Specific criteria has been established for the classification of chemical health and physical hazards, with many hazard classes sub-divided into hazard categories based on the severity of the hazard.

This paper takes a new look at dam hazard potential classification via machine learning algorithms by proposing a novel geospatial model to estimate new predictors. We take a multi-objective approach ...

Previously, Cal Fire's fire hazard maps only had a "very high" category. The new maps now include a "high" and "moderate" ...

While the old maps showed only areas deemed “very high” hazard, the new ones show that category ... it now has 5,241 acres in that classification, with another 803 acres of high danger ...

Sacramento, Amador, Calaveras and Tuolumne counties are represented in the new maps. The next phase of updated California Fire Hazard Severity Zones, which assess the likelihood of wildfire ...