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A Quantitative Analysis of Light Pollution in Gurgaon and a Deepened Understanding of its Impacts

A Quantitative Analysis of Light Pollution in Gurgaon and a Deepened Understanding of its Impacts

This is a Preprint and has not been peer reviewed. This is version 1 of this Preprint.

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Authors

Suhani Gupta, Sudhi Vashistha, Shailja Gauniyal, Tanishka Rajesh Arora, Idha Nehra

Abstract

Light pollution is an emerging environmental and health challenge in rapidly urbanizing Indian cities. This study quantifies night-sky brightness across Gurgaon using a low-cost, Arduino-based Sky Quality Meter (SQM) and integrates these measurements with perception surveys from 91 residents. A total of 62 ground-based data points were collected, revealing distinct spatial variations: highly commercial and densely populated zones recorded the brightest skies (16–17 mag/arcsec²), while peripheral and semi-rural areas such as Sultanpur National Park showed comparatively darker skies (18-19mag/arcsec²). Survey results indicated that most residents underestimate the role of artificial lighting, often attributing poor sky visibility to air pollution, although 62% reported sleep disturbances due to excessive outdoor lighting. Together, these findings highlight a mismatch between public awareness and measurable light pollution levels. The study advocates practical mitigation strategies, including shielded fixtures, adaptive lighting policies, and citizen-led monitoring. By providing localized evidence, this work contributes to the limited body of light pollution research in India and offers a foundation for community-driven initiatives and policy intervention.

DOI

https://doi.org/10.31223/X5T16G

Subjects

Environmental Indicators and Impact Assessment, Environmental Monitoring, Environmental Sciences

Keywords

light pollution, Sky Quality Meter, Urban Skyglow, Night Sky Brightness, Gurgaon

Dates

Published: 2025-09-03 23:02

Last Updated: 2025-09-03 23:02

License

CC BY Attribution 4.0 International

Additional Metadata

Data Availability (Reason not available):
Data collected is based on ground based readings in a local area by the author and is not publicly available. The data may be obtained from the authors upon request.