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Sensors in Environmental Engineering

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

Deadline for manuscript submissions: closed (31 March 2024) | Viewed by 2003

Special Issue Editor


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Guest Editor
Graduate School of Engineering, Osaka University, Osaka 565-0871, Japan
Interests: computer-aided architectural design; virtual, augmented and mixed reality (VR/AR/MR); design engineering and simulation; three-dimensional data modeling; BIM (building information modeling); AI (artificial intelligence)

Special Issue Information

Dear Colleagues,

Environmental Engineering is the study of applying science and technology to maintain a sustainable and beneficial relationship between various human activities and the global environment. It covers a wide range of scales, including architectural, urban, regional, and global. The research areas include the following: architectural environmental engineering, which approaches the creation of human and environmentally friendly living spaces from both architectural technology and environmental studies; urban environmental engineering, which approaches the impact of human economic activities on the environment, waste and recycling, and other aspects of urban life from both comfort, health, and environmental preservation perspectives; and global environmental engineering, focusing on air and water cycles on a global scale to elucidate the mechanisms of pollution and disasters.

Recently, improving the sophistication of environmental engineering research has become an urgent issue, such as through the use of high-resolution and high-speed monitoring, analysis and inference, evaluation and visualization, and collaboration with computer science and information and communication technology, which is indispensable. Therefore, this Special Issue solicits and discusses a wide range of academic research results related to environmental engineering, using each or a combination of several emerging technologies: sensors, deep learning, and virtual and augmented reality.

Dr. Tomohiro Fukuda
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

  • architectural environmental engineering
  • urban environmental engineering
  • global environmental engineering
  • environmental monitoring
  • environmental simulation and visualization
  • environmental design
  • remote sensing
  • modeling, simulation, and analysis
  • artificial intelligence (AI), machine learning (ML), and deep learning (DL)
  • virtual, augmented, mixed, and diminished reality (VR/AR/MR/DR)
  • digital twin and metaverse
  • smart cities, smart buildings
  • Internet of Things (IoT), big data
  • drone

Published Papers (2 papers)

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Research

16 pages, 2960 KiB  
Article
A Smart Crop Water Stress Index-Based IoT Solution for Precision Irrigation of Wine Grape
by Fernando Fuentes-Peñailillo, Samuel Ortega-Farías, Cesar Acevedo-Opazo, Marco Rivera and Miguel Araya-Alman
Sensors 2024, 24(1), 25; https://doi.org/10.3390/s24010025 - 20 Dec 2023
Viewed by 907
Abstract
The Scholander-type pressure chamber to measure midday stem water potential (MSWP) has been widely used to schedule irrigation in commercial vineyards. However, the limited number of sites that can be evaluated using the pressure chamber makes it difficult to evaluate the spatial variability [...] Read more.
The Scholander-type pressure chamber to measure midday stem water potential (MSWP) has been widely used to schedule irrigation in commercial vineyards. However, the limited number of sites that can be evaluated using the pressure chamber makes it difficult to evaluate the spatial variability of vineyard water status. As an alternative, several authors have suggested using the crop water stress index (CWSI) based on low-cost thermal infrared (TIR) sensors to estimate the MSWP. Therefore, this study aimed to develop a low-cost wireless infrared sensor network (WISN) to monitor the spatial variability of MSWPs in a drip-irrigated Cabernet Sauvignon vineyard under two levels of water stress. For this study, the MLX90614 sensor was used to measure canopy temperature (Tc), and thus compute the CWSI. The results indicated that good performance of the MLX90614 infrared thermometers was observed under laboratory and vineyard conditions with root mean square error (RMSE) and mean absolute error (MAE) values being less than 1.0 °C. Finally, a good nonlinear correlation between the MSWP and CWSI (R2 = 0.72) was observed, allowing the development of intra-vineyard spatial variability maps of MSWP using the low-cost wireless infrared sensor network. Full article
(This article belongs to the Special Issue Sensors in Environmental Engineering)
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15 pages, 4076 KiB  
Article
Design of a Tension Infiltrometer with Automated Data Collection Using a Supervisory Control and Data Acquisition System
by David Alberto Morales-Ortega, Víctor Hugo Cambrón-Sandoval, Israel Ruiz-González, Hugo Luna-Soria, Juan Alfredo Hernández-Guerrero and Genaro García-Guzmán
Sensors 2023, 23(23), 9489; https://doi.org/10.3390/s23239489 - 29 Nov 2023
Viewed by 650
Abstract
This study highlights the importance of water infiltration in hydrological basin management, emphasizing its role in water services, water quality regulation, and temporal patterns. To measure this crucial function, this study introduces a portable and user-friendly tension infiltrometer designed for easy assembly and [...] Read more.
This study highlights the importance of water infiltration in hydrological basin management, emphasizing its role in water services, water quality regulation, and temporal patterns. To measure this crucial function, this study introduces a portable and user-friendly tension infiltrometer designed for easy assembly and data collection. The tension infiltrometer, based on the 2009 design by Spongrová and Kechavarzi, offers a comprehensive characterization of the soil properties related to water flow. It eliminates the influence of preferential flow, providing accurate data. Additionally, it accommodates changes in pore size distribution within the soil, which is crucial for understanding water movement. This study discusses the challenges associated with traditional infiltration measurement tools, like double-ring infiltrometers and single rings, which are not easily transported and can lead to inaccuracies. In response, the proposed infiltrometer simplifies data collection, making it accessible to a broader range of users. This study also explores the use of the VL53L0X distance sensor in the infiltrometer, providing an innovative solution for measuring the water column height. The system’s user interface allows real-time data collection and analysis, significantly reducing the processing time compared to that of the manual methods. Overall, this work demonstrates the potential for advancement in hydrological basin management using user-friendly instrumentation and automated data collection, paving the way for improved research and decision making in environmental services, conservation, and restoration efforts within these ecosystems. Full article
(This article belongs to the Special Issue Sensors in Environmental Engineering)
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