers, infrastructure, climate, land use, and more. Layers were created from various sources and formats. Maps were produced showing potential population, environmental, and transportation risks from flooding in the catchment area, including specific maps for the towns of Godech and Dimitrovgrad.
Model pembelajaran kooperatif tipe Scramble melibatkan siswa untuk mengoreksi susunan huruf pada jawaban yang telah disediakan sehingga menjadi jawaban yang benar. Model pembelajaran Reciprocal Learning melibatkan komunikasi antara siswa untuk memahami bacaan berdasarkan strategi klarifikasi, prediksi, pertanyaan dan kesimpulan. Model pembelajaran Two Stay Two Stray membagi siswa menjadi kelompok kecil dan mengharuskan dua siswa d
The document discusses the impacts of climate change based on observed data. It finds that human activities like burning fossil fuels are releasing greenhouse gases and warming the planet. This is causing glaciers and ice sheets to melt, sea levels to rise, and more extreme weather events like droughts and hurricanes. Continued emissions could have dramatic economic and environmental effects. Data shows most of the warming occurred in the last few decades and climate models match observations when human factors are included.
The document discusses the creation of a digital terrain model of the Nishava River Basin between Bulgaria and Serbia. A methodology was used to create a raster grid terrain model based on horizontal coordinate points and altitude data. As a result, two types of digital terrain models were generated: one with a 30m cell size covering the entire study area, and one with a 5m cell size focusing on key risk areas. The models will help assess flood risk and support sustainable development in the upper Nishava catchment region.
This document discusses flood vulnerability assessment and mapping in the upper Nishava Basin region. It defines vulnerability as the potential for damage and outlines three dimensions of vulnerability: economic, social, and environmental. The document describes the basis for flood vulnerability mapping, including cadastral maps, Google Earth images, and orthophotos. It outlines a process for vulnerability mapping that involves determining land use categories in flood-prone areas and assessing vulnerability ratios for infrastructure, buildings, and other assets. Maps of vulnerability and land use in the upper Nishava Basin region are presented.
Exemplary implementation of the risk information in local spatial planning ennishava
The document discusses using flood risk information in local spatial planning. It recommends identifying flood risk areas from various sources and mapping them based on probability as high, medium, or low risk zones. Development should be directed away from high risk zones according to a sequential approach. Land use types are classified based on vulnerability to flooding, and standards for acceptable land use are defined for each risk zone. The goal is to identify areas of significant flood risk where highly vulnerable land uses are located and damage would be high.
The document discusses the creation of a geographic database for the upper Nishava catchment area. A GIS platform was established including ArcGIS software. The database includes spatial data on boundaries, rivers, infrastructure, climate, land use, and more. Layers were created from various sources and formats. Maps were produced showing potential population, environmental, and transportation risks from flooding in the catchment area, including specific maps for the towns of Godech and Dimitrovgrad.
Model pembelajaran kooperatif tipe Scramble melibatkan siswa untuk mengoreksi susunan huruf pada jawaban yang telah disediakan sehingga menjadi jawaban yang benar. Model pembelajaran Reciprocal Learning melibatkan komunikasi antara siswa untuk memahami bacaan berdasarkan strategi klarifikasi, prediksi, pertanyaan dan kesimpulan. Model pembelajaran Two Stay Two Stray membagi siswa menjadi kelompok kecil dan mengharuskan dua siswa d
The document discusses the impacts of climate change based on observed data. It finds that human activities like burning fossil fuels are releasing greenhouse gases and warming the planet. This is causing glaciers and ice sheets to melt, sea levels to rise, and more extreme weather events like droughts and hurricanes. Continued emissions could have dramatic economic and environmental effects. Data shows most of the warming occurred in the last few decades and climate models match observations when human factors are included.
The document discusses the creation of a digital terrain model of the Nishava River Basin between Bulgaria and Serbia. A methodology was used to create a raster grid terrain model based on horizontal coordinate points and altitude data. As a result, two types of digital terrain models were generated: one with a 30m cell size covering the entire study area, and one with a 5m cell size focusing on key risk areas. The models will help assess flood risk and support sustainable development in the upper Nishava catchment region.
The document discusses implementing a "Driving Forces - Pressures - State - Impact - Response" model to assess flood risk in the Upper Nishava River catchment area between Bulgaria and Serbia. It analyzes the driving forces of climate and landscape that lead to flood pressures from changes in land use, soil sealing, urbanization, and transportation infrastructure development. These pressures impact the state of historical and future flooding as well as the damages, costs, and environmental consequences of floods in the region. Responses include preventative protection and mitigation measures.
AUTOMATED MODEL FOR IMPLEMENTATION OF UNIFIED CRITERIA FOR FLOOD RISK CLASSIF...Lyubomir Filipov
Floods are one of the most common hazards worldwide. Each year they cause considerable damage to people’s lives and properties and can have severe environmental consequences.
Floods are natural phenomena but through the right measures we can reduce their likelihood and limit their impacts. As to achieve that the European Commission proposed the Directive 2007/60/EC in year 2006. It requires Member States to assess if all water courses and coast lines are at risk from flooding, to map the flood extent and assets and humans at risk in these areas and to take measures to reduce this flood risk.
As a Member-state the Republic of Bulgaria is following the statements and procedures of the Directive. Criteria and methods for determination and classification of areas with potential significant flood risk are developed to be implemented for each basin management region in the country.
This presentation is result of a project and scientific paper, published for international seminar, held in Sofia, Bulgaria, November, 2013. In this presentation we present an automated model for implementation of the developed unified criteria for flood risk assessment in Bulgaria. We provide an overview of the geographic information systems (GIS) functionality for gathering data form a variety of sources, its integration into a single information environment and the possibilities for modeling and dissemination of this data. Furthermore, this paper demonstrates the advantages of collaborative GIS platforms for providing valuable information in case of a disaster.
This document discusses the adaptation of a hydrological model for the Nishava River Basin to determine flood risk. It implements a regionalization method using data from 6 hydrological monitoring stations to calculate maximum runoff with different repetition periods. Regression analysis of 8 catchment characteristics was used to develop equations relating these factors to maximum runoff. The results showed good agreement between modeled and observed runoff values. Maximum runoff for ungauged areas in the basin can now be reliably estimated using this regionalization method.
This academic paper describes using GIS techniques to map flood risk areas in the Lower Panjshir sub river basin of Afghanistan. The study integrated data on slope, rainfall, roads, population density, land use and elevation to identify areas at high, medium and low risk of flooding. The results showed 11484.09 hectares at high risk, 37339 hectares at medium risk and 31589 hectares at low risk. The flood risk map can help decision-makers implement mitigation measures and better manage land use to reduce flood impacts.
THE PERSPECTIVES IN FRONT OF REPUBLIC OF SERBIA FOR ACHIEVING EUROPEAN ECOLOG...Emil Hristov
The document discusses perspectives for Serbia to achieve European ecological standards. It outlines Serbia's water management strategy, which aims to establish harmonized water management and integrate water resources management. The strategy covers objectives and measures for water use, protection, and management from now until 2034, and projects funding needs to implement measures to improve water management. Climate change is also projected to increase temperatures and affect precipitation patterns in Serbia.
Slovenian National Committee of the International Hydrological ProgrammeUNESCO Venice Office
Water Family Meeting and Symposium on Water Equity in South-East Europe and the Mediterranean
28-29 March 2019 Palazzo Zorzi, Venice (Italy) -
Mitja Brilly, IHP National Committee, Slovenia
This document discusses flood risk assessment for watersheds in arid regions like Egypt that experience flash flooding from rare but intense rainfall events. It presents a methodology using Geographic Information Systems (GIS) to model watershed characteristics for the Al Soukhna area of Egypt in order to classify watersheds based on their flood risk and vulnerability. Nine key watershed parameters that affect flood response were identified. GIS was used to estimate these parameters, classify the watersheds into risk categories, and model runoff hydrographs. The results of the flood risk classification correlated well with estimates of peak runoff discharge and time from the hydrograph modeling.
MAB-IHP Regional Symposium: Managing Water Resources in Biosphere Reserves in...UNESCO Venice Office
Dragan Zeljko, International Sava River Basin Commission
Venice, 16-17 December 2021
Overall responsibility for the views and opinions expressed in the slides is taken by the authors
DEM-based Methods for Flood Risk Mapping at Large ScaleSalvatore Manfreda
This document summarizes a presentation on DEM-based methods for flood risk mapping at large scales. It discusses using simplified geomorphic procedures that rely on digital elevation models and flood hazard maps to delineate flood-prone areas when detailed hydraulic models are not feasible due to lack of data or resources. A geomorphic flood index is presented that uses drainage area, river depth, and elevation differences to classify flood risk. The method has been tested in various locations worldwide and can be implemented through a QGIS plugin to map flood hazard over large ungauged areas in a cost-effective manner. Limitations include not accounting for hydrologic processes or man-made structures but advantages are the low data needs to provide initial flood risk information.
The document discusses the role of the National Council for Scientific Research (CNRS) in water resource management and governance in Lebanon. It outlines CNRS's use of remote sensing, GIS, and field data to monitor water resources and climate trends. CNRS has conducted many projects on topics like groundwater assessment, snow cover dynamics, and river discharge. CNRS collaborates with various government agencies, NGOs, universities, and international organizations on projects and policy. Its research provides essential data and analysis to inform Lebanon's water policies, strategies, and governance.
Urban Planning & Design Masterclass Banjarmasin 2015 focused on "Urban Water Challenges in Developing Countries". The presenter discussed rapid urban growth and associated issues like inadequate basic services and environmental degradation in developing countries. For Banjarmasin, issues discussed included insufficient water supply and sewage management, solid waste dumping in rivers, and associated flood and public health risks. The presenter proposed a three-part Integrated Flood Risk and Drainage Management Plan for Banjarmasin including short-term rehabilitation, medium-term data collection and modeling, and long-term investment strategies based on flood risk levels.
This document provides an abstract for a thesis on flood risk mapping of Kathmandu Valley in Nepal. The thesis uses GIS and hydrologic modeling to create hazard, vulnerability, exposure and risk maps. Hydraulic modeling was conducted using HEC-RAS to simulate flood inundation for different return periods. The results were imported into GIS to create flood inundation maps and analyze hazard, vulnerability and exposure. The analysis found that most areas have moderate flood risk, with cultivated land being the most affected land use and experiencing moderate to high risk. Automated risk mapping using these tools provides more efficient results to help decision makers understand flood risks.
The document discusses the Drought Management Center for Southeast Europe (DMCSEE) and its activities, including operating a network of 13 countries in the region and organizing workshops and training. It also discusses platforms for exchanging drought-related data, such as the proposed IDMP data exchange platform, and provides examples like the U.S. Drought Monitor and the European Drought Observatory. Key lessons highlighted include the importance of monitoring drought onset, intensity and duration, and having a proactive management approach with defined indicators, thresholds, decision-making processes, and mitigation measures.
Water Family Meeting and Symposium on Water Equity in South-East Europe and the Mediterranean
28-29 March 2019 Palazzo Zorzi, Venice (Italy) -
Dragana Milovanović, Deputy Secretary for integrated river basin management and water planning, International Sava River Basin Commission
The document summarizes the launch of a HelpDesk for flood management by the Global Water Partnership (GWP) and World Meteorological Organization's Associated Programme on Flood Management. The HelpDesk will provide guidance and assistance to countries on integrated flood management strategies and policies. It also summarizes GWP Moldova organizing a meeting to develop an integrated water resources management plan for the Bic River Basin, with the goals of identifying key issues and stakeholder involvement in the plan's preparation.
The document discusses developing a methodology for flood risk assessment and vulnerability classification of watersheds in the Al Soukhna area of Egypt that are subject to flash flooding. Geographic Information Systems (GIS) was used to model the area and identify watersheds. Nine watershed characteristics that affect flood risk were analyzed to classify each watershed. The results of the vulnerability classification correlated well with estimated runoff peak discharge and time to peak from hydrological modeling, showing GIS can efficiently assess flood risk in non-gauged watersheds.
The document provides an overview of transboundary water management in the SADC region. It discusses the SADC's institutional structure related to water management and key regional instruments like the SADC Protocol on Shared Watercourses. It notes the region has 15 shared river basins and 20 transboundary aquifers. Major challenges include limited understanding and management of transboundary groundwater resources. Tools discussed to address these include a regional groundwater monitoring network, mapping of groundwater dependent ecosystems, and assessing groundwater drought vulnerability and valuation. A SADC Groundwater Management Institute is proposed to help with capacity building, research, coordination and financing of sustainable groundwater management.
1) The national flood information system of Finland brings together essential flood information in a single GIS-based user interface, promoting flood risk assessment and response planning.
2) The EXTREFLOOD II project aims to develop flood risk mapping methods to make risk assessment more effective, including indicating potential adverse consequences of flooding under various probabilities.
3) Flood risk mapping in Finland utilizes flood hazard maps, land use data, building databases, and other datasets to assess numbers of people and economic assets potentially affected by flooding.
The document discusses developing a Groundwater Risk Index (GRI) to assess groundwater depletion risk conditions in the Middle East and North Africa region. It first summarizes conducting a regional groundwater resource assessment using groundwater storage reserves estimates and groundwater storage change data. It then outlines developing the GRI using indicators for groundwater reserves, storage change, governance, food security, and groundwater extraction costs. The GRI is computed by weighting and aggregating the normalized indicators. Results show varying degrees of risk and rank changes between countries from 2003 to 2014. A sensitivity analysis examines the robustness of results to excluding individual indicators and using different normalization schemes.
Transboundary cooperation in the Sava river basin (IWC6 Presentation)Iwl Pcu
Presentation delivered by Dejan Komatina during the transboundary commission session during the 6th GEF Biennial International Waters Conference in 2011 in Dubrovnik, Croatia.
The document discusses implementing a "Driving Forces - Pressures - State - Impact - Response" model to assess flood risk in the Upper Nishava River catchment area between Bulgaria and Serbia. It analyzes the driving forces of climate and landscape that lead to flood pressures from changes in land use, soil sealing, urbanization, and transportation infrastructure development. These pressures impact the state of historical and future flooding as well as the damages, costs, and environmental consequences of floods in the region. Responses include preventative protection and mitigation measures.
AUTOMATED MODEL FOR IMPLEMENTATION OF UNIFIED CRITERIA FOR FLOOD RISK CLASSIF...Lyubomir Filipov
Floods are one of the most common hazards worldwide. Each year they cause considerable damage to people’s lives and properties and can have severe environmental consequences.
Floods are natural phenomena but through the right measures we can reduce their likelihood and limit their impacts. As to achieve that the European Commission proposed the Directive 2007/60/EC in year 2006. It requires Member States to assess if all water courses and coast lines are at risk from flooding, to map the flood extent and assets and humans at risk in these areas and to take measures to reduce this flood risk.
As a Member-state the Republic of Bulgaria is following the statements and procedures of the Directive. Criteria and methods for determination and classification of areas with potential significant flood risk are developed to be implemented for each basin management region in the country.
This presentation is result of a project and scientific paper, published for international seminar, held in Sofia, Bulgaria, November, 2013. In this presentation we present an automated model for implementation of the developed unified criteria for flood risk assessment in Bulgaria. We provide an overview of the geographic information systems (GIS) functionality for gathering data form a variety of sources, its integration into a single information environment and the possibilities for modeling and dissemination of this data. Furthermore, this paper demonstrates the advantages of collaborative GIS platforms for providing valuable information in case of a disaster.
This document discusses the adaptation of a hydrological model for the Nishava River Basin to determine flood risk. It implements a regionalization method using data from 6 hydrological monitoring stations to calculate maximum runoff with different repetition periods. Regression analysis of 8 catchment characteristics was used to develop equations relating these factors to maximum runoff. The results showed good agreement between modeled and observed runoff values. Maximum runoff for ungauged areas in the basin can now be reliably estimated using this regionalization method.
This academic paper describes using GIS techniques to map flood risk areas in the Lower Panjshir sub river basin of Afghanistan. The study integrated data on slope, rainfall, roads, population density, land use and elevation to identify areas at high, medium and low risk of flooding. The results showed 11484.09 hectares at high risk, 37339 hectares at medium risk and 31589 hectares at low risk. The flood risk map can help decision-makers implement mitigation measures and better manage land use to reduce flood impacts.
THE PERSPECTIVES IN FRONT OF REPUBLIC OF SERBIA FOR ACHIEVING EUROPEAN ECOLOG...Emil Hristov
The document discusses perspectives for Serbia to achieve European ecological standards. It outlines Serbia's water management strategy, which aims to establish harmonized water management and integrate water resources management. The strategy covers objectives and measures for water use, protection, and management from now until 2034, and projects funding needs to implement measures to improve water management. Climate change is also projected to increase temperatures and affect precipitation patterns in Serbia.
Slovenian National Committee of the International Hydrological ProgrammeUNESCO Venice Office
Water Family Meeting and Symposium on Water Equity in South-East Europe and the Mediterranean
28-29 March 2019 Palazzo Zorzi, Venice (Italy) -
Mitja Brilly, IHP National Committee, Slovenia
This document discusses flood risk assessment for watersheds in arid regions like Egypt that experience flash flooding from rare but intense rainfall events. It presents a methodology using Geographic Information Systems (GIS) to model watershed characteristics for the Al Soukhna area of Egypt in order to classify watersheds based on their flood risk and vulnerability. Nine key watershed parameters that affect flood response were identified. GIS was used to estimate these parameters, classify the watersheds into risk categories, and model runoff hydrographs. The results of the flood risk classification correlated well with estimates of peak runoff discharge and time from the hydrograph modeling.
MAB-IHP Regional Symposium: Managing Water Resources in Biosphere Reserves in...UNESCO Venice Office
Dragan Zeljko, International Sava River Basin Commission
Venice, 16-17 December 2021
Overall responsibility for the views and opinions expressed in the slides is taken by the authors
DEM-based Methods for Flood Risk Mapping at Large ScaleSalvatore Manfreda
This document summarizes a presentation on DEM-based methods for flood risk mapping at large scales. It discusses using simplified geomorphic procedures that rely on digital elevation models and flood hazard maps to delineate flood-prone areas when detailed hydraulic models are not feasible due to lack of data or resources. A geomorphic flood index is presented that uses drainage area, river depth, and elevation differences to classify flood risk. The method has been tested in various locations worldwide and can be implemented through a QGIS plugin to map flood hazard over large ungauged areas in a cost-effective manner. Limitations include not accounting for hydrologic processes or man-made structures but advantages are the low data needs to provide initial flood risk information.
The document discusses the role of the National Council for Scientific Research (CNRS) in water resource management and governance in Lebanon. It outlines CNRS's use of remote sensing, GIS, and field data to monitor water resources and climate trends. CNRS has conducted many projects on topics like groundwater assessment, snow cover dynamics, and river discharge. CNRS collaborates with various government agencies, NGOs, universities, and international organizations on projects and policy. Its research provides essential data and analysis to inform Lebanon's water policies, strategies, and governance.
Urban Planning & Design Masterclass Banjarmasin 2015 focused on "Urban Water Challenges in Developing Countries". The presenter discussed rapid urban growth and associated issues like inadequate basic services and environmental degradation in developing countries. For Banjarmasin, issues discussed included insufficient water supply and sewage management, solid waste dumping in rivers, and associated flood and public health risks. The presenter proposed a three-part Integrated Flood Risk and Drainage Management Plan for Banjarmasin including short-term rehabilitation, medium-term data collection and modeling, and long-term investment strategies based on flood risk levels.
This document provides an abstract for a thesis on flood risk mapping of Kathmandu Valley in Nepal. The thesis uses GIS and hydrologic modeling to create hazard, vulnerability, exposure and risk maps. Hydraulic modeling was conducted using HEC-RAS to simulate flood inundation for different return periods. The results were imported into GIS to create flood inundation maps and analyze hazard, vulnerability and exposure. The analysis found that most areas have moderate flood risk, with cultivated land being the most affected land use and experiencing moderate to high risk. Automated risk mapping using these tools provides more efficient results to help decision makers understand flood risks.
The document discusses the Drought Management Center for Southeast Europe (DMCSEE) and its activities, including operating a network of 13 countries in the region and organizing workshops and training. It also discusses platforms for exchanging drought-related data, such as the proposed IDMP data exchange platform, and provides examples like the U.S. Drought Monitor and the European Drought Observatory. Key lessons highlighted include the importance of monitoring drought onset, intensity and duration, and having a proactive management approach with defined indicators, thresholds, decision-making processes, and mitigation measures.
Water Family Meeting and Symposium on Water Equity in South-East Europe and the Mediterranean
28-29 March 2019 Palazzo Zorzi, Venice (Italy) -
Dragana Milovanović, Deputy Secretary for integrated river basin management and water planning, International Sava River Basin Commission
The document summarizes the launch of a HelpDesk for flood management by the Global Water Partnership (GWP) and World Meteorological Organization's Associated Programme on Flood Management. The HelpDesk will provide guidance and assistance to countries on integrated flood management strategies and policies. It also summarizes GWP Moldova organizing a meeting to develop an integrated water resources management plan for the Bic River Basin, with the goals of identifying key issues and stakeholder involvement in the plan's preparation.
The document discusses developing a methodology for flood risk assessment and vulnerability classification of watersheds in the Al Soukhna area of Egypt that are subject to flash flooding. Geographic Information Systems (GIS) was used to model the area and identify watersheds. Nine watershed characteristics that affect flood risk were analyzed to classify each watershed. The results of the vulnerability classification correlated well with estimated runoff peak discharge and time to peak from hydrological modeling, showing GIS can efficiently assess flood risk in non-gauged watersheds.
The document provides an overview of transboundary water management in the SADC region. It discusses the SADC's institutional structure related to water management and key regional instruments like the SADC Protocol on Shared Watercourses. It notes the region has 15 shared river basins and 20 transboundary aquifers. Major challenges include limited understanding and management of transboundary groundwater resources. Tools discussed to address these include a regional groundwater monitoring network, mapping of groundwater dependent ecosystems, and assessing groundwater drought vulnerability and valuation. A SADC Groundwater Management Institute is proposed to help with capacity building, research, coordination and financing of sustainable groundwater management.
1) The national flood information system of Finland brings together essential flood information in a single GIS-based user interface, promoting flood risk assessment and response planning.
2) The EXTREFLOOD II project aims to develop flood risk mapping methods to make risk assessment more effective, including indicating potential adverse consequences of flooding under various probabilities.
3) Flood risk mapping in Finland utilizes flood hazard maps, land use data, building databases, and other datasets to assess numbers of people and economic assets potentially affected by flooding.
The document discusses developing a Groundwater Risk Index (GRI) to assess groundwater depletion risk conditions in the Middle East and North Africa region. It first summarizes conducting a regional groundwater resource assessment using groundwater storage reserves estimates and groundwater storage change data. It then outlines developing the GRI using indicators for groundwater reserves, storage change, governance, food security, and groundwater extraction costs. The GRI is computed by weighting and aggregating the normalized indicators. Results show varying degrees of risk and rank changes between countries from 2003 to 2014. A sensitivity analysis examines the robustness of results to excluding individual indicators and using different normalization schemes.
Transboundary cooperation in the Sava river basin (IWC6 Presentation)Iwl Pcu
Presentation delivered by Dejan Komatina during the transboundary commission session during the 6th GEF Biennial International Waters Conference in 2011 in Dubrovnik, Croatia.
Terrestrial measurements were conducted along a 9.3 km section of the Nishava River between Godech Town and Tuden Village in Bulgaria, and along the Nishava River within the Municipality of Dimitrovgrad in Serbia. 17 cross-sections of the river were measured in Bulgaria using GPS and total stations, and 48 cross-sections were measured in Serbia using kinematic GPS. Bridges, retaining walls, and other infrastructure along the river were also surveyed. Measurements were processed digitally and results were presented on maps, tables, and diagrams showing the river profiles and characteristics of structures.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
20240605 QFM017 Machine Intelligence Reading List May 2024
Metodika en final
1. Програма за ТГС по ИПП България – Сърбия
DEVELOPMENT OF A UNIFORM TRANS-BOUDARY METHODOLOGY FOR
FLOOD RISK ASSESSMENT
CONTENTS:
INTRODUCTION
CHAPTER ONE
1. USED TERMINOLOGY
2. EUROPEAN APPROACHES
3. LEGISLATION AND INSTITUTIONAL FRAMEWORK
4. DATABASE
5. TYPES OF FLOODS
CHAPTER TWO
1. COMMON APPROACH
2. HYDROLOGY
2.1. DETERMINATION OF THE MAXIMUM RUN-OFF
2.2. CLIMATE CHANGE
3. GEODESY
3.1. COORDINATE SYSTEMS AND PROJECTIONS
3.2. DIGITAL TERRAIN MODEL
3.3. ADDITIONAL ANALYSIS OF THE DIGITAL TERRAIN MODEL
3.4. GEODESIC SHOOTING
4. HYDRAULIC MODELLING
4.1. CALCULATION METHODS AND PROGRAMMES
4.2. CREATION OF A HYDRAULIC MODEL
CHAPTER THREE
1. FLOOD HAZARD MAPS
1.1. DETERMINATION OF THE INUNDATED AREAS
1.2. КCORRECTION OF THE INUNDATED AREAS
1.3. PROTECTION MEASURES
1.4. FORMATTING OF THE MAPS
2. FLOOD RISK MAPS
1.5. RISK MAPPING APPROACHES
EUROPEAN UNION
Bulgaria – Serbia IPA Cross-border Programme
“Assessment of flood risk – a base for sustainable development in upper part of Nishava
catchment” Page 1
2. Програма за ТГС по ИПП България – Сърбия
1.6. SOCIO-ECONOMIC ASPECTS
1.7. RISK CLASSIFICATION
1.8. FORMATTING OF THE MAPS
CHAPTER ONE
EUROPEAN APPROACH
Czech Republic
Orthophotos and topographic maps, scale of 1:10 000, are used as a basis for the
preparation of flood hazard and flood risk maps in Czech Republic. The orthophotos
and topographic maps are provided by the Czech Surveying Office for Mapping and
Cadastre (file ZABAGED).
Figure 1: Orthophoto and topographic map
EUROPEAN UNION
Bulgaria – Serbia IPA Cross-border Programme
“Assessment of flood risk – a base for sustainable development in upper part of Nishava
catchment” Page 2
3. Програма за ТГС по ИПП България – Сърбия
Figure 2: Scheme for flood hazard and flood risk maps elaboration for given scenario
(water quantity).
LEGISLATION AND INSTITUTIONAL FRAMEWORK
General obligations of the parties with respect to the management of flood risk and
cross-border cooperation are determined by international legal frameworks such as
the Water Convention of the UNECE and the Floods Directive of the EU.
National legislation should set clearly defined and allocated responsibilities and rights
of all institutions and organizations that are relevant to flood risk management.
EUROPEAN UNION
Bulgaria – Serbia IPA Cross-border Programme
“Assessment of flood risk – a base for sustainable development in upper part of Nishava
catchment” Page 3
4. Програма за ТГС по ИПП България – Сърбия
Figure 3. Legislation and institutional framework in flood risk managament
EUROPEAN UNION
Bulgaria – Serbia IPA Cross-border Programme
“Assessment of flood risk – a base for sustainable development in upper part of Nishava
catchment” Page 4
5. Програма за ТГС по ИПП България – Сърбия
Figure 4 Current organization of water management in Republic of Serbia
EUROPEAN UNION
Bulgaria – Serbia IPA Cross-border Programme
“Assessment of flood risk – a base for sustainable development in upper part of Nishava
catchment” Page 5
6. Програма за ТГС по ИПП България – Сърбия
Figure 5 Scheme Structure of the specialized institutions in flood risk management
DATABASE
Categories of databases:
Basic data
Hydrology
Hydraulics
Climate
Damage assessment
TYPES OF FLOODS
The main feature for typifying floods is their source. Depending on it, the following
types of floods can be defined: "sea floods", "river flooding", "rain floods", "
groundwater floodings" and "infrastructure floodings".
CHAPTER TWO
EUROPEAN UNION
Bulgaria – Serbia IPA Cross-border Programme
“Assessment of flood risk – a base for sustainable development in upper part of Nishava
catchment” Page 6
7. Програма за ТГС по ИПП България – Сърбия
5. HYDROLOGY
5.1. DETERMINATION OF THE MAXIMUM RUN-OFF
Statistical methods
The statistical methods are applicable for determination of the maximum run-off in
basins with built hydrometric network and an area greater than 1000 km. The
statistical methods are applied in both countries.
Models „rainfall – run-off”
Figure 6 Model „Rainfall – run-off”
Method for regionalization of the maximum run-off
Eight factors and characteristics of drainage basins and river systems that are
essential for the formation of maximum flow are set out in LUBW, 2007:
• area of the catchment AEo [km2]
• urbanized territory S [%]
• afforestation W [%]
EUROPEAN UNION
Bulgaria – Serbia IPA Cross-border Programme
“Assessment of flood risk – a base for sustainable development in upper part of Nishava
catchment” Page 7
8. Програма за ТГС по ИПП България – Сърбия
• average slope Ig [%]
• river length L [km] along the main rivers of the watershed to the confluence
• river length LC [km] from the center of gravity of the catchment to its estuary;
• average annual rainfall in the catchment hNG [mm]
• landscape factor LF [-]
GEODESY
DIGITAL TERRAIN MODEL
A variety of sources can be used to create a terrain elevation model: topographic
maps, satellite images, orthophotos, surveys of the river flow, LIDAR. The described
sources are characterized by different accuracy of the topographical information.
Therefore, the combined use of these sources is recommended to obtain a digital
terrain model with sufficient accuracy.
Figure 7 Geodesic measurements /shooting of cross-sections/
EUROPEAN UNION
Bulgaria – Serbia IPA Cross-border Programme
“Assessment of flood risk – a base for sustainable development in upper part of Nishava
catchment” Page 8
9. Програма за ТГС по ИПП България – Сърбия
Figure 8 Encoding of the cross section folds based on inverted cross sections of the
plane
Figure 9 Generation of 3D folds of the river bed terrain
EUROPEAN UNION
Bulgaria – Serbia IPA Cross-border Programme
“Assessment of flood risk – a base for sustainable development in upper part of Nishava
catchment” Page 9
10. Програма за ТГС по ИПП България – Сърбия
Figure 10 Digital terrain model, developed on the basis of laser scanning data
Figure 11 Digital terrain model of river section, developed with laser scanning data
EUROPEAN UNION
Bulgaria – Serbia IPA Cross-border Programme
“Assessment of flood risk – a base for sustainable development in upper part of Nishava
catchment” Page 10
11. Програма за ТГС по ИПП България – Сърбия
Figure 12 conbination of laser scanning data, geometry of the facilities and folds f the
terrain structure
GEODESIC SHOOTINGS
EUROPEAN UNION
Bulgaria – Serbia IPA Cross-border Programme
“Assessment of flood risk – a base for sustainable development in upper part of Nishava
catchment” Page 11
12. Програма за ТГС по ИПП България – Сърбия
Figure 13 Method of the profiles
1. HYDRAULIC MODELLING
1.1. CALCULATION METHODS AND PROGRAMMES
Use of 1D model for river section calculation (i.e. HEC-RAS)
In these models, the geometry of the river valley and the river bed is laid depending
on multiple cross sections. The hydraulic impact on equipment and hinders in the
riverbed,on the local expansion or narrowing, of the changes in the slope of the river
bed, etc. can be reproduced by 1D-models of the river flow.
EUROPEAN UNION
Bulgaria – Serbia IPA Cross-border Programme
“Assessment of flood risk – a base for sustainable development in upper part of Nishava
catchment” Page 12
13. Програма за ТГС по ИПП България – Сърбия
Figure 14 Determination of cross-sections for hydraulic measurements of the digital
terrain model (based on topographic maprs 1:5000)
Figure 15 Calculated inundated areas from 1D calculations
1.2. CREATION OF A HYDRAULIC MODEL
Use of 2D models of the river sections (i.e. Hydro_AS-2D)
EUROPEAN UNION
Bulgaria – Serbia IPA Cross-border Programme
“Assessment of flood risk – a base for sustainable development in upper part of Nishava
catchment” Page 13
14. Програма за ТГС по ИПП България – Сърбия
Figure 16 2D-calculation network of the basis of elevation sports connection of
SRTM-elevation terrain model, (basis: Google Earth)
Figure 17 Calculated inundated area with 2D hydraulic measurements (basis: Google
Earth)
Use of hydrologic model, based on calculation raster network for 2D calculations of
the surface run-off (i.e. GSSHA model)
EUROPEAN UNION
Bulgaria – Serbia IPA Cross-border Programme
“Assessment of flood risk – a base for sustainable development in upper part of Nishava
catchment” Page 14
15. Програма за ТГС по ИПП България – Сърбия
Figure 18 Image of the modelled area with run-off model (GSSHA) based on
calculation raster network.
CHAPTER THREE
FLOOD HAZARD MAPS
Flood hazard maps are made for the following scenarios:
flooding with low security or high repetition period (extreme floods);
flooding with medium security (≤ 1%), respectively, with an average repetition
periods (≥ 100 years);
individually, floods with high security or a small repetition period.
In compliance with the flood risk directive, flood hazard maps must contain the
following information:
of flooding;
of flooding and water levels;
individually, flow velocity or the relevant water flow.
EUROPEAN UNION
Bulgaria – Serbia IPA Cross-border Programme
“Assessment of flood risk – a base for sustainable development in upper part of Nishava
catchment” Page 15
16. Програма за ТГС по ИПП България – Сърбия
легенда:
заливни дълбочини за висока вълна с
период на повторение 100 години [см]
залети площи
площи със свободен борд < 30 см
степен на застрашеност на сгради:
незастрашени сгради
потенциално застрашени сгради
Figure 19 Borders of inundation and calcualted depths of floods during high wave
with repetition period 100 years, respectively 1% security.
легенда:
застрашени зони при висока вълна с
период на повторение (ПП):
10 години 50 години
20 години 100 години
oпасност от заливане на сгради:
незастрашени
слабо застрашени (ПП > 100 год.)
средно застрашени (ПП 20 -100 год.)
силно застрашени (ПП < 100 год.)
EUROPEAN UNION
Bulgaria – Serbia IPA Cross-border Programme
“Assessment of flood risk – a base for sustainable development in upper part of Nishava
catchment” Page 16
17. Програма за ТГС по ИПП България – Сърбия
Figure 20 Borders of inundation for floods with repetition period 10, 20, 50 и 100
years, respectively 10%, 5%, 2% и 1% security.
Figure 21 Determination of the flood hazard in Wallone
EUROPEAN UNION
Bulgaria – Serbia IPA Cross-border Programme
“Assessment of flood risk – a base for sustainable development in upper part of Nishava
catchment” Page 17
18. Програма за ТГС по ИПП България – Сърбия
Figure 22 Integration of the determination methods of the repatition and inundation of
the river
Figure 23 Exemplary flood hazard map
EUROPEAN UNION
Bulgaria – Serbia IPA Cross-border Programme
“Assessment of flood risk – a base for sustainable development in upper part of Nishava
catchment” Page 18
19. Програма за ТГС по ИПП България – Сърбия
Figure 24 Exemplary flood risk map
PROTECTION MEASURES
If there are protective measures against flooding, it does not necessarily mean that
the location is protected from flooding. Often there are protection measures which do
not functioning normally due to lack of maintenace and no longer correspond to the
modern technologies. Even with perfectly working facilities it must be alwasys
considered that they can not provide absolute protection at a certain risk. Often the
protection degree of the protection measures is not known exactly, so it is difficult to
accurately estimate the effect of the measures, in example for HQ100
FORMATTING OF THE MAPS
According to the Floods Directive, the flood risk assessment should covere the
negative impacts on the following protected categories "human health",
"environment", "cultural heritage" and "business". A prerequisite for achieving this
goal is the definition of clear criteria for assessing the negative effects on each
protected category separately.
CALSSIFICATION OF THE RISK
EUROPEAN UNION
Bulgaria – Serbia IPA Cross-border Programme
“Assessment of flood risk – a base for sustainable development in upper part of Nishava
catchment” Page 19
20. Програма за ТГС по ИПП България – Сърбия
Figure 25 Exemplary map of classification of the inundated areas
EUROPEAN UNION
Bulgaria – Serbia IPA Cross-border Programme
“Assessment of flood risk – a base for sustainable development in upper part of Nishava
catchment” Page 20