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Spatiotemporal and Numerical Assessment of Air Quality Prediction Model in China: Integrating Regional Zonation and Climatic Partitioning Effects

Ma, Yiming LU (2025) SGEM08 20251
Department of Human Geography
Abstract
The COVID-19 pandemic has impacted the global economy, and I want to know whether China, as one of the world’s major economies, has chosen to sacrifice environmental resources for economic development during the post-pandemic era. By combining social factors and natural environmental factors, I established a model of the air quality changing trends among China’s major cities. According to comparisons of the results with actual air quality changes, I found that the overall trend of the predicted results is consistent with the actual urban air quality changes, although there are some outliers. This result confirms that the air quality in China has improved during the period before and after the pandemic. Upon further analysis of the outlier... (More)
The COVID-19 pandemic has impacted the global economy, and I want to know whether China, as one of the world’s major economies, has chosen to sacrifice environmental resources for economic development during the post-pandemic era. By combining social factors and natural environmental factors, I established a model of the air quality changing trends among China’s major cities. According to comparisons of the results with actual air quality changes, I found that the overall trend of the predicted results is consistent with the actual urban air quality changes, although there are some outliers. This result confirms that the air quality in China has improved during the period before and after the pandemic. Upon further analysis of the outlier cities, I found that the results of those outlier cities are likely due to targeted environmental policies. At the same time, through spatial and statistical analyses of the predicted results and actual changes, I discovered that the distribution of the predicted results shows a high degree of similarity with the division of the Hu Huanyong Line. (Less)
Please use this url to cite or link to this publication:
author
Ma, Yiming LU
supervisor
organization
course
SGEM08 20251
year
type
H2 - Master's Degree (Two Years)
subject
keywords
Air pollution, Air stability, Post-COVID era, Hu Huanyong Line, Air quality changes tendency
language
English
id
9193035
date added to LUP
2025-06-09 10:29:26
date last changed
2025-06-09 10:29:26
@misc{9193035,
  abstract     = {{The COVID-19 pandemic has impacted the global economy, and I want to know whether China, as one of the world’s major economies, has chosen to sacrifice environmental resources for economic development during the post-pandemic era. By combining social factors and natural environmental factors, I established a model of the air quality changing trends among China’s major cities. According to comparisons of the results with actual air quality changes, I found that the overall trend of the predicted results is consistent with the actual urban air quality changes, although there are some outliers. This result confirms that the air quality in China has improved during the period before and after the pandemic. Upon further analysis of the outlier cities, I found that the results of those outlier cities are likely due to targeted environmental policies. At the same time, through spatial and statistical analyses of the predicted results and actual changes, I discovered that the distribution of the predicted results shows a high degree of similarity with the division of the Hu Huanyong Line.}},
  author       = {{Ma, Yiming}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{Spatiotemporal and Numerical Assessment of Air Quality Prediction Model in China: Integrating Regional Zonation and Climatic Partitioning Effects}},
  year         = {{2025}},
}