A Sandstorm Prediction Method Based on Improved Naive Bayesian-CNN Multi-objective Classification Algorithm

Abstract

A sandstorm prediction method based on an improved Naive Bayesian-CNN multi-objective classification algorithm uses the "China's strong sandstorm sequence and its supporting dataset", the "China's strong sandstorm sequence and its supporting dataset" and the "China's terrestrial regional cloud map (IR1)" as the research objects. The method comprises the following steps of firstly considering the ground factors of sandstorm occurrence, using a naive Bayesian algorithm to analyze the meteorological data collected by the meteorological station, and establishing a sandstorm prediction model; secondly, considering that the atmospheric motion also affects the occurrence of sandstorms, using a convolutional neural network algorithm to analyze the infrared satellite cloud image and establish a sandstorm prediction model; and finally using a multi-objective algorithm to normalize the output probability of the two sandstorm prediction models. A sandstorm prediction method with strong expandability based on an improved Naive Bayesian-CNN multi-objective classification algorithm is disposed. The algorithm and the sandstorm prediction method provided by the invention comprehensively consider the influence of ground and atmospheric motion on the sandstorm occurrence, and are consistent with the characteristics of sandstorm occurrence.

Description

technical field [0001] The invention belongs to the technical field of artificial intelligence and extreme weather forecasting, relates to the forecasting and forecasting of sandstorms, and particularly relates to a sandstorm forecasting method based on an improved Naive Bayesian-CNN multi-target classification algorithm. Background technique [0002] In the arid regions of the earth, especially the desert and its adjacent areas, sand and dust weather often occurs, and the most serious one is sand and dust storms. This natural phenomenon has existed since ancient times and is caused by specific natural geographical environment and climatic conditions. In the world, only Europe has not reported dust storms. Asia, Africa, America and Australia have dust storms, which are related to long-term and relatively regular and short-term and relatively irregular changes in climate. The global large-scale drought, desertification, floods, freezing and other natural disasters have a ten...

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Problems solved by technology

[0006] In order to overcome the above-mentioned shortcoming that the existing sandstorm forecasting model based on statistics only considers a single factor when sandstorms occur, the purpose of the present invention is to provide a kind of sandstorm forecasting method based on the improved Naive Bayesian-CNN multi-objective classification algorithm, aiming at the sandstorm forecasting problem, Under the condition of meeting the constraints of sandstorm prediction accuracy, the model is continuously optimized to solve the problem of sandstorm prediction from a spatial three-dimensional perspective, and achieve the goal of effectively predicting the intensity and location of sandstorm occurrence

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