Proceedings of the International Conference on Intelligent Systems for a Sustainable Future (ISSF 2026)

<Previous Article In Volume
Next Article In Volume>

Towards Sustainable Ecosystems: Engineering Solutions for Monitoring and Reducing Noise and Light Pollution

Authors
G. Shyamala1, K. Lakshmi Prasanna2, Jayasri mateti3, *
1Department of Civil Engineering, SR University, Warangal, 506371, Telangana, India
2Department of Agriculture, SR University, Warangal, 506371, Telangana, India
3Center for Informetrics and Statistics, SR University, Warangal, 506371, Telangana, India
*Corresponding author. Email: jayasrimateti19@gmail.com
Corresponding Author
Jayasri mateti
Available Online 16 June 2026.
DOI
10.2991/978-94-6239-693-7_45How to use a DOI?
Keywords
Noise Pollution; Light Pollution; Scientometric Analysis; Environmental Sustainability; Smart Cities
Abstract

Light and noise pollution are now recognized as major environmental issues, which put human health, biodiversity, and the sustainability of urban areas at risk. Combined scientometric study that synthesizes the two areas is still rare, despite the increased volume of research. This paper maps trends in noise and light pollution research between 2020–2025 using Scopus database searches. Analysis of bibliometric indicators including publication growth, citations, author productivity, collaboration networks, and keyword co-occurrence was conducted using Biblioshiny, VOSviewer, and CitedSpace. The study analyzed 2,268 documents from 535 sources, with 7,915 authors and 17,843 references, averaging 8.027 citations per article. Results showed interdisciplinary connections across environmental science, acoustics, computing and urban studies, with China, USA, and European countries as leaders, while India and Malaysia showed increased collaboration. Thematic development pointed to a change in exposure and measurement of noise to IoT-based smart city applications and sustainable city planning. These results are of great importance to researchers, policymakers, and planners because they offer recommendations on the future research, evidence-based policies, and sustainable ecosystem management.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the International Conference on Intelligent Systems for a Sustainable Future (ISSF 2026)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
16 June 2026
ISBN
978-94-6239-693-7
ISSN
2589-4919
DOI
10.2991/978-94-6239-693-7_45How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - G. Shyamala
AU  - K. Lakshmi Prasanna
AU  - Jayasri mateti
PY  - 2026
DA  - 2026/06/16
TI  - Towards Sustainable Ecosystems: Engineering Solutions for Monitoring and Reducing Noise and Light Pollution
BT  - Proceedings of the International Conference on Intelligent Systems for a Sustainable Future (ISSF 2026)
PB  - Atlantis Press
SP  - 459
EP  - 471
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6239-693-7_45
DO  - 10.2991/978-94-6239-693-7_45
ID  - Shyamala2026
ER  -