Data · dataset · 2024
Evaluating the Impact of Anti-Smog Machines in Controlling Air Pollution in the Delhi Region
Listed in Teesside University Research Data Repository
This report examines the impact of deploying 200 anti-smog machines in Delhi to mitigate air pollution levels, specifically focusing on PM₂.₅ and PM₁₀ concentrations from November 1 to November 4, 2024.
Description
Through a comparative analysis of air quality data before and after the intervention, the study identifies significant reductions in particulate matter, highlighting the efficacy of immediate measures against acute pollution events.
However, it also emphasizes the need for long-term strategies to sustain air quality improvements. The report recommends continuous monitoring, regulatory measures, public awareness campaigns, investment in sustainable infrastructure, and support for research and development in pollution control technologies. By integrating these approaches, the study aims to contribute to the formulation of effective air quality management policies that address both immediate and long-term challenges faced by urban environments like Delhi.
Links
Where it is published
- DOI doi.org/10.17632/9n4t3tjfdf.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Medicine & Health · Social Science
- Inferred from text
- Air pollution modelling and control 77%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/9n4t3tjfdf.1 | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].anzsrc:field:401101 | enrichment · researchdata tees ac uk | taxonomy-embedding@1.0.0 | title+keywords+description (77%) |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |