# Modelling and characterization of fine Particulate Matter dynamics in Bujumbura using low cost sensors

arXiv: https://arxiv.org/abs/2312.12003 · HTML: https://mlsanity.com/paper/2312.12003/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 2 of its 23 references that are in the map.
- First posted on arXiv 19 Dec 2023.

## Builds on (most cited first, 2 of 2)

- [Trend analysis and forecasting air pollution in Rwanda](https://mlsanity.com/paper/2205.10024/) (2022)
- [Modelling spatio-temporal trends of air pollution in Africa](https://mlsanity.com/paper/2208.12719/) (2022)

## Abstract (arXiv)

Air pollution is a result of multiple sources including both natural and anthropogenic activities. The rapid urbanization of the cities such as Bujumbura economic capital of Burundi, is one of these factors. The very first characterization of the spatio-temporal variability of PM2.5 in Bujumbura and the forecasting of PM2.5 concentration have been conducted in this paper using data collected during a year, from august 2022 to august 2023, by low cost sensors installed in Bujumbura city. For each commune, an hourly, daily and seasonal analysis were carried out and the results showed that the mass concentrations of PM2.5 in the three municipalities differ from one commune to another. The average hourly and annual PM2.5 concentrations exceed the World Health Organization standards. The range is between 28.3 and 35.0 microgram/m3 . In order to make prediction of PM2.5 concentration, an investigation of RNN with Long Short Term Memory (LSTM) has been undertaken.