VGE-CUGrid: An integrated platform for efficient configuration, computation, and visualization of MM5

Xu, Bingli; Lin, Hui; Chiu, Long S.; Tang, Sammy; Cheung, Jimmy; Hu, Yan; Zeng, Liping

doi:10.1016/j.envsoft.2010.05.013

Cited by 12 publications

(5 citation statements)

References 6 publications

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“…The evolution of VGEs has happened concurrently with the developments of computer and information technologies. The improvement of computing power, such as highperformance computation, makes it possible to rapidly calculate highly complex geographic models, thereby improving the efficiency of virtual geographic environments to simulate and analyze complex geographic processes [38]. The development of 3D engines and the improvement of visualization hardware have advanced VGEs from simple 3D to immersive 3D.…”

Section: Virtual Geographic Environments and Their Features 21 Evolut...mentioning

confidence: 99%

VGEs as a New Platform for Urban Modeling and Simulation

Lin

Chen

et al. 2022

Sustainability

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The complexity of interrelationships between urban natural environments and human environments is increasing with rapid urbanization. This brings new challenges to urban modeling and simulation in simultaneously meeting the comprehensive needs of the dual integration of data and models, multi-type visualizations, human-centered simulation, geographic collaboration, and interactions between physical and virtual spaces. We here propose virtual geographic environments (VGEs) as a new platform of urban modeling and simulation. After discussing the evolution, definition, and features of VGEs, we design a VGE framework for urban system modeling and simulation. Two typical cases are provided to illustrate how VGEs support urban modeling and simulation on different scales: VGE-based collaborative modeling and the simulation of air pollution dispersion in the Pearl River Delta (PRD) urban agglomeration, and fire emergency crowd evacuation simulation. In the future, VGEs may also play an important role in digital twin cities and urban metaverses.

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Section: Virtual Geographic Environments and Their Features 21 Evolut...mentioning

confidence: 99%

VGEs as a New Platform for Urban Modeling and Simulation

Lin

Chen

et al. 2022

Sustainability

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“…MM5 model computations are time consuming. This research uses CUGrid to provide high performance computation for MM5 and consequently improves system efficiency [5]. The mechanism of MM5 modeling and computation on CUGrid is shown as figure 2.…”

Section: Mm5 Modeling and Computation On Cugridmentioning

confidence: 99%

“…After preprocess of TERRAIN, REGRID,INTERPF, and MM5 parallelization, the job is allocated and processed on CUGrid. In this research, the computation time is decreased significantly [5]. After model computation on CUGrid, 37 TSF and 37*45 LTSF are generated.…”

Section: A Case Studymentioning

confidence: 99%

CUGrid and VGE Based Air Pollution Dispersion Simulation

Lin

Cui

et al. 2010

AMR

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Air pollution dispersion is a typical geographic process. A reasonable way to simulate air pollution dispersion is to modeling the dispersion and presents the results in a geographically referenced virtual environment. In this research, we apply the concept of virtual geographic environments (VGE), which is coined in the community of geographic information science, to facilitate air pollution dispersion by integrating MM5 and VGE. Because MM5 is computation intensive, the CUGrid is used in this research to decrease the computation time. Our research focuses on three key points, which are the platform design, MM5 integration and computation on CUGrid, and geographical visualization of air pollution dispersion in VGE. Based on the prototype system, a case of simulating air pollution dispersion in Pearl River Delta is employed to validate and test the rationality of the methodology. As shown in this case study, VGE can provide a good way to visualize air pollution dispersion and the CUGrid can decrease model computation time significantly.

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“…Furthermore vast availability of data requires effective and efficient ways to access and communicate information (De Vries 2011). Visualisation is essential for data analysis and data representation (Xu et al 2010). The aim of the present study is to implement a real-time webbased water quality monitoring deployed on Google earth based on NWQI using graphical representation that combines varying shape and colour for a straightforward interpretation of water quality status without knowing the technical aspects.…”

Section: Introductionmentioning

confidence: 99%

Web-based system for visualisation of water quality index

et al. 2020

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Data visualisation is an essential tool for effective communication and interpretation of information. Visualisation of information using images is easier compared to numerical values. Google Earth provides a platform for a practical monitoring site visualisation system. A real-time webbased water quality monitoring system was deployed on Google Earth based on National Water Quality Index of Malaysia (NWQI). The system used graphical representation through vary shape and colour for easy interpretation of water quality status. NWQI index uses; pH, dissolved oxygen, chemical oxygen demand, biochemical oxygen demand, total suspended solids and ammonical nitrogen. The use of different colour, shades of a hue and shapes for the system can motivate public to participate in environmental conservation. The colour used to represent WQI value on the map is derived from a single hue scheme of different quantities which produce varying brightness and shades. Web-based WQI index can be used to identify pollution sources based on the graphical representation of water quality trend.

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VGE-CUGrid: An integrated platform for efficient configuration, computation, and visualization of MM5

Cited by 12 publications

References 6 publications

VGEs as a New Platform for Urban Modeling and Simulation

VGEs as a New Platform for Urban Modeling and Simulation

CUGrid and VGE Based Air Pollution Dispersion Simulation

Web-based system for visualisation of water quality index

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