scholarly journals Air Pollution Monitoring System

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.

Author(s):  
Ameera Ali Al-Fazari ◽  
Mahra Said Ahmed Al-Risi ◽  
Rasha AbdulWahhab

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.


2022 ◽  
Vol 14 (1) ◽  
pp. 584
Author(s):  
Priyanka Nadia deSouza

Low-cost sensors are revolutionizing air pollution monitoring by providing real-time, highly localized air quality information. The relatively low-cost nature of these devices has made them accessible to the broader public. Although there have been several fitness-of-purpose appraisals of the various sensors on the market, little is known about what drives sensor usage and how the public interpret the data from their sensors. This article attempts to answer these questions by analyzing the key themes discussed in the user reviews of low-cost sensors on Amazon. The themes and use cases identified have the potential to spur interventions to support communities of sensor users and inform the development of actionable data-visualization strategies with the measurements from such instruments, as well as drive appropriate ‘fitness-of-purpose’ appraisals of such devices.


Atmosphere ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 290
Author(s):  
Akvilė Feiferytė Skirienė ◽  
Žaneta Stasiškienė

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.


Author(s):  
Aneri A. Desai

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.


2019 ◽  
Vol 55 (1) ◽  
pp. 1 ◽  
Author(s):  
Georgios Papastergios ◽  
Paraskevi Tzoumaka ◽  
Apostolos Kelessis

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.


Author(s):  
Aarti Rani ◽  

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.


Author(s):  
Manoj Gurung

Abstract: Degradation of air quality, like climate change and global warming, has become an all-encompassing existential hazard to humanity and natural life. Exposure to severely polluted air on a regular basis causes pulmonary disorders and contributes to severe allergies and asthma. According to studies, more than 10 million people die each year as a result of irregularities produced directly or indirectly by air pollution. The work of Lelieveld et al. [1] sheds light on the gravity of the problem. It is estimated that by 2050, the worldwide premature mortality from air pollution will exceed 6.6 million fatalities per year (358000 from ozone, the rest from PM 2.5) [1]. As a result, we decided to focus our study on improving indoor air quality. Despite the fact that there are numerous indoor air purifiers on the market, their cost belies their effectiveness, and the effective ones are far too expensive for working-class people to afford [2]. In order to address this issue, we created an automated Internet of Things (IoT) based air filtration system that uses an automated air purifier which is triggered when air quality falls below WHO criteria. Our initiative intends to improve indoor air quality by utilizing the most cost-effective and efficient modules available. Keywords: Indoor Air Pollution, Air Purifier, IAQ, Sharp Dust Sensor GP2Y1010AU0F, IoT, Particulate Matter (PM), HEPA Filter


Humankind, moving to a period centered upon improvement has overlooked the significance of supportability and has been the real guilty party behind the rising Pollution levels in the world's air among all other living life forms. The Pollution levels at certain spots have come to such high degrees that they have begun hurting our very own It will being. An IoT based Air Pollution observing framework incorporates a MQ Series sensor interfaced to a Node MCU outfitted with an ESP8266 WLAN connector to send the sensor perusing to a Thing Speak cloud. Further extent of this work incorporates an appropriate AI model to foresee the air Pollution level and an anticipating model, which is fundamentally a subset of prescient displaying. As age of poisonous gases from ventures, vehicles and different sources is immensely expanding step by step, it winds up hard to control the dangerous gases from dirtying the unadulterated air. In this paper a practical air Pollution observing framework is proposed. This framework can be utilized for observing Pollutions in demeanor of specific territory and to discover the air peculiarity or property examination. The obligated framework will concentrate on the checking of air poisons concentrate with the assistance of mix of Internet of things with wireless sensor systems. The investigation of air quality should be possible by figuring air quality index (AQI)


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