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Li H.,International Water Association | Mynett A.E.,UNESCO-IHE Institute for Water Education | Mynett A.E.,Technical University of Delft | Ye Q.H.,Deltares
Journal of Hydroinformatics | Year: 2012

The present paper focuses on demonstrating the capabilities of modern hydroinformatics tools in the field of environmental systems by integrating biotic and abiotic process modelling. Abiotic processes like hydrodynamic flow and transport phenomena are often formulated based on physical principles like conservation of mass, momentum and energy. These processes are adequately represented mathematically by second order partial differential equations that can be solved numerically in a variety of ways. However, in aquatic ecosystem modelling, biological/ecological processes play an important role and these processes are not always understood at the required level of detail to be captured in terms of conservation principles. In this paper two modelling approaches for biotic processes are explored for representing spatial pattern dynamics of aquatic ecosystems: (i) cellular automata (CA) and (ii) multi-agent systems (MAS) models, in combination with Delft 3D-WAQ for advanced flow and transport modelling. It is shown that CA are quite capable of capturing discrete growth phenomena like outcompeting plant species which are known to depend mainly on local effects. A MAS approach can combine nonlinearity, randomness and complexity of aquatic ecosystems, which can then be used to enhance the capabilities of available physics-based software systems like the DELFT3D software suite. © IWA Publishing 2012. Source


Li H.,International Water Association | Perez G.A.C.,Wageningen University | Perez G.A.C.,Centro del Agua para Amrica | Martinez C.A.,University of Valle | And 2 more authors.
Journal of Hydrologic Engineering | Year: 2013

This paper presents a new forecasting methodology that uses self-learning cellular automata (SLCA) for including variables that consider the spatial dynamics of the mass of precipitation in a radar forecast model. Because the meteorological conditions involve nonlinear dynamic behavior, an automatic learning model is used to aid the cellular automata rules (SLCA). The new methodology is applied to the western part of England (Brue river basin) using NIMROD data. The radar information from 1 month of hourly radar measurements is used. Two models, a regression model tree (MT) and an artificial neural network (ANN) model, are used to learn the dynamics of the spatially local effects within the cellular automation (CA) neighboring areas. A spatial correlation (tracking pattern) reference model is built for comparing the first hour of precipitation forecast. Model results show that the SLCA is more accurate than conventional tracking. Furthermore, it appears that this technique can be extended to include other important atmospheric variables in forecasting processes. © 2013 American Society of Civil Engineers. Source


Luthi C.,Eawag Sandec | Parkinson I.,International Water Association
The Future of Water, Sanitation and Hygiene in Low-Income Countries: Innovation, Adaptation and Engagement in a Changing World - Proceedings of the 35th WEDC International Conference | Year: 2011

This paper presents recent developments in environmental sanitation planning for cities of the global South by presenting two approaches that provide a combined response for dealing with the complexity of sanitation problems in unserved urban areas. Both approaches presented; the revamped HCES guidelines (now referred to as Community-led Urban Environmental Sanitation CLUES) and the Sanitation 2] framework are process-oriented approaches that aim to address socio-economic and spatial diversity and seek to overcome the limitations of blueprint approaches characterised by 'one-sizefits-all' interventions. The paper highlights the fact that both approaches require close consideration of the 'domain interface' which allows for the linking of localised community solutions and city-wide interventions. Source


Richaud B.,DHI | Jessen O.Z.,DHI | Cross K.,International Water Association
Drought: Research and Science-Policy Interfacing - Proceedings of the International Conference on Drought: Research and Science-Policy Interfacing | Year: 2015

There is a growing sense of urgency to build resilience towards droughts as an integral part of managing water resources among countries, basin organizations and other end users such as irrigation authorities, industries and utilities in transboundary contexts. A generic decision support system integrating flood and drought management tools is developed in the context of this project with the objective to support planning activities at transboundary and local scale. The aim of the project is to ensure that water planning at both a basin and a local level, specifically with urban water utilities, addresses drought issues, resulting in solutions that are robust and resilient in planning and mitigating drought impacts. The project is a global initiative funded by the Global Environmental Facility (GEF), and three pilot basins have been identified for development and testing of the methodology prior to promotion and application in other basins. © 2015 Taylor & Francis Group, London, UK. Source


Grant
Agency: Cordis | Branch: H2020 | Program: CSA | Phase: WATER-4a-2014 | Award Amount: 1.02M | Year: 2015

The role of ICT in contributing to the Smart Technologies EIP Priority is widely recognised by the scientific community and water business professionals. Despite relevant progress and innovation achieved in this field, several barriers hinder the implementation of Smart Water Technologies such as the fragmentation of the sector, slow adoption, absence of SME development, and no holistic vision of water supply considering its whole life cycle. Moreover, at present a fully integrated Smart Water Network does not exist in Europe or globally. Hence, current lack of knowledge of EU water research and innovation results on industry, policy makers, and citizens is slowing down the widespread application of solutions that can leverage the development of the urban systems and infrastructures of tomorrow. This scenario shows that achieving water-related challenges cannot progress with the sole contribution of research. In this sense, the project has the vision of establishing and supporting a thriving, interconnected ICT for water community to promote the dissemination and exploitation of EU funded activities and results in this area. WIDEST will address its goals through a project-to-project approach and the coordination among relevant stakeholders by means of five objectives that will include, amongst others: Conducting literature reviews of relevant academic and commercial references; Establishing common frameworks such as standards, guidelines, website, video channel; Organizing events including conferences, workshops, special sessions; Producing three Topical Roadmaps and one Overall Roadmap; Producing a Portfolio of effective ICT for water management technologies including the methodology to build, update and execute it. The project is backed by a strong consortium composed by institutions with proven track record and expertise across different facets of ICT for water research, including established connections with key stakeholders.

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