The Role of Forestry Weather Station in Forest Wildfire Prevention and Control

Weather stations continuously monitor temperature. In forest wildfire prevention work, temperature data is an important basis for assessing fire risk. For example, in hot weather, inflammable materials in the forest are more likely to reach their ignition points. Relative humidity data is also extremely crucial. When the humidity is low, combustible materials in the forest are dry and flammable. The accurate measurement of humidity by weather stations helps to grasp the flammable state of the forest. Wind speed and direction monitoring can predict the direction and speed of fire spread. The wind direction determines the direction of the fire, and high wind speeds will make the fire spread rapidly, providing direction for prevention work.

Before a wildfire occurs, staff can, based on meteorological data of different periods and regions provided by weather stations, reserve fire extinguishing equipment in appropriate areas in advance and arrange for personnel on duty during periods of high fire risk. For example, focus on deploying defenses during periods of high temperature, low humidity, and strong winds. Moreover, the data can help establish an early warning mechanism. When meteorological data reaches the threshold that is likely to cause a fire, an early warning is issued in time to prevent relevant personnel from allowing fire sources to enter the forest and strengthen patrols.

When a fire occurs, wind speed and direction data can help determine the location of the fire source and the direction of spread, so as to arrange the scientific deployment of fire extinguishing personnel and equipment. For example, setting up isolation belts in advance in the direction where the fire may spread and organizing fire extinguishing forces to block the fire downwind, etc., greatly improving fire extinguishing efficiency and safety.

Weather stations also have an important advantage, that is, they can share data. The Forestry Weather Station is connected to the meteorological network in the region and can obtain more data for analyzing local temperature and precipitation changes. Comparing data with nearby stations can ensure quality and promptly detect sensor problems. This helps to accurately grasp the local weather conditions and play a synergistic role in forest fire prevention in surrounding areas. For example, by comparing data from different stations, the range of extreme weather can be determined more accurately, providing references for fire prevention planning and resource sharing in a larger area, realizing regional collaborative fire prevention and enhancing the overall fire prevention ability.