Internet of Things (IoT) in Monitoring Air Quality in Nigeria: The Case of Center for Atmospheric Research-National Space Research and Development Agency (CAR-NASRDA)

Abstract

Two out of many advantages of IoT are cost reduction and efficiency. The Internet of Things is being used to track air quality around the world in order to provide people with free air quality data. A good example is the CAR-NASRDA situation. The data from the Centers for Atmospheric Research in Lagos, Osun, Delta, and Kebbi States, as well as the Federal Capital Territory (FCT) of Abuja, was used to monitor PM1, PM2.5, PM10, temperature, and humidity in five states in Nigeria. The data used in this study is from the NASRDA website, and it covers a period of 5–7 months. The range results are depicted as follows: Lagos - PM1 (15.98-604.09 ug/m3), PM2.5 (23.23-847.75 ug/m3), PM10 (25-753.8 ug/m3), temperature (80-109 oF), and humidity (12-77 %); Osun - PM1 (6.53-164.1 ug/m3), PM2.5 (9.1-236.6 ug/m3), PM10 (9.95-260.68 ug/m3), temperature (73.1-108.24 oF), and humidity (4.9-72 %); Delta - PM1 (8.23-273 ug/m3), PM2.5 (12.11-487.36 ug/m3), PM10 (12.96-552.51 ug/m3), temperature (74.62-109.59oF), and humidity (10.7-60.85 %); Kebbi - PM1 (0-5373.5 ug/m3), PM2.5 (ug/m3), PM10 (ug/m3), temperature (6-125 oF), and humidity (0-49 %), and FCT - PM1 (0-847.84 ug/m3), PM2.5 (0-1146.73 ug/m3), PM10 (0-831 ug/m3), temperature (66-115 oF), and humidity (2-90 %). When compared to international benchmarks, the findings are noticeably higher in this case. It has been discovered that PM values and meteorological data have a correlation (temperature and humidity). If members of sensitive groups are exposed to the PM for 24 hours, they can experience health effects. The general public is unlikely to be affected, but continuous monitoring of the areas will be needed because air quality data from monitoring centers will serve as a source of guidance for appropriate measures.