A 3D visualization framework for real-time distribution and situation forecast of atmospheric chemical pollution

Haibo Wang; Jingeng Mai; Yi Song; Chaoshi Wang; Lin Zhang; Fei Tao; Qining Wang

doi:10.1007/978-3-642-45037-2_44

A 3D visualization framework for real-time distribution and situation forecast of atmospheric chemical pollution

Haibo Wang
, Jingeng Mai
, Yi Song
, Chaoshi Wang
, Lin Zhang
, Fei Tao
, Qining Wang

Beihang University
Peking University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

The visualization system of pollutant distribution contributes to scientific decision-making in the emergency pollution affairs. In this paper, we propose a framework which supports 3D visualization for real-time distribution and situation forecast of atmospheric chemical pollution. The core of our framework is a distributed system infrastructure, which is designed for massive data storage and parallel computing. The stored data includes terrain elevation, vector maps, satellite maps, meteorological data and concentration data from gas sensors. High-performance computing generates gridded data for visualization. Web-based 3D visual applications with B/S structure support cross-platform terminal access.

Original language	English
Title of host publication	AsiaSim 2013 - 13th International Conference on Systems Simulation, Proceedings
Publisher	Springer Verlag
Pages	415-420
Number of pages	6
ISBN (Print)	9783642450365
DOIs	https://doi.org/10.1007/978-3-642-45037-2_44
State	Published - 2013
Externally published	Yes
Event	13th International Conference on Systems Simulation, AsiaSim 2013 - , Singapore Duration: 6 Nov 2013 → 8 Nov 2013

Publication series

Name	Communications in Computer and Information Science
Volume	402
ISSN (Print)	1865-0929

Conference

Conference	13th International Conference on Systems Simulation, AsiaSim 2013
Country/Territory	Singapore
Period	6/11/13 → 8/11/13

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 12 Responsible Consumption and Production

Keywords

Chemical pollution
Distributed system
Situation forecast
Visualization
Web-based

Access to Document

10.1007/978-3-642-45037-2_44

Cite this

Wang, H., Mai, J., Song, Y., Wang, C., Zhang, L., Tao, F., & Wang, Q. (2013). A 3D visualization framework for real-time distribution and situation forecast of atmospheric chemical pollution. In AsiaSim 2013 - 13th International Conference on Systems Simulation, Proceedings (pp. 415-420). (Communications in Computer and Information Science; Vol. 402). Springer Verlag. https://doi.org/10.1007/978-3-642-45037-2_44

@inproceedings{c759dd84ac704af8a85216537d978ac9,

title = "A 3D visualization framework for real-time distribution and situation forecast of atmospheric chemical pollution",

abstract = "The visualization system of pollutant distribution contributes to scientific decision-making in the emergency pollution affairs. In this paper, we propose a framework which supports 3D visualization for real-time distribution and situation forecast of atmospheric chemical pollution. The core of our framework is a distributed system infrastructure, which is designed for massive data storage and parallel computing. The stored data includes terrain elevation, vector maps, satellite maps, meteorological data and concentration data from gas sensors. High-performance computing generates gridded data for visualization. Web-based 3D visual applications with B/S structure support cross-platform terminal access.",

keywords = "Chemical pollution, Distributed system, Situation forecast, Visualization, Web-based",

author = "Haibo Wang and Jingeng Mai and Yi Song and Chaoshi Wang and Lin Zhang and Fei Tao and Qining Wang",

year = "2013",

doi = "10.1007/978-3-642-45037-2\_44",

language = "英语",

isbn = "9783642450365",

series = "Communications in Computer and Information Science",

publisher = "Springer Verlag",

pages = "415--420",

booktitle = "AsiaSim 2013 - 13th International Conference on Systems Simulation, Proceedings",

note = "13th International Conference on Systems Simulation, AsiaSim 2013 ; Conference date: 06-11-2013 Through 08-11-2013",

}

Wang, H, Mai, J, Song, Y, Wang, C, Zhang, L, Tao, F & Wang, Q 2013, A 3D visualization framework for real-time distribution and situation forecast of atmospheric chemical pollution. in AsiaSim 2013 - 13th International Conference on Systems Simulation, Proceedings. Communications in Computer and Information Science, vol. 402, Springer Verlag, pp. 415-420, 13th International Conference on Systems Simulation, AsiaSim 2013, Singapore, 6/11/13. https://doi.org/10.1007/978-3-642-45037-2_44

A 3D visualization framework for real-time distribution and situation forecast of atmospheric chemical pollution. / Wang, Haibo; Mai, Jingeng; Song, Yi et al.
AsiaSim 2013 - 13th International Conference on Systems Simulation, Proceedings. Springer Verlag, 2013. p. 415-420 (Communications in Computer and Information Science; Vol. 402).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A 3D visualization framework for real-time distribution and situation forecast of atmospheric chemical pollution

AU - Wang, Haibo

AU - Mai, Jingeng

AU - Song, Yi

AU - Wang, Chaoshi

AU - Zhang, Lin

AU - Tao, Fei

AU - Wang, Qining

PY - 2013

Y1 - 2013

N2 - The visualization system of pollutant distribution contributes to scientific decision-making in the emergency pollution affairs. In this paper, we propose a framework which supports 3D visualization for real-time distribution and situation forecast of atmospheric chemical pollution. The core of our framework is a distributed system infrastructure, which is designed for massive data storage and parallel computing. The stored data includes terrain elevation, vector maps, satellite maps, meteorological data and concentration data from gas sensors. High-performance computing generates gridded data for visualization. Web-based 3D visual applications with B/S structure support cross-platform terminal access.

AB - The visualization system of pollutant distribution contributes to scientific decision-making in the emergency pollution affairs. In this paper, we propose a framework which supports 3D visualization for real-time distribution and situation forecast of atmospheric chemical pollution. The core of our framework is a distributed system infrastructure, which is designed for massive data storage and parallel computing. The stored data includes terrain elevation, vector maps, satellite maps, meteorological data and concentration data from gas sensors. High-performance computing generates gridded data for visualization. Web-based 3D visual applications with B/S structure support cross-platform terminal access.

KW - Chemical pollution

KW - Distributed system

KW - Situation forecast

KW - Visualization

KW - Web-based

UR - https://www.scopus.com/pages/publications/84893857949

U2 - 10.1007/978-3-642-45037-2_44

DO - 10.1007/978-3-642-45037-2_44

M3 - 会议稿件

AN - SCOPUS:84893857949

SN - 9783642450365

T3 - Communications in Computer and Information Science

SP - 415

EP - 420

BT - AsiaSim 2013 - 13th International Conference on Systems Simulation, Proceedings

PB - Springer Verlag

T2 - 13th International Conference on Systems Simulation, AsiaSim 2013

Y2 - 6 November 2013 through 8 November 2013

ER -

Wang H, Mai J, Song Y, Wang C, Zhang L, Tao F et al. A 3D visualization framework for real-time distribution and situation forecast of atmospheric chemical pollution. In AsiaSim 2013 - 13th International Conference on Systems Simulation, Proceedings. Springer Verlag. 2013. p. 415-420. (Communications in Computer and Information Science). doi: 10.1007/978-3-642-45037-2_44

A 3D visualization framework for real-time distribution and situation forecast of atmospheric chemical pollution

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this