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Sensors for Environment Monitoring
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Sensors for Environment Monitoring

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".

Deadline for manuscript submissions: closed (31 May 2022) | Viewed by 5077

Special Issue Editor

Prof. Dr. Florentina-Daniela Munteanu

E-Mail Website
Guest Editor
Faculty of Food Engineering, Tourism and Environmental Protection, “Aurel Vlaicu” University of Arad, Arad, Romania
Interests: environmental engineering; electrochemistry; biosensors; biotechnologies in environmental protection
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The development of the industrial activity related to the growth of the world population has contributed to the release of a number of hazardous pollutants in the environment. Therefore, as a consequence of the presence of these toxic chemicals in the environment, it is mandatory to develop fast, simple, easy-to-use, portable, and cost-effective devices for their detection. Enzyme-based sensors are good candidates for the detection of a minimal level of pollutants.

This Special Issue is addressed to all types of sensors designed for environmental monitoring. Topics include but are not limited to:

  • Electrochemical sensors;
  • Optical sensors;
  • Sensor platforms;
  • Novel materials used for sensors;
  • Development of new sensors;
  • Sensing technologies for environment monitoring;
  • Environmental sensors networks;
  • Environment quality monitoring;
  • Real-time monitoring;
  • In situ pollutants monitoring.

Prof. Dr. Florentina-Daniela Munteanu
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Enzyme-based sensors
  • Environmental monitoring
  • Toxic compounds
  • Enzymes
  • Pollutants
  • Transducers
  • Electrode materials
  • Methods of detection

Published Papers (2 papers)

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Research

21 pages, 25555 KiB  
Article
Water Cloud Detection with Circular Polarization Lidar: A Semianalytic Monte Carlo Simulation Approach
by Wiqas Ahmad, Kai Zhang, Yicheng Tong, Da Xiao, Lingyun Wu and Dong Liu
Sensors 2022, 22(4), 1679; https://doi.org/10.3390/s22041679 - 21 Feb 2022
Cited by 4 | Viewed by 2517
Abstract
This work presents polarization property studies of water clouds using a circular polarization lidar through a simulation approach. The simulation approach is based on a polarized, semianalytic Monte Carlo method under multiple-scattering conditions and considers three types of water clouds (namely homogeneous, inhomogeneous [...] Read more.
This work presents polarization property studies of water clouds using a circular polarization lidar through a simulation approach. The simulation approach is based on a polarized, semianalytic Monte Carlo method under multiple-scattering conditions and considers three types of water clouds (namely homogeneous, inhomogeneous and partially inhomogeneous). The simulation results indicate that the layer-integrated circular depolarization ratios show similar variation trends as those of layer-integrated linear depolarization ratios. The Mishchenko–Hovenier relationship is validated to correlate the simulated layer-integrated circular and linear depolarization ratios. In addition, the cloud droplet effective radius, extinction coefficient, lidar field-of-view (FOV) and height of the cloud bottom are all found to affect the layer-integrated depolarization ratio. The current work theoretically indicates that a circular polarization lidar can efficiently perform measurements of water clouds, enjoying the advantage of higher sensitivity compared to a traditional linear polarization lidar. Hence, it should be of interest to researchers in fields of polarization lidar applications. Full article
(This article belongs to the Special Issue Sensors for Environment Monitoring)
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15 pages, 5748 KiB  
Article
Long-Term In-Situ Monitoring and Analysis of Terrain in Gas Hydrate Trial Harvesting Area
by Chen Cao, Hao Wang, Yongqiang Ge, Wei Wang, Jin Guo, Peng Zhou, Feng Gao and Jiawang Chen
Sensors 2022, 22(4), 1351; https://doi.org/10.3390/s22041351 - 10 Feb 2022
Cited by 3 | Viewed by 1676
Abstract
With the increase in global energy demand, the exploration and development of natural gas hydrate in sea has become a research hotspot in recent years. However, the environmental problems that may be brought about by large-scale harvesting are still concerns. The terrain monitoring [...] Read more.
With the increase in global energy demand, the exploration and development of natural gas hydrate in sea has become a research hotspot in recent years. However, the environmental problems that may be brought about by large-scale harvesting are still concerns. The terrain monitoring of the trial harvesting area can effectively prevent the geological disasters that may be caused by the development of hydrates. Therefore, we have developed a new terrain monitoring device, which can work in the deep sea for a long time. Firstly, the structure of the sensor arrays and bus-type control system of the device are introduced. Secondly, an arc model with an interpolation method is used for reconstruction of the monitored terrain. Thirdly, after the accuracy of the sensing arrays are verified in laboratory, the device was placed in the Shenhu area of the South China Sea for more than 6 months of in-situ monitoring. Finally, we analyzed the data and concluded that the terrain of the monitored area was relatively flat, where the maximum subsidence was 12.3 cm and the maximum uplift was 2.75 cm. Full article
(This article belongs to the Special Issue Sensors for Environment Monitoring)
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