The study of the properties of surface ozone using the air quality monitoring data in Mexico city

2016 ◽  
Vol 35 (2) ◽  
pp. 217
Author(s):  
Yu-Woon Jang ◽  
Gang-Woong Lee
Keyword(s):  
Air Quality ◽  
Mexico City ◽  
Surface Ozone ◽  
Quality Monitoring ◽  
Monitoring Data ◽  
Air Quality Monitoring

Air Quality Data Management System Based on VB.NET

2014 ◽  
Vol 955-959 ◽  
pp. 1147-1150
Author(s):  
A Gu Da Mu Liu ◽  
Peng Yang ◽  
Wen Sheng Lv ◽  
Jie Liu
Keyword(s):  
Air Quality ◽  
Data Management ◽  
Management System ◽  
System Development ◽  
Quality Monitoring ◽  
Monitoring Data ◽  
Data Management System ◽  
Quality Data ◽  
Air Quality Monitoring ◽  
Air Quality Data

In order to achieve the automatic management of air quality monitoring data, the air quality data management system has been developed using VB.NET platform and Oracle as background database. It is also combined with the situation of the air quality in Beijing and based on the air quality monitoring data. The paper analyzes the system from 6 aspects, including technology selection, system architecture, system data flow diagram, system development environment, system functions and system features. Finally this paper explains the significance of the system development and application prospects.

scholarly journals Gridded global surface ozone metrics for atmospheric chemistry model evaluation

2015 ◽  
Vol 8 (2) ◽  
pp. 603-647 ◽  
Author(s):  
E. D. Sofen ◽  
D. Bowdalo ◽  
M. J. Evans ◽  
F. Apadula ◽  
P. Bonasoni ◽  
...  
Keyword(s):  
Air Quality ◽  
Atmospheric Chemistry ◽  
Model Evaluation ◽  
Climate Model ◽  
Surface Ozone ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
Monitoring Networks ◽  
Chemistry Research ◽  
Consistent Manner

Abstract. The concentration of ozone at the Earth's surface is measured at many locations across the globe for the purposes of air quality monitoring and atmospheric chemistry research. We have brought together all publicly available surface ozone observations from online databases from the modern era to build a consistent dataset for the evaluation of chemical transport and chemistry-climate (Earth System) models for projects such as the Chemistry-Climate Model Initiative and Aer-Chem-MIP. From a total dataset of approximately 6600 sites and 500 million hourly observations from 1971–2015, approximately 2200 sites and 200 million hourly observations pass screening as high-quality sites in regional background locations that are appropriate for use in global model evaluation. There is generally good data volume since the start of air quality monitoring networks in 1990 through 2013. Ozone observations are biased heavily toward North America and Europe with sparse coverage over the rest of the globe. This dataset is made available for the purposes of model evaluation as a set of gridded metrics intended to describe the distribution of ozone concentrations on monthly and annual timescales. Metrics include the moments of the distribution, percentiles, maximum daily eight-hour average (MDA8), SOMO35, AOT40, and metrics related to air quality regulatory thresholds. Gridded datasets are stored as netCDF-4 files and are available to download from the British Atmospheric Data Centre (doi:10.5285/08fbe63d-fa6d-4a7a-b952-5932e3ab0452). We provide recommendations to the ozone measurement community regarding improving metadata reporting to simplify ongoing and future efforts in working with ozone data from disparate networks in a consistent manner.

scholarly journals On the Use of Air Quality Monitoring Networks for the Evaluation of Nitrogen Oxide Emission Inventories

2008 ◽  
Vol 2 (1) ◽  
pp. 232-248 ◽  
Author(s):  
I.B. Konovalov ◽  
M. Beekmann
Keyword(s):  
Air Quality ◽  
Nitrogen Oxide ◽  
Quality Monitoring ◽  
Monitoring Data ◽  
Emission Inventories ◽  
Air Quality Monitoring ◽  
Data Set ◽  
Rural Background ◽  
Study Results ◽  
Different Types

The usefulness of ground based air quality monitoring data for diagnostics of uncertainties in gridded emission inventories is examined. A general probabilistic procedure for comparison of levels of uncertainties in different emission datasets is developed. It implies the evaluation of the agreement between modeling results obtained with these emission datasets and corresponding measurements. This procedure is applied to the evaluation of different datasets for European gridded nitrogen oxide (NOx) emissions by using the AirBase monitoring data and the CHIMERE chemistry-transport model. Numerical experiments are performed for two different types of spatial distributions of emission uncertainties and five different types of monitors. The results are also generalized for various levels of uncertainties in simulated and measured data. It is found, in particular, that most informative, from the point of view of diagnostics of NOx emission uncertainties, are the measurements of NO2 at rural background sites and measurements of ozone at suburban sites situated in the vicinity of intensive sources of emissions. A more precise conclusion regarding the relative accuracy of two emission datasets can be drawn with a larger number of monitors in a network and a higher accuracy of the model and measurements. For example, with a network of 50 rural background NO2 monitors, the probability of choosing the more certain emission data set is more than 90 percent, if differences in uncertainty of two sets are more than 50 percent. Practical recommendations for designing or evolving surface measurement networks, in light of the study results, are given.

Quality screening for air quality monitoring data in China

2016 ◽  
Vol 216 ◽  
pp. 720-723 ◽  
Author(s):  
Jianzheng Liu ◽  
Weifeng Li ◽  
Jie Li
Keyword(s):  
Air Quality ◽  
Quality Monitoring ◽  
Monitoring Data ◽  
Air Quality Monitoring

scholarly journals Analysis of short-term air quality monitoring data in a coastal area

2021 ◽  
Vol 8 (6) ◽  
pp. 517-531
Author(s):  
Suwimon Kanchanasuta ◽  
◽  
Sirapong Sooktawee ◽  
Natthaya Bunplod ◽  
Aduldech Patpai ◽  
...  
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Coastal Area ◽  
Source Area ◽  
Quality Monitoring ◽  
Monitoring Data ◽  
World Health ◽  
Air Quality Monitoring ◽  
Short Term ◽  
Potential Source

<abstract> <p>Short-term air quality monitoring in a coastal area, Naklua Subdistrict, Pattaya, Thailand is an activity to support the designated area under Thailand's sustainable tourism development. This study provided a short-term monitoring data analysis on time series and Bivariate Polar Plot (BVP) to provide the status of air quality and to determine the potential source area of air pollution. The result showed that NO<sub>2</sub>, SO<sub>2</sub>, CO and PM<sub>10</sub> were not higher than the national air quality standards, while the 24-hour average of PM<sub>2.5</sub> and the 8-hour average of O<sub>3</sub> were slightly higher than the World Health Organization (WHO) air quality guideline values. The nighttime PM<sub>2.5</sub> concentration was higher than the daytime concentration, and its potential source area is urban areas in the south. However, the daytime O<sub>3</sub> concentration is higher than the nighttime concentration. Its potential source area is from the northwest, where Sichang island is located. This result could be used to support air pollution management by controlling and reducing emissions in the potential source areas as the first priority. Also, the study revealed that the BVP technique could be used to determine the source area of air pollution in the coastal area, where wind circulation is more complex than that over the land.</p> </abstract>

Quantifying source apportionment for ambient haze: An image haze extraction approach with air quality monitoring data

2020 ◽  
Vol 184 ◽  
pp. 109216 ◽  
Author(s):  
Feng-Cheng Lin ◽  
Sheng-Hua Lu ◽  
Chen-Jui Liang ◽  
Yen-Hung Chen ◽  
Jeng-Jong Liang
Keyword(s):  
Air Quality ◽  
Source Apportionment ◽  
Quality Monitoring ◽  
Monitoring Data ◽  
Air Quality Monitoring
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