Evaluation of Effectiveness of 2013 Action Plan for Air Pollution Prevention and Control in North China Öffentlichkeit

Abstract

As the largest developing country, China has some of the worst air quality in the world. Fine particulate matter (PM 2.5) is one of major components of air pollution. There is a strong association between exposure to PM 2.5 and adverse health outcomes. A linear mixed effect (LME) model was established using satellite remote sensing data, meteorological parameters, and population data to evaluate the effectiveness of 2013 Action Plan for Air Pollution Prevention and Control in North China. The cross validation (CV) R² and RMSE of the overall LME model was 0.59 and 34.61 μg/m³, respectively. The results showed that the PM2.5 concentration decreased by 19.62 μg/m³ and the air pollution prevention policy accounted for 68% of the reduction in PM 2.5 levels during 2013 to 2015 in North China. The data required to develop the model are accessible in most cities of China. Therefore, the LME model could be used as a tool to evaluate the effectiveness of the air pollution control policy in other parts of China.

Table of Contents

1. Introduction.....................................................................1

2. Material and methods.......................................................6

2.1 Study domain.................................................................6

2.2 Ground PM 2.5 measurements.........................................6

2.3 Satellite AOD data..........................................................6

2.4 Meteorological data........................................................7

2.5. Land Cover and Population Data.....................................7

2.6 Data integration.............................................................8

2.7 Model development and validation..................................9

2.8 Evaluation of the effectiveness of the Action Plan............10

3. Results and Discussion.....................................................12

3.1 Descriptive Statistics......................................................12

3.2 Model fitting and cross validation....................................13

3.3 Effectiveness of the Action Plan.......................................14

3.4. Limitations....................................................................16

Conclusion...........................................................................17

References...........................................................................18

Tables and Figures................................................................21

About this Master's Thesis

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School	Rollins School of Public Health
Department	Environmental Health
Degree	MPH
Submission	Master's Thesis
Language	English
Research Field	Health Sciences, Public Health
Stichwort	Air pollution control Particulate matter Aerosol optical depth Linear mixed effects model North China
Committee Chair / Thesis Advisor	Liu, Yang, Emory University
Committee Members	Tolbert, Paige, Emory University

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