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.

翻译：空气污染是由包括自然活动和人为活动在内的多种来源共同导致的结果。布隆迪经济首都布琼布拉等城市的快速城市化正是其中关键因素之一。本文利用2022年8月至2023年8月期间布琼布拉市安装的低成本传感器采集的全年数据，首次对该市PM2.5浓度的时空变化特征进行了表征，并开展了浓度预测研究。针对每个行政区，我们分别进行了小时、日及季节尺度的分析，结果显示三个市辖区的PM2.5质量浓度存在显著差异。小时平均与年均PM2.5浓度均超过世界卫生组织标准，浓度范围介于28.3至35.0微克/立方米之间。为开展PM2.5浓度预测，本研究采用基于长短期记忆网络的循环神经网络方法进行了探索。