scholarly journals Comparison of EU framework and daughter directives and current Serbian legislation on air pollution monitoring

2008 ◽  
Vol 14 (1) ◽  
pp. 5-10 ◽  
Author(s):  
Milena Jovasevic-Stojanovic ◽  
Snezana Matic-Besarabic
Keyword(s):  
Quality Control ◽  
Air Quality ◽  
Air Pollutants ◽  
Pollution Monitoring ◽  
Air Quality Monitoring ◽  
Air Pollution Monitoring ◽  
Eu Legislation ◽  
Target Values ◽  
Air Quality Control ◽  
The Republic

This paper discusses the air quality control in the current legislation of the Republic of Serbia and compares it with the relevant EU legislation, Framework and Daughter Directives of the air quality monitoring and management. QA/QC components, instrumentation and methodologies of the air quality control in RS are not yet structured and harmonized with EU requirements. The limit and target values for air pollutants notified in EU legislation may be partly comparable with relevant requirements in RS legislation.

scholarly journals A Proposal for Architectural Framework Using Internet of Things with Fog Computing for an Air Quality Monitoring System

2021 ◽  
Vol 2 (2) ◽  
pp. 1-14
Author(s):  
Aarti Rani ◽  
Keyword(s):  
Air Quality ◽  
Internet Of Things ◽  
Real Time ◽  
Monitoring System ◽  
Fog Computing ◽  
Pollution Monitoring ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
Air Pollution Monitoring ◽  
Architectural Framework

Air Monitoring becomes a systematic approach for sensitivity and finding out the circumstances of the atmosphere. The major concern of air quality monitoring is to measure the concentration of pollution and other important parameter related to the contamination and provides information in real-time to make decisions at right time to cure lives and save the environment. This paper proposes an Architectural Framework for the air quality monitoring system based on Internet-of-Things (IoT) and via Fog computing techniques with novel methods to obtain real-time and accurate measurements of conventional air quality monitoring. IoT-based real-time air pollution monitoring system is projected to at any location and stores the measured value of various pollutants over a web server with the Internet. It can facilitate the process and filter data near the end of the IoT nodes in a concurrent manner and improving the Latency issue with the quality of services.

scholarly journals Drawing Boundaries for Air Quality Control Under the Clean Air Act: The Importance of NOT Being Nonattainment

2007 ◽  
Vol 1 ◽  
Author(s):  
William V. Luneburg
Keyword(s):  
Quality Control ◽  
Air Quality ◽  
Pollution Control ◽  
Air Pollutants ◽  
Clean Air Act ◽  
Point Of View ◽  
Air Pollution Control ◽  
Air Quality Control ◽  
Clean Air ◽  
Regulatory Controls

Much has changed with regard to air pollution control since 1970 whenCongress revised the Clean Air Act to assume a form that, in very broad terms,it retains today.  From a legal point of view, while states1 still retained at thattime wide-ranging discretion to design the regulatory controls necessary toattain the air quality goals of the Act, that discretion was significantly limitedwhen Congress revisited the Act in 1977.  State discretion diminished to aneven greater extent, particularly with regard to the air pollutants ozone, carbonmonoxide, and particulate matter, when President George H.W. Bush signedthe Clean Air Act Amendments of 1990.

scholarly journals IoT Based Air Quality Monitoring System

2021 ◽  
Vol 9 (VIII) ◽  
pp. 402-406
Author(s):  
Divya D M
Keyword(s):  
Air Quality ◽  
Monitoring System ◽  
Mobile Application ◽  
Mobile App ◽  
Pollution Monitoring ◽  
Contamination Level ◽  
Air Quality Monitoring ◽  
Air Pollution Monitoring ◽  
General Wellbeing

In both created and non-industrial nations, proceeded with openness to helpless air quality is a significant general wellbeing hazard. Poisons that add to helpless air quality are thought to cause over 2.5 million unexpected losses every year all throughout the planet. To monitor things, In this undertaking, we will make an IOT-based Air Pollution Monitoring System in which we will display the quality of air in the mobile application utilizing a GSM and will set off a caution when the air quality drops under a particular range, for example when there is an enough measure of gases which are hurtful like CO2, smoke, liquor, benzene, and NH3 present noticeable all around. It will show the air quality in the proportion of PPM on the LCD and on the versatile application with the goal that we can without much of a stretch screen it. We can use our mobile app to display the contamination level in this IoT project.

scholarly journals Design and Development of Air Quality Monitoring System for Solapur City Using Smart Technologies: WSN and IoT

2021 ◽  
Author(s):  
Tabbsum Hanif Mujawar ◽  
P. Prabhkar ◽  
Vijendra Chaudhary ◽  
Lalasaheb Deshmukh
Keyword(s):  
Air Quality ◽  
Monitoring System ◽  
Pollution Monitoring ◽  
Quality Monitoring ◽  
Wireless Sensor ◽  
Air Quality Monitoring ◽  
Air Pollution Monitoring ◽  
Suspended Particulate ◽  
Smart Technologies ◽  
And Control

Owing to enhancement in technology there is inclination in miniaturization of devices which demands to build up stumpy expensive sensor, least powered and hardy devices. Accordingly, Wireless Sensor Networks (WSN) has gained significance in diverse applications: Farming, household, industries and environmental monitoring. Wireless sensor network system worn to monitor and control the air quality of an environment is developed. The air pollution monitoring system that measures temperature, humidity, SPM (Suspended Particulate Matter), NOx and CO are proposed. The conventional air quality monitoring system, prescribed by the Pollution Control Department, is tremendously pricey. Analytical measuring paraphernalia is lavish, time and power overriding, and can seldom be used for air quality exposure in real time. Endeavor has been completed to develop state of art monitoring system using commercially available standard pollutant gas sensors incorporated into a mote. An exact program made with LabVIEW is formed to constitute the measurements of sensing used in the established network. Remote monitoring of the system is made possible using IoT.

The Assessment of Time Series for an Entire Air Quality Control District in Southern Taiwan Using GARCH Model

2018 ◽  
Vol 7 (3.19) ◽  
pp. 119 ◽  
Author(s):  
Shu Lung Kuo ◽  
Ching Lin Ho
Keyword(s):  
Time Series ◽  
Quality Control ◽  
Air Quality ◽  
Air Pollutants ◽  
Garch Model ◽  
Multiple Time ◽  
Asymmetric Volatility ◽  
Air Quality Control ◽  
The Garch Model ◽  
T Distribution

The General Autoregressive Conditional Heteroskedastic (GARCH) model and 10 ordinary air quality monitoring stations in the entire air quality control district in Kaohsiung-Pingtung were used in this study. First, the factor analysis results within multivariate statistics were employed to select the main factor that affects air pollution, namely, the photochemical pollution factor. The characteristics of the GARCH model were discussed in terms of asymmetric volatility among the three air pollutants (PM10, NO2, and O3) within the factor. In addition, this study also combined the multiple time series model VARMA to explore changes in the time series of the three air pollutants and to discuss their predictability.The results showed that, although the coefficient of the GARCH model was negative when estimating the variance equation, the conditional variance would always be positive after taking the logarithm. The results also suggested that the GARCH model was quite capable of capturing the asymmetric volatility. In other words, if the condition that pollution factors might be subject to seasonal changes or outliers generated by the human contamination is not considered, the GARCH model had very good ability to verify the results and make predictions, regardless of whether it adopted any of the three risk concepts: normal distribution, t-distribution, and generalized error distribution. For example, under the trend of time series temporal and spatial distribution in various pollution concentrations of photochemical factors, the optimal model VARMA(2,0,0)-GARCH(1,1) selected in this study was used to conduct time series predictability after the verification procedure. After capturing the last 50 entries of data on O3 concentrations in the sequence, the results showed that the predictability correlation (r) was 0.812, the predictability of NO2 was 0.783 and the predictability of PM10 was 0.759. It can be learned from the results that under the sequence of the GARCH model with strong asymmetric volatility, the residual values of these three sequences as white noise were quite evident, and there was also a high degree of correlation in predictability.  

scholarly journals Air Duct Performance & Air Quality Control

2021 ◽  
Author(s):  
Dragan Jovanovic
Keyword(s):  
Carbon Monoxide ◽  
Quality Control ◽  
Particulate Matter ◽  
Air Quality ◽  
Air Pollutants ◽  
Test Rig ◽  
Quality Research ◽  
Air Quality Control ◽  
The Future

This report focuses on improving the air performance and air quality of the Bombardier Global 7500. A test rig is designed and built, with the intentions of simulating the inlet ducting of the Global 7500. The performance of the test rig has been measured, and the ducting is prepared for testing. Preparations have been made to test the effect that various air outlets have on the performance of the ducting. The temperature can vary throughout the cabin, causing discomfort for passengers, it is possible that the inlet ducting is responsible for this. Additionally, the effect of numerous air pollutants has been explored and a focus has been made to test particulate matter and carbon monoxide. The Honeywell HPM Series and the Adafruit MiCS5524 have been suggested for detecting particulate matter and carbon monoxide respectively. The ducting designed can be used for various air performance and air quality research in the future.

scholarly journals On the Security and Data Integrity of Low-Cost Sensor Networks for Air Quality Monitoring

Sensors ◽  
2018 ◽  
Vol 18 (12) ◽  
pp. 4451 ◽  
Author(s):  
Lan Luo ◽  
Yue Zhang ◽  
Bryan Pearson ◽  
Zhen Ling ◽  
Haofei Yu ◽  
...  
Keyword(s):  
Air Quality ◽  
Low Cost ◽  
Measurement Data ◽  
Data Integrity ◽  
Pollution Monitoring ◽  
Quality Monitoring ◽  
Monitoring Systems ◽  
Air Quality Monitoring ◽  
Air Pollution Monitoring ◽  
The Public

The emerging connected, low-cost, and easy-to-use air quality monitoring systems have enabled a paradigm shift in the field of air pollution monitoring. These systems are increasingly being used by local government and non-profit organizations to inform the public, and to support decision making related to air quality. However, data integrity and system security are rarely considered during the design and deployment of such monitoring systems, and such ignorance leaves tremendous room for undesired and damaging cyber intrusions. The collected measurement data, if polluted, could misinform the public and mislead policy makers. In this paper, we demonstrate such issues by using a.com, a popular low-cost air quality monitoring system that provides an affordable and continuous air quality monitoring capability to broad communities. To protect the air quality monitoring network under this investigation, we denote the company of interest as a.com. Through a series of probing, we are able to identify multiple security vulnerabilities in the system, including unencrypted message communication, incompetent authentication mechanisms, and lack of data integrity verification. By exploiting these vulnerabilities, we have the ability of “impersonating” any victim sensor in the a.com system and polluting its data using fabricated data. To the best of our knowledge, this is the first security analysis of low-cost and connected air quality monitoring systems. Our results highlight the urgent need in improving the security and data integrity design in these systems.

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