MITIGATION OF NOISE POLLUTION IN URBAN AREAS BY STRATEGICALLY PLANTING TREES AND SHRUBS

Shahid Ali Khan, Kainat Fatima, Saddam Hussain, Muhammad Minhal Ali, Abdul Mannan and Nasim Iqbal Butt
Additional contact information
Shahid Ali Khan: Directorate of Planning & Development, PMAS-University of Arid Agriculture, Rawalpindi 46000, Pakistan.
Kainat Fatima: Data-Driven Smart Decision Platform (DDSDP), PMAS University of Arid Agriculture Rawalpindi 46000, Pakistan.
Saddam Hussain: Department of Irrigation and Drainage, University of Agriculture Faisalabad, 38000, Pakistan.
Muhammad Minhal Ali: Department of Computer Science, University of Agriculture, Faisalabad 37000, Pakistan.
Abdul Mannan: Conservator of Forest, Punjab Forest Department, Rawalpindi 46000, Pakistan.
Nasim Iqbal Butt: Forest Department in Government of Punjab, Rawalpindi 46000, Pakistan.

Journal Clean WAS (JCleanWAS), 2023, vol. 7, issue 1, 41-47

Abstract: Noise is universally recognized as a significant source of environmental degradation in every culture. This paper provides an assessment of the literature on the detrimental impacts of noise pollution on the well-being of individuals. There is an introduction providing a broad definition of noise, followed by a discussion of the effect of noise pollution, the harmful consequences of noise on human health, and the techniques used to reduce noise pollution. In conclusion, this article reviews how this type of pollution can be mitigated and refers to vegetation’s aesthetic, ecological, and other benefits beyond its noise-blocking properties. The results of this research are significant on a personal and societal level in light of the detrimental impacts of noise pollution, and they may be helpful as a guide for planning in locations where such consequences are likely to materialize.

Keywords: Noise pollution; Traffic noise; environmental hazard; Plantation. (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:zib:jclnws:v:7:y:2023:i:1:p:41-47

DOI: 10.26480/jcleanwas.01.2023.41.47

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