How to accurately prevent the "train effect" of heavy rainfall? Dyuan reveals for you

This article will delve into the causes of the "train effect" of heavy precipitation, analyze which months it occurs frequently, introduce coping methods and preventive measures for this phenomenon, and explain how Dyuan products can help with accurate prediction of heavy precipitation, providing strong support for people to cope with the "train effect".

In the atmosphere, when a region frequently and continuously generates convective cells with small spatial scales over a period of time, the conditions for the formation of the "train effect" begin to exist. These convective cells are like sections of a train, each one generated will move along a specific direction. Subsequently, new convective cells will be generated at the same location and continue to move in the same direction, forming a structure similar to a "train" composed of a series of convective cell arrangements. When this' train 'has a continuous' sustained' impact on a downstream area, heavy precipitation occurs. Since the moving vector of the convective rain belt is basically parallel to its trend, the heavy rainfall units in the convective rain belt successively pass through the same place, making the rainfall continuously accumulate, which often leads to a huge accumulated rainfall, forming heavy rainstorm or even a extremely heavy rainstorm.

The high incidence months of the "train effect" of heavy precipitation vary in different regions of China. In the southern region, it is usually more common from May to September, when it is the rainy season, warm and humid air currents are active, and there is sufficient water vapor in the atmosphere. When encountering cold air moving southward, the convergence of cold and warm air can easily trigger the frequent generation of convective systems. For example, in June 2024, due to the "train effect", some regions in Hunan will experience extreme precipitation from rainstorm to heavy rainstorm and local extremely heavy rainstorm. Liu Hongwu, the national chief forecaster of Hunan Provincial Meteorological Observatory, stated that the extreme precipitation in Yiwangxi Town, Taoyuan County, Changde City was mainly affected by the "train effect". The convective system repeatedly generated and developed, and numerous precipitation cloud clusters passed through the same area, resulting in long-term and high-intensity precipitation in the area.

In the northern region, the heavy rainfall caused by the "train effect" is mostly concentrated in July and August, during which the northern region enters the main flood season and also has the conditions for intense clashes between cold and warm air. On July 30, 2023, the Central Meteorological Station issued a red warning for rainstorm. Affected by the "train effect", Hebei, Beijing and other places experienced heavy to rainstorm, and some areas even experienced extremely heavy rainstorm, bringing serious floods to the local area.

Effective response and prevention measures are crucial in the face of the "train effect" of heavy precipitation. In terms of urban planning and construction, it is necessary to improve the drainage system, increase the diameter of drainage pipelines, enhance drainage capacity, and ensure effective relief of urban waterlogging during heavy rainfall. At the same time, strengthen the regulation and dredging of urban rivers to ensure smooth flow of river water. As for residents, they should pay close attention to the warning information issued by the meteorological department. When receiving the rainstorm warning, they should try to reduce their activities outside and avoid going to low-lying areas, mountainous areas and other areas prone to danger. If you are in a mountainous area, be alert to geological disasters such as flash floods and mudslides. Once abnormalities are detected, quickly move to higher ground.

Dyuan products play an important role in predicting heavy precipitation. Dyuan utilizes advanced meteorological monitoring technology and big data analysis algorithms to monitor various meteorological elements in the atmosphere in real time, including rainfall, temperature, humidity, air pressure, wind direction, and wind speed. Through precise analysis of these data, signs of convective cell generation can be captured in advance, and their movement paths and development trends can be predicted. For example, the meteorological monitoring system of Dyuan can quickly identify convective cloud clusters that may form a "train effect", issue timely warning information, and obtain sufficient response time for relevant departments and the public to take preventive measures in advance and reduce the losses caused by the "train effect" of heavy precipitation.

Summary: The "train effect" of heavy precipitation, due to its unique formation mechanism, can easily trigger extreme precipitation events in specific months, posing a threat to people's lives and property safety. By understanding the causes and high incidence months of the "train effect", taking effective response and prevention measures, and utilizing advanced meteorological forecasting technologies such as Dyuan products, we can better cope with the "train effect", reduce disaster losses, and ensure social stability and safety.