TY - JOUR
T1 - Assessing Long-Term Trend of Particulate Matter Pollution in the Pearl River Delta Region Using Satellite Remote Sensing
AU - Li, Ying
AU - Lin, Changqing
AU - Lau, Alexis K.H.
AU - Liao, Chenghao
AU - Zhang, Yongbo
AU - Zeng, Wutao
AU - Li, Chengcai
AU - Fung, Jimmy C.H.
AU - Tse, Tim K.T.
N1 - Publisher Copyright:
© 2015 American Chemical Society.
PY - 2015/8/24
Y1 - 2015/8/24
N2 - Serious particulate matter (PM) pollution problems in many polluted regions of China have been frequently reported in recent years. Long-term exposure to ambient PM pollution is significantly associated with adverse health effects. Characterizing the long-term trends and variation in PM pollution is a basic requirement for evaluating long-term exposure and for guiding future policies to reduce the effects of air pollution on health. However, long-term, ground-based PM measurements are only available at a few fixed stations. In this study, an algorithm is developed and validated to estimate PM concentrations based on the satellite atmospheric optical depth with 1 km spatial resolution. The long-term trends of PM10 concentrations in the entire Pearl River Delta (PRD) region and different cities are quantified and discussed. From 2001 to 2013, the PM10 pollution of the entire PRD region was dominated by a decreasing trend of -0.15 ± 0.23 μg/m3·yr. This decreasing PM10 trend was apparent over 75% of the PRD area, with the most significant decreases observed in the center of the region. However, the remaining 25%, mostly located in the outskirts of the region, showed an increasing PM10 trend. This overall decreasing trend indicates the effectiveness of the control measures applied in the past decade for the primary pollutants.
AB - Serious particulate matter (PM) pollution problems in many polluted regions of China have been frequently reported in recent years. Long-term exposure to ambient PM pollution is significantly associated with adverse health effects. Characterizing the long-term trends and variation in PM pollution is a basic requirement for evaluating long-term exposure and for guiding future policies to reduce the effects of air pollution on health. However, long-term, ground-based PM measurements are only available at a few fixed stations. In this study, an algorithm is developed and validated to estimate PM concentrations based on the satellite atmospheric optical depth with 1 km spatial resolution. The long-term trends of PM10 concentrations in the entire Pearl River Delta (PRD) region and different cities are quantified and discussed. From 2001 to 2013, the PM10 pollution of the entire PRD region was dominated by a decreasing trend of -0.15 ± 0.23 μg/m3·yr. This decreasing PM10 trend was apparent over 75% of the PRD area, with the most significant decreases observed in the center of the region. However, the remaining 25%, mostly located in the outskirts of the region, showed an increasing PM10 trend. This overall decreasing trend indicates the effectiveness of the control measures applied in the past decade for the primary pollutants.
UR - https://www.webofscience.com/wos/woscc/full-record/WOS:000362629100048
UR - https://openalex.org/W2337267684
UR - https://www.scopus.com/pages/publications/84943542169
U2 - 10.1021/acs.est.5b02776
DO - 10.1021/acs.est.5b02776
M3 - Journal Article
C2 - 26302450
SN - 0013-936X
VL - 49
SP - 11670
EP - 11678
JO - Environmental Science and Technology
JF - Environmental Science and Technology
IS - 19
ER -