Regional mountain torrent risk prediction method and system
A risk prediction, regional technology, applied in prediction, neural learning method, biological neural network model, etc., can solve the problem of mountain torrent health monitoring regional risk without effective prediction and evaluation, to improve the coverage of hills, overcome the The effect of low processing efficiency and improved accuracy
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Embodiment 1
[0058] like figure 1 As shown, the present embodiment proposes a regional flash flood risk prediction method, including:
[0059] S1. Predict the weather information of all hills in the area based on the meteorological model;
[0060] Collect the weather information of all the hills in the area, use the meteorological model to predict the weather information, and predict the weather conditions in the future. The present invention does not limit the specific meteorological model, and usually predicts the weather in the next 7 days.
[0061] S2. Screen the hills in the area based on the weather information, and select the hills that need to be predicted for flash flood risk;
[0062] my country is a mountainous country, and the area of hills accounts for about 2 / 3 of the country's land area, which is far higher than the world average. Since ancient times, my country has had the habit of living near mountains and rivers, so the dense population distribution in hilly areas pr...
Embodiment 2
[0095] like figure 2 As shown, the present embodiment proposes a regional flash flood risk prediction system, including:
[0096] The weather information module is used to predict the weather information of all hills in the area based on the weather model;
[0097] Collect the weather information of all the hills in the area, use the meteorological model to predict the weather information, and predict the weather conditions in the future. The present invention does not limit the specific meteorological model, and usually predicts the weather in the next 7 days.
[0098] The first screening module is used to screen the hills in the area based on the weather information, and select the hills that need to be predicted for flash flood risk;
[0099] my country is a mountainous country, and the area of hills accounts for about 2 / 3 of the country's land area, which is far higher than the world average. Since ancient times, my country has had the habit of living near mountains ...
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