Submit to Sensors Review for Sensors Propose a Special Issue

Journal Menu

Journal Browser

► Journal Browser

Sensors and Sensor Networks for Water Monitoring in Fluvial and Marine Ecosystems

Special Issue Editors
Special Issue Information
Benefits of Publishing in a Special Issue
Published Papers

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

Deadline for manuscript submissions: closed (15 January 2023) | Viewed by 14596

Share This Special Issue

Special Issue Editors

Dr. Lorena Parra

E-Mail Website
Guest Editor

1. Research Institute for the Integrated Management of Coastal Zones (IGIC), Polytechnic University of Valencia, 46022 València, Spain
2. Departamento de Producción Agrícola, Escuela Técnica Superior de Ingeniería Agronómica, Alimentaria y de Biosistemas, Universidad Politécnica de Madrid, 28040 Madrid, Spain
Interests: aquaculture; environmental monitoring; precision agriculture; water quality; wireless sensor networks; chemical sensors; physical sensors; pollution monitoring
Special Issues, Collections and Topics in MDPI journals

Dr. José Miguel Jiménez Herranz

E-Mail Website
Guest Editor

Research Institute for the Integrated Management of Coastal Zones (IGIC), Polytechnic University of Valencia, 46022 València, Spain
Interests: network protocols; network algorithms; network security; Multimedia; WSN; IoT
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Water monitoring supposes a series of challenges compared with on-land monitoring. The sensors used for water monitoring must accomplish a series of requirements, making its creation, deployment, and maintenance more difficult. Data transmission in underwater environments is limited in terms of bandwidth and distance. Therefore, this Special Issue will collect the latest advances in sensors and sensor networks for underwater monitoring, including fluvial and marine ecosystems.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

Physical sensors;
Optical sensors;
Magnetic sensors;
Acoustic sensors;
Ecosystem monitoring;
Abiotic monitoring;
Biotic monitoring;
Underwater data transmission;
Unmanned underwater vehicles;
Underwater acoustic modems.

Dr. Lorena Parra
Dr. Jose Miguel Jimenez Herranz
Guest Editors

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.

Benefits of Publishing in a Special Issue

Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue polices can be found here.

Published Papers (6 papers)

Download All Papers

Order results

Result details

Show export options Show export options

Select all

Export citation of selected articles as:

Research

13 pages, 3741 KiB

Open AccessArticle

Development of Innovative Online Modularized Device for Turbidity Monitoring

by Chen-Hua Chu, Yu-Xuan Lin, Chun-Kuo Liu and Mei-Chun Lai

Sensors 2023, 23(6), 3073; https://doi.org/10.3390/s23063073 - 13 Mar 2023

Cited by 6 | Viewed by 2039

Abstract

Given progress in water-quality analytical technology and the emergence of the Internet of Things (IoT) in recent years, compact and durable automated water-quality monitoring devices have substantial market potential. Due to susceptibility to the influence of interfering substances, which lowers measurement accuracy, existing automated online monitoring devices for turbidity, a key indicator of a natural water body, feature a single light source and are thus insufficient for more complicated water-quality measurement. The newly developed modularized water-quality monitoring device boasts dual light sources (VIS/NIR), capable of measuring the intensity of scattering, transmission, and reference light at the same time. Coupled with a water-quality prediction model, it can attain a good estimate for continuing monitoring of tap water (<2 NTU, error < 0.16 NTU, relative error < 19.6%) and environmental water samples (<400 NTU, error < 3.86 NTU, relative error < 2.3%). This indicates the optical module can both monitor water quality in low turbidity and provide water-treatment information alerts in high turbidity, thereby materializing automated water-quality monitoring. Full article

(This article belongs to the Special Issue Sensors and Sensor Networks for Water Monitoring in Fluvial and Marine Ecosystems)

► Show Figures

Figure 1

15 pages, 3719 KiB

Open AccessArticle

Anomaly Detection in Biological Early Warning Systems Using Unsupervised Machine Learning

by Aleksandr N. Grekov, Aleksey A. Kabanov, Elena V. Vyshkvarkova and Valeriy V. Trusevich

Sensors 2023, 23(5), 2687; https://doi.org/10.3390/s23052687 - 1 Mar 2023

Cited by 7 | Viewed by 2429

Abstract

The use of bivalve mollusks as bioindicators in automated monitoring systems can provide real-time detection of emergency situations associated with the pollution of aquatic environments. The behavioral reactions of Unio pictorum (Linnaeus, 1758) were employed in the development of a comprehensive automated monitoring system for aquatic environments by the authors. The study used experimental data obtained by an automated system from the Chernaya River in the Sevastopol region of the Crimean Peninsula. Four traditional unsupervised machine learning techniques were implemented to detect emergency signals in the activity of bivalves: elliptic envelope, isolation forest (iForest), one-class support vector machine (SVM), and local outlier factor (LOF). The results showed that the use of the elliptic envelope, iForest, and LOF methods with proper hyperparameter tuning can detect anomalies in mollusk activity data without false alarms, with an F1 score of 1. A comparison of anomaly detection times revealed that the iForest method is the most efficient. These findings demonstrate the potential of using bivalve mollusks as bioindicators in automated monitoring systems for the early detection of pollution in aquatic environments. Full article

(This article belongs to the Special Issue Sensors and Sensor Networks for Water Monitoring in Fluvial and Marine Ecosystems)

► Show Figures

Graphical abstract

30 pages, 21647 KiB

Open AccessArticle

Discharge Monitoring in Open-Channels: An Operational Rating Curve Management Tool

by Michele Paoletti, Marco Pellegrini, Alberto Belli, Paola Pierleoni, Francesca Sini, Nicola Pezzotta and Lorenzo Palma

Sensors 2023, 23(4), 2035; https://doi.org/10.3390/s23042035 - 10 Feb 2023

Viewed by 2811

Abstract

An aspect correlated with climate change is certainly represented by the alternation of severe floods and relevant drought periods. Moreover, there is evidence that changes in climate and land cover are inducing changes in stream channel cross-sections, altering local channel capacity. A direct consequence of a significant change in the local channel capacity is that the relationship between the amount of water flowing at a given point in a river or stream (usually at gauging stations) and the corresponding stage in that section, known as a stage–discharge relationship or rating curve, is changed. The key messages deriving from the present work are: (a) the more frequent and extreme the floods become, the more rapid the changes in the stream channel cross-section become, (b) from an operational point of view, the collection and processing of field measurements of the stage and corresponding discharge at a given section in order to quickly and frequently update the rating curve becomes a priority. It is, therefore, necessary to define a control system for acquiring hydrological data capable of keeping river levels and discharges under control to support flood early warnings and water management. The proposed stage–discharge management system is used by the Civil Protection Service of the Marche Region (east-central Italy) for the monitoring of river runoff in the regional watersheds. The Civil Protection Service staff performs stage–discharge field measurements using water level sensors and recorders (e.g., staff gauges, submersible pressure transducers, ultrasound and radar sensors) and a current meter, acoustic doppler velocimeter, acoustic doppler current profilers, portable mobile radar profiler and salt dilution method equipment, respectively. Power functions are fitted to the stage–discharge field data. Furthermore, extrapolation is performed to cover the full range of flow measurements; in general, extrapolation is not an easy task because of sharp changes in the stream cross-section geometry for very high or very low stages. In the present work, we also focused attention on the application problems that occur in practice and the need for frequent updating. Full article

(This article belongs to the Special Issue Sensors and Sensor Networks for Water Monitoring in Fluvial and Marine Ecosystems)

► Show Figures

Figure 1

14 pages, 3798 KiB

Open AccessArticle

A Two-Step Simulated Annealing Algorithm for Spectral Data Feature Extraction

by Jian Pei, Liang Xu, Yitong Huang, Qingbin Jiao, Mingyu Yang, Ding Ma, Sijia Jiang, Hui Li, Yuhang Li, Siqi Liu, Wei Zhang, Jiahang Zhang and Xin Tan

Sensors 2023, 23(2), 893; https://doi.org/10.3390/s23020893 - 12 Jan 2023

Cited by 3 | Viewed by 2280

Abstract

To address the shortcomings in many traditional spectral feature extraction algorithms in practical application of low modeling accuracy and poor stability, this paper introduces the “Boruta algorithm-based local optimization process“ based on the traditional simulated annealing algorithm and proposes the “two-step simulated annealing algorithm (TSSA)”. This algorithm combines global optimization and local optimization. The Boruta algorithm ensures that the feature extraction results are all strongly correlated with the dependent variable, reducing data redundancy. The accuracy and stability of the algorithm model are significantly improved. The experimental results show that compared with the traditional feature extraction method, the accuracy indexes of the inversion model established by using the TSSA algorithm for feature extraction were significantly improved, with the determination coefficient R² of 0.9654, the root mean square error (RMSE) of 3.6723 μg/L, and the mean absolute error (MAE) of 3.1461 μg/L. Full article

(This article belongs to the Special Issue Sensors and Sensor Networks for Water Monitoring in Fluvial and Marine Ecosystems)

► Show Figures

Figure 1

25 pages, 6872 KiB

Open AccessArticle

Novel Deep-Water Tidal Meter for Offshore Aquaculture Infrastructures

by Javier Sosa and Juan-A. Montiel-Nelson

Sensors 2022, 22(15), 5513; https://doi.org/10.3390/s22155513 - 24 Jul 2022

Cited by 4 | Viewed by 2193

Abstract

This paper presents a tidal current meter that is based on the inertial acceleration principle for offshore infrastructures in deep water. Focusing on the marine installations of the aquaculture industry, we studied the forces of tides at a depth of 15 m by measuring the acceleration. In addition, we used a commercial MEMS triaxial accelerometer to record the acceleration values. A prototype of the tidal measurement unit was developed and tested at a real offshore aquaculture infrastructure in Gran Canaria, which is one of the Canary Islands in the Atlantic Ocean. The proposed tidal measurement unit was used as a recorder to assess the complexity of measuring the frequency of tidal currents in the short (10 min), medium (one day) and long term (one week). The acquired data were studied in detail, in both the time and frequency domains, to determine the frequency of the forces that were involved. Finally, the complexity of the frequency measurements from the captured data was analyzed in terms of sampling ratio and recording duration, from the point of view of using our proposed measurement unit as an ultra-low-power embedded system. The proposed device was tested for more than 180 days using a lithium-ion battery. This working period was three times greater than the best alternative in the literature because of the ultra-low-power design of the on-board embedded system. The measurement accuracy error was lower than 1% and the resolution was 0.01 cm/s for the 0.8 m/s velocity scale. This performance was similar to the best Doppler solution that was found in the literature. Full article

(This article belongs to the Special Issue Sensors and Sensor Networks for Water Monitoring in Fluvial and Marine Ecosystems)

► Show Figures

Figure 1

14 pages, 3497 KiB

Open AccessArticle

Comparison of Flows through a Tidal Inlet in Late Spring and after the Passage of an Atmospheric Cold Front in Winter Using Acoustic Doppler Profilers and Vessel-Based Observations

by Mingming Li and Chunyan Li

Sensors 2022, 22(9), 3478; https://doi.org/10.3390/s22093478 - 3 May 2022

Cited by 3 | Viewed by 1855

Abstract

This paper discusses the application of acoustic Doppler current profilers (ADCP) for the quantification of transport of water and the underlining physical mechanism. The transport of water through estuaries and tidal inlets is affected by tide, river flow, and wind. It is often assumed that wind effects in such systems are negligible unless under severe weather conditions. This study compares the ADCP-measured flows across a tidal inlet under weak wind conditions in late spring and those after the passage of an atmospheric cold front in winter. The Barataria Pass is a major inlet connecting Barataria Bay and northern Gulf of Mexico. The water exchange between the bay and coastal ocean is influenced by wind, especially in winter, because tide in the region is small (microtidal). The winter weather and late spring–summer weather are different. This difference results in different estuarine circulations. To examine this, two surveys were carried out with ship-mounted ADCPs—one in winter (19 December 2014) shortly after the passage of a cold front from the northwest, and the other in late spring (4 May 2015) with weak southeasterly winds. Distinctly different features of mean transport through the inlet were observed between the two surveys. The results from the first survey in winter showed that the total water transport was from the bay to the coastal ocean under northerly winds with intense outflows in shallow water, which is a typical signature of wind effects. The net flow was outward when the water level dropped. Data from the second survey in spring showed that the mid-channel water flew out of the bay (against the wind), whilst inflow appeared at both ends across the inlet, which was also a response to the weak wind stress and outward pressure gradient force set by the estuarine flow. The inflow at the eastern end (exceeding 0.1 m/s) is consistent with the idea that the coastal current resulted from the Mississippi River outflow enters the bay from the eastern end. The influence of tidal oscillations on water exchange appeared to be higher in the late spring data. The hydrographic observations in spring showed typical tidal straining features of an inverse estuary during the ebb–flood cycle, while salinity in the eastern shallow water generally varied with time, indicating the inflow of fresher water into the bay, confirming previous observations from summer 2008. Full article

(This article belongs to the Special Issue Sensors and Sensor Networks for Water Monitoring in Fluvial and Marine Ecosystems)

► Show Figures

Journal Menu

Journal Browser

Sensors and Sensor Networks for Water Monitoring in Fluvial and Marine Ecosystems

Share This Special Issue

Special Issue Editors

Special Issue Information

Benefits of Publishing in a Special Issue

Published Papers (6 papers)

Research

Further Information

Guidelines

MDPI Initiatives

Follow MDPI