2026-09-23T04:05:50Zhttps://openrepository.aut.ac.nz/server/oai/requestoai:openrepository.aut.ac.nz:10292/172822026-06-13T16:44:10Zcom_10292_3col_10292_4
AUT Research Repository
advisor
Kilby, Jeff
advisor
Sabit, Hakilo
author
Kaur, Amritpal
2024-03-01T03:09:23Z
2024-03-01T03:09:23Z
2022
http://hdl.handle.net/10292/17282
Air pollution monitoring is essential for assessing air quality and its impact on health and the environment. It involves collecting data on pollutants like particulate matter, ozone, carbon monoxide, etc. This practice includes protecting public health, ensuring environmental preservation regulatory compliance, and facilitating research and policymaking. With urbanization and industrialization contributing to increased pollution levels, monitoring becomes crucial for creating a cleaner and healthier future.
A Wireless Sensor Network (WSN) pollution monitoring system utilizing Long-Range (LoRa) technology offers valuable street-level analysis. The LoRa network was simulated and implemented for real-time monitoring in Auckland, New Zealand, for this research. Sensors for particulate matter, carbon dioxide, temperature, and humidity were placed in a strategic matrix at Auckland University of Technology's North Shore campus. Data collected was transmitted to a server via the LoRa gateway.
This research aims to provide localized data for different areas in Auckland, encouraging the Auckland Council and policymakers to make decisions regarding air pollution monitoring systems. The study highlights the health impacts of pollutants, particularly on respiratory and cardiovascular health. Empowering stakeholders with data supports informed decision-making, effective pollution control measures, and the pursuit of healthier and sustainable cities.
en
Hyperlocal Monitoring of Air Pollutants at Street-Level Using a Long-Range Wireless Sensor Network
Thesis
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URL
https://openrepository.aut.ac.nz/bitstreams/ba1fe82b-893b-4fcd-9f05-422f1b63a807/download
File
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application/pdf
KaurA.pdf
URL
https://openrepository.aut.ac.nz/bitstreams/97b9ff91-0d55-4a93-89a2-0bf15b773783/download
File
MD5
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text/plain
KaurA.pdf.txt