Study on Uncertainty of Gas Monitoring Dynamic Calibration System

2011 ◽  
Vol 105-107 ◽  
pp. 1970-1974 ◽  
Author(s):  
Li De Fang ◽  
Xiu Ming Xiang ◽  
Xiao Ting Li ◽  
Li Li Pang ◽  
Xiao Jie Wang ◽  
...  
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Measurement Uncertainty ◽  
Monitoring System ◽  
Rapid Development ◽  
Measurement Model ◽  
Quality Monitoring ◽  
Dynamic Calibration ◽  
Air Quality Monitoring ◽  
Calibration System

With the rapid development of industry and transportation, air pollution is worsening, therefore, monitoring of air pollution components is more and more heeded. In this study, based on the measurement model and the composition of the air quality monitoring system on line, the mathematical model of the measurement system value transmission was analyzed, and the uncertainty components were calculated respectively, a conclusion that the main factor of the overall system uncertainty is the uncertainty of system itself in the existing air quality monitoring system was drawn, so measurement uncertainty of the calibration system was focused on the research. The effects of the Zero-gas, calibration gases and gas mass flow controller on the uncertainty of the calibration system was experimented and analyzed, and measurement uncertainty of the dynamic calibration system was evaluated.

Air pollution in Astana: analysis of recent trends and air quality monitoring system

2018 ◽  
Vol 5 (11) ◽  
pp. 22749-22758 ◽  
Author(s):  
Aiymgul Kerimray ◽  
Aidyn Bakdolotov ◽  
Yerbol Sarbassov ◽  
Vasileios Inglezakis ◽  
Stavros Poulopoulos
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Monitoring System ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
Recent Trends

scholarly journals Air Quality and Active Transportation Modes: A Spatiotemporal Concurrence Analysis in Guadalajara, Mexico

2021 ◽  
Vol 13 (24) ◽  
pp. 13904
Author(s):  
Gabriela Ochoa-Covarrubias ◽  
Carlos González-Figueredo ◽  
Hugo DeAlba-Martínez ◽  
Alejandro L. Grindlay
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Monitoring System ◽  
Latin American ◽  
Active Transportation ◽  
Quality Monitoring ◽  
Bus Rapid Transit ◽  
Air Quality Monitoring ◽  
Rapid Transit ◽  
Transportation Modes

The protection of pedestrians, cyclists, and public transportation passengers from environmental pollution is a global concern. This study fills the gap in the existing knowledge of temporal exposure to air pollution in Latin American metropolises. The paper proposes a methodology addressing the relationship between two objects of study, i.e., the users of active modes of transport and air quality. This new methodology assesses the spatiotemporal concurrence of both objects with statistical analysis of large open-access databases, to promote healthy and sustainable urban mobility. The application of the empirical methodology estimated the number of users of active transportation modes exposed to poor air quality episodes in the Guadalajara metropolitan area (Mexico) in 2019. The study considered two pollutants, ozone (O3) and particulate matter (PM10), and two active modes, cycling and bus rapid transit (BRT). Spatiotemporal analyses were carried out with geographic information systems, as well as with numeric computing platforms. First, big data were used to count the number of users for each mode within the area of influence of the air quality monitoring stations. Second, the number of air pollution episodes was obtained using the air quality index proposed by the Environmental Protection Agency (USA) on an hourly basis. Third, the spatiotemporal concurrence between air quality episodes and active mode users was calculated. In particular, the air quality monitoring data from the Jalisco Atmospheric Monitoring System were compared to users of the public bicycle share system, known as MiBici, and of a bus rapid transit line, known as Mi Macro Calzada. The results showed that the number of cyclists and BRT passengers exposed to poor air quality episodes was considerable in absolute terms, that is, 208,660 users, while it was marginal when compared to the total number of users exposed to better air quality categories in the study area, who represented only 10%. To apply the results at the metropolitan scale, the spatial distribution of the air quality monitoring system should be improved, as well as the availability of data on pedestrians and conventional bus passengers.

scholarly journals Development of Air Quality Assessment System using WSN

2021 ◽  
pp. 346-351
Author(s):  
Parth Parashtekar ◽  
Neha Nilajkar ◽  
Purva Shetty ◽  
Deepali Yewale
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Embedded System ◽  
Monitoring System ◽  
Assessment System ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
Human Beings ◽  
Time Data ◽  
Air Quality Assessment

Air pollution is one of the most significant environmental issues. Nowadays, with the increasing population and industries, the air quality is getting degraded. Air pollutants can have severe effects on human health. They may also lead to chronic diseases. These pollutants are a threat not only to human beings but also to animals and birds. Cities like Delhi and Beijing are getting shut down due to excessive pollution and smog every year. As we know, air pollution causes all sorts of breathing disorders. Rectifying this issue is not in our hands, but we can monitor the situation and collect data to prevent this catastrophe in the future. This paper aims to design and implement an air quality monitoring system for constantly analyzing and reporting real-time data. This paper explains the prototype design of an embedded-system-based air quality monitoring system that will sense various harmful gases present in the air. This data will be gathered and stored in an easily accessible manner and displayed on a website.

scholarly journals Domain adaptation based deep calibration of low-cost PM2.5 sensors

2021 ◽  
Author(s):  
Sonu Kumar Jha ◽  
Mohit Kumar ◽  
Vipul Arora ◽  
Sachchida Nand Tripathi ◽  
Vidyanand Motiram Motghare ◽  
...  
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Domain Adaptation ◽  
Low Cost ◽  
Monitoring Network ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
Proposed Model ◽  
Temperature And Humidity ◽  
Calibration Approach

<div>Air pollution is a severe problem growing over time. A dense air-quality monitoring network is needed to update the people regarding the air pollution status in cities. A low-cost sensor device (LCSD) based dense air-quality monitoring network is more viable than continuous ambient air quality monitoring stations (CAAQMS). An in-field calibration approach is needed to improve agreements of the LCSDs to CAAQMS. The present work aims to propose a calibration method for PM2.5 using domain adaptation technique to reduce the collocation duration of LCSDs and CAAQMS. A novel calibration approach is proposed in this work for the measured PM2.5 levels of LCSDs. The dataset used for the experimentation consists of PM2.5 values and other parameters (PM10, temperature, and humidity) at hourly duration over a period of three months data. We propose new features, by combining PM2.5, PM10, temperature, and humidity, that significantly improved the performance of calibration. Further, the calibration model is adapted to the target location for a new LCSD with a collocation time of two days. The proposed model shows high correlation coefficient values (R2) and significantly low mean absolute percentage error (MAPE) than that of other baseline models. Thus, the proposed model helps in reducing the collocation time while maintaining high calibration performance.</div>

An assessment of ambient air quality using AQI and exceedance factor for Udaipur City, Rajasthan (India)

2021 ◽  
pp. 94-106
Author(s):  
Porush Kumar ◽  
Kuldeep ◽  
Nilima Gautam
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Pollution Control ◽  
Urban Air Pollution ◽  
Ambient Air ◽  
Quality Monitoring ◽  
Urban Air ◽  
Air Quality Monitoring ◽  
Ambient Air Quality ◽  
Control Board

Air pollution is a severe issue of concern worldwide due to its most significant environmental risk to human health today. All substances that appear in excessive amounts in the environment, such as PM10, NO2, or SO2, may be associated with severe health problems. Anthropogenic sources of these pollutants are mainly responsible for the deterioration of urban air quality. These sources include stationary point sources, mobile sources, waste disposal landfills, open burning, and similar others. Due to these pollutants, people are at increased risk of various serious diseases like breathing problems and heart disease, and the death rate due to these diseases can also increase. Hence, air quality monitoring is essential in urban areas to control and regulate the emission of these pollutants to reduce the health impacts on human beings. Udaipur has been selected for the assessment of air quality with monitored air quality data. Air quality monitoring stations in Udaipur city are operated by the CPCB (Central Pollution Control Board) and RSPCB (Rajasthan State Pollution Control Board). The purpose of this study is to characterize the level of urban air pollution through the measurement of PM10, NO2, or SO2 in Udaipur city, Rajasthan (India). Four sampling locations were selected for Udaipur city to assess the effect of urban air pollution and ambient air quality, and it was monitored for a year from 1st January 2019 to 31st December 2019. The air quality index has been calculated with measured values of PM10, NO2, and SO2. The concentration of PM10 is at a critical level of pollution and primarily responsible for bad air quality and high air quality Index in Udaipur city.

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