Modeling Urban Sewers with Artificial Fractal Geometries

Jeffers, Scott Martin; Montalto, Franco

doi:10.14796/jwmm.c455

Cited by 4 publications

(4 citation statements)

References 11 publications

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“…Morphometric descriptors have been integrated into some hydrological models used on natural catchment (Jeffers & Montalto, 2018), but very few applications have been carried out in urban areas. For example, Biswal and Marani (2010) and Biswal and Kumar (2013) studied the link between morphometric descriptors and key recession curves properties through a conceptual geomorphological recession flow model.…”

Section: Discussionmentioning

confidence: 99%

Morphometric properties, scaling laws and hydrologic response of the Greater Paris combined sewer system

Achour,

Chahinian,

Chancibault

et al. 2023

Hydrological Processes

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Morphometric properties of channel networks are useful tools to classify catchments and calculate their hydrological response. Scaling laws have been established for Optimal Channel Networks (OCNs), which are defined based on a generative geomorphological mechanism of minimizing the total energy dissipation. However, sewer networks obey engineering efficiency rules and are conceived based on local optimizations, both in time and space, for minimal costs. Not all the scaling laws have been verified for artificial sewer networks found in urban areas. This raises questions regarding the applicability of OCN scaling laws to sewer networks and their potential impact on the shape of the Geomorphological Instantaneous Unit Hydrograph (GIUH). Hence, this work aims to study the morphometric properties of the Greater Paris combined sewer system through a case study on twelve nested subcatchments. A two‐step methodology is used. First, the morphometric properties are analysed using the reference Horton‐Strahler, Rodríguez‐Iturbe and Moussa‐Bocquillon scaling laws. The results show that Horton‐Strahler's laws of bifurcation are verified while the length and area laws are not always verified. Rodriguez‐Iturbe and Moussa‐Bocquillon laws are verified with slightly different values of the descriptors in comparison to OCNs. Second, these morphometric properties are used to calculate four GIUHs: the reference Width Function (GWF), the Nash unit hydrograph (GN) using Horton‐Strahler ratios, the Nash Unit Hydrograph equivalent (GNe) using Moussa‐Bocquillon descriptors, and the Hayami function (GH) solution of the diffusive wave equation. We identified four catchments for which the scaling laws are verified and therefore all GIUHs are similar while for four other catchments the scaling laws are not verified and strongly impact the GIUHs. These morphometric descriptors and the GIUHs can be considered as ‘hydrological signatures’ of Combined Sewer Systems (CSSs) and are useful for the comparison and classification of hydrological responses.

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Section: Discussionmentioning

confidence: 99%

Morphometric properties, scaling laws and hydrologic response of the Greater Paris combined sewer system

Achour,

Chahinian,

Chancibault

et al. 2023

Hydrological Processes

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“…They used standard elevation processing techniques for natural drainage. However, sewer pipes do not always follow the ground slope direction, especially for relatively flat terrain (Jankowfsky et al., 2013; Kayembe & Mitchell, 2018; Parece & Campbell, 2015). The sewer pipes might be placed in the opposite direction because it may be advantageous to do so for the overall excavation volume.…”

Section: Sewer‐specific Methodologymentioning

confidence: 99%

“…Some have developed systematic procedures for generating synthetic/virtual networks. These include generators for electric power networks (Aksoy et al, 2019;Birchfield et al, 2017), sewer networks (Jeffers & Montalto, 2018;Urich et al, 2010), potable water networks (Möderl et al, 2011), and natural gas networks (Vaccariello et al, 2020). Sometimes, synthetic generators have been used to anonymize network information for security purposes (Aksoy et al, 2019;Birchfield et al, 2017;Vaccariello et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Generating network representations of small‐scale infrastructure using generally available data

Dunton,

Gardoni

2023

Computer aided Civil Eng

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Risk analysis (including resilience analysis) of infrastructure requires models that describe the connection of components and subsequent flow dynamics. However, the detailed information needed to define these models may not be available, especially for small‐scale infrastructure that connect to every building. In this paper, we generate location‐specific small‐scale networks using detailed data that should always be available. We propose a general framework where we generate the network topology, we estimate the resource demand at each building, and we design the network components to meet the demands. This general framework is applicable to all types of infrastructure, but many procedures are specific to the type of network being generated. This paper develops the necessary procedures to generate sewer networks and illustrates the usage for an example network in a small study area in Seaside, Oregon. The proposed sewer network generator produces realistic sewer networks as compared to the real network of Seaside.

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“…While the location of pipes and its variability in the plan are described by means of the network topology methods, it is difficult to analytically describe the spatial differentiation of land and its use. The analyses performed for small urban catchments and thus small sewerage networks indicate that the location of measurement devices can be optimized using fractal geometry methods [181,182]. However, a question as to whether Stachler's laws-used for rivers-should be implemented in the description of the sewerage network arises in the case of these objects [183].…”

Section: Calibration Datamentioning

confidence: 99%

Development of Rainfall-Runoff Models for Sustainable Stormwater Management in Urbanized Catchments

Szeląg

Łagód

Musz-Pomorska

et al. 2022

Water

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Modelling of stormwater networks and the related object (combined sewer overflows, diversion chambers, retention tanks) is a complex task requiring colleting of data with appropriate time and spatial resolution as well as application of adequate models. Often there is a need to find balance between the costs of conducting measurement (period, resolution) and the uncertainty of the model results. This paper presents an overview of simulation tools for sewerage networks modelling, related objects, as well as low-impact development (LID) systems in relation to the hydrodynamic and statistical models. Consecutive stages of data collection, sources of data uncertainty, limitations resulting from the adopted measurement methodology, as well as their influence on the simulation results and possible decision-making using the developed hydrodynamic or statistical model, are discussed. Attention is drawn to the optimization methods enabling reduction in the uncertainty of statistical models. The methods enabling the analysis of model uncertainty, as well as evaluation of its influence on the calculation results pertaining to stormwater hydrographs, retention tank capacity and combined sewers overflows, are also discussed. This is a very important aspect in terms of optimizing construction works in the sewerage network and designing their appropriate dimensions to achieve the assumed hydraulic effects.

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Modeling Urban Sewers with Artificial Fractal Geometries

Cited by 4 publications

References 11 publications

Morphometric properties, scaling laws and hydrologic response of the Greater Paris combined sewer system

Morphometric properties, scaling laws and hydrologic response of the Greater Paris combined sewer system

Generating network representations of small‐scale infrastructure using generally available data

Development of Rainfall-Runoff Models for Sustainable Stormwater Management in Urbanized Catchments

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