Researchers in Morocco and India are looking at ways to use the internet of things to preserve water quality and predict air pollution events.
Air pollution is becoming a serious issue again in many cities, and studies are showing a corroboration between high pollution levels and health issues such as heart attacks, asthma, and strokes. Now, a paper published in the International Journal of Computational Intelligence Studies says the IoT may be a useful tool for predicting air pollution events and incidents. With advance notice of possible pollution issues could help cities minimize detrimental effects and give people vulnerable to pollution-related health problems advance notice so they can take steps to protect themselves.
The study was written by Safae Sossi Alaoui, Brahim Aksasse, and Yousef Farhaoui of the Department of Computer Science at Moulay Ismail University in Errachidia, Morocco. It suggests that the IoT could be used to predict rising levels of nitrogen oxides, sulfur dioxide, carbon monoxide, and ozone, the most serious polluting compounds. A variety of IoT devices and sensors could be used including smartphones, roadside air quality monitors, embedded sensors and more. The researchers have worked with a US pollution data set and Spark technology on the Databricks platform to build a model designed to make accurate predictions about air quality. It is hoped the model can eventually be used to assist in efforts to reduce, prevent and control pollution in a timely manner.
Water pollution is also a serious concern, and a team of researchers in India has written in the International Journal of Environment and Waste Management about an IoT-enabled watchdog system for water quality they created. It uses PH, ultrasonic and water-flow sensors along with a PIC microcontroller. It’s designed to be simple and low-cost so that water quality assessment and water security available without needing a high level of technical knowledge. It allows monitoring of lakes, ponds, reservoirs, and rivers, allows resources to assigned according to demand without compromise quality and can enable planned water management.