Simulation of temporal and spatial distribution characteristics of air pollutant concentration in residential areas based on random forest
Jin-Yu Fan,
Bo-Hong Zheng,
Bo-Yang Zhang and
Bo Chen
International Journal of Environmental Technology and Management, 2023, vol. 26, issue 1/2, 105-118
Abstract:
In order to overcome the problems of poor pollutant concentration correlation and poor simulation effect in the traditional simulation results of air pollution concentration temporal and spatial distribution characteristics, a new simulation method of air pollution concentration temporal and spatial distribution characteristics in residential areas based on random forest is proposed. First, divide the indicators of air pollutants in residential areas, and setup the data series of the temporal and spatial distribution characteristics of air pollutant concentration. Then, build the feature judgement matrix and complete feature extraction. The simulation model of temporal and spatial distribution characteristics of pollutant concentration is constructed by using random forest, and the model is solved to realise the simulation of temporal and spatial distribution characteristics of pollutant concentration. The experimental results show that the proposed method has good correlation and high simulation accuracy.
Keywords: random forest; residential areas; air pollution concentration; temporal and spatial distribution; feature simulation. (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:ids:ijetma:v:26:y:2023:i:1/2:p:105-118
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