Scientific Results

This catalogue is obtained by conducting a systematic literature review of scientific studies and reviews related to monitoring, forecasting, and simulating the inland water cycle. The analysis maps scientific expertise across research groups and classifies findings by the type of inland water studied, application focus, and geographical scope. A gap analysis will identify missing research areas and assess their relevance to policymaking.

ID â–Č Type Year Authors Title Venue/Journal DOI Research type Water System Technical Focus Abstract Link with Projects Link with Tools Related policies ID
publications-1631 PEER REVIEWED ARTICLE 2016 Julien Savre , James Percival , Michael Herzog , Chris Pain Two-Dimensional Evaluation of ATHAM-Fluidity, a Nonhydrostatic Atmospheric Model Using Mixed Continuous/Discontinuous Finite Elements and Anisotropic Grid Optimization 10.1175/mwr-d-15-0398.1 Simulation & Modeling River Basins AbstractThis paper presents the first attempt to apply the compressible nonhydrostatic Active Tracer High-Resolution Atmospheric Model–Fluidity (ATHAM-Fluidity) solver to a series of idealized atmospheric test cases. ATHAM-Fluidity uses a hybrid finite-element discretization where pressure is solved on a continuous second-order grid while momentum and scalars are computed on a first-order discontinuous grid (also known as ). ATHAM-Fluidity operates on two- and three-dimensional unstructured meshes, using triangular or tetrahedral elements, respectively, with the possibility to employ an anisotropic mesh optimization algorithm for automatic grid refinement and coarsening during run time. The solver is evaluated using two-dimensional-only dry idealized test cases covering a wide range of atmospheric applications. The first three cases, representative of atmospheric convection, reveal the ability of ATHAM-Fluidity to accurately simulate the evolution of large-scale flow features in neutral atmospheres at rest. Grid convergence without adaptivity as well as the performances of the Hermite–Weighted Essentially Nonoscillatory (Hermite-WENO) slope limiter are discussed. These cases are also used to test the grid optimization algorithm implemented in ATHAM-Fluidity. Adaptivity can result in up to a sixfold decrease in computational time and a fivefold decrease in total element number for the same finest resolution. However, substantial discrepancies are found between the uniform and adapted grid results, thus suggesting the necessity to improve the reliability of the approach. In the last three cases, corresponding to atmospheric gravity waves with and without orography, the model ability to capture the amplitude and propagation of weak stationary waves is demonstrated. This work constitutes the first step toward the development of a new comprehensive limited area atmospheric model. 603663
publications-1632 2016 Zoran Vojinovic , Weeraya Keerakamolchai , Sutat Weesakul , Ranko Pudar , Neiler Medina , Alida Alves Combining Ecosystem Services with Cost-Benefit Analysis for Selection of Green and Grey Infrastructure for Flood Protection in a Cultural Setting 10.3390/environments4010003 Simulation & Modeling River Basins The present paper describes a methodological framework that combines ecosystem services (flood protection, education, art/culture, recreation and tourism) with economic analysis for selection of multifunctional measures for flood resilience. The framework includes active stakeholder participation and it consists of the four main components: (1) identification and valuation of ecosystem services pertinent to the project site under various mitigation scenarios, including baseline (pre-mitigation conditions); (2) evaluation of most effective flood mitigation measures through hydrodynamic simulations, and evaluation of economic viability using cost-benefit analysis; (3) selection of measures through consideration of ecosystem services, and solicitation of stakeholders’ inputs; (4) development of the conceptual landscape design. Application of the framework was demonstrated in a case study of Ayutthaya Island, Thailand. Results of our research suggest that taking a holistic perspective of ecosystem services and economic assessments, marshalled through active stakeholder participation, has the potential to achieve more ecologically sustainable and socially acceptable solutions for flood protection in areas with cultural heritage. However, there is still a considerable challenge in taking this framework to a full-scale practical implementation, and this mainly relates to the selection of indicators that can enable proper application of ecosystem services. 603663
publications-1633 PEER REVIEWED ARTICLE 2018 R. Hu , F. Fang , P. Salinas , C.C. Pain Unstructured mesh adaptivity for urban flooding modelling 10.1016/j.jhydrol.2018.02.078 Simulation & Modeling Natural Water Bodies No abstract available 603663
publications-1634 PEER REVIEWED ARTICLE 2017 D. Xiao , F. Fang , C.C. Pain , I.M. Navon Towards non-intrusive reduced order 3D free surface flow modelling 10.1016/j.oceaneng.2017.05.020 Simulation & Modeling River Basins No abstract available 603663
publications-1635 PEER REVIEWED ARTICLE 2017 Laurent Soucasse , Steven Dargaville , Andrew G Buchan , Christopher C Pain A goal-based angular adaptivity method for thermal radiation modelling in non grey media 10.1016/j.jqsrt.2017.06.015 Simulation & Modeling Uncategorized No abstract available 603663
publications-1636 PEER REVIEWED ARTICLE 2017 Z. Wang , D. Xiao , F. Fang , R. Govindan , C. C. Pain , Y. Guo Model identification of reduced order fluid dynamics systems using deep learning 10.1002/fld.4416 Simulation & Modeling Uncategorized SummaryThis paper presents a novel model reduction method: deep learning reduced order model, which is based on proper orthogonal decomposition and deep learning methods. The deep learning approach is a recent technological advancement in the field of artificial neural networks. It has the advantage of learning the nonlinear system with multiple levels of representation and predicting data. In this work, the training data are obtained from high fidelity model solutions at selected time levels. The long short‐term memory network is used to construct a set of hypersurfaces representing the reduced fluid dynamic system. The model reduction method developed here is independent of the source code of the full physical system.The reduced order model based on deep learning has been implemented within an unstructured mesh finite element fluid model. The performance of the new reduced order model is evaluated using 2 numerical examples: an ocean gyre and flow past a cylinder. These results illustrate that the CPU cost is reduced by several orders of magnitude whilst providing reasonable accuracy in predictive numerical modelling. 603663
publications-1637 PEER REVIEWED ARTICLE 2018 Linda Sorg , Neiler Medina , Daniel Feldmeyer , Arlex Sanchez , Zoran Vojinovic , Jörn Birkmann , Alessandra Marchese Capturing the multifaceted phenomena of socioeconomic vulnerability 10.1007/s11069-018-3207-1 Simulation & Modeling Uncategorized No abstract available 603663
publications-1638 PEER REVIEWED ARTICLE 2018 Alida Alves , Berry Gersonius , Arlex Sanchez , Zoran Vojinovic , Zoran Kapelan Multi-criteria Approach for Selection of Green and Grey Infrastructure to Reduce Flood Risk and Increase CO-benefits 10.1007/s11269-018-1943-3 Simulation & Modeling Uncategorized No abstract available 603663
publications-1639 2018 Alida Alves , Jose Patiño GĂłmez , Zoran Vojinovic , Arlex SĂĄnchez , Sutat Weesakul Combining Co-Benefits and Stakeholders Perceptions into Green Infrastructure Selection for Flood Risk Reduction 10.3390/environments5020029 Simulation & Modeling Uncategorized An important increase in flood risk levels is expected in future decades in many areas around the globe. In addition, the traditional approaches for flood management offer options with low sustainability. As a response, the use of non-traditional drainage measures, also called green infrastructures, has been increasingly suggested in the last years. One important reason for their increasing popularity has been the co-benefits that they offer to the environment. The development of an efficient planning for sustainable urban drainage systems is a complex process that needs the involvement of multiple stakeholders. Moreover, the measures to be adopted should be evaluated considering their potential to achieve multiple benefits related to human well-being, rather than just to flood risk management. In this work, we propose a framework for the selection of green infrastructures on the basis of a co-benefits analysis. The aim is to include the achievement of co-benefits and human well-being into decision-making for flood management, considering the stakeholders’ perceptions to define the most important benefits to be enhanced. The application of the framework presented here to a case study in Ayutthaya, Thailand, shows the importance of including different stakeholder’s opinions. In addition, it shows that decision makers should consider locally defined co-benefits as well as flood risk reduction when defining which green infrastructures to apply. 603663
publications-1640 2018 Geofrey Hilly , Zoran Vojinovic , Sutat Weesakul , Arlex Sanchez , Duc Hoang , Slobodan Djordjevic , Albert Chen , Barry Evans Methodological Framework for Analysing Cascading Effects from Flood Events: The Case of Sukhumvit Area, Bangkok, Thailand 10.3390/w10010081 Simulation & Modeling Uncategorized Impacts from floods in urban areas can be diverse and wide ranging. These can include the loss of human life, infrastructure and property damages, as well as other kinds of nuisance and inconvenience to urban life. Hence, the ability to identify and quantify wider ranging effects from floods is of the utmost importance to urban flood managers and infrastructure operators. The present work provides a contribution in this direction and describes a methodological framework for analysing cascading effects from floods that has been applied for the Sukhumvit area in Bangkok (Thailand). It demonstrates that the effects from floods can be much broader in their reach and magnitude than the sole impacts incurred from direct and immediate losses. In Sukhumvit, these include loss of critical services, assets and goods, traffic congestion and delays in transportation, loss of business and income, disturbances and discomfort to the residents, and all these can be traced with the careful analysis of cascading effects. The present work explored the use of different visualization options to present the findings. These include a casual loop diagram, a HAZUR resilience map, a tree diagram and GIS maps. 603663