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@ Renke
2025-03-18 07:32:45Weather stations can monitor meteorological changes in real time and provide real-time updates on data such as rainfall, evaporation, temperature, humidity, and air pressure. These data are of vital value in predicting floods, which are specifically reflected in the following aspects:
Provide key indicator data to predict flood development Rainfall: Rainfall refers to the sum of the volume of rainfall per unit time, which is a key indicator for predicting flood development. Meteorological monitoring stations can monitor rainfall in real time and obtain relevant data by placing sensors on roofs, walls, or the ground. These data are calculated by algorithms to obtain predicted values, which can help predict rainfall in the future and then predict the scale and direction of floods. For example, excessive rainfall in a short period of time may cause floods. By real-time monitoring and prediction of rainfall, preparations can be made in advance.
Evaporation: Evaporation refers to the volume of water evaporated per unit time, which can be used to predict the speed of flood ebb. When the increase in rainfall causes the water surface to rise, the water evaporates and ebbs after the water level reaches the highest level. Meteorological monitoring stations place sensors near rivers, lakes, reservoirs and other water bodies, monitor evaporation in real time and obtain data, calculate the predicted value through algorithms, and use it to predict evaporation in the future and assist in judging the speed of flood ebb. Temperature and humidity: Temperature and humidity are important factors affecting the development of floods. When the temperature is too low, rainfall will slow down or even stop, and when it is too high, rainfall will increase; humidity refers to the saturation of water vapor per unit time, which can be used to predict the water level and flow rate of floods. Meteorological monitoring stations place sensors near rivers, lakes, reservoirs and other water bodies, monitor temperature and humidity in real time and obtain data, calculate the predicted value through algorithms, help predict the water level and flow rate in the future, and thus judge the direction of flood development.
Air pressure: Air pressure is an important indicator in meteorology and can be used to predict weather and climate change. Meteorological monitoring stations place sensors at high altitudes, monitor air pressure in real time and obtain data, calculate the predicted value through algorithms, and use it to predict rainfall and weather changes in the future and assist in predicting the direction of flood development.
Assist in analyzing the relationship between meteorological elements The meteorological station records the changes in different meteorological elements and can analyze the relationship and mutual influence between them, such as the relationship between temperature and humidity, wind direction and wind speed. These analysis results help to more accurately predict future weather changes, and thus provide more comprehensive information for flood forecasting. For example, certain combinations of meteorological conditions may indicate the arrival of heavy rainfall, thereby increasing the possibility of floods.
Support the establishment of flood prediction models The observation data provided by the meteorological station can be used as input to the flood prediction model to help scientists establish a more accurate flood prediction model. Through simulation and calculation, the time, location and extent of the possible flood can be predicted, improving the accuracy of flood prediction.
Realize real-time monitoring and early warning The meteorological station can monitor weather changes in real time and issue weather warnings in a timely manner. In flood forecasting, when the meteorological station detects meteorological conditions that may cause floods, it can issue an alarm in time to remind people to take appropriate measures, such as timely evacuation, thereby reducing casualties and property losses caused by floods.