Automatic generation of water distribution systems based on GIS data

Sitzenfrei, Robert; Möderl, M.; Rauch, Wolfgang

doi:10.1016/j.envsoft.2013.05.006

Cited by 50 publications

(28 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The earlier methods for synthetic network generation involved manually creating realistic networks based on real data. Sitzenfrei [38] developed a software package DynaVIBe-Web that automated the generation of synthetic WDS networks. The generator used street networks, GIS data and real data from more than one network.…”

Section: Domain Specific Planar Network Generationmentioning

confidence: 99%

Multiscale planar graph generation

2019

View full text Add to dashboard Cite

A network is a representation of a set of entities and the relationships between them. The network paradigm is often used to represent physical, biological, engineered and social systems [1]. Networks can help us better understand the structural and functional dynamics of these systems and formulate predictive models. However, collecting real-world network data often requires time and can be expensive. Also, for many applications, the sensitivity of real-world data towards theft and misuse further adds to the cost of protection and security of the data, which sharply limits its availability.The problem of data scarcity can be tackled by using synthetic data which can mimic both the properties and diversity of real world networks. Such synthetic data can be used for simulations, analysis, and performance/quality verification of algorithms -a crucial task in algorithm engineering. Synthetic network generation is one of the most important fields in network science from both theoretical and practical perspectives. We refer the reader for an in-depth discussion to recent reviews in [2,3].

show abstract

Section: Domain Specific Planar Network Generationmentioning

confidence: 99%

Multiscale planar graph generation

2019

View full text Add to dashboard Cite

show abstract

“…With this approach, predefined building blocks with a graph-based representation can be used to construct entire water distribution models. These can be entirely virtual with no additional input data needed or semi-virtual, where the information of the supplied area, land use, topography and water demand is included in the model creation [32,33]. Models can be generated with different topological characteristics (e.g., looped/branched layout of the WDS or level of detail in the model) to investigate the impacts of those characteristics on hydraulic or water quality performance.…”

Section: A Case Independent Approach-network Structure Variationsmentioning

confidence: 99%

Impact of Hybrid Water Supply on the Centralised Water System

Sitzenfrei

Zischg

Sitzmann

et al. 2017

Water

Self Cite

View full text Add to dashboard Cite

Traditional (technical) concepts to ensure a reliable water supply, a safe handling of wastewater and flood protection are increasingly criticised as outdated and unsustainable. These so-called centralised urban water systems are further maladapted to upcoming challenges because of their long lifespan in combination with their short-sighted planning and design. A combination of (existing) centralised and decentralised infrastructure is expected to be more reliable and sustainable. However, the impact of increasing implementation of decentralised technologies on the local technical performance in sewer or water supply networks and the interaction with the urban form has rarely been addressed in the literature. In this work, an approach which couples the UrbanBEATS model for the planning of decentralised strategies together with a water supply modelling approach is developed and applied to a demonstration case. With this novel approach, critical but also favourable areas for such implementations can be identified. For example, low density areas, which have high potential for rainwater harvesting, can result in local water quality problems in the supply network when further reducing usually low pipe velocities in these areas. On the contrary, in high demand areas (e.g., high density urban forms) there is less effect of rainwater harvesting due to the limited available space. In these high density areas, water efficiency measures result in the highest savings in water volume, but do not cause significant problems in the technical performance of the potable water supply network. For a more generalised and case-independent conclusion, further analyses are performed for semi-virtual benchmark networks to answer the question of an appropriate representation of the water distribution system in a computational model for such an analysis. Inappropriate hydraulic model assumptions and characteristics were identified for the stated problem, which have more impact on the assessments than the decentralised measures.

show abstract

“…This model creates virtual urban environments that include digital models, water bodies, land use, and urban infrastructure (e.g., sewage and drinking-water distribution systems) [123,124,130,131]. This model follows a stochastic approach, using multiple layers of cellular automata [118].…”

Section: Description Of Models Of Uwc Processesmentioning

confidence: 99%

Urban Water Cycle Simulation/Management Models: A Review

Peña-Guzmán

Melgarejo

Prats

et al. 2017

Water

View full text Add to dashboard Cite

Urban water management is increasingly important given the need to maintain water resources that comply with global and local standards of quantity and quality. The effective management of water resources requires the optimization of financial resources without forsaking social requirements. A number of mathematical models have been developed for this task; such models account for all components of the Urban Water Cycle (UWC) and their interactions. The wide range of models entails the need to understand their differences in an effort to identify their applicability, so academic, state, and private sectors can employ them for environmental, economic, and social ends. This article presents a description of the UWC and relevant components, a literature review of different models developed between 1990 and 2015, and an analysis of several case studies (applications). It was found that most applications are focused on new supply sources, mainly rainwater. In brief, this article provides an overview of each model's use (primarily within academia) and potential use as a decision-making tool.Keywords: urban water cycle; integrated management of urban water; computational models

show abstract

Automatic generation of water distribution systems based on GIS data

Cited by 50 publications

References 38 publications

Multiscale planar graph generation

Multiscale planar graph generation

Impact of Hybrid Water Supply on the Centralised Water System

Urban Water Cycle Simulation/Management Models: A Review

Contact Info

Product

Resources

About