Abstract

In recent years, frequent severe haze weather has formed in China, including some of the most populated areas. We found that these smog-prone areas are often relatively a “local climate” and aim to explore this series of scientific problems. This paper uses remote sensing and data mining methods to study the correlation between haze weather and local climate. First, we select Beijing, China and its surrounding areas (East longitude 115°20′11″–117°40′35″, North latitude 39°21′11″–41°7′51″) as the study area. We collected data from meteorological stations in Beijing and Xianghe from March 2014 to February 2015, and analyzed the meteorological parameters through correlation analysis and a grey correlation model. We study the correlation between the six influencing factors of temperature, dew point, humidity, wind speed, air pressure and visibility and PM2.5, so as to analyze the correlation between haze weather and local climate more comprehensively. The results show that the influence of each index on PM2.5 in descending order is air pressure, wind speed, humidity, dew point, temperature and visibility. The qualitative analysis results confirm each other. Among them, air pressure (correlation 0.771) has the greatest impact on haze weather, and visibility (correlation 0.511) is the weakest.

Highlights

  • With the progress of technology and industry development, the term “haze” has gradually entered the news media’s vision and the general public in recent years

  • Analytical technology includes two aspects: the source diffusion model and receptor model, including a diffusion model based on pollution sources as the research object, due to the diffusion model needing to know the advanced list of sources of pollution, to some extent hindered its application in the field of haze weather factor [11,12]

  • This paper analyzes various meteorological data in the local climate and studies its relevance to haze weather based on aerodynamics

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Summary

Introduction

With the progress of technology and industry development, the term “haze” has gradually entered the news media’s vision and the general public in recent years. In the current studies of haze weather impact factors, they use source analysis technology to analyze. Analytical technology includes two aspects: the source diffusion model and receptor model, including a diffusion model based on pollution sources as the research object, due to the diffusion model needing to know the advanced list of sources of pollution, to some extent hindered its application in the field of haze weather factor [11,12]. The source analysis technology can obtain the types, chemical component characteristics, and contribution of different pollution sources in the haze. The influence degree of each impact factor on haze weather can be measured . A small part of research on haze factors has adopted the microscope method, the chemical method in the receptor model is more widely used in researching haze impact factors

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