The evaluation and optimization of calibration methods for low-cost particulate matter sensors: Inter-comparison between fixed and mobile methods.

With the development of the air pollution control, the low-cost sensors are widely used in air quality monitoring, while the data quality of these sensors is always the most concern for users. In this study, data from nine air monitoring stations with standard PM instruments were used as reference and compared with the data of mobile and fixed PM sensors in Jinan, the capital city of Shandong Province, China. Data quality of PM sensors was checked by the cross-comparison among standard method, fixed and mobile sensors.

Induction of Inflammatory Responses in Human Bronchial Epithelial Cells by Pb-Containing Model PM Particles via Downregulation of a Novel Long Noncoding RNA lnc-PCK1-2:1.

Airborne particular matter (PM) contains complex mixtures of pollutants, and their compositions also vary with time and location. Inhalation of PM may cause a number of diseases, such as bronchial and lung inflammation and lung cancer. So far, how different components of PM contribute to inflammation and toxicity is still not known.

[Seasonal Variation Characteristics and Potential Source Contribution of Sulfate, Nitrate and Ammonium in Beijing by Using Single Particle Aerosol Mass Spectrometry].

Single particle aerosol mass spectrometry (SPAMS) was deployed to continuously observe the aerosol particles of Beijing urban area from 2013-12 to 2014-11, and the hourly average data of sulfate, nitrate and ammonium (SNA) were obtained using the characteristic ion tracer method. The mixing state and size distribution of SNA were analyzed. In addition, based on Hysplit 48 h back air mass trajectory results in combination with Concentration Weighted Trajectory method (CWT), we obtained the seasonal potential source contribution area of SNA.

Characteristics of atmospheric single particles during haze periods in a typical urban area of Beijing: A case study in October, 2014.

To investigate the composition and possible sources of particles, especially during heavy haze pollution, a single particle aerosol mass spectrometer (SPAMS) was deployed to measure the changes of single particle species and sizes during October of 2014, in Beijing. A total of 2,871,431 particles with both positive and negative spectra were collected and characterized in combination with the adaptive resonance theory neural network algorithm (ART-2a). Eight types of particles were classified: dust particles (dust, 8.

[Pollution characteristics of VOCs in ambient air of Ji'nan City in summer].

Totally 56 kinds of volatile organic compounds (VOCs) in ambient air of Ji'nan City in summer 2010 were monitored by online GC to analyze their pollution characteristics and their relationship with weather conditions. The results showed that the majority of VOCs in ambient air in Ji'nan were alkanes, aromatics and olefins, accounting for 98.2% of the 56 kinds of total volatile organic compounds (TVOCs) detected.

Number concentration and size distributions of submicron particles in jinan urban area: characteristics in summer and winter.

The aerosol number concentration and size distribution were measured with the newly developed Wide-range Particle Spectrometer in summer and winter of 2006 at the urban site of Jinan City. Here reported the characteristics of fine particles of the different observation seasons. Relative high number concentrations for the particles in the diameter range of 10-500 nm were observed in both seasons.

[Ozone pollution, influence factors and their correlation at urban area in summer].

Based on the observational data of near surface O3, NO, NO2, CO and meteorological factors in the urban area of Ji'nan during summer 2003, the 03 concentrations and their temporal variation characteristics were studied. The correlation between O3 and its precursors (NO, NO2, CO) and related meteorological factors (solar radiation, temperature) was analyzed. The results show that O3 pollution during summer was very serious in Ji'nan, and the levels of O3, NO, NO2, NOx and CO were quite high during the observational period.