Hourly Ground Level PM2.5 Estimation for the Southeast of China Based on Himawari-8 Observation Data
| Autor: | Ying Li, Yong Xue, Jie Guang, Guili Chen, Cheng Fan, Lu She |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
010504 meteorology & atmospheric sciences
Correlation coefficient Planetary boundary layer 0211 other engineering and technologies Air pollution Climate change 02 engineering and technology Particulates medicine.disease_cause Atmospheric sciences 01 natural sciences medicine Geostationary orbit Environmental science Relative humidity Spatial variability 021101 geological & geomatics engineering 0105 earth and related environmental sciences |
| Zdroj: | IGARSS |
| DOI: | 10.1109/igarss.2019.8897947 |
| Popis: | Particulate matters (PMs) have substantial influences on environmental system, climate change and public health. PM monitoring method with high temporal resolution and wide coverage is necessarily for the warning of air pollution. In this study, we used Geostationary satellite Himawari-8 data and other meteorological parameters such as relative humidity (RH) and planetary boundary layer height (PBLH) to estimate hourly PM 2.5 concentrations over the southeast coastal region of China. The estimated PM 2.5 shows good correlation with the ground-based observation data with the correlation coefficient of 0.66. The retrieval results also show hourly spatial variation of PM 2.5 clearly. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|