Semi-Physical Estimates of National-Scale PM10 Concentrations in China Using a Satellite-Based Geographically Weighted Regression Model
Abstract
:1. Introduction
2. Materials and Methods
2.1. Data Collection and Reprocessing
2.1.1. Ground-Level Hourly PM10 Measurements
2.1.2. Satellite-Retrieved AOD
2.1.3. Meteorological Parameters
2.1.4. Data Integration
2.2. Methodology
2.2.1. Physics-Based Correction
2.2.2. Model Structure and Validation
3. Results and Discussion
3.1. Descriptive Statistics
3.2. Physics-Based Revision and Validation
3.3. Model Result Validation and Comparison
3.4. Annual Estimation of PM10 Mass Concentrations
4. Discussion
5. Conclusions
Acknowledgments
Author Contributions
Conflicts of Interest
References
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Zhang, T.; Gong, W.; Zhu, Z.; Sun, K.; Huang, Y.; Ji, Y. Semi-Physical Estimates of National-Scale PM10 Concentrations in China Using a Satellite-Based Geographically Weighted Regression Model. Atmosphere 2016, 7, 88. https://doi.org/10.3390/atmos7070088
Zhang T, Gong W, Zhu Z, Sun K, Huang Y, Ji Y. Semi-Physical Estimates of National-Scale PM10 Concentrations in China Using a Satellite-Based Geographically Weighted Regression Model. Atmosphere. 2016; 7(7):88. https://doi.org/10.3390/atmos7070088
Chicago/Turabian StyleZhang, Tianhao, Wei Gong, Zhongmin Zhu, Kun Sun, Yusi Huang, and Yuxi Ji. 2016. "Semi-Physical Estimates of National-Scale PM10 Concentrations in China Using a Satellite-Based Geographically Weighted Regression Model" Atmosphere 7, no. 7: 88. https://doi.org/10.3390/atmos7070088