Understanding the spatial representativeness of air quality monitoring network and its application to PM2.5 in the mainland China
Air pollution has seriously endangered human health and the natural ecosystem during the last decades. Air quality monitoring stations (AQMS) have played a critical role in providing valuable data sets for recording regional air pollutants. The spatial representativeness of AQMS is a critical parame...
Main Authors: | Ling Su, Chanchan Gao, Xiaoli Ren, Fengying Zhang, Shanshan Cao, Shiqing Zhang, Tida Chen, Mengqing Liu, Bingchuan Ni, Min Liu |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2022-05-01
|
Series: | Geoscience Frontiers |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1674987122000238 |
Similar Items
-
Assessment of 24-h moving average PM2.5 concentrations in Bangkok, Thailand against WHO guidelines
by: Sirapong Sooktawee, et al.
Published: (2023-01-01) -
Regional Representativeness Analysis of Ground-Monitoring PM<sub>2.5</sub> Concentration Based on Satellite Remote Sensing Imagery and Machine Learning Techniques
by: Rui Luo, et al.
Published: (2023-06-01) -
The Long-term Characteristics of PM10 and PM2.5 in Bangkok, Thailand
by: Supanan Chirasophon, et al.
Published: (2020-03-01) -
The socioeconomic drivers of China’s primary PM2.5 emissions
by: Dabo Guan, et al.
Published: (2014-01-01) -
Spatial Distribution of PM2.5‐Related Premature Mortality in China
by: Sheng Zheng, et al.
Published: (2021-12-01)