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Related Concept Videos

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Updated: Sep 17, 2025

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Air quality assessment in Beijing based on cloud model.

Weidong Rao1, Jialu Li2, Hankun Guo3

  • 1School of Mathematical Sciences, Jiangxi Science and Technology Normal University, Nanchang, 330038, China. raoweidong126@126.com.

Scientific Reports
|July 2, 2025
PubMed
Summary
This summary is machine-generated.

Beijing

Keywords:
Air qualityCloud modelFréchet distanceUncertainty

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Area of Science:

  • Environmental Science
  • Atmospheric Chemistry
  • Data Science

Background:

  • Outdoor air quality in Beijing has been a significant environmental concern.
  • Previous assessments often relied on traditional statistical methods.
  • Understanding long-term air quality trends is crucial for public health and policy.

Purpose of the Study:

  • To assess Beijing's outdoor air quality over the past decade using the cloud model method.
  • To evaluate the trends of major air pollutants and the Air Quality Index (AQI).
  • To introduce a novel similarity measurement for robust annual air quality assessments.

Main Methods:

  • Application of the cloud model method for pollutant and AQI evaluation.
  • Development of standard and evaluation clouds for key air pollutants.
  • Utilization of aggregation functions and cloud attributes for comprehensive AQI modeling.
  • Implementation of a second-order Fréchet distance-based normal cloud similarity measurement.

Main Results:

  • Significant improvement in Beijing's overall air quality observed from 2014 to 2023.
  • The Air Quality Index (AQI) trended downwards from moderate to mild pollution levels.
  • Key pollutants ([Formula: see text], [Formula: see text], [Formula: see text]) showed marked reductions, improving from good/light pollution to excellent ratings.
  • The cloud model method demonstrated effective capture of pollutant concentration variability.

Conclusions:

  • The cloud model approach provides a more nuanced and rigorous assessment of air quality compared to traditional methods.
  • Beijing's air quality has substantially improved over the last ten years.
  • The findings offer valuable insights for environmental management and policy formulation.