Data Analytics on Real-Time Air Pollution Monitoring System Derived from a Wireless Sensor Network

Fuertes, Walter; Cadena, Alyssa; Torres, Jenny; Benítez, Diego S.; Tapia, Freddy; Toulkeridis, Theofilos

doi:10.1007/978-3-030-11890-7_6

Cited by 8 publications

(3 citation statements)

References 18 publications

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“…Based on scientific studies, there have been several climate and temperature changes since the existence of humans, and also significant rapid climate changes during the current Holocene (Mayewski et al, 2004). Such climate fluctuations, even the abrupt ones, seem to have been triggered by changes in earth orbital insolation, volcanic aerosols and associated albedo feedback processes rather than by a significant increase of antrophogenic greenhouse gases (Crowley et al, 1993;Rampino and Self, 1993;Overpeck et al, 1997;Crowley, 2000;Atwell, 2001;Bay et al, 2004;Christensen et al, 2019;Guanochanga et al, 2018;Fuertes et al, 2019).…”

Section: Resultsmentioning

confidence: 99%

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2020

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After a collaborative and uninterrupted work, the UPS has continued to improve one more year as a Research University, and has gone from the position 6,611 in the world and 13 in Ecuador (Webometrics, 2013) to the position 2627 (Webometrics, 2020) worldwide, it is the 170 on the continent and 7 in Ecuador. The continuous improvement of all teams and the strategic vision have made progress in the World Ranking, allowing to go to 3984 positions in 7 years and 366 new positions compared to 2019. Within this global strategy of improvement of the UPS as a Research University, LA GRANJA, belonging to the area of Life Sciences, was the first university publication of Ecuador to be included in SCOPUS, Elsevier publishing house and indexed in the Emerging Source Citation Index of the Web of Science (WOS). This edition presents articles by authors from 5 countries and 16 Universities and Research Centers. We started this number 31 with the topic of weather monitoring, in an effort between the Sciences Department of Environmental Systems of Switzerland and Universidad de Cuenca, led by Dr. Ryan Padrón and his excellent team. In addition, researchers from Universidad de las Fuerzas Armadas, led by Teófilos Toulkeridis, analyze the problem of perceptions in the important and current topic of Climate Change.

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Section: Resultsmentioning

confidence: 99%

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2020

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“…In [40] authors analyzed large datasets derived from WSN based real-time air pollution monitoring system . Different decision-making strategies were devised after applying business intelligence and data mining techniques on the data.…”

Section: Related Researchmentioning

confidence: 99%

A Novel Association Rule-Based Data Mining Approach for Internet of Things Based Wireless Sensor Networks

et al. 2020

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Wireless Sensor Network (WSN) is one of the fundamental technologies used in the Internet of Things (IoT) which is deployed for diverse applications to carry out precise real-time observations. The limited resources of WSN with massive volume of fast-flowing IoT data make the aggregation and analytics of data more challenging. Recently, data mining-based solutions have been proposed to effectively handle the data being generated by the sensors and to analyze the data patterns for deducing the required information from it. The increasing need of these techniques motivated us to propose a distributed and efficient data mining technique that not only handles the massive and rapidly generated data by the nodes, but also increases the life span of the network. In this paper, we propose a novel scheme for the IoT based WSN that mines the sensor data using association rule without moving it to any Cluster Head (CH) or Base Station (BS). The new proposed scheme enables sensors to perform computations locally and only the minimum higher-level statistical summaries of the data at Cluster Members (CMs) are exchanged with their CH. This considerably reduces the communication overhead which ultimately prolongs the network lifetime. The proposed scheme is evaluated via extensive simulations and the results obtained demonstrate that the integration of the proposed scheme in the existing protocols significantly reduces the communication overhead which ultimately prolongs the network lifetime and stability.

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“…In addition, other Geographic Information Systems (GIS) tools are also used in order to visualize air pollution problem of the DMQ and establish the major areas of concentration and risk. The GIS techniques have been applied in order to analyze spatial and temporal distribution of air pollutants (Chiarazzo, Coppola et al, 2014;Deng et al, 2011;Fuertes et al, 2019;Henshaw et al, 2004;Jensen et al, 2001;Kumar et al, 2016;Liu & Ichinose, 2017;Liu et al, 2018;Maantay, 2007;Marquez & Smith, 1999;Sohrabinia & Khorshiddoust, 2007;Streets et al, 2013;van Westen, 2004). Interpolation applications have been generated by several studies (Kim et al, 2014;Whitworth et al, 2011;Wong et al, 2004), as well as those of applications of GIS and hedonic prices (Azmi et al, 2012;Bucsela et al, 2010;Cebula, 2009;Chen & Jin, 2019;Krotkov et al, 2016;Liu & Ichinose, 2017;Richter et al, 2004).…”

Section: Introductionmentioning

confidence: 99%

Valuing the Impact of Air Pollution in Urban Residence Using Hedonic Pricing and Geospatial Analysis, Evidence From Quito, Ecuador

Borja-Urbano

Rodríguez-Espinosa

Luna-Ludeña

et al. 2021

Air, Soil and Water Research

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Air pollution is one of the hazardous effects of urbanization. Hereby, one the most polluted cities in Ecuador is the Metropolitan District of Quito (DMQ). This study attempts to determine the marginal willingness to pay for a cleaner air in the DMQ using the impact of air pollutants on price properties. Spatial interpolation techniques visualized pollutant concentrations in the DMQ. Additionally, a hedonic price model estimated air pollution impact on properties. Results demonstrated hazard levels for at least three pollutants, being Particulate Matter PM2.5, Nitrogen Dioxide NO2, and Sulfur Dioxide SO2. Subsequently, the economic impact on the house market was statistically significant with a decrease in property value between 1.1% and 2.8%. These drop of value between 1,846.20 up to 4,984.74 US$ (United States Dollars) represents a substantial loss in property value for the DMQ and loss of revenues for the city.

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Data Analytics on Real-Time Air Pollution Monitoring System Derived from a Wireless Sensor Network

Cited by 8 publications

References 18 publications

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A Novel Association Rule-Based Data Mining Approach for Internet of Things Based Wireless Sensor Networks

Valuing the Impact of Air Pollution in Urban Residence Using Hedonic Pricing and Geospatial Analysis, Evidence From Quito, Ecuador

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