Application of Drones in Pollution Mitigation through Artificial Rainfall

Authors

  • Divyanshu Maharaja Agrasen Institute of Technology, Sector 22 Rohini, Delhi
  • Ronak Khurana Maharaja Agrasen Institute of Technology, Sector 22 Rohini, Delhi
  • Ayush Thukral Maharaja Agrasen Institute of Technology, Sector 22 Rohini, Delhi
  • Atharv Gupta Maharaja Agrasen Institute of Technology, Sector 22 Rohini, Delhi
  • Yash Kumar Kanojia Maharaja Agrasen Institute of Technology, Sector 22 Rohini, Delhi

DOI:

https://doi.org/10.51976/7hhzx124

Keywords:

Aircraft, Drones, Scalable, Artificial Rainfall

Abstract

Air pollution is a critical global challenge, with urban areas experiencing hazardous levels of particulate matter and harmful gases. Artificial rainfall via cloud seeding offers a potential solution by inducing precipitation to cleanse the atmosphere. Traditional methods rely on manned aircraft to disperse agents like silver iodide or sodium chloride into clouds, stimulating rain. While effective, this approach is costly, labor-intensive, and lacks precision, making it impractical for frequent or small-scale operations, especially in budget-constrained regions. Drones present a transformative alternative for cloud seeding. Compared to aircraft, drones are cost-effective, scalable, and highly adaptable. Coordinated drone swarms can target specific urban areas, enhancing the accuracy and efficiency of agent dispersion. Their autonomous capabilities reduce the need for extensive personnel or infrastructure. By leveraging drone technology, artificial rainfall becomes a more practical, flexible, and environmentally friendly method to address air pollution

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Published

2025-03-31

Issue

Vol. 13 No. 01 (2025): Volume: 13 Issue: 1

Section

Research Article

License

Copyright (c) 2025 International Journal of Advance Research and Innovation(IJARI, 2347-3258)

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How to Cite

Divyanshu, Ronak Khurana, Ayush Thukral, Atharv Gupta, & Yash Kumar Kanojia. (2025). Application of Drones in Pollution Mitigation through Artificial Rainfall. International Journal of Advance Research and Innovation(IJARI, 2347-3258), 13(01). https://doi.org/10.51976/7hhzx124