GIS Mapping of Short-Term Noisy Event of Diwali Night in Lucknow City
Bibliographic Data
| ID | 22034345 |
|---|---|
| Authors | Rakesh Dubey (0000-0001-8885-5078, Rajiv Gandhi Institute of Petroleum Technology), Shruti Bharadwaj (0000-0003-4148-2520, Rajiv Gandhi Institute of Petroleum Technology), Md Iltaf Zafar (0009-0000-3873-1552, Rajiv Gandhi Institute of Petroleum Technology), Vanshu Mahajan (Rajiv Gandhi Institute of Petroleum Technology), Anubhava Srivastava (0000-0003-2227-6158, Rajiv Gandhi Institute of Petroleum Technology), Susham Biswas (0000-0002-1056-4980, Rajiv Gandhi Institute of Petroleum Technology, corresponding author) |
| Year | 2021 |
| Volume | 11 |
| Issue | 1 |
| Pages | 25 |
| Publication date | 2021-12-30 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ISPRS International Journal of Geo-Information (JOURNAL) |
| Journal identifiers | ISSN: 2220-9964 • E-ISSN: 2220-9964 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/ijgi11010025 |
| OpenAlex | W4205996192 |
| Language | EN |
| Citations received | 1 |
| References cited | 25 |
Noise is a universal problem that is particularly prominent in developing nations like India. Short-term noise-sensitive events like New Year’s Eve, derby matches, DJ night, Diwali night (celebration with firecracker) in India, etc. create lots of noise in a short period. There is a need to come up with a system that can predict the noise level for an area for a short period indicating its detailed variations. GIS (Geographic Information System)-based google maps for terrain data and crowd-sourced or indirect collection of noise data can overcome this challenge to a great extent. Authors have tried to map the highly noisy Diwali night for Lucknow, a northern city of India. The mapping was done by collecting the data from 100 points using the noise capture app (30% were close to the source and 70% were away from the source (receiver). Noise data were predicted for 750 data points using the modeling interpolation technique. A noise map is generated for this Diwali night using the crowd-sourcing technique for Diwali night. The results were also varied with 50 test points and are found to be within ±4.4 dB. Further, a noise map is also developed for the same site using indirect data of noise produced from the air pollution open-sourced data. The produced noise map is also verified with 50 test points and found to be ±6.2 dB. The results are also corroborated with the health assessment survey report of the residents of nearby areas
Cartography · Data collection · Geography · Noise pollution · Noise reduction · Statistics · Terrain · Acoustic Wave Phenomena Research · Computer Science · Environmental Science · Hearing Loss and Rehabilitation · Mathematics · Noise Effects and Management · Artificial Intelligence
| Citations per year | 0.5 |
|---|---|
| Citation span | 2024 - 2024 (1) |
| Highly cited | No |