Countermeasures to Improve the Quality of Atmospheric Environmental Monitoring

2021 ◽  
Keyword(s):  
Environmental Monitoring

scholarly journals Application of automated bioacoustic identification in environmental education and assessment

2004 ◽  
Vol 76 (2) ◽  
pp. 446-451 ◽  
Author(s):  
Teruyo Oba
Keyword(s):  
Environmental Education ◽  
Environmental Monitoring ◽  
Computer Science ◽  
Animal Species ◽  
Biological Surveys ◽  
The Future ◽  
Technology Aids

Developments in electronics and computer science have led to the introduction of an automated bioacoustic identification device used to resolve commonly encountered problems in the identification of animal species in the field. This technology aids our auditory observations, and also improves the quality of biological surveys and environmental monitoring. In this paper the future roles and possibilities of bioacoustics are discussed, providing some examples from the realm of environmental education and monitoring that focus on the use of nature sounds.

scholarly journals ENVIRONMENTAL MONITORING BERBASIS INTERNET OF THINGS UNTUK PETERNAKAN CERDAS

2019 ◽  
Vol 5 (1) ◽  
Author(s):  
Munsyi Munsyi ◽  
Muhammad Syahid Febriadi ◽  
Nahdi Saubari
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Internet Of Things ◽  
Environmental Monitoring ◽  
Environmental Conditions ◽  
Smart City ◽  
Wireless Sensor ◽  
Quality Data ◽  
The Government

Di era Internet of Things (IoT). Siapapun dapat mengakses data dimanapun dan kapanpun. Semua data yang tersimpan dapat diakses dengan menggunakan perangkat seperti smartphone, laptop, dan komputer. Salah satu dari teknologi Internet of Things adalah smart city untuk memonitoring lingkungan. Untuk dapat mengetahui kondisi dan kualitas suatu lingkungan, seseorang tidak perlu lagi menunggu pengumuman informasi atau datang ke instansi terkait di pemerintahan. Pemanfaatan IoT pada monitoring lingkungan dapat di terapkan pada bidang peternakan. Hal ini dapat membantu seseorang dalam mengetahui kualitas dari kondisi lingkungan yang akan dimanfaatkan untuk peternakan. Dalam hal ini adalah bagaimana mengetahui peternakan yang cocok untuk diterapkan dilingkungan yang dia tuju untuk membangun peternakan sapi atau peternakan ayam. Menggunakan perangkat wireless sensor networks (WSN) untuk melakukan pengambilan nilai dari kondisi lingkungan tersebut dapat membantu mengetahui kondisi dan kualitas lingkungan. IoT membantu seseorang untuk membuka usaha dibidang peternakan yang cocok untuk wilayah tersebut tanpa harus melakukan banyak survey yang menelan banyak biaya. Hanya dengan menggunakan teknologi IoT siapapun dapat mendapatkan data kualitas lingkungan yang cocok untuk membuka sebuah peternakan dengan kondisi lingkungan yang sudah diketahui sebelumnya. Kata kunci: Internet of Things, Kondisi Lingkungan, Peternakan, Smart City, WSN. In the Internet of Things era (IoT). Everyone can access the data in anywhere and anytime. All stored data can be accessed using end devices such as smartphones, laptops and computers. One of the IoT technologies is a smart city for monitoring the environment. To be able to know the condition and quality of an environment, everyone does not need to wait for the announcement of information or come to the relevant agencies in the government. Utilization of IoT on Environmental Monitoring can be applied to the field of ranch. in this case it will be used for helping someone in knowing the quality of environmental conditions that will be used for. In this case it is how to find out which ranchs are suitable to be applied in the environment from the user that he want to construct cow or chicken ranch. Using wireless sensor networks (WSN) to retrieve values from these environmental conditions can help determine the condition and quality of the environment. IoT helps someone to open a business in field of ranchs that is suitable for region without having to do many survey. Only by using IoT, anyone can get suitable environmental quality data to open a ranch with environmental conditions that have been known before.Keywords: Environmental conditions, Internet of Things, Ranch, Smart City, WSN. 

scholarly journals Development and characterisation of a self-powered measurement buoy prototype by means of piezoelectric energy harvester for monitoring activities in a marine environment

ACTA IMEKO ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 201
Author(s):  
Damiano Alizzio ◽  
Antonino Quattrocchi ◽  
Roberto Montanini
Keyword(s):  
Resonant Frequency ◽  
Environmental Monitoring ◽  
Power Supply ◽  
Smart City ◽  
Energy Harvester ◽  
Experimental Setup ◽  
Piezoelectric Energy ◽  
Maintenance Service ◽  
Self Powered

<p class="Abstract">In the interest of our society, for example in Smart City but also in other specific backgrounds, environmental monitoring is an essential activity to measure the quality of different ecosystems. In fact, the need to obtain accurate and extended measurements in space and time has considerably become relevant. In very large environments, such as marine ones, technological solutions are required for the use of smart, automatic, and self-powered devices in order to reduce human maintenance service. This work presents a simple and innovative layout for a small self-powered floating buoy, with the aim of measuring and transmitting the detected data for visualization, storage and/or elaboration. The power supply was obtained using a cantilever harvester, based on piezoelectric patches, converting the motion of ripple waves. Such type of waves is characterized by frequencies between 1.50 Hz and 2.50 Hz with oscillation between 5.0 ° and 7.0 °. Specifically, a dedicated experimental setup was created to simulate the motion of ripple waves and to evaluate the suitability of the proposed design and the performance of the used harvester. Furthermore, a dynamic analytical model for the harvester has been defined and the uncertainty correlated to the harvested power has been evaluated. Finally, the harvested voltage and power have shown how the presented buoy behaves like a frequency transformer. Hence, although the used cantilever harvester does not work in its resonant frequency, the harvested electricity undergoes a significant increase.</p><p class="Abstract"><span lang="EN-US"><br /></span></p>

scholarly journals IoT for Smart Environment Monitoring Based on Python: A Review

2021 ◽  
pp. 57-70
Author(s):  
Saad Hikmat Haji ◽  
Amira B. Sallow
Keyword(s):  
Water Pollution ◽  
Machine Learning ◽  
Internet Of Things ◽  
Environmental Monitoring ◽  
Sensor Technology ◽  
The Internet ◽  
Smart Environment ◽  
Environment Monitoring ◽  
The Internet Of Things

Air pollution, water pollution, and radiation pollution are significant environmental factors that need to be addressed. Proper monitoring is crucial with the goal that by preserving a healthy society, the planet can achieve sustainable development. With advancements in the internet of things (IoT) and the improvement of modern sensors, environmental monitoring has evolved into a smart environment monitoring (SEM) system in recent years. This article aims to have a critical overview of significant contributions and SEM research, which include monitoring the quality of air , water pollution, radiation pollution, and agricultural systems. The review is divided based on the objectives of applying SEM methods, analyzing each objective about the sensors used, machine learning, and classification methods. Moreover, the authors have thoroughly examined how advancements in sensor technology, the Internet of Things, and machine learning methods have made environmental monitoring into a truly smart monitoring system.

scholarly journals Adaptive error compensation for primary me-ters of environmental monitoring systems

2020 ◽  
pp. 157-162
Author(s):  
I.A. Skatkov ◽  
◽  
D.V. Moiseev ◽  
Keyword(s):  
Environmental Monitoring ◽  
Environmental Parameters ◽  
Critical Energy ◽  
Monitoring Systems ◽  
Main Task ◽  
Chemical Production ◽  
Separate Model ◽  
Adaptive Parameters ◽  
Adaptive Correction

The paper focuses on the construction of separate model representations in the study of reliability of data obtained from environmental monitoring systems. Modern systems for monitoring environmental parameters are complex complexes of different technical and software tools. Special requirements to the quality of monitoring systems arise when they are used as subsystems in systems of responsible application, monitoring the state of critical energy facilities, mining, transport, and chemical production processes. One of the main reasons for reducing the reliability of such data is degradation processes in the primary meter, which are often installed in aggressive environments with an unsatisfactory set of parameters in the places where they are located. As a result of degradation effects, there is a significant decrease in the accuracy of primary meters, up to complete failures. An approach is described that allows increasing the duration of continuous operation of the system for monitoring environmental parameters. The basis of this approach is adaptive correction of primary meter readings in the event of a decrease in their accuracy due to degradation failures. It is noted that in order to identify interdependencies in such a system, it is necessary to conduct a simulation of the adaptation process in the system for monitoring environmental parameters, and the task is to create such a model. The structure and equations of such a system are proposed, and the task of creating a simulation model of the system is set. Thus, the main task of the proposed approach is to extend the intervals between repairs of environmental monitoring systems. This is achieved by extending the service life of primary meters in the event of their degradation failures. This resource extension is achieved by creating an additional feedback channel with adaptive parameters in the system.

Data Quality of PAH Determinations in Environmental Monitoring

2004 ◽  
Vol 94 (9-10) ◽  
pp. 691-698 ◽  
Author(s):  
Elisabetta Borsella ◽  
Patrizia di Filippo ◽  
Carmela Riccardi ◽  
Sergio Spicaglia ◽  
Angelo Cecinato
Keyword(s):  
Environmental Monitoring ◽  
Data Quality

Assessing the quality of environmental monitoring programs

1984 ◽  
Vol 10 (2) ◽  
pp. 123-127 ◽  
Author(s):  
Colin G. Sanderson ◽  
Melvin S. Feiner
Keyword(s):  
Environmental Monitoring ◽  
Monitoring Programs

scholarly journals PROJECT OF "SMART" SENSORS PLACEMENT FOR ENVIRONMENTAL MONITORING IN THE LENINSKY DISTRICT OF NOVOSIBIRSK

2020 ◽  
Vol 6 (1) ◽  
pp. 189-193
Author(s):  
Dmitry V. Kovalev ◽  
Ekaterina N. Kulik
Keyword(s):  
Wireless Sensor Network ◽  
Environmental Monitoring ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Smart Sensors ◽  
Iot Platform ◽  
The Creation ◽  
Network Project

The article suggests the creation of a wireless sensor network project for monitoring the quality of the atmosphere in the Leninsky district of Novosibirsk. The concept diagram of a wireless sensor network is shown, the basic digital IOT platform for system deployment is defined, and the use of ArcGIS tools is recommended.

scholarly journals The Water Quality of White Lake and the Species Composition of Phytoplankton Organisms

2020 ◽  
Vol 6 (3) ◽  
pp. 131-139
Author(s):  
E.I. Shekhmatova ◽  
Keyword(s):  
Heavy Metals ◽  
Water Quality ◽  
Species Composition ◽  
Environmental Monitoring ◽  
Research Data ◽  
Nature Management ◽  
Blue Green Algae ◽  
Maximum Permissible Concentrations ◽  
Environmental Monitoring System

the article presents data on the assessment of water quality and coastal soil, and the state of the phytoplankton of lake White, part of the system Kosinski lakes. The revealed excess of maximum permissible concentrations for heavy metals, arsenic, benzo(a)pyrene in the soil and deterioration of water quality dynamics. Discovered the dominance of blue-green algae (Cyanophyta), whose share reaches 70% of the total number of installed types. As a result of the study identified the main indicators defining features of the ecological-geochemical anomalies of White lake and the surrounding soils of the coastal strip. The resulting research data may be the basis for the organization of environmental monitoring system and used to develop the strategy of rational nature management within the Natural-historical Park “Kosinki”.

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