Meet Anish Peri, the student tracing wildfires back to their source
Anish Peri has pioneered a groundbreaking system that traces the origins of wildfires by analyzing smoke patterns. His innovative project utilizes inverse atmospheric dispersion modeling in conjunction with gas sensor networks to effectively locate fire sources. The significance of his research has earned him distinguished awards in the fields of science and meteorology, highlighting advancements…
Anish Peri, a high school student from Eden Prairie, Minnesota, has developed a novel approach to pinpointing the origin of wildfires by analyzing the movement of smoke. His project, titled "From Smoke to Source: Inverse Atmospheric Dispersion Modelling for Wildfire Localisation with Gas Sensor Networks," was featured at the 2026 Minnesota State Science and Engineering Fair.
Peri's innovative methodology involves using inverse atmospheric dispersion modelling, a technique that reverses the usual process of predicting smoke dispersion to instead trace back to the fire's origin. This approach is complemented by a network of gas sensors that gather data from various points, enabling a more precise estimation of the fire's location.
The project's success was recognized with two prestigious awards at the fair: the NOAA Taking the Pulse of the Planet Award and the Twin Cities Meteorological Society Award. These accolades underscore the significance of Peri's work in merging atmospheric science, environmental engineering, sensor technology, and mathematical modelling to solve the complex challenge of wildfire source detection.
Written by urgent.news from Times of India's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
