Data4Water
Thu., Feb. 15, 2018 – Berlin, Germany

Data4Water: Network of Excellence and Partnership in Smart Data for Water Management

The overall objective of the Horizon2020 project “Data4Water” is to support collaboration in the field of smart data driven e-services in water management, made available to the international community and specific stakeholders such as companies, citizens, and authorities. The consortium has a strong interdisciplinary character, with main focus on information technology. It contributes to a new, interdisciplinary network of excellence and partnership. For further information please join the Data4Water Network of Excellence and Partnership in Smart Data for Water Management.

About the speaker

Mariana Mocanu is Full Professor and Head of the Department of Computer Science and Engineering at the Faculty for Automatic Control and Computers at University Politehnica of Bucharest. She coordinates the H2020 Data4Water project.


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Water Research and Innovation for Sustainable Energy

This presentation introduces a spectrum of water-related research projects oriented at sustainable energy, which have been carried out at IHE Delft with partners from academia, industry and water management sectors. Water plays a key role in the renewable energy mix through hydropower production, but sustainable hydropower development, especially in countries from the Global South, remains a challenge. Past and ongoing research projects at IHE Delft will be presented, addressing hydropower assessment and development as part of integrated river basin management that requires balancing multiple river functions and users. These include projects regarding hydropower development with shared benefits in the Nile river basin, assessing hydropower potential in La Plata river basin, and minimizing environmental impact of hydropower development in Magdalena river basin of Colombia, Irrawaddy Basin of Myanmar and Zambezi Basin of Southern Africa. On the other hand, most water systems are energy consumers, with their pumping, water and wastewater treatment operations. Projects will be presented addressing optimal pumping operations of the water supply system in the city of Milan, Italy, as well as energy efficient water and waste-water treatment technologies that have been piloted in many countries, primarily in the Global South.

About the speakers

Ioana Popescu is an Associate Professor of Hydroinformatics at IHE Delft Institute for Water Education in Delft, The Netherlands. Her teaching and research focuses on computational methods, aspects of flood modeling and vulnerability related to floods, lake and reservoir modeling, and river systems. During her work, she has been involved in several European FP7 and H2020 research projects (IceWater, EnviroGRIDS, Lenvis, Floodsite) as well as other research projects related to development and application of modelling systems for water related areas. These research projects involved collaboration with partner institutions from all over the world.

Andreja Jonoski is an Associate Professor of Hydroinformatics at the IHE Delft Institute for Water Education in Delft, The Netherlands. He works in the field of hydroinformatics for more than two decades, primarily in the areas of modelling different water systems (groundwater aquifers, catchments, urban water supply systems) and their coupling with optimization algorithms for purposes of decision support. He has participated in several large European collaborative research projects related to the field of ICT and water management, involving partners from academia, water management and ICT industry. He has also participated in numerous hydroinformatics research, educational and capacity development projects with partners from Asia, Africa and Latin America.


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The Transboundary Case Study DE-CZ-SK in the EU H2020 Project SIM4NEXUS

Within the HORIZON2020 project SIM4NEXUS (runtime June 2016 – May 2020), there are 10 regional case studies about “Nexus” policy impacts concerning the sectors climate, water, land, food, energy, and their interactions. The Potsdam Institute for Climate Impact Research (PIK) is involved in a transboundary case study covering East Germany, the Czech Republic, and Slovakia. This talk highlights the chosen research foci under the project goals and the approaches and data needs within this case study.

About the speaker

Tobias Conradt studied Geo-Ecology at the Technical University of Braunschweig and – after spending a few years in the media sector – started working at PIK in 2005. His main expertise is about eco-hydrological and agri-cultural yield modelling. In 2013, he got a PhD in Geo-Ecology and Hydrology from Potsdam University.


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Big Data Platforms and Space Technologies for Water Resource Management

The dynamics of water and the role of humans in the water cycle are not well understood largely because environmental and socio-economic analyses have traditionally been performed separately; and the methods, tools, and data needed for multidisciplinary work are not yet at the required level to satisfactory address problems posed in managing resources in aquatic environments. ICT can contribute to several areas of research such as better understanding of efficient use of water resources. Taking over and processing information from European systems for managing satellite data, products and services generated by Copernicus (satellite data via DHUS, Scihub, Land Monitoring Service, Emergency Management Service, Atmospheric Monitoring Service, Maritime Environment Monitoring Service, Climate Change Service, Security Service, DIAS) this presentation presents the main requirements for Big Data platforms to sustain Water Resource Management mechanisms. For example, WaM-DaM Schema can be integrated in new layers of Big Data Platforms (Spark, Flink, etc) and we propose the design of data interfaces that link integrated system models running within an HPC/Cloud environment to multiple data source.

About the speaker

Florin Pop is Associate Professor at the Department of Computer Science and Engineering at the University Politehnica of Bucharest. His general research interests are: Large-Scale Distributed Systems (design and performance), Grid Computing and Cloud Computing, Peer-to-Peer Systems, Big Data Management, Data Aggregation, Information Retrieval and Ranking Techniques, and Bio-Inspired Optimization Methods.


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Predicting Water Quality for Early Warning at Urban River Bathing Sites

Urban rivers are often subject of short term pollution events. Consequently, bathing in urban surface waters is still an exception in European cities. At the same time there are numerous initiatives trying to achieve, that urban surface waters can be used for recreational activities including bathing. In order to manage bathing waters properly the European bathing water directive (EC 2006/7) demands the elaboration of bathing water profiles in which sources of pollution have to be assessed. In this context, BMBF project FLUSSHYGIENE aims to gain a clearer understanding of the entry paths and dynamics of hygienic loads and thus to subsequently elaborate a sound basis for decision-making as well as the tools for managing multifunctional flowing waters in a way that the highest possible protection of public health can be guaranteed without compromising their economic functions. The presentation shows how an early warning at urban river bathing sites in Berlin river Havel can be developed and implemented based on readily available city data and a statistical modelling.

The project FLUSSHYGIENE is sponsored by the federal ministry of education and research under the sponsorship number 02WRS1278A, within the framework ReWaM (Regional Water Management).


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