Design of Real Time Air Pollution Monitoring System Based on Web Application and Main-Memory Database

2020 ◽  
Vol 48 (3) ◽  
pp. 01-02
Author(s):  
Matthew Loginov
Keyword(s):  
Air Quality ◽  
Web Application ◽  
Main Memory ◽  
Pollution Monitoring ◽  
Air Pollution Monitoring ◽  
Air Contamination ◽  
Negative Effect ◽  
Information Stream ◽  
World Information ◽  
The Impact

Air contamination issues are firmly connected to geographic areas. The current ecological observing frameworks have little spotlight on geographic data handling and continuous perception. Air quality checking framework. Sensor constituent on this scaffold depends on nano organized zinc oxide slender film blended utilizing soakedstufftrack. In this magazine, a spatial augmentation to fundamental reminiscencerecord is executed to help the capacity and record of virtual-world information. In the interim, noteworthy information is put away in disk-based spatial catalogue, giving the capacity of questioning and breaking down. A continuous air quality checking framework is structured and executed which can route and show information stream on constant.Natural checking is a methodical methodology for watching and contemplating the state of condition. For the sound person require taking in a spotless air yet because of expanding the transportation framework natural air get contaminated. Transport framework has the effect on condition where we live. Increment in vehicle offers ascend to expanding traffic related poison discharge. In this way, to follow the impact of this contamination on condition and soundness of individual it is important to follow the degree of contamination in urban and sub urban zones. Numerous wellbeing related issues are emerging from air contamination. In this manner, air quality observing is required so as to give valuable data about the contamination and can take proper measures to alleviate the negative effect at whatever point it is vital.

scholarly journals Air Pollution Monitoring System

2019 ◽  
Vol 8 (11) ◽  
pp. 2275-2279
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Real Time ◽  
Web Application ◽  
Pollution Monitoring ◽  
Easy Access ◽  
Multiple Sources ◽  
Air Pollution Monitoring ◽  
Software Applications ◽  
Future Work

In recent years, the problem of low air quality has been discussed in mass media over and over, with increasing urgency. Air pollutants are many and varied - caused by industrial and domestic activities, natural disasters and accidents, and more. Continuous daily breathing of polluted air has a bad effect on human health. The availability and easy access to up-to-date air quality information is useful for citizens when they plan outdoor activities and for their health prevention. There are numerous software applications on the web that track different characteristics of air quality in various cities. Some of them collect data using their own measuring stations, while others collect data from specialized sensors that citizens purchase and install at their preferred location. The task of aggregating data from multiple sources and providing it to users in an appropriate format is a topical task. The paper presents a web application that reports real-time air quality in a user-selected city. The application visualizes information on air temperature and humidity, particulate matter levels, ozone, nitrogen dioxide, ozone and sulfur dioxide. The data is collected using web services from various sources – informational websites and specialized sensors. Future work is directed toward the use of artificial neural networks to predict air pollution, and to determine real-time air quality at points where no measuring stations exist.

scholarly journals Impact of Air Pollution on Residents' Medical Expenses: A Study Based on the Survey Data of 122 Cities in China

2021 ◽  
Vol 9 ◽  
Author(s):  
Huan Liu ◽  
Tiantian Hu ◽  
Meng Wang
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Pollution Index ◽  
Medical Expenditure ◽  
Pollution Monitoring ◽  
Health Seeking ◽  
Subsequent Increase ◽  
Medical Expenses ◽  
Air Pollution Monitoring ◽  
The Impact

Background: With the development of the social economy, air pollution has resulted in increased social costs. Medical costs and health issues due to air pollution are important aspects of environmental governance in various countries.Methods: This study uses daily air pollution monitoring data from 122 cities in China to empirically investigate the impact of air pollution on residents' medical expenses using the Heckman two-stage and instrumental variable methods, matching data from the 2018 China Health and Retirement Longitudinal Study (CHARLS) survey.Results: The study found that poor air quality, measured by the air quality index (AQI), significantly increased the probability of chronic lung disease, heart disease, and self-rated poor health. Additionally, the AQI (with an effect of 4.51%) significantly impacted health-seeking behavior and medical expenses. The medical expenditure effects of mild, moderate, severe, and serious pollution days were 3.27, 7.21, 8.62, and 42.66%, respectively.Conclusion: In the long run, residents' health in areas with a higher air pollution index, indicating poor air quality, is negatively impacted. The more extreme the pollution, the higher the probability of residents' medical treatment and the subsequent increase in medical expenses. Group and regional heterogeneity also play a role in the impact of air pollution on medical expenses. Compared with the existing literature, this study is based on individuals aged 15 years and above and produces reliable research conclusions.

scholarly journals Green Home: New Application for Monitoring Indoor Air Quality Using Arduino Platform

2020 ◽  
Author(s):  
Ameera Ali Al-Fazari ◽  
Mahra Said Ahmed Al-Risi ◽  
Rasha AbdulWahhab
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Real Time ◽  
Web Application ◽  
Positive Impact ◽  
Pollution Monitoring ◽  
World Health ◽  
Potential Health ◽  
Air Pollution Monitoring ◽  
Health Organization

Air pollution is one of the most serious problems facing the atmosphere on the planet. Air pollution is defined as a collection of harmful chemicals and an organic material from factories are emitted in the atmosphere layer and causes many different diseases such as cough, eye irritation and even death. According to the World Health Organization (WHO), the number of deaths per year due to pollution from gases is about 3.5 million. The main objective of this research is to develop a real time air pollution monitoring web application able to detect indoor toxic gases titled Aircom. The proposed application has a special feature in which IoT technology is embedded in one of its units. The main purpose of using such technology is to help individual to check and get real time information about air’s parameters such as Methane, Ethanol, Toluene, CO2, CO, Alcohol, Acetone, LPG, NH4, Benzene and Hexane along with the temperature, humidity and dust. Aircome will be implemented as an integrated pollution monitoring application which consist of MQ-2, MQ-3, MQ-135, MQ-9, GP2Y1010AU0F, GPS,DHT11, ESP8266 Wi-Fi, Arduino Uno board and web server.  All the collected data form the suggested sensors are transmitting using Wifi technology to IoT module and in an online database.  Moreover, the collected data later can be viewed using web browser which is installed in any of electronic media. The retrieved data will be displayed in the form of tables and graphs. An alert will be send by Aircom instantly in case the level of air‘s parameters reach above normal level. Generally speaking, Aircom will be developed by using different languages such as C++, Arduino, Java, Java script, PHP, html and MySQL.  For further verification of our proposal, we employed a quantitative study to check if what we proposed will have positive impact among different samples in the society. The outcome of the survey indicates that using such application helps to protect individuals from the bad air quality and decreases the potential health problems.

Estimation of combined exposure factor due to the impact of different transport related environmental pollutants air quality and noise level in Delhi city

2015 ◽  
Vol 12 (4) ◽  
pp. 269-280
Author(s):  
Ravindra Kumar ◽  
Errampalli Madhu ◽  
Anil Maan ◽  
Sanjeev Sinha ◽  
Nasim Akhtar
Keyword(s):  
Air Quality ◽  
Noise Level ◽  
Environmental Pollutants ◽  
Weighting Factor ◽  
Pollution Monitoring ◽  
Combined Exposure ◽  
Content Type ◽  
Air Pollution Monitoring ◽  
Exposure Factor ◽  
The Impact

Purpose – The purpose of this paper is to estimate combined exposure factor (CEF) due to impact of different transport-related environmental pollutants, air quality and noise level in Delhi city. Design/methodology/approach – The Estimation of CEF takes into account the potential relative uptake of each pollutant (CO, NO, NO2, O3, SO2, PM10 and PM2.5) by the boarding and alighting of commuters at Public Transport facility and using motorcycle. With the help of CRRI mobile air pollution monitoring laboratory and previous CRRI reports. Findings – Combined exposure to environmental pollutants is determined based on the taking weighting factor of pollutant stressor. Results shows average stressor for CO, NO, NO2, SO2, PM2.5 and noise were 2.79 mg/m3, 331.83, 210.25, 16.70, 241.3883 µg/m3, and 72.5 dB(A), respectively. Similarly for motorcyclist, results shows average stressor for CO, NO, NO2, SO2, PM2.5 and noise were 5.1 mg/m3, 483, 398, 19.3, 295 µg/m3, and 82.7 dB(A), respectively. The results show higher exposure value for motorcyclist. Originality/value – Knowledge of exposure factor due to air and noise pollutant for bus commuter in sitting and standing and motorcyclist is not known for Delhi city.

scholarly journals COVID-19 and Air Pollution: Measuring Pandemic Impact to Air Quality in Five European Countries

Atmosphere ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 290
Author(s):  
Akvilė Feiferytė Skirienė ◽  
Žaneta Stasiškienė
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Social Services ◽  
Pollution Monitoring ◽  
Air Pollution Monitoring ◽  
Rapid Spread ◽  
Air Quality Improvement ◽  
Environment Agency ◽  
Pollution Emissions ◽  
Air Pollution Emissions

The rapid spread of the coronavirus (COVID-19) pandemic affected the economy, trade, transport, health care, social services, and other sectors. To control the rapid dispersion of the virus, most countries imposed national lockdowns and social distancing policies. This led to reduced industrial, commercial, and human activities, followed by lower air pollution emissions, which caused air quality improvement. Air pollution monitoring data from the European Environment Agency (EEA) datasets were used to investigate how lockdown policies affected air quality changes in the period before and during the COVID-19 lockdown, comparing to the same periods in 2018 and 2019, along with an assessment of the Index of Production variation impact to air pollution changes during the pandemic in 2020. Analysis results show that industrial and mobility activities were lower in the period of the lockdown along with the reduced selected pollutant NO2, PM2.5, PM10 emissions by approximately 20–40% in 2020.

scholarly journals A review on Assessment of Air Pollution due to Vehicular Emission in Traffic Area

2018 ◽  
Vol 8 (02) ◽  
Author(s):  
Aneri A. Desai
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Ambient Air ◽  
Pollution Monitoring ◽  
Motor Vehicles ◽  
Monitoring And Control ◽  
Ambient Air Quality ◽  
Vehicular Emission ◽  
Rapid Urbanization ◽  
Air Pollution Monitoring

In Indian metropolitan cities, the extensive growth of the motor vehicles has resulted in the deterioration of environmental quality and human health. The concentrations of pollutants at major traffic areas are exceeding the permissible limits. Public are facing severe respiratory diseases and other deadly cardio-vascular diseases In India. Immediate needs for vehicular air pollution monitoring and control strategies for urban cities are necessary. Vehicular emission is the main source of deteriorating the ambient air quality of major Indian cities due to rapid urbanization. Total vehicular population is increased to 15 Lacks as per recorded data of Regional Transport Organization (RTO) till 2014-2015. This study is focused on the assessment of major air pollution parameters responsible for the air pollution due to vehicular emission. The major air pollutants responsible for air pollution due to vehicular emissions are PM10, PM2.5, Sox, Nox, HC, CO2 and CO and Other meterological parameters like Ambient temperature, Humidity, Wind direction and Wind Speed. Sampling and analysis of parameters is carried out according to National Ambient Air Quality Standards Guidelines (NAAQS) (2009) and IS 5128.

scholarly journals Air Quality Variation in Wuhan, Daegu, and Tokyo during the Explosive Outbreak of COVID-19 and Its Health Effects

2020 ◽  
Vol 17 (11) ◽  
pp. 4119 ◽  
Author(s):  
Chang-Jin Ma ◽  
Gong-Unn Kang
Keyword(s):  
Air Quality ◽  
Allergic Airway Inflammation ◽  
Pollution Monitoring ◽  
Air Pollution Monitoring ◽  
Self Reflection ◽  
Short Period ◽  
Before And After ◽  
The City ◽  
Quality Variation ◽  
Pm2.5 Concentration

This study was designed to assess the variation of the air quality actually measured from the air pollution monitoring stations (AQMS) in three cities (Wuhan, Daegu, and Tokyo), in Asian countries experiencing the explosive outbreak of COVID-19, in a short period of time. In addition, we made a new attempt to calculate the reduced DosePM2.5 (μg) at the bronchiolar (Br.) and alveolar-interstitial (AI) regions of the 10-year-old children after the city lockdown/self-reflection of each city. A comparison of the average PM2.5 of a month before and after the lockdown (Wuhan) and self-reflection (Daegu and Tokyo) clearly shows that the PM2.5 concentration was decreased by 29.9, 20.9, and 3.6% in Wuhan, Daegu and Tokyo, respectively. Wuhan, Daegu and Tokyo also recorded 53.2, 19.0, and 10.4% falls of NO2 concentration, respectively. Wuhan, which had the largest decrease of PM2.5 concentration due to COVID-19, also marked the largest reduced DosePM2.5 10-year-old children (μg) (3660 μg at Br. and 6222 μg at AI), followed by Daegu (445 μg at Br. and 1287 μg at AI), and Tokyo (18 μg at Br. and 52 μg at AI), over two months after the city lockdown/self-reflection. Our results suggest that the city lockdown/self-reflection had the effect of lowering the concentration of PM2.5, resulting in an extension of the period it took to the acute allergic airway inflammation (AAI) for the 10-year-old children.

scholarly journals Discrimination in Ambient Air Pollution Monitoring?

2019 ◽  
Vol 109 ◽  
pp. 277-282 ◽  
Author(s):  
Corbett Grainger ◽  
Andrew Schreiber
Keyword(s):  
Air Quality ◽  
Strategic Behavior ◽  
Ambient Air ◽  
The United States ◽  
Pollution Monitoring ◽  
Ambient Air Pollution ◽  
Monitoring Networks ◽  
Ambient Air Quality ◽  
Air Pollution Monitoring ◽  
Ambient Pollution

In the United States, ambient air quality is regulated through National Ambient Air Quality standards (NAAQS). Enforcement of these standards is delegated to state and sub-state regulators who are also tasked with designing their own monitoring networks for ambient pollution. Past work has found evidence consistent with strategic behavior: local regulators strategically avoid pollution hotspots when siting monitors. This paper assesses whether income and race have historically played a role in monitor siting decisions.

scholarly journals Indoor and Outdoor Air Pollution Monitoring Developments in the Municipality of Thessaloniki – Preliminary Actions from Three European Funded Projects

2019 ◽  
Vol 55 (1) ◽  
pp. 1 ◽  
Author(s):  
Georgios Papastergios ◽  
Paraskevi Tzoumaka ◽  
Apostolos Kelessis
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Well Being ◽  
Pollution Monitoring ◽  
Successful Implementation ◽  
Outdoor Air ◽  
Air Pollution Monitoring ◽  
Outdoor Air Pollution ◽  
The City ◽  
Indoor And Outdoor

Air pollution has been one of the first environmental problems to be addressed by the EU and for this reason clean air is considered essential to good health. Information availability and understanding of the air quality issue is essential part of tackling it with efficiency. Having the latter in mind, the Municipality of Thessaloniki has considered relative environmental actions as an important priority and made significant efforts to include them in its short-term and long-term, already developed, strategies. Through these strategies the Municipality became partner in three important EU funded projects that are dealing with indoor and outdoor air pollution monitoring actions, namely CUTLER, AIRTHINGS, and LIFE SMART IN'AIR. The successful implementation of these projects will add to the knowledge of indoor and outdoor air quality in the City of Thessaloniki, whereas, at the same time, will improve the resilience of the city and the well being of its citizens.

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.

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