A GIS-based open source pre-processor for georesources numerical modeling

Berry, Paolo; Bonduà, Stefano; Bortolotti, Villiam; Cormio, Carlo; Vasini, Ester Maria

doi:10.1016/j.envsoft.2014.08.011

Cited by 20 publications

(4 citation statements)

References 8 publications

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“…Many pre-processing tools and conceptual data models have been proposed to support discretization at different research scales (e.g., watersheds, urban areas, and sub-catchments in urban areas). These pre-processing tools have different design ideas, which can be workflow and object oriented, and most of these tools are based on a procedural method to enhance the capability of discretizing urban spatial data [47] [48]. However, previous studies have not considered the main objects in urban areas independently, which seriously hinders the hydrologic simulation of complex and heterogeneous urban areas because buildings, road networks, surfaces, and ponds have different impacts on overland flow processes.…”

Section: Related Workmentioning

confidence: 99%

Key Technologies for an Urban Overland Flow Simulation System to Support What-If Analysis

Peng¹,

Lu²,

Song³

et al. 2018

JWARP

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Urban flooding poses serious threats to human life. In China, many cities have recently experienced flooding during every rainy season. Several years ago, policies, scientific methods, and engineering measures were applied to address this systematic problem. However, flooding disasters remain frequent in urban areas in China. Therefore, this article discusses the human-earth relationship from a philosophical perspective to analyse the causes of urban water problems. This article mainly illustrates the value of the what-if analysis concept and how to use this concept to address urban flooding issues and improve the management of urban overland flow. However, the existing simulation models and software do not effectively support what-if analyses. In particular, most existing urban hydrological simulation models and software do not sufficiently consider the heterogeneity of geographical objects on urban surfaces and lack interactions to support what-if analyses. These limitations hinder effective implementation of what-if analysis. This article introduces three key technologies that allow an urban overland flow simulation system to effectively support what-if analyses: 1) urban spatial automatic discretization and topo-adjacency, which reflect the heterogeneity of an urban area; 2) hydrological models for the simulation of the hydrologicalprocesses of the main geographical objects in the urban area; and 3) key strategies for a visual analytic platform to support what-if analyses in well-perceived way. The experiment was conducted using a community in Chongqing as a case study. The results demonstrate that the designed key technologies and functions of the proposed system can support what-if analysis and that what-if analysis is an important and useful concept for urban water management.

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Section: Related Workmentioning

confidence: 99%

Key Technologies for an Urban Overland Flow Simulation System to Support What-If Analysis

Peng¹,

Lu²,

Song³

et al. 2018

JWARP

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“…Figure 11a compares the temporal variation of the temperature at several elements of the first column of The program supports the construction of the rectangular computational mesh and determination of the initial and boundary conditions for the subsurface heat and liquid flow simulation. In the next version, we will demonstrate on integrating the irregular mesh making code (e.g., Berry et al, 2014) into iMatTOUGH to generate the unstructured computational mesh. We also plan to expand the initial and boundary condition processing part so that the program can process the initial and boundary conditions for different application fields (e.g., geothermal, nuclear waste, nutrient cycle and oil & gas).…”

Section: Initial Conditionsmentioning

confidence: 99%

iMatTOUGH: An open-source Matlab-based graphical user interface for pre- and post-processing of TOUGH2 and iTOUGH2 models

Tran¹,

Dafflon²,

Hubbard³

2016

Computers & Geosciences

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TOUGH2 and iTOUGH2 are powerful models that simulate the heat and fluid flows in porous and fracture media, and perform parameter estimation, sensitivity analysis and uncertainty propagation analysis. However, setting up the input files is not only tedious, but error prone, and processing output files is time consuming. In this study, we present an open source Matlab-based tool (iMatTOUGH) that supports the generation of all necessary inputs for both TOUGH2 and iTOUGH2 and visualize their outputs. The tool links the inputs of TOUGH2 and iTOUGH2, making sure the two input files are consistent. It supports the generation of rectangular computational mesh, i.e., it automatically generates the elements and connections as well as their properties as required by TOUGH2. The tool also allows the specification of initial and timedependent boundary conditions for better subsurface heat and water flow simulations. The effectiveness of the tool is illustrated by an example that uses TOUGH2 and iTOUGH2 to estimate soil hydrological and thermal properties from soil temperature data and simulate the heat and water flows at the Rifle site in Colorado.

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“…Schlumberger's Eclipse [52] and Aramco's GigaPOWERS [30]. They are also used in major hydrology simulators such as Berkeley Lab's TOUGH [10,29] and geology codes such as MODFLOW-USG developed by the USGS [48]. Therefore, being able to connect these schemes to MFD methods has important practical applications.…”

Section: Introductionmentioning

confidence: 99%

A generalized Mimetic Finite Difference method and Two-Point Flux schemes over Voronoi diagrams

2017

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We develop a generalization of the mimetic finite difference (MFD) method for second order elliptic problems that extends the family of convergent schemes to include two-point flux approximation (TPFA) methods over general Voronoi meshes, which are known to satisfy the discrete maximum principle. The method satisfies a modified consistency condition, which utilizes element and face weighting functions. This results in shifting the points on the elements and faces where the pressure and the flux are most accurately approximated. The flux bilinear form is non-symmetric in general, although it reduces to a symmetric form in the case of TPFA. It can be defined as the L 2 -inner product of vectors in two H(Ω; div) discrete spaces, which are constructed via suitable lifting operators. A specific construction of such lifting operators is presented on rectangles. We note that a different choice is made for test and trial spaces, therefore the method can be viewed as a H(Ω; div)-conforming Petrov-Galerkin Mixed Finite Element method. We prove first-order convergence in pressure and flux, and superconvergence of the pressure under further restrictions. We present numerical results that support the theory.Mathematics Subject Classification. 65M60, 65N08, 76S05.

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A GIS-based open source pre-processor for georesources numerical modeling

Cited by 20 publications

References 8 publications

Key Technologies for an Urban Overland Flow Simulation System to Support What-If Analysis

Key Technologies for an Urban Overland Flow Simulation System to Support What-If Analysis

iMatTOUGH: An open-source Matlab-based graphical user interface for pre- and post-processing of TOUGH2 and iTOUGH2 models

A generalized Mimetic Finite Difference method and Two-Point Flux schemes over Voronoi diagrams

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