Evaluation on the Effectiveness of China's 2013 Action Plan for Air Pollution Prevention and Control Público

Abstract

China promulgated its 2013 Action Plan of Air Pollution Prevention and Control in order to remediate the heavily polluted atmosphere. To evaluate the effect of this nationwide policy, a statistical model was developed using ground measurements of fine particulate matter (PM2.5) concentration, satellite retrieved Aerosol Optical Depth (AOD), meteorological factors and land cover parameters in northern China between 2013 and 2014. Model predictions suggested that the policy implementation has accounted for 35% or 48% of the total reduction in annual average PM2.5 concentrations, based on different scenarios of policy implementation. As data required to develop this model are generally accessible in most cities of China, this model can be applied as a convenient tool to evaluate Chinese air pollution policies.

Table of Contents

Literature Review

(1.) Air Pollution and Action Plan in Northern China

(2.) Evaluating the Particulate Matter with Remote Sensing Data

(3.) Modelling effort between AOD and PM2.5 concentration

1. Introduction

2. Data and Methods

2.1 Ground PM2.5 Measurement Data

2.2 Remote Sensing Data

2.3 Meteorological Data and Land Cover Data

2.4 Data Preparation and Integration

2.5 Model Development and Validation

2.6 Evaluation of the Effectiveness of the Action Plan

3. Result and Discussion

3.1 Descriptive Analysis and Summary Statistics

3.2 Model Development

3.3 Model Performance

3.4 Effectiveness of the Implementation of the Action Plan

3.5 Limitations

4. Conclusion

Referneces

Tables and Figures

About this Master's Thesis

Rights statement

• Permission granted by the author to include this thesis or dissertation in this repository. All rights reserved by the author. Please contact the author for information regarding the reproduction and use of this thesis or dissertation.

School	Rollins School of Public Health
Department	Environmental Health
Degree	MPH
Submission	Master's Thesis
Language	English
Research Field	Health Sciences, Public Health
Palavra-chave	Linear Mixed Effects Model China Air Pollution PM2.5
Committee Chair / Thesis Advisor	Liu, Yang, Emory University
Committee Members	Tolbert, Paige, Emory University
Partnering Agencies	Does not apply (no collaborating organization)

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