Understanding Wildfire Suppression

On the earth where we live, humans already have fire knowledge and tools. It will help humans become dominant species, and without it, like today we will not have a population. It brings blessings to the existence of human beings, but in today's world fire is a more fatal problem. The problem is wildfire. According to the Land Management Bureau, the BLM land has an average of about 2,700 forest fires per year ("fire control ..."). These forest fires cause serious problems and how to suppress them is important to understanding the fire risks in our country.

Wildfire restraint is a series of fire tactics used to curb forest fires. On-site firefighting requires a variety of technologies, equipment and training, but these technologies, equipment and training come from more familiar buildings in densely populated areas. These wildfire trained crews cooperate with specially designed air striking aircraft to control fire, make thermal lines, and eliminate fire and heat to protect resources and natural wilderness . Suppression of forest fires also solves the interface problem between wasteland and cities.

Suppression of forest fires depends on technology available in the field of forest fires. In developing countries, you can use as simple a method as throwing sand and burning fire with sticks and palm leaves. In more advanced countries, how to suppress depends on technical capacity. Silver iodide can be used to promote snowfall, but flame retardants and water can be placed on fire via unmanned aerial vehicles, planes and helicopters. Complete extinguishment is no longer anticipated, but most wildfires are often erased before they lose control. It contains 99% or more of 10,000 new wildfire every year, but it is difficult to suppress wildfire escaping under extreme weather conditions without changing the weather. Wildfire in Canada and the United States burns an average of 54,500 square kilometers (13 million acres) per year.

Wildfire modeling involves numerical simulation of forest fires to understand and predict fire behavior. Wildfire models are designed to help suppress wildfires, increase the safety of firefighters and the public, and minimize damage. Using computational science, forest fire modeling involves statistical analysis of past fire events and predicts location risks and state-of-the-art behaviors. Various wildfire propagation models have been proposed in the past including simple oval, oval and fan shaped models. Early attempts to determine wild fires behavior assumed the uniformity of terrain and vegetation. However, the precise behavior of the wildfire striker depends on various factors including wind speed and slope. The modern growth model uses a combination of the past ellipsoid description and Huygens' principle to simulate flame growth as a continuously expanding polygon. Extreme theory can also be used to predict the scale of large wildfires.