scholarly journals Decision Support Algorithm Based on the Concentrations of Air Pollutants Visualization

Sensors ◽  
2020 ◽  
Vol 20 (20) ◽  
pp. 5931
Author(s):  
Ekaterina Svertoka ◽  
Mihaela Bălănescu ◽  
George Suciu ◽  
Adrian Pasat ◽  
Alexandru Drosu
Keyword(s):  
Decision Support ◽  
Air Quality ◽  
Quality Index ◽  
Environmental Parameters ◽  
Consumer Involvement ◽  
Air Quality Index ◽  
Environmental Data ◽  
Decision Algorithm ◽  
Average User

As medical technologies are continuously evolving, consumer involvement in health is also increasing significantly. The integration of the Internet of Things (IoT) concept in the health domain may improve the quality of healthcare through the use of wearable sensors and the acquisition of vital and environmental parameters. Currently, there is significant progress in developing new approaches to provide medical care and maintain the safety of the life of the population remotely and around the clock. Despite the standards for emissions of harmful substances into the atmosphere established by the legislation of different countries, the level of pollutants in the air often exceeds the permissible limits, which is a danger not only for the population but also for the environment as a whole. To control the situation an Air Quality Index (AQI) was introduced. For today, many works discuss AQI, however, most of them are aimed rather at studying the methodologies for calculating the index and comparing air quality in certain regions of different countries, rather than creating a system that will not only calculate the index in real-time but also make it publicly available and understandable to the population. Therefore we would like to present a decision support algorithm for a solution called “Environmental Sensing to Act for a Better Quality of Life: Smart Health” with the primary goal of ensuring the transformation of raw environmental data collected by special sensors (data which typically require scientific interpretation) into a form that can be easily understood by the average user; this is achieved through the proposed algorithm. The obtained result is a system that increases the self-awareness and self-adaptability of people in environmental monitoring by offering easy to read and understand suggestions. The algorithm considers three types of parameters (concentration of PM10 (particulate matter), PM2.5, and NO2) and four risk levels for each of them. The technical implementation is presented in a step-like procedure and includes all the details (such as calculating the Air Quality Index—AQI, for each parameter). The results are presented in a front-end where the average user can observe the results of the measurements and the suggestions for decision support. This paper presents a supporting decision algorithm, highlights the basic concept that was used in the development process, and discusses the result of the implementation of the proposed solution.

Ambient Air Quality Monitoring Studies in Four Specific Location of Tamilnadu, India

2019 ◽  
pp. 677-683
Author(s):  
Mageshkumar P ◽  
Ramesh S ◽  
Angu Senthil K
Keyword(s):  
Air Quality ◽  
Quality Index ◽  
High Volume ◽  
Ambient Air ◽  
Quality Parameters ◽  
Air Quality Index ◽  
Gaseous Pollutants ◽  
Ambient Air Quality ◽  
Air Sampler

A comprehensive study on the air quality was carried out in four locations namely, Tiruchengode Bus Stand, K.S.R College Campus, Pallipalayam Bus Stop and Erode Government Hospital to assess the prevailing quality of air. Ambient air sampling was carried out in four locations using a high volume air sampler and the mass concentrations of PM10, PM2.5, SO2, NOX and CO were measured. The analyzed quality parameters were compared with the values suggested by National Ambient Air Quality Standards (NAAQS). Air quality index was also calculated for the gaseous pollutants and for Particulate Matters. It was found that PM10 concentration exceeds the threshold limits in all the measured locations. The higher vehicular density is one of the main reasons for the higher concentrations of these gaseous pollutants. The air quality index results show that the selected locations come under moderate air pollution.

IoT Based Smart Monitoring of Environmental Parameters and Air Quality Index

2021 ◽  
Author(s):  
Udit Mittal ◽  
Abhilasha Pawar ◽  
Gunjan Varshney ◽  
Yash Yadav ◽  
Rahul Sharma ◽  
...  
Keyword(s):  
Air Quality ◽  
Quality Index ◽  
Environmental Parameters ◽  
Air Quality Index

scholarly journals Effect of COVID-19 lockdown on air quality and solid waste generation: a case study in a metropolitan city, Mumbai, India

2020 ◽  
Vol 7 (11) ◽  
pp. 4467
Author(s):  
Joshua Anish S. Selwyn ◽  
Monali B. Kadam ◽  
Snigdha Thakur
Keyword(s):  
Air Quality ◽  
Solid Waste ◽  
Pollution Control ◽  
Air Pollutants ◽  
Quality Index ◽  
Air Quality Index ◽  
Waste Generation ◽  
Control Board ◽  
Solid Waste Generation

Background: There is limited information describing the change on quality of air and solid waste generation if there is limited and efficient use of vehicles and the shutdown of industries producing hazardous air pollutants that have been achieved by the lockdown. Study assessed changes in the quality of air and solid waste generation due to Lockdown.Methods: It was an analytical study where the data is received from Maharashtra Pollution Control Board data for Mumbai during the period from December 2019 to July 2020. Analysis of Air pollutants like PM10, SO2, NO2, Air quality index, and solid waste generated are taken into consideration.Results: Findings of air quality data has been analysed from December to July. Where the mean air quality index before the lockdown was 251 which is very unhealthy and during lockdown was 62 which is moderate which is a 75% reduction in the pollutants and the solid waste generation before the lockdown was 6338.63 Metric tons per day which have been reduced to 4121.23 Metric tons per day which is a reduction of 34.98 %.Conclusions: This study provides information about how the environment would heal itself if there is a restriction on the use of vehicles and shutting down factories producing hazardous pollutants. This would provide the evidence for the Pollution Control Board to implement policy to improve air quality and solid waste generation, which would have a positive impact on human health and ecosystem.

scholarly journals Evaluation of the Indoor Air Quality in Governmental Oversight Supermarkets (Co-Ops) in Kuwait

2019 ◽  
Vol 9 (22) ◽  
pp. 4950
Author(s):  
Almutairi ◽  
Alsanad ◽  
Alhelailah
Keyword(s):  
Air Quality ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Quality Index ◽  
Sick Building Syndrome ◽  
Environmental Parameters ◽  
Limit Set ◽  
Sick Building ◽  
Environmental Agencies

Examining the indoor air environment of public venues, especially populated supermarkets such as Co-Ops in Kuwait, is crucial to ensure that these venues are safe from indoor environmental deficits such as sick building syndrome (SBS). The aim of this study was to characterize the quality of the indoor air environment of the Co-Ops supermarkets in Kuwait based on investigation of CO2, CO, NO2, H2S, TVOCs, and NMHC. On-site measurements were conducted to evaluate these parameters in three locations at the selected Co-Ops, and the perceived air quality (PAQ) was determined to quantify the air’s pollutants as perceived by humans. Moreover, the indoor air quality index (AQI) was constructed for the selected locations, and the ANOVA test was used to analyze the association between the observed concentrations among these environmental parameters. At least in one spot at each Co-Op, the tested environmental parameters exceeded the threshold limit set by the environmental agencies. The PAQ for Co-Op1, 2, and 3 are 1.25, 1.00, and 0.75 respectively. CO2 was significantly found in an association with CO, H2S, and TVOCs, and its indoor-outdoor concentrations were significantly correlated with R2 values ranges from 0.40 to 0.86 depending on the tested location.

scholarly journals Air Quality Index: Case of One-Day Monitoring of 253 Urban and Suburban Towns in Nigeria

2021 ◽  
Vol 8 (1) ◽  
pp. 4
Author(s):  
Francis Abulude ◽  
Ifeoluwa Abulude ◽  
Samuel Oluwagbayide ◽  
Segun Afolayan ◽  
Deborah Ishaku
Keyword(s):  
Air Quality ◽  
Environmental Protection Agency ◽  
Quality Index ◽  
Air Quality Index ◽  
The Public ◽  
Ogun State ◽  
Border Town ◽  
Air Pollution Impacts ◽  
Pollution Impacts

Government departments use the air quality index (AQI) to inform the public about how unhealthy the air is now or may become in the future. As the AQI increases, so do health threats. In addition to reporting daily air quality, it is also a measure of how air pollution impacts one’s health over a limited period of time. The AQI was created to assist people in understanding how local air quality affects their health. Therefore, the aim of this study was to assess the air quality of one day of 253 towns in Nigeria, thereby determining the health threat in these towns. The data were collected from the Tutiempo Network’s regular dataset by the Environmental Protection Agency (EPA). Data on all of the major pollutants (O3, PM2.5, PM10, CO, NO, SO2) were collected and statistical analysis was performed. Kura (Kano State), a town in northern Nigeria, recorded the highest level of 184, while Idiroko, a border town (Nigeria–Benin Republic) in Ogun State, had the lowest value of 41. Kura was portrayed as unhealthy, while Idiroko was portrayed as healthy, implying that Idiroko air poses little to no danger, while Kura air showed that certain people of the general public, as well as members of sensitive groups, could encounter more severe health effects.

scholarly journals Analisis Framing Detik.com dan Kompas.com Terhadap Pemberitaan Kualitas Udara Jakarta Terburuk di Dunia

Koneksi ◽  
2020 ◽  
Vol 3 (2) ◽  
pp. 366
Author(s):  
Nishya Gavrila ◽  
Farid Rusdi
Keyword(s):  
Air Quality ◽  
Moral Judgment ◽  
Quality Index ◽  
Poor Quality ◽  
Air Quality Index ◽  
Treatment Recommendation ◽  
The Poor ◽  
The World ◽  
The Government

On July 29, 2019, Jakarta's air quality was ranked first on the AirVisual.com website with the worst air quality statement in the world. According to AirVisual.com, Jakarta's Air Quality Index (AQI) stands at 188, which means the air quality in Jakarta is not healthy. On the same date, Detik.com and Kompas.com reported on the poor quality of Jakarta's air. The reason the author chose the latter is because based on the Alexa.com site, both news portals have the highest number of visitor readers in Indonesia. This study aims to determine and analyze Detik.com and Kompas.com in framing unhealthy air quality in Jakarta. The approach in this study uses a constructivist paradigm. by using Robert N. Entman's framing model that defines problems, diagnoses causes, makes moral judgment and recommendation treatment. From the results of this study, Detik.com further explained the response of Anies Baswedan regarding poor air quality in Jakarta, while on Kompas.com that poor air quality in Jakarta was a challenge for the government and the government could be convicted if it continued. Pada tanggal 29 Juli 2019, kualitas udara Jakarta menempati peringkat pertama di situs AirVisual.com dengan pernyataan kualitas udara terburuk di dunia. Menurut AirVisual.com, Air Quality Index (AQI) Jakarta berada pada angka angka 188, yang artinya kualitas udara di Jakarta tidak sehat. Pada tanggal yang sama Detik.com dan Kompas.com memberitakan tentang buruknya kualitas udara Jakarta. Alasan penulis memilih kedua tersebut karena berdasarkan situs Alexa.com, kedua portal berita tersebut memiliki jumlah pengunjung pembaca terbanyak di Indonesia. Penelitian ini bertujuan untuk mengetahui dan menganalisis Detik.com dan Kompas.com dalam membingkai kualitas udara di Jakarta yang tidak sehat.Pendekatan dalam penelitian ini memakai paradigma konstruktivis, dengan menggunakan framing model Robert N. Entman yakni define problems, diagnose cause, make moral judgement dan treatment recommendation. Dari hasil penelitian ini, Detik.com lebih menjelaskan tanggapan dari Anies Baswedan terkait buruknya kualitas udara Jakarta, sementara pada Kompas.com bahwa buruknya kualitas udara di Jakarta merupakan tantangan pemerintah dan pemerintah bisa dipidana jika terus dibiarkan.

Leveraging Fog Computing and Deep Learning for Building a Secure Individual Health-Based Decision Support System to Evade Air Pollution

2020 ◽  
pp. 380-406
Author(s):  
Chitra P. ◽  
Abirami S.
Keyword(s):  
Air Pollution ◽  
Deep Learning ◽  
Decision Support ◽  
Health Status ◽  
Air Quality ◽  
Decision Support System ◽  
Support System ◽  
Quality Index ◽  
Air Quality Index ◽  
Individual Health

Globalization has led to critical influence of air pollution on individual health status. Insights to the menace of air pollution on individual's health can be achieved through a decision support system, built based on air pollution status and individual's health status. The wearable internet of things (wIoT) devices along with the air pollution monitoring sensors can gather a wide range of data to understand the effect of air pollution on individual's health. The high-level feature extraction capability of deep learning can extract productive patterns from these data to predict the future air quality index (AQI) values along with their amount of risks in every individual. The chapter aims to develop a secure decision support system that analyzes the events adversity by calculating the temporal health index (THI) of the individual and the effective air quality index (AQI) of the location. The proposed architecture utilizes fog paradigm to offload security functions by adopting deep learning algorithms to detect the malicious network traffic patterns from the benign ones.

scholarly journals Analysis of Ambient Air Quality Based On Exceedance Factor and Air Quality Index for Siliguri City, West Bengal

2020 ◽  
pp. 236-246 ◽  
Author(s):  
Subham Roy ◽  
Nimai Singha
Keyword(s):  
Air Quality ◽  
Quality Index ◽  
Ambient Air ◽  
Air Quality Index ◽  
National Standard ◽  
Pollution Level ◽  
Pm2.5 And Pm10 ◽  
The City ◽  
Exceedance Factor

Bad air is one of the key concerns for most of the urban centres today, and Siliguri is no exceptions to this. In order to assess the air quality of Siliguri, Exceedance factor (EF) method was applied based on the average annual concentration of the pollutants named as; NO2, SO2, PM2.5 and PM10 and it is found that PM2.5 and PM10 are the major pollutants that pose a severe threat for the city. After applying the EF method, it is found that the values of PM2.5 was between moderate to high pollution level and for PM10 it falls under high to critical pollution level. On the other hand, the concentration of NO2 and SO2 falls under moderate to low pollution level. Through trend analysis of the various pollutants, it is found that their concentration was varying in nature. In case of PM10, the trend shows high concentration which exceeds national standard; whereas PM2.5 shows its concentration near towards violating the national standard soon if not checked. In contrast, trends of NO2 and SO2 were recorded lower than the national standard. The present situation of ambient air of Siliguri was analyzed based on Air Quality Index which reveals that air quality of the city can be classified into two seasons, i.e. clean air period (from April to October) and polluted period (from November to March). Lastly, the annual trends of PM2.5 and PM10 were constructed as they are the major pollutants, and it shows their skewed nature during winter months which results in smog episodes. It unveils how critical the situation of air quality of Siliguri became especially during winter months which seek immediate attention. Thus the study tries to present a vivid scenario about the present air quality of Siliguri, which concludes with some of the suggestions to restrain the air quality.

scholarly journals Air Quality Index: A Case of One-Day Monitoring in 253 Nigerian Urban and Suburban Towns

2021 ◽  
Author(s):  
Francis Olawale Abulude ◽  
I. A. Abulude ◽  
S. D. Oluwagbayide ◽  
S. D. Afolayan ◽  
D Ishaku
Keyword(s):  
Air Quality ◽  
Environmental Protection Agency ◽  
Quality Index ◽  
Air Quality Index ◽  
Data Set ◽  
The Public ◽  
Ogun State ◽  
Border Town ◽  
Pollution Impacts

Abstract Government departments use the air quality index (AQI) to inform the public about how unhealthy the air is now or may become in the future. As the AQI increases, so do the health threats. It is a daily air quality index that is used to report on air quality. In addition, a measure of how air pollution impacts one's health over a limited period of time. The AQI was created to assist people in understanding how local air quality affects their health. Therefore the aim of the study was to assess one-day air quality of 253 towns in Nigeria, thereby determining the health threat in these towns. The data was collected from the Tutiempo Network's regular data set by the EPA Environmental Protection Agency. Data on all of the major pollutants (O3, PM2.5, PM10, CO, NO, SO2) was collected and statistical analysis was performed. Kura (Kano State), a town in northern Nigeria, recorded the highest level of 184, while Idiroko, a border town (Nigeria-Benin Republic) in Ogun State, had the least value of 41. Kura was portrayed as unhealthy, while Idiroko was portrayed as healthy, implying that Idiroko air poses little to no danger, while Kura air showed that certain people of the general public, as well as members of sensitive groups, could encounter more severe health effects.

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