Monitoring Atmospheric Pollutants From Ground-based Observations

TL;DR

This paper reviews ground-based methods for monitoring atmospheric pollutants, emphasizing low-cost sensors and their role in forecasting, with a case study focused on Australia.

Contribution

It provides an overview of current techniques for pollutant forecasting using ground sensors and analyzes the influence of meteorological factors, highlighting a case study in Australia.

Findings

Ground sensors effectively monitor PM levels.

Meteorological parameters significantly affect pollutant levels.

Case study demonstrates practical application in Australia.

Abstract

Remote sensing analysts continuously monitor the amount of pollutants in the atmosphere. They are usually performed via satellite images. However, these images suffer from low temporal and low spatial resolution. Therefore, observations recorded from the ground offer us a fantastic alternative. There are low-cost sensors that continuously record the PM$_{2.5}$ and PM$_{10}$ concentration levels in the atmosphere. In this position paper, we provide an overview of the state-of-the-art techniques for pollutant forecasting. We establish the interdependence of meteorological parameters on atmospheric pollutants. Our case study in this paper is based on the island of Australia.