The Experts below are selected from a list of 32511 Experts worldwide ranked by ideXlab platform
Holger R Maier - One of the best experts on this subject based on the ideXlab platform.
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integrated framework for assessing Urban Water Supply security of systems with non traditional sources under climate change
Environmental Modelling and Software, 2014Co-Authors: F L Paton, Graeme C Dandy, Holger R MaierAbstract:Assessing Water Supply security for Urban Water Supply system (UWSS) planning is now more challenging with the inclusion of non-traditional sources, which increases simulation complexity, and the need to account for climate change impacts, which increases uncertainty. This paper addresses this by developing an integrated framework for assessing the security of UWSSs with non-traditional sources under climate change. The framework is applied to a case study based on the southern Adelaide UWSS. The case study objectives include minimizing cost and maximizing Supply security, with the latter assessed using reliability, maximum failure duration, maximum vulnerability, and robustness. Robustness represents the performance of the UWSS across plausible future scenarios, comprising of realizations of climate change and consumer demand. Trade-offs exist between cost and Supply security for solutions that use desalination and harvested stormWater to augment Water Supply; however, use of rainWater tanks is undesirable, as they are an expensive source.
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including adaptation and mitigation responses to climate change in a multiobjective evolutionary algorithm framework for Urban Water Supply systems incorporating ghg emissions
Water Resources Research, 2014Co-Authors: F L Paton, Holger R Maier, Graeme C DandyAbstract:Cities around the world are increasingly involved in climate action and mitigating greenhouse gas (GHG) emissions. However, in the context of responding to climate pressures in the Water sector, very few studies have investigated the impacts of changing Water use on GHG emissions, even though Water resource adaptation often requires greater energy use. Consequently, reducing GHG emissions, and thus focusing on both mitigation and adaptation responses to climate change in planning and managing Urban Water Supply systems, is necessary. Furthermore, the minimization of GHG emissions is likely to conflict with other objectives. Thus, applying a multiobjective evolutionary algorithm (MOEA), which can evolve an approximation of entire trade-off (Pareto) fronts of multiple objectives in a single run, would be beneficial. Consequently, the main aim of this paper is to incorporate GHG emissions into a MOEA framework to take into consideration both adaptation and mitigation responses to climate change for a city's Water Supply system. The approach is applied to a case study based on Adelaide's southern Water Supply system to demonstrate the framework's practical management implications. Results indicate that trade-offs exist between GHG emissions and risk-based performance, as well as GHG emissions and economic cost. Solutions containing rainWater tanks are expensive, while GHG emissions greatly increase with increased desalinated Water Supply. Consequently, while desalination plants may be good adaptation options to climate change due to their climate-independence, rainWater may be a better mitigation response, albeit more expensive.
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including adaptation and mitigation responses to climate change in a multiobjective evolutionary algorithm framework for Urban Water Supply systems incorporating ghg emissions
Water Resources Research, 2014Co-Authors: F L Paton, Holger R Maier, Graeme C DandyAbstract:Cities around the world are increasingly involved in climate action and mitigating greenhouse gas (GHG) emissions. However, in the context of responding to climate pressures in the Water sector, very few studies have investigated the impacts of changing Water use on GHG emissions, even though Water resource adaptation often requires greater energy use. Consequently, reducing GHG emissions, and thus focusing on both mitigation and adaptation responses to climate change in planning and managing Urban Water Supply systems, is necessary. Furthermore, the minimization of GHG emissions is likely to conflict with other objectives. Thus, applying a multiobjective evolutionary algorithm (MOEA), which can evolve an approximation of entire trade-off (Pareto) fronts of multiple objectives in a single run, would be beneficial. Consequently, the main aim of this paper is to incorporate GHG emissions into a MOEA framework to take into consideration both adaptation and mitigation responses to climate change for a city's Water Supply system. The approach is applied to a case study based on Adelaide's southern Water Supply system to demonstrate the framework's practical management implications. Results indicate that trade-offs exist between GHG emissions and risk-based performance, as well as GHG emissions and economic cost. Solutions containing rainWater tanks are expensive, while GHG emissions greatly increase with increased desalinated Water Supply. Consequently, while desalination plants may be good adaptation options to climate change due to their climate-independence, rainWater may be a better mitigation response, albeit more expensive.
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considering sustainability in the planning and management of regional Urban Water Supply systems a case study of adelaide s southern system
2009Co-Authors: F L Paton, Holger R Maier, J Baulis, B Staniford, Graeme C DandyAbstract:Interfacing modelling and simulation with mathematical and computational sciences, 18th IMACS World Congress, MODSIM09, Cairns, Australia 13-17 July 2009 : proceedings
Graeme C Dandy - One of the best experts on this subject based on the ideXlab platform.
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integrated framework for assessing Urban Water Supply security of systems with non traditional sources under climate change
Environmental Modelling and Software, 2014Co-Authors: F L Paton, Graeme C Dandy, Holger R MaierAbstract:Assessing Water Supply security for Urban Water Supply system (UWSS) planning is now more challenging with the inclusion of non-traditional sources, which increases simulation complexity, and the need to account for climate change impacts, which increases uncertainty. This paper addresses this by developing an integrated framework for assessing the security of UWSSs with non-traditional sources under climate change. The framework is applied to a case study based on the southern Adelaide UWSS. The case study objectives include minimizing cost and maximizing Supply security, with the latter assessed using reliability, maximum failure duration, maximum vulnerability, and robustness. Robustness represents the performance of the UWSS across plausible future scenarios, comprising of realizations of climate change and consumer demand. Trade-offs exist between cost and Supply security for solutions that use desalination and harvested stormWater to augment Water Supply; however, use of rainWater tanks is undesirable, as they are an expensive source.
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including adaptation and mitigation responses to climate change in a multiobjective evolutionary algorithm framework for Urban Water Supply systems incorporating ghg emissions
Water Resources Research, 2014Co-Authors: F L Paton, Holger R Maier, Graeme C DandyAbstract:Cities around the world are increasingly involved in climate action and mitigating greenhouse gas (GHG) emissions. However, in the context of responding to climate pressures in the Water sector, very few studies have investigated the impacts of changing Water use on GHG emissions, even though Water resource adaptation often requires greater energy use. Consequently, reducing GHG emissions, and thus focusing on both mitigation and adaptation responses to climate change in planning and managing Urban Water Supply systems, is necessary. Furthermore, the minimization of GHG emissions is likely to conflict with other objectives. Thus, applying a multiobjective evolutionary algorithm (MOEA), which can evolve an approximation of entire trade-off (Pareto) fronts of multiple objectives in a single run, would be beneficial. Consequently, the main aim of this paper is to incorporate GHG emissions into a MOEA framework to take into consideration both adaptation and mitigation responses to climate change for a city's Water Supply system. The approach is applied to a case study based on Adelaide's southern Water Supply system to demonstrate the framework's practical management implications. Results indicate that trade-offs exist between GHG emissions and risk-based performance, as well as GHG emissions and economic cost. Solutions containing rainWater tanks are expensive, while GHG emissions greatly increase with increased desalinated Water Supply. Consequently, while desalination plants may be good adaptation options to climate change due to their climate-independence, rainWater may be a better mitigation response, albeit more expensive.
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including adaptation and mitigation responses to climate change in a multiobjective evolutionary algorithm framework for Urban Water Supply systems incorporating ghg emissions
Water Resources Research, 2014Co-Authors: F L Paton, Holger R Maier, Graeme C DandyAbstract:Cities around the world are increasingly involved in climate action and mitigating greenhouse gas (GHG) emissions. However, in the context of responding to climate pressures in the Water sector, very few studies have investigated the impacts of changing Water use on GHG emissions, even though Water resource adaptation often requires greater energy use. Consequently, reducing GHG emissions, and thus focusing on both mitigation and adaptation responses to climate change in planning and managing Urban Water Supply systems, is necessary. Furthermore, the minimization of GHG emissions is likely to conflict with other objectives. Thus, applying a multiobjective evolutionary algorithm (MOEA), which can evolve an approximation of entire trade-off (Pareto) fronts of multiple objectives in a single run, would be beneficial. Consequently, the main aim of this paper is to incorporate GHG emissions into a MOEA framework to take into consideration both adaptation and mitigation responses to climate change for a city's Water Supply system. The approach is applied to a case study based on Adelaide's southern Water Supply system to demonstrate the framework's practical management implications. Results indicate that trade-offs exist between GHG emissions and risk-based performance, as well as GHG emissions and economic cost. Solutions containing rainWater tanks are expensive, while GHG emissions greatly increase with increased desalinated Water Supply. Consequently, while desalination plants may be good adaptation options to climate change due to their climate-independence, rainWater may be a better mitigation response, albeit more expensive.
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considering sustainability in the planning and management of regional Urban Water Supply systems a case study of adelaide s southern system
2009Co-Authors: F L Paton, Holger R Maier, J Baulis, B Staniford, Graeme C DandyAbstract:Interfacing modelling and simulation with mathematical and computational sciences, 18th IMACS World Congress, MODSIM09, Cairns, Australia 13-17 July 2009 : proceedings
F L Paton - One of the best experts on this subject based on the ideXlab platform.
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integrated framework for assessing Urban Water Supply security of systems with non traditional sources under climate change
Environmental Modelling and Software, 2014Co-Authors: F L Paton, Graeme C Dandy, Holger R MaierAbstract:Assessing Water Supply security for Urban Water Supply system (UWSS) planning is now more challenging with the inclusion of non-traditional sources, which increases simulation complexity, and the need to account for climate change impacts, which increases uncertainty. This paper addresses this by developing an integrated framework for assessing the security of UWSSs with non-traditional sources under climate change. The framework is applied to a case study based on the southern Adelaide UWSS. The case study objectives include minimizing cost and maximizing Supply security, with the latter assessed using reliability, maximum failure duration, maximum vulnerability, and robustness. Robustness represents the performance of the UWSS across plausible future scenarios, comprising of realizations of climate change and consumer demand. Trade-offs exist between cost and Supply security for solutions that use desalination and harvested stormWater to augment Water Supply; however, use of rainWater tanks is undesirable, as they are an expensive source.
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including adaptation and mitigation responses to climate change in a multiobjective evolutionary algorithm framework for Urban Water Supply systems incorporating ghg emissions
Water Resources Research, 2014Co-Authors: F L Paton, Holger R Maier, Graeme C DandyAbstract:Cities around the world are increasingly involved in climate action and mitigating greenhouse gas (GHG) emissions. However, in the context of responding to climate pressures in the Water sector, very few studies have investigated the impacts of changing Water use on GHG emissions, even though Water resource adaptation often requires greater energy use. Consequently, reducing GHG emissions, and thus focusing on both mitigation and adaptation responses to climate change in planning and managing Urban Water Supply systems, is necessary. Furthermore, the minimization of GHG emissions is likely to conflict with other objectives. Thus, applying a multiobjective evolutionary algorithm (MOEA), which can evolve an approximation of entire trade-off (Pareto) fronts of multiple objectives in a single run, would be beneficial. Consequently, the main aim of this paper is to incorporate GHG emissions into a MOEA framework to take into consideration both adaptation and mitigation responses to climate change for a city's Water Supply system. The approach is applied to a case study based on Adelaide's southern Water Supply system to demonstrate the framework's practical management implications. Results indicate that trade-offs exist between GHG emissions and risk-based performance, as well as GHG emissions and economic cost. Solutions containing rainWater tanks are expensive, while GHG emissions greatly increase with increased desalinated Water Supply. Consequently, while desalination plants may be good adaptation options to climate change due to their climate-independence, rainWater may be a better mitigation response, albeit more expensive.
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including adaptation and mitigation responses to climate change in a multiobjective evolutionary algorithm framework for Urban Water Supply systems incorporating ghg emissions
Water Resources Research, 2014Co-Authors: F L Paton, Holger R Maier, Graeme C DandyAbstract:Cities around the world are increasingly involved in climate action and mitigating greenhouse gas (GHG) emissions. However, in the context of responding to climate pressures in the Water sector, very few studies have investigated the impacts of changing Water use on GHG emissions, even though Water resource adaptation often requires greater energy use. Consequently, reducing GHG emissions, and thus focusing on both mitigation and adaptation responses to climate change in planning and managing Urban Water Supply systems, is necessary. Furthermore, the minimization of GHG emissions is likely to conflict with other objectives. Thus, applying a multiobjective evolutionary algorithm (MOEA), which can evolve an approximation of entire trade-off (Pareto) fronts of multiple objectives in a single run, would be beneficial. Consequently, the main aim of this paper is to incorporate GHG emissions into a MOEA framework to take into consideration both adaptation and mitigation responses to climate change for a city's Water Supply system. The approach is applied to a case study based on Adelaide's southern Water Supply system to demonstrate the framework's practical management implications. Results indicate that trade-offs exist between GHG emissions and risk-based performance, as well as GHG emissions and economic cost. Solutions containing rainWater tanks are expensive, while GHG emissions greatly increase with increased desalinated Water Supply. Consequently, while desalination plants may be good adaptation options to climate change due to their climate-independence, rainWater may be a better mitigation response, albeit more expensive.
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considering sustainability in the planning and management of regional Urban Water Supply systems a case study of adelaide s southern system
2009Co-Authors: F L Paton, Holger R Maier, J Baulis, B Staniford, Graeme C DandyAbstract:Interfacing modelling and simulation with mathematical and computational sciences, 18th IMACS World Congress, MODSIM09, Cairns, Australia 13-17 July 2009 : proceedings
Hao Wang - One of the best experts on this subject based on the ideXlab platform.
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toward a sustainable cyber physical system architecture for Urban Water Supply system this work was supported by klimaforsk programme no 244147 e10 from research council of norway
Green Computing and Communications, 2020Co-Authors: Hao Wang, Razak SeiduAbstract:The growth of Urbanization has induced tremendous difficulties for fundamental resources, environment, and city management. Miscellaneous traditional infrastructures cannot keep up with the increasing requirements of residents. Among them, the Urban Water Supply system (UWSS), as the foothold of all modern life, plays a key point in sustainable city development. To address these challenges, we invited the concepts from Cyber-Physical System (CPS). CPS tangles physical and cyber spaces together on different spatial and temporal scales in order to provide a systematic solution for UWSS. In this paper, we form up a general architecture for UWSS based on CPS concepts. It maps a five-level hierarchical architecture including connection, conversion, cyber, cognition, and configuration. This architecture covers the whole UWSS process, from Water source management, treatment to the distribution networks. We designed the working mechanism considering data management, information processing, and knowledge generation and refinement. On top of this architecture, we propose a set of indices to compare and evaluate alternative UWSS by taking into account Water Supply quantity, quality, and sustainability features. For a case study, we present our experiences in a Norwegian city, named Alesund. It was admitted to the United Nations Smart City program in 2019, especially for Smart Water design. In our practice, we have deployed related sensors across the local UWSS and corresponding methods for related public services. The preliminary results have shown the feasibility and improvement of UWSS efficiency with the proposed architecture.
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smart data driven quality prediction for Urban Water source management
Future Generation Computer Systems, 2020Co-Authors: Hao Wang, Razak SeiduAbstract:Abstract A Water Supply system that integrates Water source management, treatment and distribution is a critical infrastructure in Urban areas. Traditional Water quality research mostly focused on separate aspects, lacking a comprehensive coverage of all aspects, which undermines the prediction accuracies. In this paper, we propose a smart data analysis scheme to analyze and predict the Water quality, considering all the Water quality standard indicators. Instead of data output from Water treatment, we collect the raw Water data directly from Water sources. We design two models to predict the Water quality: (1) adaptive learning rate BP neural network (ALBP) and (2) 2-step isolation and random forest (2sIRF). We applied these models in the practical Urban Water Supply systems of Oslo and Bergen in Norway. The results show that ALBP is theoretically simple and easy to implement. 2sIRF considers the risk distribution and shows higher prediction accuracy. In addition, we perform the correlation analysis of all the indicators and the importance analysis over different indicators. The domain experts have confirmed that this work is meaningful for future risk control and decision support in Urban Water Supply systems.
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agent based residential Water use behavior simulation and policy implications a case study in beijing city
Water Resources Management, 2009Co-Authors: Can Wang, Jining Chen, Hao WangAbstract:Residential Water use constitutes a major part of Urban Water demand, and has be gaining importance in the Urban Water Supply. Considering the complexity of residential Water use system, an agent-based social simulation, i.e. the Residential Water Use Model (RWUM), is developed in this paper to capture the behavioral characteristics of residential Water usage. By disaggregating total Water demands down to constituent end-uses, this model can evaluate heterogeneous consumer responses on Water, taking into account the factors of market penetration of Water-saving technologies, regulatory policies, economic development, as well as social consciousness and preferences. Also, uncertainty analysis technique is innovatively applied in this agent-based model for parameter calibration and model robust testing. According to the case study in Beijing, this model can provide insights to Water management agency in evaluating different Water usage polices, as well as estimations for potential Water saving for future infrastructure development planning.
James L Wescoat - One of the best experts on this subject based on the ideXlab platform.
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cluster analysis of Urban Water Supply and demand toward large scale comparative sustainability planning
Sustainable Cities and Society, 2016Co-Authors: Karen Noiva, John E Fernandez, James L WescoatAbstract:Abstract The sustainability of Urban Water systems is often compared in small numbers of cases selected as much for their familiarity as for their similarities and differences. Few studies examine large Urban datasets to conduct comparisons that identify unexpected similarities and differences among Urban Water systems and problems. This research analyzed a dataset of 142 cities that includes annual per capita Water use (m3/yr/cap) and population. It added a 0.5 ° grid annual Water budget value (P-PET/yr) as an index of hydroclimatic Water Supply. With these indices of Urban Water Supply and demand, we conducted a hierarchical cluster analysis to identify relative similarities among, and distances between, the 142 cases. While some expected groupings of climatically similar cities were identified, unexpected clusters were also identified, e.g., cities that use Water at greater rates than local climatic Water budgets provide. Those cities must seek Water from greater distances and greater depths. They face greater Water and wasteWater treatment costs. To become more sustainable they must increase Water use efficiency, demand management, reuse, and recycling. The significance of the population variable suggests that adding other explanatory socio-economic variables, as well as more precise Water system indices, are logical next steps for comparative analysis of Urban Water sustainability.
