Integration Of Water Supply Distribution Systems By Using Interoperable Standards To Make Effective Decisions

This paper aims at presenting current standards used and their implementation to integrate different decision making tools spread throughout the Water Supply Distribution Chain. Nowadays in Europe the water supply distribution managers use many tools to perform their decisional processes and multiple data sources to aid in decision making which are totally unconnected and use different communication languages. The data and protocols heterogeneity provides a lack of fluidity in communications between the tools, and in many cases non-existent. An architectural proposal, which uses hydrologic standards, with the aim to offer a common way to interconnect existing tools and data to provide an easy way to take better and effective decisions, is proposed in this paper. To achieve the goal, tasks such as the identification and analysis of the different standards and protocols that are currently present in the water world have been reviewed focusing in the OGC standards as main target. Moreover, the current tools used for decision making in the water supply distribution approaches have been identified and analysed to detect the key issues for their integration through these standards. Furthermore, a background of water supply distribution chain systems, interoperability and standards in hydrological systems are also summarized. Finally, the paper presents the work done showing that OGC standards such as OGC WPS, OGC WMS, OGC WFS, OGC SOS, WaterML2 should be used to create an open interface which permits integrate different building blocks such as demand management systems, decision support systems and others in a common framework. This paper will also observe work done so far in WatERP EU\u27s Seventh Framework Programme (FP7) project

UrbanWater And WatERP: Decision Support Systems For Efficient And Integrated Water Resources Management

In this work we present UrbanWater and WatERP, two EU-FP7 projects with the common objective of designing and developing innovative ICT solutions to integrate real-time knowledge on water demand and supply across water distribution networks. On one hand, WatERP proposes to develop a web-based Open Management Platform (OMP) supported by real-time knowledge on water supply and demand, enabling the entire water distribution system to be viewed in an integrated and customized way. The OMP provides inferred information regarding water supplies, flows, water consumption patterns, water losses, distribution efficiency, and water supply and demand forecasts to the user. This information is stored in a Water Data Warehouse using semantics and open standards (such as WaterML 2.0) which are defined in the ontology developed to ensure interoperability and maximize usability. In addition, external linkages to costs, energy factors, control systems, data acquisition systems, external models, forecasting systems and new data sources are made available for easy integration into the system. On the other hand, UrbanWater proposes to develop an ICT-based platform for efficient and integrated management of urban water resources, incorporating weather prediction and water availability data, household consumption data, and water distribution among others. Its design corresponds to a highly flexible Spatial Decision Support System capable of connecting manifold data sources and data processing modules that enable to (i) effectively estimate water demand in urban water areas to manage water distribution networks in an efficient way; (ii) reduce waste of water and economic losses associated to leakages; (iii) smoothen daily water demand peaks in order to save costs; and (iv) provide an off-line and on-line operation framework that allows defining scenarios of availability and demand to test specific strategies for the distribution network operation

How effectively (or not) can science and research be turned into adopted solutions and policies?

How to create an impact on policies, operations, and society across the interdisciplinary sectors in which we - as researchers - are involved? Managing the Water-Energy-Food-Ecosystem (WEFE) nexus and pursuing climate resilience is the core task of several European (EU) projects and is in the highest interests of our society. The European Commission’s research funding programs attempt to address a large range of topics and offer unique opportunities for scientists to create a tangible impact on the environment and society. We are currently involved in different EU projects, including AWESOME (PRIMA), which aims at managing the WEFE nexus across sectors and scales in the South Mediterranean exploring innovative technologies such as soilless agriculture in the Nile Delta; CLINT (H2020), which is developing Machine Learning (ML) techniques to improve climate science in the detection, causation, and attribution of extreme events to advance climate services; IMPETUS (H2020), whose efforts are dedicated on the elaboration of climate data space enhanced with ML algorithms to support the elaboration of climate policies; REACT4MED (PRIMA), which focuses on combating land degradation and desertification by improving sustainable land and water management through the identification of local good restoration practices and their potential upscaling; Gaza H2.0: Innovation and water efficiency (EuropeAid), which aims at promoting efficient and sustainable water supply and demand as well as knowledge transfer to enhance resilience against water scarcity in Gaza; GoNEXUS (H2020), which is developing an evaluation framework to design and assess innovative solutions for an efficient and sustainable coordinated governance of the WEFE nexus; NexusNet (COST), which creates the network and the community of WEF nexus advocates for a low-carbon economy in Europe and beyond; NEXOGENESIS (H2020), which focuses on streamlining water-related policies with artificial intelligence and reinforcement learning; MAGO (PRIMA), which builds web applications for water and agriculture in the Mediterranean; BIONEXT (HEU), which is interlinked with the Intergovernmental Panel on Biodiversity and Ecosystem Services and aims at creating transformative change through nexus analysis. Despite the efforts of the scientific community, there is still a gap between research and practice. Researchers face difficulties in engaging stakeholders and decision-makers to jointly explore and shape the developed solutions, as well as to truly adopt them. The large-scale implementation of suitable technological solutions might require time and financial resources beyond the project’s lifetime and capacity. The lack of follow-ups and collaboration among projects with similar aims can be some of the reasons lying behind. Also, the complexity of finding open data in data-scarce regions makes results less trustable in the eyes of international agencies, while the pressure of publishing often turns research tasks into pure academic exercises. To what extent does the European strategy work? Is it only gaining scientific advances or also leading to local policy changes? Engaging important local actors (e.g., ministries), small-medium enterprises and societal members in the project consortia, empowering scientists by ensuring feedback loops with local governmental agencies, including the human dimension into modelling, and running effective capacity-building campaigns can be some food for thoughts to shape new strategies

Semantic IoT Solutions - A Developer Perspective

Semantic technologies have recently gained significant support in a number of communities, in particular the IoT community. An important problem to be solved is that, on the one hand, it is clear that the value of IoT increases significantly with the availability of information from a wide variety of domains. On the other hand, existing solutions target specific applications or application domains and there is no easy way of sharing information between the resulting silos. Thus, a solution is needed to enable interoperability across information silos. As there is a huge heterogeneity regarding IoT technologies on the lower levels, the semantic level is seen as a promising approach for achieving interoperability (i.e. semantic interoperability) to unify IoT device description, data, bring common interaction, data exploration, etc.This work has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreements No.732240 (SynchroniCity) and No. 688467 (VICINITY); from ETSI under Specialist Task Forces 534, 556, 566 and 578. This work is partially funded by Hazards SEES NSF Award EAR 1520870, and KHealth NIH 1 R01 HD087132-01

Towards Semantic Interoperability Standards based on Ontologies

The paper is structured as follows: Section 2 introduces semantic interoperability and its benefits; Section 3 provides industry requirements for semantic interoperability practice; Section 4 describes various initiatives for ontology-driven interoperability; Section 5 explains the various life cycles for ontology-driven interoperability; and finally, Section 6 provides recommendations on ontology-based semantic interoperability.This work has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreements No.732240 (SynchroniCity) and No. 688467 (VICINITY); from ETSI under Specialist Task Forces 534, 556, and 566. This work is partially funded by Hazards SEES NSF Award EAR 1520870, and KHealth NIH 1 R01 HD087132-01

An online tool for semantic-driven WSIS

is mainly focused on the elaboration of the water smart industrial symbiosis ontology that will permit to establish informational links between industries and processes that permit to understand the possibilities and the impacts to share resources between industries. The work performed has derived on the publication of the WSIS Ontology as the initial asset to establish a common vocabulary to understand the information and share information across industries about this potential reusability of resources (water, material, etc). The main novelty of this ontology relies on the representation of process interlink in terms of different resources. Also, it is important to highlight the interlink on the potential benefits aligned with key performance indicators (KPIS) of the nexus (related to Task 2.4) to facilitate data understanding at different levels (from micro levels to meso levels). Considering these aspects, this ontology has been constructed following an agile semantic developing methodology called SAMOD to facilitate ontology construction, documentation, and publication. Based on this methodology, the ontology has been published under the following link for their reuse and extension: https://w3id.org/def/wsis For the construction of the ontology, we used process information about the “CS#2- Nieuw Prinsenland”. Complementary to the ontology design, this information have served to the elaboration of the initial version of an online tool called “RIOTER” (Reactive Internet of Thinks). This online tool permit to explore semantic enriched datasets in regard to industrial symbiosis and help to establish strategies to determine industrial symbiosis in companies. All of these assets finally contribute to the main objective of the task in relation to link cross-domain information (water, energy, food, climate and environment) with socio-economic parameters and technology options to generate and assess the medium- and long-term performance of alternative symbiotic strategies and increase eco-efficiency and reliability. Definitely, the design and implementation of the ontology and the semantic repository contributed to the following aspects: • Support the data representation to enable circular economy and process symbiosis strategies. • Provide metadata and context-based information to interlink water management information with industrial process, material and energy industrial fluxes. • Generating open linked data related to industrial process and the process symbiosis information. • Support the construction of data models that permit to harmonize the information exchange and the production of Open APIs to explore such information. • Provide online tool to navigate and explore the information for their understanding and support to elaborate WISIS strategies

Algorítmica i Complexitat

The objectives of the course are: Knowing and applying the basic algorithmic techniques of Computer Science to solve combinatorial problems, analyzing the suitability and complexity of the proposed algorithms. Knowing, designing and efficiently utilizing the types and data structures more suitable to solve a problem. The programming language used is python with the aim of showing the basic fundamentals for the design and implementation of an efficient algorithm

Algoritmia y Complejidad

La asignatura Algoritmia y Complejidad se centra en resolver los problemas y ejercicios de programación que aparecen y permiten cumplir los objetivos de aprendizaje establecidosEl lenguaje de programación utilizados es JAVA con el objetivo de mostrar los fundamentos básicos para el diseño e implementación de un algoritmo eficiente