Development of a Raspberry Pi–Based Remote Station Prototype for Coastal Environment Monitoring

Author(s):  
Eli Korku Kpobi ◽  
Bennet Atsu Kwame Foli ◽  
Kwame Adu Agyekum ◽  
George Wiafe
2021 ◽  
Author(s):  
Daniele Piazzolla ◽  
Giancarlo Della Ventura ◽  
Andrea Terribili ◽  
Alessandra Conte ◽  
Sergio Scanu ◽  
...  

<p><span>The increase in urbanization requires intense energy consumption and causes an increase in emissions from transportation and industrial sources. As a result, a variety of pollutants are released into the atmosphere with negative effects on the health of organisms and ecosystems as well as on human health. In this perspective, coastal areas are considered "hot</span><span>spot</span><span>s" of environmental contamination since they often host multiple human activities. This issue is particularly dramatic close to important maritime hubs, as a matter of fact overall 25% of the world energy consumption (a major source of pollution) is employed for transport, and over 80% of world trade is carried by sea (Gobbi et al. 2020). </span><span>During 2019-2020 we carried out a continuous monitoring of particulate matter in a fixed station to understand the sources of air pollution in the northern Latium coastal area. This area has been selected for the presence of industrial activities located in a few kilometers of coast (Piazzolla et al. 2020). </span><span>The amount and typology of solid particles present in the environment have been assessed by implementing a reliable cost-effective device (Gozzi et al. 2015, 2017) which integrates an optical particle counter and a filtering set-up able to collect particulate matter with dimension > 400 nm (Della Ventura et al. 2017). Filters were periodically removed from the device and recovered microparticles were subjected to microscopic (optical and electron), spectroscopic (IR, Raman), and microchemical (SEM-EDS) characterization. Results were related to the wind speed and direction measured by</span><span> the </span>Civitavecchia Coastal Environment Monitoring System<span> (</span><span>Bonamano et al. 2015), allowing an evaluation of the contribution of anthropic (industrial and maritime) activities to the pollution in this area.</span></p><p>Bonamano S., Piermattei V., Madonia A., Mendoza F., Pierattini A., Martellucci R., ... <span>& Marcelli M. (2016). The Civitavecchia Coastal Environment Monitoring System (C-CEMS): a new tool to analyze the conflicts between coastal pressures and sensitivity areas. Ocean Science, 12(1).</span><span> DOI 10.5194/os-12-87-2016</span></p><p><span>Della Ventura G., Gozzi F., Marcelli A. (2017) The MIAMI project: design and testing of an IoT lowcost device for mobile monitoring of PM and gaseous pollutants. Superstripe Press, Science Series, 12, 41-44, ISBN 9788866830764</span></p><p>Gobbi G.P., Di Liberto L., Barnaba F. (2020). <span>Impact of port emissions on Eu-regulated and non-regulated air quality indicators: the case of Civitavecchia (Italy). Science of the Total environment, 719. DOI 10.1016/j.scitotenv.2019.134984 </span></p><p><span>Gozzi, F., Della Ventura, G., Marcelli, A. (2015) Mobile monitoring of particulate matter: State of art and perspectives. Atmospheric Pollution Research, 7, 228-234. DOI 10.1016/j.apr.2015.09.007.</span></p><p><span>Gozzi F., Della Ventura G., Marcelli A., Lucci F. (2017) Current status of particulate matter pollution in Europe and future perspectives: a review. Journal of Materials and Environmental Science, 8, 1901-1909. ISSN 2028-2508</span></p><p><span>Piazzolla D., Cafaro V., de Lucia G. A., Mancini E., Scanu S., Bonamano S., ... & Marcelli M. (2020). Microlitter pollution in coastal sediments of the northern Tyrrhenian Sea, Italy: microplastics and fly-ash occurrence and distribution. </span>Estuarine, Coastal and Shelf Science, 106819. DOI 10.1016/j.ecss.2020.106819</p>


2015 ◽  
Vol 12 (4) ◽  
pp. 1595-1623 ◽  
Author(s):  
S. Bonamano ◽  
V. Piermattei ◽  
A. Madonia ◽  
F. Paladini de Mendoza ◽  
A. Pierattini ◽  
...  

Abstract. The understanding of the coastal environment is fundamental for efficiently and effectively facing the pollution phenomena, as expected by Marine Strategy Directive, which is focused on the achievement of Good Environmental Status (GES) by all Member States by 2020. To address this, the Laboratory of Experimental Oceanology and Marine Ecology developed a multi-platform observing network that has been in operation since 2005 in the coastal marine area of Civitavecchia, where multiple uses and high ecological values closely coexist. The Civitavecchia Coastal Environment Monitoring System (C-CEMS), implemented in the current configuration, includes various modules that provide integrated information to be used in different fields of the environmental research. The long term observations acquired by the fixed stations are integrated by in situ surveys, periodically carried out for the monitoring of the physical, chemical and biological characteristics of the water column and marine sediments, as well as of the benthic biota. The in situ data, integrated with satellite observations (e.g., temperature, chlorophyll a and TSM), are used to feed and validate the numerical models, which allow analyses and forecasting of the dynamics of conservative and non-conservative particles under different conditions. As examples of C-CEMS applications, two case studies are reported in this work: (1) the analysis of faecal bacteria dispersion for bathing water quality assessment and, (2) the evaluation of the effects of the dredged activities on Posidonia meadows, which make up most of the two sites of community importance located along the Civitavecchia coastal zone. The simulations results are combined with Posidonia oceanica distribution and bathing areas presence in order to resolve the conflicts between coastal uses (in terms of stress produced by anthropic activities) and sensitivity areas management.


Author(s):  
M.Ambika ME ◽  
Madhunisha M.

Automation is the use of various control systems for operating equipment such as machinery, processes in industries such as boilers and heat treating ovens, switching on telephone networks, steering and stabilization of ships, aircraft and other applications with minimal or reduced human intervention. This research paper presents advanced approaches using wireless monitoring system for induction motor based on Internet of Things (IoT) for safe and economic data communication. n the first approach, state of the art fault detection strategy is exhibited for induction motor. This research paper depends on the assessment of measured voltage, current, earth leakage, rotor status and speed. Progressed embedded strategy and utilized to isolate and survey the disappointment seriousness. In this procedure, distinctive sensors are associated with the motor, and the quantities are extracted by utilizing a microcontroller. The Graphical User Interface (GUI) with cloud server IoT is used to transmit the data from base station to remote station. This arrangement allows the client to interface with the framework. The proposed research paper based induction motor control system is validated through the simulation in Raspberry Pi 3 environment.


2021 ◽  
Vol 8 ◽  
Author(s):  
Eva Turicchia ◽  
Massimo Ponti ◽  
Gianfranco Rossi ◽  
Martina Milanese ◽  
Cristina Gioia Di Camillo ◽  
...  

Since 2001, trained snorkelers, freedivers, and scuba diver volunteers (collectively called EcoDivers) have been recording data on the distribution, abundance, and bathymetric range of 43 selected key marine species along the Mediterranean Sea coasts using the Reef Check Mediterranean Underwater Coastal Environment Monitoring (RCMed U-CEM) protocol. The taxa, including algae, invertebrates, and fishes, were selected by a combination of criteria, including ease of identification and being a key indicator of shifts in the Mediterranean subtidal habitats due to local pressures and climate change. The dataset collected using the RCMed U-CEM protocol is openly accessible across different platforms and allows for various uses. It has proven to be useful for several purposes, such as monitoring the ecological status of Mediterranean coastal environments, assessing the effects of human impacts and management interventions, as well as complementing scientific papers on species distribution and abundance, distribution modeling, and historical series. Also, the commitment of volunteers promotes marine stewardship and environmental awareness in marine conservation. Here, we describe the RCMed U-CEM protocol from training volunteers to recording, delivering, and sharing data, including the quality assurance and control (QA/QC) procedures.


2012 ◽  
Vol 21 (1) ◽  
pp. 46-52 ◽  
Author(s):  
Jae-Ho Yoo ◽  
Chang-Hee Lee ◽  
Young-Seok Ock ◽  
Wan-Young Chung

Author(s):  
Tiago da Silva Almeida

This paper presents a low-cost prototype for lectures in public universities based on Raspberry Pi. It is described how to connect and configure the prototype using an infrared remote control. Technologies applied in education are widely explored in recent researches and can be held to lower the cost. The proposed prototype is 86\% cheaper on average (compared to ordinary computer) and can be used for automation of the classrooms besides lectures. For example, the prototype can be additionally used to access control, environment monitoring, and management of the environment utilization by the users.


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