Research on the air quality prediction model of Wuhai mining area based on deep learning

Jinghua Wang,Taijie Tang,Lei Yan,Fang Liu,Jin Cheng,S Stanciu,G Shmavonyan,K Kassmi

doi:10.1051/e3sconf/202130002005

Jinghua Wang, Taijie Tang + Show 6 more

Open Access

https://doi.org/10.1051/e3sconf/202130002005

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Journal: E3S Web of Conferences	Publication Date: Jan 1, 2021
Citations: 1	License type: CC BY 4.0

Affiliation: Beijing Forestry University

Abstract

With the large-scale and high-intensity mining of coal resources in the Wuhai mining area, the destruction of soil and erosion of rocks has intensified, causing a large amount of surface soil spalling from the mine body and serious damage to the surface vegetation, which has had a serious impact on the quality of the environment in and around the mine. This paper focuses on the corresponding early warning research on air quality in the mining area of Wuhai, and constructs Deep Recurrent Neural Network (DRNN) and Deep Long Short Time Memory Neural Network (DLSTM) air quality prediction models based on the filtered weather factors. The simulation results are also compared and find that the prediction results of DLSTM are better than those of DRNN, with a prediction accuracy of 92.85%. The model is able to accurately predict the values and trends of various air pollutant concentrations in the mining area of Wuhai.

Highlights

Wuhai is one of the important coal production bases in China, located in the southwest of Inner Mongolia and the western border of the Ordos massif
The principal component analysis is used to select prediction factors from a large number of data items and select those that have a greater impact on air pollution concentration.We pay attention to seasonal effects on air quality, and ensure the accuracy of air-quality prediction models
Compared with the air quality prediction model based on deep recurrent neural network, the air quality prediction model based on deep

Summary

Introduction

Wuhai is one of the important coal production bases in China, located in the southwest of Inner Mongolia and the western border of the Ordos massif. The city contains a large amount of coking coal underground, with reserves occupying 58.8% of the total amount in the region.in recent years, with the vigorous exploitation of mineral resources, the ecological environment of Wuhai has been severely damaged and the situation has deteriorated rapidly

Data sources

Data standardization

Correlation analysis and prediction factor selection

Simulation results and analysis

Air quality prediction model based on DLSTM

Findings

Conclusions