Parallel flow routing in SWMM 5

Burger, Gregor; Sitzenfrei, Robert; Kleidorfer, Manfred; Rauch, Wolfgang

doi:10.1016/j.envsoft.2013.11.002

Cited by 69 publications

(26 citation statements)

References 15 publications

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“…Particularly, the use of parallel computing has become more popular in hydrologic modeling because of its proven capability and potential [32][33][34]. Although there exists a variety of parallel computing options developed for saving computational time, most of them are too complicated for use in routine modeling practices.…”

Section: Introductionmentioning

confidence: 99%

Automatic Calibration Tool for Hydrologic Simulation Program-FORTRAN Using a Shuffled Complex Evolution Algorithm

Seong

Her

Benham

2015

Water

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Hydrologic Simulation Program-Fortran (HSPF) model calibration is typically done manually due to the lack of an automated calibration tool as well as the difficulty of balancing objective functions to be considered. This paper discusses the development and demonstration of an automated calibration tool for HSPF (HSPF-SCE). HSPF-SCE was developed using the open source software "R". The tool employs the Shuffled Complex Evolution optimization algorithm (SCE-UA) to produce a pool of qualified calibration parameter sets from which the modeler chooses a single set of calibrated parameters. Six calibration criteria specified in the Expert System for the Calibration of HSPF (HSPEXP) decision support tool were combined to develop a single, composite objective function for HSPF-SCE. The HSPF-SCE tool was demonstrated, and automated and manually calibrated model performance were compared using three Virginia watersheds, where HSPF models had been previously prepared for bacteria total daily maximum load (TMDL) development. The example applications demonstrate that HSPF-SCE can be an effective tool for calibrating HSPF.

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Section: Introductionmentioning

confidence: 99%

Automatic Calibration Tool for Hydrologic Simulation Program-FORTRAN Using a Shuffled Complex Evolution Algorithm

Seong

Her

Benham

2015

Water

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“…The SWMM model code has been parallelized in many sections to improve performance using OpenMP as described by Burger et al (2014). The parallelism introduced in SWMM is a shared memory type of parallelism (i.e., it uses a single MPI process but scales with number of cores allocated to the MPI process).…”

Section: Swmm Model Developmentmentioning

confidence: 99%

Advancing the Open Modeling Interface (OpenMI) for integrated water resources modeling

Buahin

Horsburgh

2018

Environmental Modelling & Software

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A B S T R A C TThe use of existing component-based modeling frameworks for integrated water resources modeling is currently hampered for some important use cases because they lack support for commonly used, topology-aware, spatiotemporal data structures. Additionally, existing frameworks are often accompanied by large software stacks with steep learning curves. Others lack specifications for deploying them on high performance, heterogeneous computing (HPC) infrastructure. This puts their use beyond the reach of many water resources modelers. In this paper, we describe new advances in component-based modeling using a framework called HydroCouple. This framework largely adopts the Open Modeling Interface (OpenMI) 2.0 interface definitions but demonstrates important advances for water resources modeling. HydroCouple explicitly defines standard and widely used geospatial data formats and provides interface definitions to support simulations on HPC infrastructure. In this paper, we illustrate how these advances can be used to develop efficient model components through a coupled urban stormwater modeling exercise.

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“…For modeling and hydrodynamic simulation, the software SWMM [26,27] is used. The investigations of this study are based on the variation of calibration parameters controlling the subcatchment's runoff concentrations and their imperviousness.…”

Section: Implementation and Automationmentioning

confidence: 99%

A Heuristic Method for Measurement Site Selection in Sewer Systems

Vonach

Tscheikner-Gratl

Rauch

et al. 2018

Water

Self Cite

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Although calibration of a hydrodynamic model depends on the availability of measurement data representing the system behavior, advice for the planning of necessary measurement campaigns for model calibration is scarce. This work tries to address this question of efficient measurement site selection on a network scale for the objective of calibrating a hydrodynamic model case study in Austria. For this, a model-based approach is chosen, as the method should be able to be used before measurement data is available. An existing model is assumed to represent the real system behavior. Based on this extended availability of "measurement data" in every point of the system, different approaches are established to heuristically assess the suitability of one or more pipes in combination as calibration point(s). These approaches intend to find suitable answers to the question of measurement site selection for this specific case study within a relatively short time and with a reasonable computational effort. As a result, the relevance of the spatial distribution of calibration points is highlighted. Furthermore, particular efficient calibration points are identified and further measurement sites in the underlying network are recommended.

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Parallel flow routing in SWMM 5

Cited by 69 publications

References 15 publications

Automatic Calibration Tool for Hydrologic Simulation Program-FORTRAN Using a Shuffled Complex Evolution Algorithm

Automatic Calibration Tool for Hydrologic Simulation Program-FORTRAN Using a Shuffled Complex Evolution Algorithm

Advancing the Open Modeling Interface (OpenMI) for integrated water resources modeling

A Heuristic Method for Measurement Site Selection in Sewer Systems

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