Modeling tools and Web based technologies can support water resources management by:
1) Applying numerical models to study groundwater, surface water, and marine water dynamics through case studies.
2) Addressing challenges in environmental science like complex multi-scale dynamics and data availability.
3) Developing information systems and simulations to analyze pressures, states, and impacts on the environment and identify critical areas.
DEM-based Methods for Flood Risk Mapping at Large ScaleSalvatore Manfreda
Oral presentation given during the meeting "Valutazione e Gestione del Rischio Alluvioni – Governance del territorio e contributo del mondo scientifico" of the project "Mettiamoci in Riga"
DSD-INT 2021 Webinar 3D water quality modelling using Delft3D FM Suite - VilminDeltares
Presentation by Lauriane Vilmin (Deltares), at the Webinar 3D water quality modelling using Delft3D FM Suite, during Delft Software Days - Edition 2021. Thursday, 9 December 2021.
DEM-based Methods for Flood Risk Mapping at Large ScaleSalvatore Manfreda
Oral presentation given during the meeting "Valutazione e Gestione del Rischio Alluvioni – Governance del territorio e contributo del mondo scientifico" of the project "Mettiamoci in Riga"
DSD-INT 2021 Webinar 3D water quality modelling using Delft3D FM Suite - VilminDeltares
Presentation by Lauriane Vilmin (Deltares), at the Webinar 3D water quality modelling using Delft3D FM Suite, during Delft Software Days - Edition 2021. Thursday, 9 December 2021.
Environmental Management Modeling Activities at Los Alamos National Laborator...Velimir (monty) Vesselinov
esselinov, V.V., et al., Environmental Management Modeling Activities at Los Alamos National Laboratory (LANL), Department of Energy Technical Exchange Meeting, Performance Assessment Community of Practice, Hanford, April 13-14, 2010.
A general overview of the TeraWatt project and wider context (MASTS, EcoWatt2050), followed by a description of the model domain, boundary conditions, calibration points, and so on (Arne Vögler - UHI).
MIKE by DHI 15th UK User Group Meeting - Tuesday 19 March 2013
Stormwater data modeling article, Stormwater magazine, by Don Talend, brand storytelling, content management and demand generation expert. Water engineering industry
Shellfisheries Waters Compliance Assessments at Pegwell BayStephen Flood
Shellfisheries Waters Compliance Assessments at Pegwell Bay in Kent. MIKE by DHI modelling (FM Series) formed a large part of the study, and Jonathan presents some interesting experiences in the use of the Software (Jonathan Short - URS).
MIKE by DHI 15th UK User Group Meeting - Tuesday 19 March 2013
DSD-INT 2020 Real Time Hydrologic, Hydraulic and Water Quality Forecasting in...Deltares
Presentation by Tony McAlister, WaterTech, at the Delft3D User Days - Australian Time zone: Inland to Estuary, during Delft Software Days - Edition 2020. Tuesday, 10 November 2020.
This is the English translation, with some relevant corrections, of the talk I gave at University of Calabria, about the contemporary and post-contemporary flood forecasting.
The California Central Valley Groundwater-Surface Water Simulation Model (C2VSim) simulates the monthly response of the Central Valley’s groundwater and surface water flow system to historical stresses, and can also be used to simulate the response to projected future stresses. C2VSim contains monthly historical stream inflows, surface water diversions, precipitation, land use and crop acreages from October 1921 through September 2009. The model dynamically calculates crop water demands, allocates contributions from precipitation, soil moisture and surface water diversions, and calculates the groundwater pumpage required to meet the remaining demand.
Environmental Management Modeling Activities at Los Alamos National Laborator...Velimir (monty) Vesselinov
esselinov, V.V., et al., Environmental Management Modeling Activities at Los Alamos National Laboratory (LANL), Department of Energy Technical Exchange Meeting, Performance Assessment Community of Practice, Hanford, April 13-14, 2010.
A general overview of the TeraWatt project and wider context (MASTS, EcoWatt2050), followed by a description of the model domain, boundary conditions, calibration points, and so on (Arne Vögler - UHI).
MIKE by DHI 15th UK User Group Meeting - Tuesday 19 March 2013
Stormwater data modeling article, Stormwater magazine, by Don Talend, brand storytelling, content management and demand generation expert. Water engineering industry
Shellfisheries Waters Compliance Assessments at Pegwell BayStephen Flood
Shellfisheries Waters Compliance Assessments at Pegwell Bay in Kent. MIKE by DHI modelling (FM Series) formed a large part of the study, and Jonathan presents some interesting experiences in the use of the Software (Jonathan Short - URS).
MIKE by DHI 15th UK User Group Meeting - Tuesday 19 March 2013
DSD-INT 2020 Real Time Hydrologic, Hydraulic and Water Quality Forecasting in...Deltares
Presentation by Tony McAlister, WaterTech, at the Delft3D User Days - Australian Time zone: Inland to Estuary, during Delft Software Days - Edition 2020. Tuesday, 10 November 2020.
This is the English translation, with some relevant corrections, of the talk I gave at University of Calabria, about the contemporary and post-contemporary flood forecasting.
The California Central Valley Groundwater-Surface Water Simulation Model (C2VSim) simulates the monthly response of the Central Valley’s groundwater and surface water flow system to historical stresses, and can also be used to simulate the response to projected future stresses. C2VSim contains monthly historical stream inflows, surface water diversions, precipitation, land use and crop acreages from October 1921 through September 2009. The model dynamically calculates crop water demands, allocates contributions from precipitation, soil moisture and surface water diversions, and calculates the groundwater pumpage required to meet the remaining demand.
In territori ampi come la Sardegna in cui il raggiungimento delle strutture ospedaliere specializzate può richiedere tempi di viaggio incompatibili per la sopravvivenza del paziente diventa fondamentale ampliare il campo di applicazione delle tecnologie informatiche al campo medico. Per soddisfare questa esigenza clinica è nato il progetto REMOTE finanziato dall'Assessorato alla Programmazione della RAS che ha visto coinvolti la Struttura Semplice Dipartimentale di Cardiologia Pediatrica dell'Ospedale Brotzu diretta dal Dottor Tumbarello ed il programma Healthcare Flows del CRS4. REMOTE è finalizzato a permettere allo specialista di effettuare diagnosi a distanza ed in real-time guidando ove necessario l'esecuzione dell'esame effettuato da un operatore specializzato. Durante il seminario verrà illustrato il sistema integrato e le tecnologie utilizzate per la realizzazione dell'infrastruttura basata sul riutilizzo e l'integrazione di tecnologie esistenti ed a basso costo, preferibilmente Open Source.
Gli asset digitali vanno assumendo un ruolo sempre più pervasivo in tutte le economie moderne. La crescita delle industrie creative e il proliferare dell'user-generated content guidano la necessità di disporre di soluzioni per la gestione di grosse collezioni di contenuti digitali attraverso il loro intero ciclo di vita. Il workshop, partendo da una panoramica delle principali problematiche relative alla catalogazione delle collezioni digitali, descriverà algoritmi e tecniche utilizzabili per l'indicizzazione automatica dei contenuti, attraverso il riconoscimento dei volti e degli speaker. Inoltre verranno presentate le soluzioni sviluppate dal CRS4 nell'ambito del progetto "ACTIVE: Archiving & Classification Tools for the Intelligent Video Ecosystem", finalizzato alla realizzazione di una piattaforma open-source di catalogazione intelligente mirata a valorizzare le collezioni digitali di imprese che operano nell'industria dei contenuti, finanziato dal Programma di Sardegna Ricerche "Azioni Cluster Top-Down" a valere su fondi POR Sardegna FESR 2007/2013 - ASSE VI COMPETITIVITÀ Linea di attività 6.1.1.A “Promozione e sostegno all'attività di RSI dei Poli di Innovazione e dei progetti strategici”.
Integration of the MODFLOW Lak7 package in the FREEWAT GIS modelling environmentMassimiliano Cannata
The MODFLOW Lake Package is integrated into the FREEWAT GIS environment in order to simulate surface water - groundwater interaction using state of the art techniques for numerical simulations, thus allowing the improved consideration of surface water bodies for water resources management. Surface water bodies, both stationary and flowing, can strongly affect groundwater elevations and flow patterns which in turn may affect the qualitative and quantitative state of groundwater resources. With the advancement of numerical simulation techniques and increased model complexity, FREEWAT facilitates the usage of the lake package through existing QGIS tools to edit model layer geometry as well as an intuitive and simple user interface for the specification of constant and time variable lake properties as defined through MODFLOW.
DSD-INT 2023 RESTCOAST ecotope quantification using D-Eco Impact - CaillibotteDeltares
Presentation by Remi Caillibotte (Egis, France), Benjamin Jacob (Hereon, Germany) and Richard Marijnissen (Deltares, Netherlands) at the Delft3D User Days, during the Delft Software Days - Edition 2023 (DSD-INT 2023). Thursday, 16 November 2023, Delft.
2018 National Tanks Conference & Exposition: HRSC Data VisualizationAntea Group
Two of our High-Resolution Site Characterization (HRSC) Data Visualization posters featured at the 2018 NTC Conference in Louisville, KY.
1. Using Data Management and 3-Dimensional Data Visualization to Generate More Complete Conceptual Site Models and Streamline Site Closure
2. High-Resolution Site Characterization (HRSC) and 3-Dimensional Data Visualization for a Fractured Rock Site: A Path to Streamlined Closure
Machine Learning Classification to predict water purity based on Viruses and ...CloudTechnologies
Machine Learning Classification to predict water purity based on Viruses and Bacteria levels
Water is a major resource in every day’s life for humans, animals and plants. The quality of water polluting due to the industrialization, mining, and some other factors. Drinking water and irrigation water are two different types, and the quality levels to be measured based on the usage. The world health organization released some threshold values based on some water parameters. The metrics are named as The Water Purity by Assessing and Eliminating Viruses and Bacteria (WPAEVB) and Irrigation WQI (IWQI) which can measure the water quality. This paper proposed a network architecture to analyze all the parameters by using machine learning tools (ML) tools which will determine the drinking water an irrigation water based on virus and bacteria values. The model is developed based on LoRa and land topology. Here we used three models SVM, logistic regression (LR), and random forest (RF) to know whether irrigation water is being used for drinking water by detecting the percentage and levels of bacteria and virus. The dataset was developed based on the ML models due to the lower availability of datasets related to irrigation and drinking water and bacteria and virus percentage is also calculated by using three models. After applying all the models, LR given the best performance for drinking water and SVM given the best results for irrigation water. The recursive feature elimination was done by applying all three mL models.
International Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity.
Complexity Neural Networks for Estimating Flood Process in Internet-of-Things...Dr. Amarjeet Singh
With the advancement of the Internet of Things (IoT)-based water conservation computerization, hydrological data is increasingly enriched. Considering the ability of deep learning on complex features extraction, we proposed a flood process forecastin gmodel based on Convolution Neural Network(CNN) with two-dimension(2D) convolutional operation. At first, we imported the spatial-temporal rainfall features of the Xixian basin. Subsequently, extensive experiments were carried out to determine the optimal hyperparameters of the proposed CNN flood forecasting model.
Review of Groundwater Surfacewater Interaction Modelling Sofware Approaches ...eWater
This report presents the outcomes of a review of the available approaches for modelling groundwater–surfacewater interactions at various spatial and temporal scales with different levels of complexity. It is aimed at determining the deficiencies of the current water modelling approaches for Australian conditions and making recommendations for future model development.
DSD-NL 2018 Evolutie in het leveren van ruimtelijke en temporele water gerela...Deltares
Presentatie door Arnold Dekker, SatDek, Australian National University, op de Delft-FEWS NL Gebruikersdag 2018, tijdens de Deltares Software Dagen - Editie 2018. Dinsdag, 5 juni 2018, Delft.
C4.02: Development of an Integrated Global Water Quality Monitoring and Forec...Blue Planet Symposium
Surface waters are generally viewed as a hydrologic continuum, flowing from inland water sources through estuaries to the open oceans. The GEO Working Group on Earth Observations of Inland and Near-Coastal Waters (WA-01-C4) has organised the Water Quality Summit in Geneva 20-22nd April 2015 with the aim of charting the future of earth observation and in situ measurements based global water quality monitoring and forecasting systems. The relationship to GEO Blue Planet lies in the coastal zone.
There is a crucial need for timely, accurate, and widespread assessment and monitoring and forecasting of inland and near-coastal water quality. However, existing measurement and forecasting capabilities have significant logistical, technical, and economic challenges and constraints, impacting both developed and developing nations. This summit was endorsed by GEO as a part of the water quality task (WA-01-C4) and the GEOSS Water Strategy with the mission to deliver, on a routine and sustained basis, timely, consistent, accurate and fit-for -purpose water quality data products and information to support water resource management and decision making in coastal and inland waters. The Summit goal is to define specific requirements of the water quality system components and develop a plan to implement integrated global end-to-end water quality monitoring and forecasting service. We present the results of this meeting: Development of a strategic implementation and a phased action plan including baseline and threshold service build-outs, with both a short-term and a long-term plan for a global-scale water quality monitoring and forecasting service. Some feedback will be given on the CEOS–GEOSS Water Strategy Implementation plan as well as other international related activities.
INDYMO is a recently created start-up that works in the field of the management of water resources and water quality. Our focus is on innovative ways of monitoring water quality and ecology using underwater drones (dynamic). Until now we have been working with an underwater drone equipped with water quality sensors and a video camera. A new drone is currently in the development stage, and our goal is to make it an efficient and powerful tool, suitable for various uses and applications in the field of water.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
DSD-INT 2023 The Danube Hazardous Substances Model - KovacsDeltares
Presentation by Adam Kovacs (ICPDR, Austria), Jos van Gils (Deltares, Netherlands) at the Delft3D User Days, during the Delft Software Days - Edition 2023 (DSD-INT 2023). Thursday, 16 November 2023, Delft.
Similar to Presentazione Pierluigi Cau, 24-05-2012 (20)
Tutti a Iscol@ 2017, presentazione della Linea B2: Laboratori Extracurriculari Didattici Tecnologici.
L'iniziativa è promossa da: Regione Autonoma della Sardegna (Assessorato della Pubblica Istruzione);
Agenzia Regionale Sardegna Ricerche;
CRS4.
Ulteriori informazioni: http://iscola-lineab2.crs4.it/
Sardegna Ricerche
CRS4
Presentazione del progetto "Iscol@ Linea B": laboratori didattici innovativi finalizzati all’apertura al territorio delle Istituzioni scolastiche. Regione Autonoma della Sardegna, Agenzia Sardegna Ricerche, CRS4
I progressi tecnologici raggiunti nel campo delle strategie di sequenziamento degli acidi nucleici ("Next Generation Sequencing", NGS) permettono oramai di ottenere con facilità le informazioni contenute all’interno dell’intero genoma umano. Ma solo una piccola percentuale (stimata a 1,6%) del genoma umano viene tradotto nelle proteine che fanno funzionare il corpo umano. Il sequenziamento esomico ("Whole exome sequencing") si concentra proprio sulle parti del genoma che codificano le proteine ("i geni") perché la ricerca di varianti in tali regioni permette di trovare le modificazioni funzionali delle proteine che sono associate a malattie. Dovendo sequenziare solo circa 1/60 dell’intero genoma si ha la possibilità di avere una migliore accuratezza e di ridurre tempi e costi del sequenziamento. Per questo motivo il sequenziamento esomico è diventato uno dei metodi di diagnosi genetica più utilizzato dai medici (sopratutto nel caso in cui non ci siano ipotesi sui geni coinvolti nella malattia).
The presentation discusses a new method for imaging seismic data that was recently implemented on the SmartGeo cloud computing portal (https://smartgeo.crs4.it/enginframe/eiagrid/eiagrid.xml). The method is particularly suited for near-surface applications such as geotechnical engineering or environmental studies. It is shown that instead of limiting the stacking velocity analysis to single Common-Midpoint-Gathers, groups of neighboring Common-Midpoint-Gathers gathers are considered to identify entire reflection surfaces in the data. As a result the extracted kinematic properties of the subsurface, e.g. wave-propagation velocities, are more reliable and the final data stacking leads to a more detailed subsurface image even in case of noisy prestack data and laterally strongly variable velocities. In the second part of the presentation, the successful application of the proposed method is discussed in a case study based on a ultra-shallow seismic SH-wave data set recorded close to Teulada, Sardinia, Italy.
Valentina Spanu: esempi di applicazioni di GIS Partecipativo; gestione delle riserve idriche, energia solare, ristrutturazione di un edificio scolastico in Marocco; riduzione del rischio di disastro naturale in Georgia.
Alfonso Damiano (Università di Cagliari) Tecnologie ICT per le reti intelligenti di energia - evoluzione dei sistemi di distribuzione elettrica, anche con riferimento alla situazione della Regione; smart grid, micro grid e virtual power plant; stato della ricerca nel settore; potenzialità offerte dall'integrazione tra sistema elettrico e sistema della mobilità; reti intelligenti in una visione di smart city.
Workshop organizzato dal CRS4 nell'ambito della Collana di seminari per la valorizzazione e trasferimento dei risultati della Ricerca.
Viene illustrato il problema della raccolta efficiente e scalabile dei dati da potenziali sorgenti di Big Data. Inoltre verrà fatta una carrellata su alcuni tra i più popolari software utilizzabili in una pipeline di data streaming in realtime e/o batch analysis.
La caratterizzazione chimico-analitica del profilo metabolico di una serie di pazienti di sindrome fiobromialgica e di controlli, è stata integrata con un approccio modellistico per validare l'ipotesi che i lipidi sovra-rappresentati nei pazienti fossero in grado di interagire, attivandolo, con il recettore deputato alla modulazione dei meccanismi biologici del dolore, il PAFR, in maniera simile a quanto fatto dal ligando endogeno PAF. Al momento attuale non esistono test di laboratorio o marcatori biologici che possano confermare lo stato di malattia, per cui questo approccio rappresenta un primo passo verso la definizione di biomarcatori per la diagnosi e per il monitoraggio.
Innovazione e infrastrutture cloud per lo sviluppo di applicativi web e mobile orientato alla geomatica in contesto Smart City. Roberto Demontis (CRS4)
Questo corso riguarda gli aspetti teorici della propagazione delle onde sismiche e i principali legami tra caratteristiche di propagazione (velocità, attenuazione) e caratteristiche geometriche e fisico-meccaniche dei materiali del sottosuolo. Successivamente, saranno illustrati gli aspetti pratici dell'utilizzo dei metodi sismici a riflessione per la caratterizzazione dei suoli e delle rocce, delineando gli aspetti essenziali delle fasi di acquisizione, elaborazione ed interpretazione dei dati e le loro applicazioni in campo ingegneristico. Infine verranno dati alcuni cenni sul principio di funzionamento del GPR e sulle sue applicazioni pratiche.
Viene presentato e discusso (in inglese) in dettaglio l'utilizzo della piattaforma EIAGRID/SmartGEO in due casi studio significativi per le applicazioni geotecniche e ambientali. Al termine, l'utente interessato dovrebbe essere in grado di utilizzare in modo autonomo la piattaforma attraverso il portale SmartGEO.
Viene descritta la piattaforma EiAGRID/SmartGeo, un portale di calcolo e analisi dati per sismica a riflessione e acquisizioni GPR multioffset, che mette a disposizione dell'utente una serie di servizi di calcolo e di processing accessibili attraverso un'interfaccia Web basata su un'infrastruttura Grid. La piattaforma consente all'utente in campo, tramite un dispositivo client (laptop, PC, tablet, etc.), di usufruire di una serie di servizi computazionali che risiedono e girano su server remoti, secondo il paradigma SaaS (Software as a Service). Verranno illustrate le soluzioni modellistiche e tecnologiche adottate e alcuni risultati ottenuti su dati reali.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...
Presentazione Pierluigi Cau, 24-05-2012
1. Modeling tools and Web based
technologies to support water
recourses management
Pierluigi Cau
Energy and Environment Program
Center for Advanced Studies, Research and
Development in Sardinia
plcau@crs4.it
CRS4
Sardegna Ricerche, 09010 Pula CA, Italy
http://www.crs4.it
2. The mission of the E &E program
CRS4 Mission and the Grand Challenges in the
Environmental Sciences
• Development of physical and numerical models
implemented on HPC platforms for high resolution
simulations
• Software tools development for the analysis and
management of environmental data, integration of
information systems and numerical applications
3. Expertise: Environmental Science
• Hydrological (SWAT, T-RIBS, MIKE SHE, Qual 2K) – Groundwater (CODESA 3D,
Modflow, Feflow) – Ocean Modeling (GETM, GOTM)
• HPC platforms, Cloud and Distributed Computing, Virtualization technologies in
the field of Environmental management and monitoring
• WEB based information systems that relies on a geographically distributed GIS,
RDBMS, complex models
4. Objectives of the presentation
The aim is to present:
1. the application of ICT numerical tools to study water dynamics for:
- Groundwaters
- the Oristano and the Portoscuso case studies,
- Surface water
- The Cedrino, San Sperate, ….. Case studies
- Marine waters
- The Orosei and Asinara case study
2 .The challenges in the environmental science
3. Future work
5. ISSUES: Environmental Science
Complexity of environmental issues
- multimedia environment,
- multi scale (time and spatial) dynamics
- complexity of the description of the system (lack of quality data)
- characterization of the territory and the interaction with atmosphere:
- complexity of anthropogenic pressures:
• agricultural, zootechnical, civil, industrial pollution
- Complexity of environmental dynamics
- climate change
• The Intergovernmental Panel on Climate Change predicts a further rise
of the air temperature between 1.4°C and 5.8°C by the end of the
century and as a consequence a sea level rise of about 1 to 2 mm/year.
- EU/National/Regional Directives (EU WFD, MSFD, etc.)
There is a need to improve comprehension and modeling technique at scales
relevant to decision making of climate induced changes
6. ISSUES: Environmental Science
Tools
Data, expertise, numerical codes, analysis and visualization tools, etc.
Objectives
Improve the wise management of water and natural resources by:
• Predict the impact of environmental changes, such as climate or land
use changes, on water resources;
• Better comprehend the cause-effect relationship on the local and
large scale (natural and anthropogenic stresses versus ecosystem
responses)
• ….
Improve the usability of models and the interoperability between systems
through mesh up of web applications
Fill the gap between research and production (PA, economic operators,
etc.)
7. From Modeling to Industrial Projects
Environmental issues make necessary a strong integration of
expertise from different disciplines, made possible through the
development of virtual organizations of federated entities
Decision
makers
Problem
definition
Possible
alternatives
DPSIR: a causal framework for describing Development &
the interactions between society and the Implementation
environment: Performance
Driving forces (e.g. industrial production) evaluation
Pressures (e.g. discharges of waste water)
States (e.g. water quality in rivers and lakes)
Impacts (e.g. water unsuitable for drinking)
Responses (e.g. watershed protection)
8. From Modeling to WEB Services
A problem-solving cloud platform for the
integration, through a computing portal, of The virtual organization acts as a
resources for service provider while each
communication partner becomes the recipient of
computation the WEB services
data storage
visualization A cloud is an infrastructure that allows
simulation software the integrated and collaborative use of
instrumentation virtualized resources owned and
human know-how managed by one or more entities
in Environmental Sciences
9. Some Projects: 2002-2010
PdTA – Piano di Tutela delle Acque secondo la 152/99
Decision Support and Information System for water management
http://www.regione.sardegna.it/j/v/25?s=26251&v=2&c=1260&t=1
Datacrossing / Climi Aridi
Web based tools for groundwater management and monitoring
http://datacrossing.crs4.it
Climb
Integration of climate and hydrological model
www.climb-fp7.eu/
EnviroGRIDS - Nuvola
Web based Information System and tools to model superficial waters
http://www.envirogrids.net
MOMAR
Web tools to model the water cycle: from the watershed to the marine environment
http://www.mo-mar.net
11. Groundwaters
Challenges:
Challenges Model set-up, calibration and uncertainty.
set-
Kh and Kv are assumed deterministic for the phreatic aquifer on the basis of
limited field data
lateral inflow and vertical recharge boundary conditions for the
groundwater model are indirect measure (e.g. calculated by the SWAT code)
the geometry has been built on the basis of heterogeneous data (geologic
map, boreholes and geophysical data)
uncertainty of the interactions between the superficial water bodies and the
groundwater system:
- disconnected (I conceptualization)
- connected or partially connected (II conceptualization)
lack of adequate control data (heads and concentrations)
few control points - few measures
13. Groundwaters : the Oristano Case study
Study the hydrodinamic and the seawater intrusion process
of the aquifer;
Quantify the effect of a possibly discontinuous aquitard on
the salt dispersion process;
Identify contaminated areas more sensitive to aquitard
heterogeneity;
Evaluate the impact of alternative exploitation schemes on
the salt water intrusion;
14. Groundwaters : the Oristano Case study
• soil surface 280 x106 m2 ~ 270 km2;
• aquifer average thickness t =123 m, 18 m < t < 218 m;
• aquifer volume 17.8 x109 m3
•2D surface nodes 1873; 2D surface triangles 3618;
• vertical layers 10;
• 3D nodes 20603; 3D tetrahedra 108540
zoom
A
A
17. Groundwaters: the Oristano Case study
Alternative aquifer exploitation schemes
The Monte Carlo simulation has been run for each of the following
scenarios:
A. A. Pumping from the phreatic aquifer only;
B. B. Pumping from the deep aquifer only;
C. C. Pumping from both aquifers together.
18. Groundwaters: the Oristano Case study
Aquitard hydraulic conductivity K is assumed as the sole source of
uncertainty. K is modeled as a stationary random function with a lognormal
distribution y = ln(K) with K=10-8 m/s, s2(y) = 10 and an exponential
covariance function.
An example of a ln(K) synthetic realization
σ
(σ2 = 10)
Methodology:
1. Generate NSIM synthetic
realizations of the K field by means of
a stochastic (HYDRO_GEN) model;
2. Simulate the NSIM correspondent
pressure heads and concentrations
using the coupled flow & transport
CODESA-3D model;
3. Perform a probabilistic threshold
analysis and evaluate the performance
of the system by means of ensemble
indicators.
Lighter colors represent aquitard “holes”
19. Groundwaters: the Oristano Case study
Monte Carlo iterates to garantee stationarity
normalized avarage of the I moment versus number of iterates
4
normalized avarage of the II moment versus number of iterates
2
0
-2
-4
-6
0 10 20 30 40 50 60 70 80 90 100
20. Groundwaters: the Oristano Case study
Saltwater front ( c = 0.1 [/]) probability map
Pumping schemes: A and B
A B
20
22. Groundwaters: the Oristano Case study
Contaminated areas sensitive to aquitard heterogeneity
NSIM (cij - c i ) 2
Time evolution of the
concentration nodal variance (4th layer)
σ i2 = ∑j=1 NSIM
10 Years 25 Years 40 Years 50 Years
σ2(c)
Pumping case (A)
22
24. Groundwaters : the Portoscuso case study
Study the hydrodinamic and contamination of the aquifer;
Set up a numerical procedure to find the most likely pollution
sources;
Identify the area controlled by the monitoring wells
Set up an interactive Information system to view result;
28. Groundwaters: Datacrossing
Optimal Water Resources Manager: from Field Data to the
Contamination Source (an Inverse Problem)
The most likely
contamination source
The DSS interpolates the simulated
nodal concentrations generated by the
groundwater application and visualizes them
using MapServer and msCross from
Datacrossing
29. Groundwaters: Portoscuso
Optimal Water Resources Manager: from Field Data to the
Contamination Source (an Inverse Problem)
Montecarlo Sim Disk space Total Disk Space
(1 PP) 2238 45 MB/sim 100 GB
Montecarlo Sim CPU time/sim Total CPU Time
(1 PP) 2238 5 min-6 ore about 2 months
30. Groundwaters: monitoring wells
T= 0
T= 12
The model is used to assess the
T= 6
effectiveness of the monitoring network in
detecting contamination. The area of
influence of 41 wells, at different time steps
(from top to bottom: 0 months, 6 months,
12 months) is shown in light blue. Outside
this area, within the same time period,
contamination sources will not affect the
water quality of the wells. The monitored
areas are expected to become larger with
time as shown in this figure.
32. Groundwaters: Datacrossing /Climi Aridi
The OUED LAOU test case (Marocco)
Objectives of the project
• Increasing the level of knowledge of the Mediterranean coastal
aquifers developing the hydrogeological model of the Oued Lou;
• Developing innovative procedures and tools and improve the
understanding of geographically distributed hydro-geological,
physical, and geo-chemical variables;
• Increase cooperation between Sardinia and Marocco through:
– training for students and advanced training for researchers
– seminars and dissemination events
33. Hydrology: EnviroGRIDS/Nuvola
Modeling Environmental Dynamics
Development and implementation of
Objectives mathematical methods and innovative WEB
• Analyze pressures, states and based ICT tools to support adaptive
impacts on the environment; strategies to face issues of water and soil
• Identify critical areas (e.g. resource vulnerability
affected by desertification);
• Run scenarios on a multi model
& multi scale framework
• produce report on a friendly
environment;
• Improve model usability;
• Improve public consciousness.
34. Hydrology: EnviroGRIDS / Nuvola
THE SWAT Model
It is a hydrological watershed-scale model developed by the
USDA Agricultural Research Service (ARS) and Texas A&M
University.
SWAT aims at predicting the impact of land management
practices on water, sediment, and agricultural chemical yields
in large complex watersheds with varying soils, land use, and
management conditions
over long periods of time.
The water cycle (precipitation, run off,
infiltration, evapotranspiration, etc.),
sediment cycle, crop growth,
nutrient (N, P) cycle are directly
modelled by SWAT.
38. Hydrology: Cedrino
Calibration
NASH-SUTCLIFFE
INDEX [-∞,1]
Calibration period (1957-1964) HRU
Initial K NS -4,4 MULTIPLE
HRU
SWATCUP (1500 runs): NS finale 0,41 DOMINANT
The complexity of the
simulation has been increased
40. Hydrology: Soil water stress
Modeling Environmental Dynamics: the agricultural
drought for the Black Sea catchment
The Yellow/orange
indicates
soil water deficit
41. Hydrology: the Black sea Catchment
Modeling Environmental Dynamics: the agricultural
drought for the Black Sea catchment
We assess and quantify complex environmental dynamics through the use of sophisticated,
reliable models.
The Yellow/orange
indicates
soil water deficit
42. Hydrology: The Gange (India) river
Modeling Environmental Dynamics: water quality and
quantity states
43. Hydrology: Climate analysis
The Objective is to:
- check the atmospheric/climate model output and see if they
are consistent with the SWAT model specification
- set up a semiautomatic procedure to gather meteorological
data and produce climatic data fit for the SWAT Model
- analyze the effect of the spatial downscaling on the water
balance for a case study
- Quantify the uncertainty of the meteo-hydrological model
chain. What limitation/uncertainty do we expect to have by
using the meteorological data to feed the hydrological model?
44. Hydrology: Climate analysis
The Objective is to:
- check the atmospheric/climate model output and see if they
are consistent with the SWAT model specification
- set up a semiautomatic procedure to gather meteorological
data and produce climatic data fit for the SWAT Model
- analyze the effect of the spatial downscaling on the water
balance for a case study
- Quantify the uncertainty of the meteo-hydrological model
chain. What limitation/uncertainty do we expect to have by
using the meteorological data to feed the hydrological model?
45. The ensemble climate model
The Ensembles Prediction Systems is based on global
Earth System Models (ESMs) developed in Europe for use in
the generation of multi-model simulations of future climate
The project provides improved climate model tools developed
in the context of regional models, first at spatial scales of 50
km at a European-wide scale and also at a resolution of 20 km
for specified sub-regions.
46. The ensemble climate model
A comprehensive analysis has been carried out.
Complete daily data Incomplete daily data Missing data
Istitution Country Note
CNRM-ARPEGE-new France No data – Only ancillary
CNRM-ARPEGE-old France No data – Only ancillary– Lustrum step
DMI Denmark
DMI-BCM Denmark No data – Only ancillary – Start: 1961
DMI-ECHAM5 Denmark Last time interval: 2091-2099 (9 years instead of 10)
ETHZ Switzerland Last time interval: 2091-2099 (9 years instead of 10)
GKSS-IPSL Germany No Daily step
HadRM3Q0 UK
HadRM3Q16 UK
HadRM3Q3 UK
ICTP Italy
KNMI Netherlands Is present a yearly simulation (1950-1950)
METNO Norway Last time interval:2041-2050
METNO-HadCM3Q0 Norway Last time interval:2041-2050
MPI Germany
SMHI-BCM Sweden Start: 1961-1970
SMHI-ECHAM5 Sweden
SMHI-HadCM3Q3 Sweden
VMGO Russia Last time interval: 2021-2030 (pr); 2011-2020 (tasmin, tasmax)
49. Ocean dynamics: MOMAR
Modeling Marine Water Dynamics
A multi-model and multi-scale WEB-based
environment for coastal protection
Objectives
• Analyze pressures on coastal
areas;
• Identify major pollution sources;
• Model the bio-geochemical
status of the sea;
• Run scenarios on a multi model
& multi scale framework;
• Produce report on a friendly
environment;
• Improve the monitoring network;
• Improve model usability;
• Improve public consciousness.
50. Ocean dynamics: GETM
General Estuarine Transport Model (GETM)
GETM is a Public Domain, finite difference numerical 3D
oceanographic model, most efficiently used to study shallow
waters and natural processes in natural marine waters.
GETM simulates hydrodynamic
and thermodynamic processes in
natural waters, like currents, sea
level, temperature, salinity, and
vertical / turbulent mixing.
51. Ocean dynamics: GETM
The GETM workflow
• a batch procedure downloads daily:
- updated meteorological/oceanographic
data from regional models:
1. http://nomads.ncep.noaa.gov/
2.http://www.ifremer.fr/thredds/catalog.html
• Boundary (BC) and Initial Condition (IC) are
interpolated on the high resolution GRID from the
above data for the GETM oceanographic model.
• a set of configuration files are updated to match
each new operational condition;
• GETM is run and produce outputs in NETCDF
format (about 4 GB ).
• Each output file is processed to produce a
spatialite db file to be displayed on the WEB
interface .
59. Conclusion
Environmental issues make necessary a strong integration of expertise from different
disciplines, made possible through the development of virtual organizations of federated
entities
Reliable model prediction is primarily based on the acquisition and the efficient use of large
quality dataset and the development of an interdisciplinary approach to the study.
Today SW technology makes almost transparent the operability of a cloud/grid
infrastructure (network, compute and data resources) for the sharing and the exploitation
of complex applications via Internet
Shifting environmental applications from the desktop oriented approach to the web based
paradigm enhances flexibility in the whole system, extends the use of data and the sharing
of experiences, fostering user participation.
60. Conclusion
With the collaboration of:
Simone Manca, Davide Muroni, Costantino Soru, Marco Pinna,
Giuditta Lecca, Fabrizio Murgia, Antioco Vargiu, Gian Carlo Meloni,
Carlo Milesi, Paolo Maggi, Stefano Amico, Ernesto Bonomi, Michele
Fiori, Elisaveta Peneva, Gian Piero Deidda, and many more!!!
With the support of:
Regione Autonoma della Sardegna, Climb project, Nuvola project,
EnviroGRIDS project, MOMAR project