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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM22571

Dispersion analysis of Particulate Matter for Sustainable campus

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM22571

Volume:

7 |

6 |

Jun 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

AT

Ashmitha T

GA

Gandhimathi A

PS

Prasanth S

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Abstract

Atmospheric pollution has increased in higher concentration in day-to-day life. Many sources of pollution cause heavy damage to human beings, monuments, and other living and non-living organisms. The pollutant dispersion varies as spatial, temporal, and spatiotemporal variation. The study was done in Kumaraguru College of Technology (11.079458oN & 76.989494oE), as it is known as a sustainable campus in Coimbatore city. The campus is covered with 4200 trees with an average of 10,000 students, working and non-working staff. Four locations (Main gate, Security office, Bus parking, Girl’s hostel) were spotted, for analyzing PM10 on the campus using a respirable dust sampler. Collection of data and tabulating data from different locations on campus, a map to understand the dispersion of PM10 was created. Spatio-temporal interpolation using QGIS open software and the IDW (Inverse Distance Weighted) method was used. The study concluded that there is some variation in dispersion levels inside the sustainable campus. Comparison of results with TNPCB air quality standards. The contours for dispersion analysis done after interpolation mapping. This variation is noted by interpolation and contour mapping study using QGIS.

KEYWORDS

Sustainable campus respirable dust sampler QGIS spatial interpolation

Cite This Article

Ashmitha T, Gandhimathi A, Prasanth S, "Dispersion analysis of Particulate Matter for Sustainable campus," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 6, Jun 2023. https://doi.org/10.55041/IJSREM22571

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Publication Date

6/5/2023

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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