Demand Allocation in Water Distribution Network Modelling – A GIS-Based Approach Using Voronoi Diagrams with Constraints

Guth, Nicolai; Klingel, Philipp

doi:10.5772/50014

Cited by 10 publications

(6 citation statements)

References 9 publications

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“…As Guth and Klingel have stated, it is possible to achieve high accuracy of demand distribution in a model with the use of Voronoi polygons [27]. However, one cannot forget to apply the proper model complexity before applying this method; even if it is possible to accurately localize each demand to proper node differences surfacing in simulation results [28,29], simulation results can vary up to 100% and possibly more due to the difference in model structure and graph density.…”

Section: Discussionmentioning

confidence: 99%

Influence of Hydraulic Model Complexity on Results of Water Age and Quality Simulation in Municipal Water Supply Systems

Zajkowski

Kruszyński²,

Bartkowska³

et al. 2022

Sustainability

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The age of water in the municipal water supply system is one of the main factors influencing water quality. To create a good quality hydraulic model, one must achieve a high level of calibration accuracy with real life measurement data. Before we start building our model, we must decide on the model’s level of detail, that is, its complexity. We must know if skeletonization of the network graph and different hydraulic timesteps have an influence on simulation results. This study strives to prove that this decision can lead to unforeseen problems during the calibration process, thus making it impossible to achieve the required calibration precision. In order to prove this, two different model variants were created with different levels of graph detail, and simulation data results were used to determine which model variant is best suited to achieve the highest fidelity simulation results. Following this, the chosen model was run with different hydraulic timestep settings, which made it possible to showcase the large influence this setting has on achieved results.

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Section: Discussionmentioning

confidence: 99%

Influence of Hydraulic Model Complexity on Results of Water Age and Quality Simulation in Municipal Water Supply Systems

Zajkowski

Kruszyński²,

Bartkowska³

et al. 2022

Sustainability

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show abstract

“…Penentuan batas daerah tangkapan air secara wajar dan akurat sangat penting untuk meningkatkan manajemen dan prediksi bencana genangan air perkotaan. Metode pembagian daerah aliran sungai dapat dipisahkan menjadi dua kategori utama: metode hidrologi berbasis model elevasi digital (DEM) dan metode geometrik berbasis node [9].…”

Section: Digital Elevation Model (Dem)unclassified

Pendugaan Debit Puncak Pada Sub-Das Kuranji

Zainal,

Zufrimar,

Warman

et al. 2023

SGTk

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Penelitian ini bertujuan untuk menggambarkan peta sub-DAS Kuranji dengan menganalisa data DEMNAS pada perangkat Arc GIS, mendeskripsikan karakteristik curah hujan dan debit puncak dengan metode Rational pada setiap sub DAS. Hasil penelitian adalah pada DAS Kuranji terdapat 10 (sepuluh) sub DAS Kuranji, yaitu sub DAS Batang Padang Karuah, Batang Padang Janiah Hulu, Batang Padang Janiah, Batang Limau Manis, Batang Kuranji, Batang Sapih, Batang Aie Lareh, Batang Malvinas, Ulak Karang Utara dan Air Tawar. Sub DAS Padang Karuah merupakan sub DAS terluas pada DAS Kuranji, yaitu 47.88 km2, sedangkan sub DAS Malvinas merupakan sub DAS terkecil, yatitu 3.91 km2. Berdasarkan peta hasil penelitian, sungai Batang Balimbing, Batang Lurus dan Batang Maransi melewati Sub BAS Batang Aie Lareh dan memberikan kontribusi debit ekstrem pada kawasan DAS Kuranji tersebut.

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“…Figure 1a shows the full range of the hydraulic model with all water supply connections, thus allowing us to almost pinpoint the accuracy of demand allocation shown in green diamonds in Figure 1b. nodes of the hydraulic model [5]. Hence, the complexity level used has a measurable impact on the location of water demands.…”

Section: Complex Modelmentioning

confidence: 99%

“…One of the popular demand allocation methods is the use of Voronoi polygons method [3,4]. They are created based on nodes of the hydraulic model [5]. Hence, the complexity level used has a measurable impact on the location of water demands.…”

Section: Introductionmentioning

confidence: 99%

Influence of Level of Detail (LOD) in Hydraulic Model Geometry with Demand Allocation by Voronoi Polygon Method on Chosen Parameters

Kruszyński

Zajkowski

2021

Innovations-Sustainability-Modernity-Openness Conference (ISMO’21)

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Deciding on the level of model complexity is one of the first decisions that has to be made before engaging in the creation of a functional hydraulic model of a municipal water supply system. There are a number of influencing factors such as time needed to simulate the network, time needed to create such model and ease of use. The aim of this work is to prove that level of detail has influence on parameters such as pressure at measurement points, spread of flow speed and flow volume at different parts of mains. The Voronoi polygon method is one of the basic demand allocation methods, which, in the event of a different number of junctions depending on model complexity, has to generate a varying number of polygons of different sizes used to aggregate the demands.

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Demand Allocation in Water Distribution Network Modelling – A GIS-Based Approach Using Voronoi Diagrams with Constraints

Cited by 10 publications

References 9 publications

Influence of Hydraulic Model Complexity on Results of Water Age and Quality Simulation in Municipal Water Supply Systems

Influence of Hydraulic Model Complexity on Results of Water Age and Quality Simulation in Municipal Water Supply Systems

Pendugaan Debit Puncak Pada Sub-Das Kuranji

Influence of Level of Detail (LOD) in Hydraulic Model Geometry with Demand Allocation by Voronoi Polygon Method on Chosen Parameters

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