Skoltech researchers have come up with an approach for aggregating and mapping data on the quality of water, soil, or air for agriculture, industrial needs, consumer and environmental protection. The new algorithm relies on readings from multiple isolated measurements of pollutant levels and other parameters at various locations to predict and visually map how each parameter—e.g., concentration of heavy metals—varies throughout the surrounding region. The solution then uses the data from environmental standards and regulations to combine the individual maps into a single one showing the overall quality of water, soil, or air that takes all of the parameters into account. The study is published in Scientific Reports.
Click here for original story, Algorithm builds maps predicting overall state of environment based on available measurements
Source: Phys.org