scholarly journals Air Pollution Monitoring and Prediction using Multi View Hybrid Model

2019 ◽  
Vol 8 (6S4) ◽  
pp. 1370-1372 ◽  
Keyword(s):  
Air Pollution ◽  
Hybrid Model ◽  
Base Station ◽  
Sensor Nodes ◽  
Pollution Monitoring ◽  
Mesh Network ◽  
Data Sets ◽  
Air Pollution Monitoring ◽  
Temporal Features ◽  
The City

Pollution monitoring system is used to monitor the air pollution throughout the city, which cause pollution over a specified limit. The sensor nodes are attached to the lamp post. The sensors are organized into clusters and form a mesh network of nodes that provide both single hop and multihop connectivity with the base station. The GPS enabled sensor nodes finds location in order to detect the pollution occurring place. A hybrid model is proposed in this work which combines the spatial and temporal features for prediction. This model use the real time air quality information in a city by measuring the pollution information using sensors and data sets.

National Trace-Element Air Pollution Monitoring Survey Using Epiphytic Lichens

1991 ◽  
Vol 23 (2) ◽  
pp. 139-165 ◽  
Author(s):  
J. E. Sloof ◽  
H. Th. Wolterbeek
Keyword(s):  
Air Pollution ◽  
Trace Element ◽  
Dispersion Model ◽  
Pollution Monitoring ◽  
Deciduous Tree ◽  
Data Sets ◽  
Air Pollution Monitoring ◽  
Geographical Concentration ◽  
National Monitoring ◽  
Concentration Patterns

AbstractTwo national monitoring surveys were carried out within 5 years, using Parmelia sulcata as a biomonitor of trace-element air pollution. The method of sampling was standardized. The lichen samples were analysed by neutron activation analysis. Local variations in element concentrations in lichens from various deciduous tree species from several sampling sites were established. The geographical concentration patterns obtained from the lichen data sets agreed with the element concentration gradients obtained from one dispersion model and measured data of atmospheric concentrations and deposition. Comparison of the two lichen data sets showed the relationship of the geographical concentration patterns with time. Combination of the available data gave insight into the possibility of localization of pollution sources.

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.

Air Pollution Monitoring Using WSN in Cement Factory

2018 ◽  
Vol 15 (2) ◽  
pp. 616-620 ◽  
Author(s):  
G. Anitha ◽  
V. Vijayakumari ◽  
S. Malathy ◽  
S. Jaipriya
Keyword(s):  
Air Pollution ◽  
Human Population ◽  
Industrial Revolution ◽  
Sensor Nodes ◽  
Pollution Monitoring ◽  
Wireless Sensor ◽  
Air Pollution Monitoring ◽  
The World ◽  
Pollutant Level ◽  
Cement Factories

Industrial revolution has started to rule the world in all aspects. As a result of this, pollutant level of contagious gas in the atmosphere is increasing at an alarming rate. The pollutants in the atmosphere create imbalance in ecosystem which in turn affects the health of human population. Although there existmany methodologies to check the pollutant level in atmosphere, it still remains a challenge for certain cement factories and chemical industries to keep a check on it. Such imbalances can be controlled by using appropriate air pollution monitoring system. OPSIS, Uras26, Magnos27 and CODEL are the methods which exist in cement factories to check the pollutant level during the emission from chimney only. Wireless Sensor Network is a versatile technology that can sense, monitor, measure, and gather information. The decision can be made from the collected information. This paper proposes how sensor nodes are deployed in cement factories at various stages of manufacturing process, how the pollutant is measured and conveyed to authority through a communication medium.

scholarly journals Some benefits of improving urban air quality from the perspective of Ho Chi Minh City people

2020 ◽  
Vol 211 ◽  
pp. 01005
Author(s):  
Nguyen Tan Danh ◽  
Le Minh Quang
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Pollution Monitoring ◽  
Ho Chi Minh City ◽  
Asian Countries ◽  
Uv Index ◽  
Air Pollution Monitoring ◽  
The People ◽  
Hot Weather ◽  
The City

In addition to the hot weather with an extremely high UV index, the air quality in some big cities of Vietnam also alarming. Air pollution will have a large impact on urban development and, above all, people’s health. The results of air pollution monitoring over the past time in Ho Chi Minh City in some locations show that dust pollution and fine dust concentration (PM2.5) in the air of the Department of Natural Resources and Environment of Ho Chi Minh City are still high and at an alarming level. This is a problem of Ho Chi Minh City, Vietnam, and a matter of concern in other countries, especially Asian countries. A few years ago, this issue was mentioned, but now it still causes frustration. The article discusses the factors that affect the air quality, and for that reason the people of the city in particular and this study must take this issue seriously and need to have effective measures.

A CLUSTERED WIRELESS SENSOR NETWORK BASED AIR POLLUTION MONITORING SYSTEM WITH SWARM INTELLIGENCE BASED DATA AGGREGATION

2016 ◽  
Vol 78 (7) ◽  
Author(s):  
Murali, S. ◽  
Jaisankar, N.
Keyword(s):  
Air Pollution ◽  
Real Time ◽  
Monitoring System ◽  
Data Aggregation ◽  
Hybrid Genetic Algorithm ◽  
Sensor Nodes ◽  
Pollution Monitoring ◽  
Coarse Grained ◽  
Communication Overhead ◽  
Air Pollution Monitoring

Air pollution has significant influence on the concentration of constituents in the atmosphere leading to effects like global warming and acid rains. The disproportion of the constituents in the air or atmosphere is monitored using the air pollution monitoring system. The classical air pollution monitoring system uses the costly instruments for monitoring the environment at fixed locations. Most of the traditional monitoring system is coarse- grained and costlier during the real time implementation. Some system have problems such as communication overhead, time and power consuming. The efficient clustering based data aggregation is proposed in this paper for reducing the communication overhead and efficiently monitoring the environment. The sensor nodes in the networks are grouped into clusters and the cluster head is selected using the optimization algorithm such as firefly algorithm. The data aggregation using the hybrid genetic algorithm is also proposed in this paper for efficient data transmission by reducing the communication overhead. The simulation results shows that the performance of the proposed methodology is better than the existing one and the proposed system collects the reliable source of real time fine-grain pollution data.

scholarly journals Hardware Efficient Solutions for Wireless Air Pollution Sensors Dedicated to Dense Urban Areas

2020 ◽  
Vol 12 (5) ◽  
pp. 776
Author(s):  
Marzena Banach ◽  
Rafał Długosz ◽  
Jolanta Pauk ◽  
Tomasz Talaśka
Keyword(s):  
Air Pollution ◽  
Urban Areas ◽  
Smart Cities ◽  
Real Data ◽  
High Amplitude ◽  
Base Station ◽  
Pollution Monitoring ◽  
Process Data ◽  
Signal Processing Algorithm ◽  
Air Pollution Monitoring

This paper proposes novel solutions for the application of air pollution monitoring systems in so called ‘smart cities’. A possibility of the implementation of a relatively dense network of wireless air pollution sensors that can collect and process data in real time was the motive behind our research and investigations. We discuss the concept of the wireless sensor network, taking into account the structure of the urban development in cities and we present a novel signal processing algorithm that may be used to control the communication scheme between particular sensors and an external network. We placed a special emphasis on the computational complexity to facilitate the implementation directly at the transistor level of particular sensors. The algorithm was verified using real data obtained from air pollution sensors installed in Krakow, Poland. To ensure sufficient robustness of the variability of input data, we artificially added high amplitude noise to the real data we obtained. This paper demonstrates the performance of the algorithm. This algorithm allows for the reduction of the noise amplitude by 23 dB and enables a reduction of the number of wireless communication sessions with a base station (BS) by 70%–80%. We also present selected measurement results of a prototype current-mode digital-to-analogue converter to be used in the sensors, for signal resolutions up to 7 bits.

scholarly journals Development of a low-cost outdoor carbon monoxide analyzer applied to the city of Oran, Algeria.

2020 ◽  
Author(s):  
Farid RAHAL ◽  
Noureddine BENABADJI ◽  
Mohamed BENCHERIF ◽  
Mohamed Menaouer BENCHERIF
Keyword(s):  
Air Pollution ◽  
Carbon Monoxide ◽  
Air Quality ◽  
Electrochemical Sensor ◽  
Low Cost ◽  
Atmospheric Pollutants ◽  
Pollution Monitoring ◽  
Coefficient Of Determination ◽  
Air Pollution Monitoring ◽  
The City

Abstract In Algeria, air pollution is classified as a major risk by the law. However, this risk is underestimated because there is no operational network for measuring air quality on a continuous basis.Despite the heavy investments made to equip several cities with these measurement systems, they are out of order due to a lack of continuous financial support.The alternative to the absence of these air pollution measurement networks can come from the recent development of electrochemical sensor technologies for air quality monitoring which arouses a certain interest because of their miniaturization, low energy consumption and low cost.We developed a low-cost outdoor carbon monoxide analyzer called APOMOS (Air pollution Monitoring System) based on electrochemical sensor managed by microcontroller. An application developed with the Python language makes it possible to manage process and analyze the collected data.In order to validate the APOMOS system, the recorded measurements are compared with measurements taken by a conventional analyzer.Comparison of the measurements resulting from conventional analyzer and those resulting from the APOMOS system gives a coefficient of determination of 98.39 %.Two versions of this system have been designed. A fixed version and another embedded, equipped with a GPS sensor. These 2 variants were used in the city of Oran in Algeria to measure the concentration of carbon monoxide continuously.The targeted pollutant is carbon monoxide. However, the design of the APOMOS system allows its evolution in an easy way in order to integrate other sensors concerning the various atmospheric pollutants.

scholarly journals SmartBike: an IoT Crowd Sensing Platform for Monitoring City Air Pollution

2017 ◽  
Vol 7 (6) ◽  
pp. 3602 ◽  
Author(s):  
Fulvio Corno ◽  
Teodoro Montanaro ◽  
Carmelo Migliore ◽  
Pino Castrogiovanni
Keyword(s):  
Air Pollution ◽  
Smart City ◽  
Pollution Monitoring ◽  
Air Pollution Monitoring ◽  
Crowd Sensing ◽  
Air Quality Measurements ◽  
Service Information ◽  
Sensing Platform ◽  
Environmental Monitoring System ◽  
The City

<p>In recent years, the Smart City concept is emerging as a way to increase efficiency, reduce costs, and improve the overall quality of citizen life. The rise of Smart City solutions is encouraged by the increasing availability of Internet of Things (IoT) devices and crowd sensing technologies. This paper presents an IoT Crowd Sensing platform that offers a set of services to citizens by exploiting a network of bicycles as IoT probes. Based on a survey conducted to identify the most interesting bike-enabled services, the SmartBike platform provides: real time remote geo-location of users’ bikes, anti-theft service, information about traveled route, and air pollution monitoring. The proposed SmartBike platform is composed of three main components: the SmartBike mobile sensors for data collection installed on the bicycle; the end-user devices implementing the user interface for geo-location and anti-theft; and the SmartBike central servers for storing and processing detected data and providing a web interface for data visualization. The suitability of the platform was evaluated through the implementation of an initial prototype. Results demonstrate that the proposed SmartBike platform is able to provide the stated services, and, in addition, that the accuracy of the acquired air quality measurements is compatible with the one provided by the official environmental monitoring system of the city of Turin. The described platform will be adopted within a project promoted by the city of Turin, that aims at helping people making their mobility behavior more sustainable.</p>

scholarly journals Air pollution monitoring with secure low-cost Vehicular Sensor Networks

2019 ◽  
Vol 29 ◽  
pp. 03007
Author(s):  
György KolumbÁn-Antal ◽  
Vladko Lasak ◽  
Razvan Bogdan ◽  
Bogdan Groza
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Public Transportation ◽  
Low Cost ◽  
Sensor Nodes ◽  
Pollution Monitoring ◽  
Measuring System ◽  
Weather Data ◽  
Transmission Protocol ◽  
Air Pollution Monitoring

Counteracting the effects of air quality degradation is one of the main challenges in large cities today. To achieve such a goal, the first step is to control the emissions of various pollutant gases which in turn requires their concentrations to be measured such that proper methods can be applied. In this work we present a low cost urban air pollution monitoring system which we developed as proof-of-concept in Timisoara, Romania. The proposed solution is a Vehicular Sensor Network (VSN), with affordable midclass sensor nodes being installed on moving vehicles, ideally on the public transportation busses. The system measures temperature, humidity, the concentration of CO2 and dust, along with Volatile Organic Compounds (VOC). The aim of collecting weather data is to build correlations between air pollution levels and different weather conditions. In addition to technical constraints for measuring air quality, one of the challenges that we address is to implement secure transmissions between the devices. This raises several difficulties on microcontrollers that we use due to their low memory and computational resources. To answer both privacy and security issues, the proposed data transmission protocol of the measuring system, builds upon a modified version of the Station to Station (STS) protocol which allows secure tunnelling in an anonymous manner.

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