IoT for Waste Management

Author(s):  
Jaganthan Thirumal ◽  
Usha Kingsly Devi ◽  
Dynisha S.

Smart cities incorporate information and communication technology to enhance the quality and performance of urban services. The element of smart cities includes physical infrastructure and IoT technology, which gives a framework, methodology, technology, and management solution and efficient waste handling and reduction with the assistance of software analysis tools. It provides effective environmental resource flow integration. IoT system provides a digital access to waste management. This system uses online smart monitor sensors that monitor the performance of water supply and effluent handling system utilizing a cloud-based platform. This enhances real-time planned performance and increases life-cycle equipment. This technique enhances the synergistic use of resources due to climate mitigation and adaptation for sustainable growth and this technology also uses air quality sensors across the city to collect open data platform for monitoring and reducing primary and secondary pollutants and systematically instruct the pollutant-causing sources to maintain ambient air quality.

2020 ◽  
Vol 10 (17) ◽  
pp. 5882
Author(s):  
Federico Desimoni ◽  
Sergio Ilarri ◽  
Laura Po ◽  
Federica Rollo ◽  
Raquel Trillo-Lado

Modern cities face pressing problems with transportation systems including, but not limited to, traffic congestion, safety, health, and pollution. To tackle them, public administrations have implemented roadside infrastructures such as cameras and sensors to collect data about environmental and traffic conditions. In the case of traffic sensor data not only the real-time data are essential, but also historical values need to be preserved and published. When real-time and historical data of smart cities become available, everyone can join an evidence-based debate on the city’s future evolution. The TRAFAIR (Understanding Traffic Flows to Improve Air Quality) project seeks to understand how traffic affects urban air quality. The project develops a platform to provide real-time and predicted values on air quality in several cities in Europe, encompassing tasks such as the deployment of low-cost air quality sensors, data collection and integration, modeling and prediction, the publication of open data, and the development of applications for end-users and public administrations. This paper explicitly focuses on the modeling and semantic annotation of traffic data. We present the tools and techniques used in the project and validate our strategies for data modeling and its semantic enrichment over two cities: Modena (Italy) and Zaragoza (Spain). An experimental evaluation shows that our approach to publish Linked Data is effective.


Processes ◽  
2021 ◽  
Vol 9 (9) ◽  
pp. 1604
Author(s):  
Syed Raza ◽  
Sana Hafeez ◽  
Zulfiqar Ali ◽  
Zaheer Nasir ◽  
Muhammad Moeen Butt ◽  
...  

The pollutants emission during the process of municipal solid waste management (MSWM) is of great concern due to its hazardous effect on the environment and living organisms. An assessment of the air quality of MSWM sites was made after having 16 repetitive visits at solid waste disposal sites and transfer stations of Lahore during wet and dry seasons. Pollution parameters such as fine particulate matter (PM2.5) and greenhouse gases (GHG) were measured along with meteorological parameters. PM2.5 measurement was made by using particle counter Dylos and TSI’s Dust Trak. Both of these instruments were positioned simultaneously at the source site and downwind (50 m). CH4 and meteorological parameters were measured by Aeroqual 500 series, while the Extech CO220 monitor was used to measure CO2 concentration. An assessment of air quality showed the levels of their mean values as CH4 and CO2 ranged between 1.5–13.7 ppm and 443.4–515.7 ppm, respectively. The PM2.5 ranged between 127.1 and 307.1 µg/m3 at sources and 172.3 and 403.8 µg/m3 downwind (50 m). GHG showed lower levels than the proposed limit value, which could not cause any health issues, while PM2.5 was 6–10 times higher than the Pak-EPA established standards. Higher pollutant concentration was recorded in the dry season than the wet season. Regression analysis was performed to predict correlation of PM2.5 with GHG and meteorological parameters. GHG as well as meteorological parameters also exhibited a correlation with PM2.5. It was estimated that the ambient air of such sites is not safe for public health. So, it is necessary to use safe practices for MSWM and its emission control to prevent nearby communities and the environment.


2017 ◽  
Vol 13 (08) ◽  
pp. 79 ◽  
Author(s):  
Nagarjuna Telagam ◽  
Nehru Kandasamy ◽  
Nagendra Prasad G ◽  
Menakadevi Nanjundan

A ZigBee based wireless sensor network is implemented in this paper which is of low-cost solar-powered air quality monitoring system. The main objective of the proposed architecture is to interfacing various sensors to measure the sensor analog data and displayed in LabVIEW on the monitor using the graphical user interface (GUI).  The real time ambient air quality monitoring in smart cities is of greater significance for the health of people. The wireless network sensor nodes are placed at different traffic signals in the smart cities which collect and report real-time data on different gases which are present in the environment such as carbon monoxide (CO), nitrogen dioxide (NO2), methane (CH4) and humidity. The proposed system allows smart cities to monitor air quality conditions on a desktop/laptop computer through an application designed using graphical programming based LabVIEW software and provides an alert if the air quality characteristics exceed acceptable levels. The sensor network was successfully tested on the campus of the institute of aeronautical engineering, Hyderabad. The sensor data are indicated by different indicators on the front panel of LabVIEW and also different charts are plotted with respect to time and amplitude which explains the severity of polluted areas.


2021 ◽  
Vol 14 (4) ◽  
pp. 1895-1890
Author(s):  
Dibyendu Saha

Air pollution is a notable worldwide warning to human health. Every year, air pollution is accountable for more than five million death, out of these 91% occur in lower-middle-income countries. In addition to this, various respiratory & cardiovascular diseases, lower productivity and increased mortality are also related to air pollution, that’s why it’s often called a silent or invisible killer. However, Ecotourism generates opportunities for tourists wishing to enjoy the natural environment without destructing or disturbing its habitats. It is increasingly considered instrumental in helping the local socio-economic sustainable development and also as a means for generating revenues with the object of preserving the local traditional culture and craft. Environmental ambient quality must be considered as a crucial aspect in the predetermining process of prospective tourists and tourism destinations. The present study site Baranti, in Raghunathpur subdivision of Purulia district, West Bengal, India is situated in a splendid location within Baranti Lake and Baranti Hill, both has emerged as a fast-grown ecotourism spot over the last 7-8 years. The present study was carried out through survey questionnaire method from May 2020 (01.05.2020) - November 2020 (30.11.2020) on different categories of respondents like local people, hotel-resort owners & staff, local businessmen and tourists and simultaneously during this period, the air quality was also measured in respect of temperature, humidity, PM 2.5, PM 10, particles and CO2 through Temtop M2000C Air Quality Monitor at the said site. In the observation, ambient air quality was measured at three hours intervals on a day every week and 10 readings were taken from each site at a distance of 10 meters apart and the mean values were considered for statistical analyses. It was found that average PM 2.5, PM 10 & CO2 in ambient air in the study site were 64.26 ug/m3, 89.43 ug/m3 & 701.66 respectively therefore unexpectedly the ambient air is not only polluted but also moderate to unhealthy in respect of the said parameters as judged by the yardstick of Air Quality Guideline Levels laid down by the WHO. A well-defined management plan is required for controlling and minimising the said pollution with the interference of the Government and other agencies for the sustainable growth and development of the said ecotourism spot.


Data ◽  
2021 ◽  
Vol 6 (8) ◽  
pp. 93
Author(s):  
Raf Buyle ◽  
Brecht Van de Vyvere ◽  
Julián Rojas Meléndez ◽  
Dwight Van Lancker ◽  
Eveline Vlassenroot ◽  
...  

Smart cities need (sensor) data for better decision-making. However, while there are vast amounts of data available about and from cities, an intermediary is needed that connects and interprets (sensor) data on a Web-scale. Today, governments in Europe are struggling to publish open data in a sustainable, predictable and cost-effective way. Our research question considers what methods for publishing Linked Open Data time series, in particular air quality data, are suitable in a sustainable and cost-effective way. Furthermore, we demonstrate the cross-domain applicability of our data publishing approach through a different use case on railway infrastructure—Linked Open Data. Based on scenarios co-created with various governmental stakeholders, we researched methods to promote data interoperability, scalability and flexibility. The results show that applying a Linked Data Fragments-based approach on public endpoints for air quality and railway infrastructure data, lowers the cost of publishing and increases availability due to better Web caching strategies.


2021 ◽  
Author(s):  
Maria Pregnolato

<p>The world evolves. Cities have become the most common human settlement (>50% world population is urban). They act as major centres of economic activity and innovation, but also as hubs of crucial challenges. Cities are increasingly complex systems which have to address the enhanced demand, as well as sustainability criteria (e.g. meeting the 2015 Paris Climate Agreement target). Cities are also increasingly suffering from the impact of extreme weather, which are expected to threat US$4 trillion of assets by 2030 [1].</p><p>Science evolves too. New technology (e.g. Internet of Things) and concepts (e.g. smart cities) are emerging to manage risks and develop strategies for climate mitigation and adaptation. Infrastructure plays a core role in developing urban resilience, since they underpin all the key activities and constitute the backbone of a city. When infrastructure is robust and able to adapt, the whole city becomes less vulnerable to natural disasters.</p><p>Yet urban research does not fully fulfil the need of decision-makers: existing studies are mostly silo-based (e.g. based on single disciplines), or provide little scope for a business case, or do not offer platforms of practical implementation. Also, the uptake of developed technology (which requires specific expertise) is sometimes difficulty and seen as a further barrier.</p><p>This award lecture will review the major challenges that cities are facing today, and illustrate available tools to assess impact to infrastructure, alongside adaptation and technology options. Various international case studies will be presented regarding flooding and road networks [2, 3, 4, 5].</p><p>In the future, research and practice needs to interlink to innovate urban policy for mitigating urban climate change and adapting. Cities have never had so many and powerful tools available to tackle their challenges: while there is an immense potential, its realisation is still to unfold. The next decades are critical for developing schemes that address climate and sustainability goals, which could be solely successful with the application of latest science to practical contingencies.</p><p><strong>Reference</strong></p><p>[1] X Bai, RJ Dawson, D Ürge-Vorsatz, GC Delgado, AS Barau, S Dhakal, et al. (2018). Six research priorities for cities and climate change. Nature 555 (7694), 23-25. https://doi.org/10.1038/d41586-018-02409-z</p><p>[2] M Pregnolato, A Ford, V Glenis, S Wilkinson, R Dawson (2017). Impact of climate change on disruption to urban transport networks from pluvial flooding. Journal of Infrastructure Systems 23 (4), 04017015. https://doi.org/10.1061/(ASCE)IS.1943-555X.0000372</p><p>[3] C Arrighi, M Pregnolato, RJ Dawson, F Castelli (2019). Preparedness against mobility disruption by floods. Science of the Total Environment 654, 1010-1022. https://doi.org/10.1016/j.scitotenv.2018.11.191</p><p>[4] C Arrighi, M Pregnolato, F Castelli (2020). Indirect flood impacts and cascade risk across interdependent linear infrastructures. Natural Hazards and Earth System Sciences Discussions, 1-18. https://doi.org/10.5194/nhess-2020-371</p><p>[5] M Pregnolato, AO Winter, D Mascarenas, AD Sen, P Bates, MR Motley (2020). Assessing flooding impact to riverine bridges: an integrated analysis. Natural Hazards and Earth System Sciences Discussions, 1-18. https://doi.org/10.5194/nhess-2020-375</p>


Author(s):  
J. B. Moran ◽  
J. L. Miller

The Clean Air Act Amendments of 1970 provide the basis for a dramatic change in Federal air quality programs. The Act establishes new standards for motor vehicles and requires EPA to establish national ambient air quality standards, standards of performance for new stationary sources of pollution, and standards for stationary sources emitting hazardous substances. Further, it establishes procedures which allow states to set emission standards for existing sources in order to achieve national ambient air quality standards. The Act also permits the Administrator of EPA to register fuels and fuel additives and to regulate the use of motor vehicle fuels or fuel additives which pose a hazard to public health or welfare.National air quality standards for particulate matter have been established. Asbestos, mercury, and beryllium have been designated as hazardous air pollutants for which Federal emission standards have been proposed.


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