Using Data Visualization Technology to Improve the Effectiveness of Township Environmental Management

Authors

  • Ivan Liu Southern United Academy of Sciences Limited

DOI:

https://doi.org/10.5281/zenodo.13884870

ARK:

https://n2t.net/ark:/40704/AJNS.v1n1a04

References:

6

Keywords:

Data Visualization, Township Environmental Management, Environmental Monitoring, Decision Support, Visualization Tools

Abstract

This study discusses the application of data visualization technology in improving the effectiveness of township environmental management. Through literature review, actual case analysis and experimental verification, the important role of data visualization technology in environmental monitoring, data analysis and decision support is revealed. The results show that data visualization technology can not only improve the accuracy and comprehensibility of environmental data, but also enhance the scientificity and transparency of environmental management decisions and improve emergency response capabilities. This paper first introduces the research background and significance, and then reviews the development history of data visualization technology and its current application in environmental management. Then, the specific application of data visualization technology in township environmental management is analyzed in detail, including data collection and processing, the selection of visualization tools and technologies, and actual application cases. Finally, through experiments and result analysis, the application effect of data visualization technology is evaluated, and future research directions are proposed.

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Author Biography

Ivan Liu, Southern United Academy of Sciences Limited

Southern United Academy of Sciences Limited, Hong Kong, China.

References

Bernhardsen, T. (2002). Geographic information systems: an introduction. John Wiley & Sons.

Grant, R. (2018). Data visualization: Charts, maps, and interactive graphics. Chapman and Hall/CRC.

Nayyar, A., Mahapatra, B., Le, D., & Suseendran, G. (2018). Virtual Reality (VR) & Augmented Reality (AR) technologies for tourism and hospitality industry. International journal of engineering & technology, 7(2.21), 156-160.

Mugabo, C. (2011). Ambient air quality in a low income urban area on the South African Highveld: A case study of Leandra Township (Doctoral dissertation).

Kamanula, J. F., Zambasa, O. J., & Masamba, W. R. (2014). Quality of drinking water and cholera prevalence in Ndirande Township, City of Blantyre, Malawi. Physics and Chemistry of the Earth, Parts A/B/C, 72, 61-67.

Murthy, V. K., Majumder, A. K., Khanal, S. N., & Subedi, D. P. (2007). Assessment of traffic noise pollution in Banepa, a semi urban town of Nepal. Kathmandu University journal of science, engineering and technology, 3(2), 12-20.

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Published

2024-10-10

How to Cite

Liu, I. (2024). Using Data Visualization Technology to Improve the Effectiveness of Township Environmental Management. Academic Journal of Natural Science , 1(1), 16–19. https://doi.org/10.5281/zenodo.13884870

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Articles

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