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Sensors and Sensor Systems for Hydrodynamics

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

Deadline for manuscript submissions: closed (31 January 2022) | Viewed by 25079

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Special Issue Editors

Dr. Aimé Lay-Ekuakille

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Department of Innovation Engineering, University of Salento, 73100 Lecce, Italy
Interests: instrumentation; measurement and sensors; biomedicine; environment; industry; nanotechnology; machine learning; photovoltaic panel aging
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Prof. Vito Telesca

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Department of Engineering, Università degli Studi della Basilicata, Potenza, Italy
Interests: climate change modeling; weather variability and human health; hydrological process monitoring and modeling
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Prof. Dr. Giuseppe Roberto Tomasicchio

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1. Department of Engineering, University of Salento, 73100 Lecce, Italy
2. European Maritime & Environmental Research - Campus Ecotekne, 73100 Lecce, Italy
Interests: water wave mechanics; ocean waves statistics; coastal engineering; sediment transport processes; breakwaters; climate change impact at coastal zone; offshore renewable energy
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Dr. Giuseppe Passarella

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National Research Council, Water Research Institute, 70100 Bari, Italy
Interests: characterization of water monitoring information; spatiotemporal processing; water monitoring design and optimization; methods for uncertainty assessment related to water monitoring; methods for defining qualitative–quantitative characteristics of water systems
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Dr. Sabino Maggi

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National Research Council, Institute of Atmospheric Pollution Research, 70125 Bari, Italy
Interests: environmental measurements; data analysis; data mining and optimization by evolutionary algorithms; nanotechnology; fabrication and characterization of electrical sensors; sensors physics; metrology
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Special Issue Information

Dear Colleagues,

Open channels, rivers, lakes, marine coasts, and subterranean aquifers are primarily influenced by their hydrodynamics that impacts on water quality and quantity. However, in many circumstances, this influence has severe consequences on physical structures, such as their shape or degradation level. In the midst of the aforementioned considerations, a special interest arises in the use of sensing systems on board of buoys, capable of detecting close dynamical conditions, and far-away phenomena with specific retardation,; e.g., tsunami and bradyseism. Sensors technology is an opportunity to monitor water dynamics to prevent unexpected phenomena and allow better conditions of water flow and basin management. Automatic measuring systems for environmental monitoring based on innovative physical, chemical or biological principles are under constant development, together with the associated technology for data collection, logging, and transmission. All these systems require extreme reliability, ease of use, and cost-effectiveness not only in manufacturing, but also in operation and maintenance. Potential topics include but are not limited to:

Sensors design, construction, and testing;
Basin shape degradation monitoring;
Coastal monitoring techniques;
Rivers, lakes, and open channels monitoring;
Sensors systems and technologies;
Wells, groundwaters, and aquifers monitoring;
Measurements;
Metrological aspects;
Modeling and statistics;
Cyber-physical systems and IoT;
Tsunami, bradyseism, and high waves.

Prof. Dr. Aime' Lay-Ekuakille
Prof. Dr. Vito Telesca
Prof. Dr. Giuseppe Tomasicchio
Dr. Giuseppe Passarella
Dr. Sabino Maggi
Guest Editors

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Keywords

sensors technologies
sensor systems for water flow
hydrodynamics monitoring of rivers, lakes, seas, and coasts
aquifers and subterranean flows
wells monitoring
sensors signal processing
remote sensing and signal transmission
cyber-physical systems and environmental monitoring
modeling
water infrastructure degradation monitoring
extreme phenomenon in open channel hydraulics

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Published Papers (8 papers)

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Research

22 pages, 14881 KiB

Open AccessArticle

Layer-Averaged Water Temperature Sensing in a Lake by Acoustic Tomography with a Focus on the Inversion Stratification Mechanism

by Shijie Xu, Zhao Xue, Xinyi Xie, Haocai Huang and Guangming Li

Sensors 2021, 21(22), 7448; https://doi.org/10.3390/s21227448 - 9 Nov 2021

Cited by 7 | Viewed by 1891

Abstract

Continuous sensing of water parameters is of great importance to fluid dynamic progress study in oceans, coastal areas and inland waters. The acoustic tomography technique can perform water temperature field measurements horizontally and vertically using sound wave travel information. The layer-averaged water temperature can also be measured with the acoustic tomography method. However, investigations focusing on the stratified mechanism, which consists of stratification form and its influence on inversion error, are seldom performed. In this study, an acoustic tomography experiment was carried out in a reservoir along two vertical slices to observe the layer-averaged water temperature. Specifically, multi-path sound travel information is identified through ray tracing using high-precision topography data obtained via a ship-mounted ADCP during the experiment. Vertical slices between sound stations are divided into different layers to study layer division inversion methods in different preset types. The inversion method is used to calculate the average water temperature and inversion temperature error of every layer. Different layer methods are studied with a comparison of results. The layer division principle studied in this paper can be used for layer-averaged water temperature sensing with multi-path sound transmission information. Full article

(This article belongs to the Special Issue Sensors and Sensor Systems for Hydrodynamics)

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17 pages, 4207 KiB

Open AccessArticle

Measurement of Water Level in Urban Streams under Bad Weather Conditions

by Joaquim Amândio Azevedo and João André Brás

Sensors 2021, 21(21), 7157; https://doi.org/10.3390/s21217157 - 28 Oct 2021

Cited by 7 | Viewed by 2408

Abstract

Flood control and water resources management require monitoring the water level in rivers and streams. Water level measurement techniques increasingly consider image processing procedures. Most of the systems use a staff gauge to support the waterline detection. However, these techniques can fail when applied to urban stream channels due to water undulation, debris on the water surface, and traces of rain captured by the camera, and other adverse effects on images can be quite dramatic on the results. The importance of considering these effects is that they are usually associated with the variation in the water level with the occurrence of rain. The technique proposed in this work uses a larger detection zone to minimize the effects that tend to obstruct the waterline. The developed system uses an infrared camera to operate during the day and night. Images acquired in different weather conditions helped to evaluate the proposed technique. The water level measurement accuracy was about 1.8 cm for images taken during the day and 2.8 cm for images taken at night. During short periods of heavy rain, the accuracy was 2.6 cm for the daytime and 3.4 cm for the nighttime. Infrared lighting can improve detection accuracy at night. The developed technique provides good accuracy under different weather conditions by combining information from various detection positions to deal with waterline detection issues. Full article

(This article belongs to the Special Issue Sensors and Sensor Systems for Hydrodynamics)

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16 pages, 35194 KiB

Open AccessArticle

Video-Sensing Characterization for Hydrodynamic Features: Particle Tracking-Based Algorithm Supported by a Machine Learning Approach

by Aimé Lay-Ekuakille, John Djungha Okitadiowo, Moïse Avoci Ugwiri, Sabino Maggi, Rita Masciale and Giuseppe Passarella

Sensors 2021, 21(12), 4197; https://doi.org/10.3390/s21124197 - 18 Jun 2021

Cited by 4 | Viewed by 2139

Abstract

The efficient and reliable monitoring of the flow of water in open channels provides useful information for preventing water slow-downs due to the deposition of materials within the bed of the channel, which might lead to critical floods. A reliable monitoring system can thus help to protect properties and, in the most critical cases, save lives. A sensing system capable of monitoring the flow conditions and the possible geo-environmental constraints within a channel can operate using still images or video imaging. The latter approach better supports the above two features, but the acquisition of still images can display a better accuracy. To increase the accuracy of the video imaging approach, we propose an improved particle tracking algorithm for flow hydrodynamics supported by a machine learning approach based on a convolutional neural network-evolutionary fuzzy integral (CNN-EFI), with a sub-comparison performed by multi-layer perceptron (MLP). Both algorithms have been applied to process the video signals captured from a CMOS camera, which monitors the water flow of a channel that collects rain water from an upstream area to discharge it into the sea. The channel plays a key role in avoiding upstream floods that might pose a serious threat to the neighboring infrastructures and population. This combined approach displays reliable results in the field of environmental and hydrodynamic safety. Full article

(This article belongs to the Special Issue Sensors and Sensor Systems for Hydrodynamics)

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16 pages, 5311 KiB

Open AccessArticle

Accurate Spectral Estimation Technique Based on Decimated Linear Predictor for Leak Detection in Waterworks

by Aimé Lay-Ekuakille, Vito Telesca, Paolo Visconti and Nicola Ivan Giannoccaro

Sensors 2021, 21(6), 2185; https://doi.org/10.3390/s21062185 - 20 Mar 2021

Cited by 1 | Viewed by 2330

Abstract

Rural pipelines dedicated to water distribution, that is, waterworks, are essential for agriculture, notably plantations and greenhouse cultivation. Water is a primary resource for agriculture, and its optimized management is a key aspect. Saving water dispersion is not only an economic problem but also an environmental one. Spectral estimation of leakage is based on processing signals captured from sensors and/or transducers generally mounted on pipelines. There are different techniques capable of processing signals and displaying the actual position of leaks. Not all algorithms are suitable for all signals. That means, for pipelines located underground, for example, external vibrations affect the spectral response quality; then, depending on external vibrations/noises and flow velocity within pipeline, one should choose a suitable algorithm that fits better with the expected results in terms of leak position on the pipeline and expected time for localizing the leak. This paper presents findings related to the application of a decimated linear prediction (DLP) algorithm for agriculture and rural environments. In a certain manner, the application also detects the hydrodynamics of the water transportation. A general statement on the issue, DLP illustration, a real application and results are also included. Full article

(This article belongs to the Special Issue Sensors and Sensor Systems for Hydrodynamics)

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18 pages, 1397 KiB

Open AccessCommunication

Direct Scaling of Measure on Vortex Shedding through a Flapping Flag Device in the Open Channel around a Cylinder at Re∼10³: Taylor’s Law Approach

by Samuele De Bartolo, Massimo De Vittorio, Antonio Francone, Francesco Guido, Elisa Leone, Vincenzo Mariano Mastronardi, Andrea Notaro and Giuseppe Roberto Tomasicchio

Sensors 2021, 21(5), 1871; https://doi.org/10.3390/s21051871 - 8 Mar 2021

Cited by 1 | Viewed by 3363

Abstract

The problem of vortex shedding, which occurs when an obstacle is placed in a regular flow, is governed by Reynolds and Strouhal numbers, known by dimensional analysis. The present work aims to propose a thin films-based device, consisting of an elastic piezoelectric flapping [...] Read more.

R e \sim 10^{3}

in the open channel. For these values, Strouhal number obtained in such way is in accordance with the results known in literature. Moreover, the development of the voltage over time, generated by the flapping flag under the load due to flow field, shows a highly fluctuating behavior and satisfies Taylor’s law, observed in several complex systems. This provided useful information about the flow field through the constitutive law of the device. Full article

(This article belongs to the Special Issue Sensors and Sensor Systems for Hydrodynamics)

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15 pages, 4453 KiB

Open AccessArticle

Evidence of Preferential Flow Activation in the Vadose Zone via Geophysical Monitoring

by Lorenzo De Carlo, Kimberlie Perkins and Maria Clementina Caputo

Sensors 2021, 21(4), 1358; https://doi.org/10.3390/s21041358 - 14 Feb 2021

Cited by 11 | Viewed by 2917

Abstract

Preferential pathways allow rapid and non-uniform water movement in the subsurface due to strong heterogeneity of texture, composition, and hydraulic properties. Understanding the importance of preferential pathways is crucial, because they have strong impact on flow and transport hydrodynamics in the unsaturated zone. Particularly, improving knowledge of the water dynamics is essential for estimating travel time through soil to quantify hazards for groundwater, assess aquifer recharge rates, improve agricultural water management, and prevent surface stormflow and flooding hazards. Small scale field heterogeneities cannot be always captured by the limited number of point scale measurements collected. In order to overcome these limitations, noninvasive geophysical techniques have been widely used in the last decade to predict hydrodynamic processes, due to their capability to spatialize hydrogeophysical properties with high resolution. In the test site located in Bari, Southern Italy, the geophysical approach, based on electrical resistivity tomography (ERT) monitoring, has been implemented to detect preferential pathways triggered by an artificial rainfall event. ERT-derived soil moisture estimations were obtained in order to quantitatively predict the water storage (m³m⁻³), water velocity (ms⁻¹), and spread (m²) through preferential pathways by using spatial moments analysis. Full article

(This article belongs to the Special Issue Sensors and Sensor Systems for Hydrodynamics)

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18 pages, 5224 KiB

Open AccessArticle

Monitoring Soil Moisture Dynamics Using Electrical Resistivity Tomography under Homogeneous Field Conditions

by Steven M. de Jong, Renée A. Heijenk, Wiebe Nijland and Mark van der Meijde

Sensors 2020, 20(18), 5313; https://doi.org/10.3390/s20185313 - 17 Sep 2020

Cited by 31 | Viewed by 5140

Abstract

There is a gap between lab experiments where resistivity–soil moisture relations are generally very good and field studies in complex environmental settings where relations are always less good and complicated by many factors. An experiment was designed where environmental settings are more controlled, the best outside laboratory, to assess the transferability from lab to outdoor. A field experiment was carried out to evaluate the use of electric resistivity tomography (ERT) for monitoring soil moisture dynamics over a period of 67 days. A homogeneous site in the central part of The Netherlands was selected consisting of grass pasture on an aeolian sand soil profile. ERT values were correlated to gravimetric soil moisture samples for five depths at three different dates. Correlations ranged from 0.43 to 0.73 and were best for a soil depth of 90 cm. Resistivity patterns over time (time-lapse ERT) were analyzed and related to rainfall events where rainfall infiltration patterns could be identified. Duplicate ERT measurements showed that the noise level of the instrument and measurements is low and generally below 3% for the soil profile below the mixed layer but above the groundwater. Although the majority of the measured resistivity patterns could be well explained, some artefacts and dynamics were more difficult to clarify, even so in this homogeneous field situation. The presence of an oak tree with its root structure and a ditch with surface water with higher conductivity may have an impact on the resistivity pattern in the soil profile and over time. We conclude that ERT allows for detailed spatial measurement of local soil moisture dynamics resulting from precipitation although field experiments do not yield accuracies similar to laboratory experiments. ERT approaches are suitable for detailed spatial analyses where probe or sample-based methods are limited in reach or repeatability. Full article

(This article belongs to the Special Issue Sensors and Sensor Systems for Hydrodynamics)

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17 pages, 2559 KiB

Open AccessArticle

Sampling Methods for Metocean Data Aiming at Hydrodynamic Modeling of Estuarine and Coastal Areas

by Jose Otavio Goulart Pecly, Paulo Cesar Colonna Rosman and Carlos Eduardo Parente Ribeiro

Sensors 2020, 20(6), 1732; https://doi.org/10.3390/s20061732 - 20 Mar 2020

Cited by 1 | Viewed by 3075

Abstract

Field observations require adequate metocean data gathering to promote the link between environmental diagnostic and prognostic obtained from modeling techniques. In general, model confidence can be improved by using data which present better quality and by improved parametrizations. This paper discusses and suggests timing routines for data gathering which are enough to describe the hydrodynamic behavior of estuarine and coastal areas. From the environmental diagnostics viewpoint, a sampling procedure is defined to the temporal scales providing data with adequate resolution to describe the natural process without signal aliasing. The proposed sampling procedure was based on the analysis of a data set of tides, currents, waves, water temperature, and meteorological variables observed at several stations along the Brazilian coast. The instrument setup was based mainly on the results of the harmonic analysis of tides. It is shown that the setup of instruments for simultaneous measurements of currents and waves requires special attention particularly in sites that present low currents and the action of waves. A subset of data gathered in shallow bays was used to estimate the surface turbulent stress by using a classical and a slightly modified parametrization for the wind drag coefficient. Under near neutral atmospheric stability conditions and high tide excursion, the surface turbulent stress obtained with the classical and the modified parametrization differed but the current profiles are expected to be only partially affected by wind-induced drift currents. Full article

(This article belongs to the Special Issue Sensors and Sensor Systems for Hydrodynamics)

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