scholarly journals A Novel Air Quality Monitoring Unit Using Cloudino and FIWARE Technologies

2019 ◽  
Vol 24 (1) ◽  
pp. 15
Author(s):  
Yolanda Baca Gómez ◽  
Hugo Estrada Esquivel ◽  
Alicia Martínez Rebollar ◽  
Daniel Villanueva Vásquez
Keyword(s):  
Quality Of Life ◽  
Air Quality ◽  
Smart Cities ◽  
Urban Environments ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
Factors Affecting ◽  
Industrial Societies ◽  
The Internet Of Things

Smart City applications aim to improve the quality of life of citizens. Applying technologies of the Internet of Things (IoT) to urban environments is considered as a key of the development of smart cities. In this context, air pollution is one of the most important factors affecting the quality of life and the health of the increasing urban population of industrial societies. For this reason, it is essential to develop applications that allow citizens monitoring the concentration of pollutants and avoid places with high levels of pollution. Due to the increasing use of IoT in different areas, there are arising platforms which deal with the challenges IoT implies, such as FIWARE, which provides technologies to facilitate the development of IoT applications. In this paper, an Air Quality Monitoring Unit using Cloudino and Arduino devices and FIWARE technologies is presented. Through Cloudino and Arduino, the monitoring unit gather data from various sensors and transforms the data in a FIWARE data model. Then, the measurements are sent to the Orion Context Broker (OCB), which is a software component provided by FIWARE. The Orion Context Broker allows to manage and publish the data to be consumed by users and applications.

scholarly journals Promoting Pollution-Free Routes in Smart Cities Using Air Quality Sensor Networks

Sensors ◽  
2018 ◽  
Vol 18 (8) ◽  
pp. 2507 ◽  
Author(s):  
Francisco Ramos ◽  
Sergio Trilles ◽  
Andrés Muñoz ◽  
Joaquín Huerta
Keyword(s):  
Quality Of Life ◽  
Air Quality ◽  
Smart Cities ◽  
Extensive Study ◽  
Current Work ◽  
Quality Level ◽  
Quality Indices ◽  
Big City ◽  
Precautionary Measures

Nowadays, citizens have a huge concern about the quality of life in their cities, especially regarding the level of pollution. Air quality level is of great importance, not only to plan our activities but also to take precautionary measures for our health. All levels of governments are concerned about it and have built their indexes to measure the air quality level in their countries, regions or cities. Taking into account the existing sensor infrastructure within smart cities, it makes possible to evaluate these indices and to know anywhere the level of pollution in real-time. In this scenario, the main objective of the current work is to foster citizens’ awareness about pollution by offering pollution-free routes. To achieve this goal, a technology-agnostic methodology is presented, which allows for creating pollution-free routes across cities depending on the level of pollution in each zone. The current work includes an extensive study of existing air quality indices, and proposes and carries forward to deployment of the defined methodology in a big city, such as Madrid (Spain).

scholarly journals AIR QUALITY MONITORING OF KALABAHI-ALOR’S SEAPORT-EAST OF NUSA TENGGARA

2019 ◽  
Vol 3 (2) ◽  
pp. 130-133
Author(s):  
Rikson Siburian ◽  
Minsyahril Bukit ◽  
Herlince Sihotang ◽  
Saur Lumban Raja ◽  
Minto Supeno ◽  
...  
Keyword(s):  
Air Quality ◽  
Government Regulation ◽  
The Other ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
Other Hand ◽  
The People ◽  
The Government

Evaluation of environment of seaport is needed as well as our responsibility to nature sustainability. The Alor’s seaport belongs to Pelindo III. In order to know the air quality of Alor’s seaport, we did this study. Our aims are to know level quality of air at Alor’s seaport and compare to the government regulation. This study refers to Pararosaniline (SOx), Saltzman (NOx), Particle Calculation (dust) and decibel (noisy) methods. We used four locations, those are A-1 (Entrance gate of PELINDO (8013’09.12”S, 124031’07.21”E)); A-2 (In front of passengers terminal (8013’08.75”S, 124031’01.60”E)); A-3 (Exit  gate Kalabahi’s seaport (8013’08.2”S, 124031’00.87”E)) and A-4 (In front of port of the people (8011’09.12”S, 124031’07.21”E)). Results show that the averages level of SOx, NOx and dust of A-1, A-2 and A-3 are 103.01, 104.65 and 107.47 (µg/Nm3), 37.87, 30.62, and 39.73 (µg/Nm3), 56.64, 47.47 and 50.72 (µg/Nm), respectively. On the other hand, the level of noisy of A-1, A-2, A-3 and A-4 are 68.76, 65.69, 65.20 and 73.60 (dBA), respectively. Base on all of data, we conclude that the air quality of Alor’s seaport is still appropriate according to government regulation (PP. No. 4, 1999).

Performance Analysis of LoRaWAN in an Air Quality Monitoring Applications for Smart Cities

2021 ◽  
Author(s):  
Artur F. da S. Veloso ◽  
Jocines D. F. Silveira ◽  
Mario C. L. Moura ◽  
Jose V. dos Reis ◽  
Ricardo A. L. Rabelo ◽  
...  
Keyword(s):  
Air Quality ◽  
Performance Analysis ◽  
Smart Cities ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
Monitoring Applications

Wireless Access Networks for Smart Cities

2015 ◽  
pp. 266-297 ◽  
Author(s):  
Hervé Rivano ◽  
Isabelle Augé-Blum ◽  
Walid Bechkit ◽  
Khaled Boussetta ◽  
Marco Fiore ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Communication Networks ◽  
Smart Cities ◽  
Main Tool ◽  
Urban Environments ◽  
Access Networks ◽  
Wireless Access ◽  
Health Resource ◽  
Wireless Access Networks

Smart cities are envisioned to enable a vast amount of services in urban environments, so as to improve mobility, health, resource management, and, generally speaking, citizens' quality of life. Most of these services rely on pervasive, seamless and real-time access to information by users on the move, as well as on continuous exchanges of data among millions of devices deployed throughout the urban surface. It is thus clear that communication networks will be the key to enabling smart city solutions, by providing their core support infrastructure. In particular, wireless technologies will represent the main tool leveraged by such an infrastructure, as they allow device mobility and do not have the deployment constraints of wired architectures. In this Chapter, we present different wireless access networks intended to empower future smart cities, and discuss their features, complementarity and interoperability.

Analysis of Ambient Air Quality Status and Trends from 2010 to 2012 in Chengkou County of Chongqing City in China

2013 ◽  
Vol 726-731 ◽  
pp. 1427-1430
Author(s):  
Wen Hua Jiang ◽  
Dao Jin Chen ◽  
Xian Qiong Long
Keyword(s):  
Air Quality ◽  
Southwest China ◽  
Ambient Air ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
Ambient Air Quality ◽  
Monthly Average ◽  
Chongqing City ◽  
Quality Status

The air quality monitoring data from 2010 to 2012 in Chengkou County of Chongqing City in Southwest China was analyzed.The results show that in recent years the air pollutans affecting the air quality in Chengkou County mainly is PM10 and secondly is SO2. The monthly average concentrations of PM10 and SO2 show a U-shape trend with the highest values in January.The average concentrations of PM10 and SO2 are highest in winter and lowest in summer with obvious seasonal changes.The air quality of Chengkou in 2011 and 2011 has been somewhat improved compared with that in 2010.

scholarly journals Air Quality Monitoring System in Thingspeak-Based Applications Using Internet of Things (IOT)

2020 ◽  
Vol 8 ◽  
pp. 34-38
Author(s):  
Samuel Kristiyana ◽  
Aldi Rinaldi
Keyword(s):  
Air Quality ◽  
Internet Of Things ◽  
Monitoring System ◽  
Quality Monitoring ◽  
Graphical Form ◽  
The Internet ◽  
Air Quality Monitoring ◽  
Temperature Detector ◽  
Input Signals ◽  
The Internet Of Things

The monitoring system in this study is a system created to find out data about temperature, humidity, and air quality in a room. This research develops a monitoring system that uses the internet so that the monitoring range becomes wider. By utilizing the Internet of Things (IoT) technology using the thingspeak application integrated with the NodeMCU module ESP8266 features an LM35 temperature sensor that functions as a temperature detector, a DHT11 sensor as a humidity sensor, and an MQ-135 sensor as an air quality detector. These sensors send input signals to the NodeMCU ESP8266 module for processing. The wifi module contained in the NodeMCU ESP8266 module sends the value read by the sensor to the IoT Thingspeak platform which records logging data in graphical form. This system has the potential to be used as an indoor air quality monitoring system to raise awareness about the importance of healthy air quality

scholarly journals Spatiotemporal variability of nitrogen dioxide (NO2) pollution in Manchester (UK) city centre (2017–2018) using a fine spatial scale single-NOx diffusion tube network

2021 ◽  
Author(s):  
Daniel Niepsch ◽  
Leon J. Clarke ◽  
Konstantinos Tzoulas ◽  
Gina Cavan
Keyword(s):  
Air Quality ◽  
Nitrogen Dioxide ◽  
Urban Environments ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
Limit Value ◽  
Air Quality Monitoring Stations ◽  
The Eu ◽  
Diffusion Tube ◽  
Monitoring Stations

AbstractNitrogen dioxide (NO2) is linked to poor air quality and severe human health impacts, including respiratory and cardiovascular diseases and being responsible annually for approximately 23,500 premature deaths in the UK. Automated air quality monitoring stations continuously record pollutants in urban environments but are restricted in number (need for electricity, maintenance and trained operators), only record air quality proximal to their location and cannot document variability of airborne pollutants at finer spatial scales. As an alternative, passive sampling devices such as Palmes-type diffusion tubes can be used to assess the spatial variability of air quality in greater detail, due to their simplicity (e.g. small, light material, no electricity required) and suitability for long-term studies (e.g. deployable in large numbers, useful for screening studies). Accordingly, a one passive diffusion tube sampling approach has been adapted to investigate spatial and temporal variability of NO2 concentrations across the City of Manchester (UK). Spatial and temporal detail was obtained by sampling 45 locations over a 12-month period (361 days, to include seasonal variability), resulting in 1080 individual NO2 measurements. Elevated NO2 concentrations, exceeding the EU/UK limit value of 40 µg m−3, were recorded throughout the study period (N = 278; 26% of individual measurements), particularly during colder months and across a wide area including residential locations. Of 45 sampling locations, 24% (N = 11) showed annual average NO2 above the EU/UK limit value, whereas 16% (N = 7) showed elevated NO2 (> 40 µg m−3) for at least 6 months of deployment. Highest NO2 was recorded in proximity of highly trafficked major roads, with urban factors such as surrounding building heights also influencing NO2 dispersion and distribution. This study demonstrates the importance of high spatial coverage to monitor atmospheric NO2 concentrations across urban environments, to aid identification of areas of human health concern, especially in areas that are not covered by automated monitoring stations. This simple, reasonably cheap, quick and easy method, using a single-NOx diffusion tube approach, can aid identification of NO2 hotspots and provides fine spatial detail of deteriorated air quality. Such an approach can be easily transferred to comparable urban environments to provide an initial screening tool for air quality and air pollution, particularly where local automated air quality monitoring stations are limited. Additionally, such an approach can support air quality assessment studies, e.g. lichen or moss biomonitoring studies.

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