For instance, the sensors showed that the topography of the Santa Cruz Mountains protected downwind coastal towns from smoke, while the Sacramento River Delta suffered far more as smoke stagnated in its wide, low areas. Just a few hundred sensor units distributed over the larger Bay Area were enough to identify significant local differences in the spread of smoke. Sensor units mounted on buildings to stream data via Wi-Fi to Web-based mapping programs. The data from these two broad sensor networks helped residents decide whether to wear an N95 particle mask when going outside, whether it was safe to exercise or to let children play outdoors, how long to keep the air filters running inside the house, and how far to drive to escape. government, and PurpleAir, created via crowd-sourcing of commercial sensors. Technology was on duty miles downwind, where, as the battle against these fires went on for days, even weeks, many residents of the Bay Area and Sacramento River Delta region turned to air-quality sensor networks, particularlyĪirNow, maintained by the U.S. In our always-on, sensor-laden, Internet-connected world, shouldn't technology have done better? Too many did not make it out of their beds, let alone their homes.
In the case of the 2017 Tubbs Fire, the 2018 Camp Fire, and the 2020 August Complex Fires, high winds blasted flames through populated areas in the early morning hours while residents were sleeping. This has been the experience of hundreds of Californians. Your lives have just been saved by a Stone Age warning system: your dog. You roust your family and run to the car. Then you see it out your window: a wall of orange flame, crawling up a nearby hillside.
Why is the dog barking, you wonder, as you wake up? You notice the smell of smoke, and when you try to turn on your bedside light you discover that the power is out.
0 kommentar(er)
