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Journal articles on the topic 'Water detection'

Author: Grafiati

Published: 25 May 2024

Last updated: 25 July 2025

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1

Sankary, Nathan, and Avi Ostfeld. "Analyzing multi-variate water quality signals for water quality monitoring station placement in water distribution systems." Journal of Hydroinformatics 20, no. 6 (2018): 1323–42. http://dx.doi.org/10.2166/hydro.2018.162.

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Abstract Placing fixed water quality monitoring stations in a water distribution system can greatly improve the security of the system via prompt detection of poor water quality. In the event that a harmful substance is injected into a water distribution system, large populations can be put at risk of exposure to the contaminant. Promptly detecting the presence of a contaminant will reduce the number of people put at risk of exposure. However, to protect against a wide variety of possible contaminants, a water quality monitoring station will need to identify contamination via recognition of an

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Wang, Jie, and Hong Zhao. "Improved YOLOv8 Algorithm for Water Surface Object Detection." Sensors 24, no. 15 (2024): 5059. http://dx.doi.org/10.3390/s24155059.

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To address the issues of decreased detection accuracy, false detections, and missed detections caused by scale differences between near and distant targets and environmental factors (such as lighting and water waves) in surface target detection tasks for uncrewed vessels, the YOLOv8-MSS algorithm is proposed to be used to optimize the detection of water surface targets. By adding a small target detection head, the model becomes more sensitive and accurate in recognizing small targets. To reduce noise interference caused by complex water surface environments during the downsampling process in t

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Mary Mathew, Cilla. "Coal Mine Water Level Detection and Reusability." International Journal of Science and Research (IJSR) 10, no. 10 (2021): 1155–57. https://doi.org/10.21275/sr211022121031.

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Tijare, Paras, Aryan Bijwe, Vedansh Mulani, Atharva Gulhane, Jay Mawande, and R. M. Gharat. "IoT Based Water Pipeline Leakage Detection System." International Journal of Research Publication and Reviews 6, no. 4 (2025): 8231–36. https://doi.org/10.55248/gengpi.6.0425.1521.

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5

Najam, Liath Ahmed, Hazim Louis Mansour, Nada Fadhil Tawfiq, and Mahmood Salim Karim. "Measurement of Radon Gas Concentrations in Tap Water Samples for Thi-Qar Governorate Using Nuclear Track Detector (CR-39)." Detection 04, no. 01 (2016): 1–8. http://dx.doi.org/10.4236/detection.2016.41001.

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6

Cao, Hui-Wen, Yu-Peng Jing, Shi-Rui Zhao, et al. "A discovery of an ultra-pure water detection method based on water mark." Modern Physics Letters B 29, no. 03 (2015): 1450271. http://dx.doi.org/10.1142/s0217984914502716.

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The purity evaluation of deionized (DI) water is highly desirable for VLSI or ULSI industry, as the traditional "reverse osmosis filter" cannot always meet the requirement towards the DI water. The filtered DI water may still contain many contaminations which are not up to the standard for the wet cleaning of wafer surface. A novel method is presented by analyzing the residues of a water droplet after the low-temperature evaporation. The contamination contained in the water will remain during the gasification. By analyzing the residual contamination's morphology, the purity of the DI water can

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Alsamman, A., and M. Syed. "RGB-BASED DEEP SURFACE WATER CONTOUR DETECTION." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2022 (May 30, 2022): 827–32. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2022-827-2022.

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Abstract. The application of remote monitoring of surface water has focused primarily on the detection of water bodies using expensive multi-spectral IR sensors. However, critical information about surface water bodies, particularly the dynamic behavior, is better derived from water contours. We show that water body detection is inadequate in accurately capturing the contours. Furthermore, we argue that RGB-based detection should be sufficient for accurate water detection. We present a new global dataset of remote sensing images obtained from Sentinel-2 and Landsat-8 missions and contour label

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Zhang, Chuanhao. "Miniaturized detection devices powered by various heaters: A quick review under the background of water-borne disease epidemics." Advances in Engineering Technology Research 9, no. 1 (2024): 670. http://dx.doi.org/10.56028/aetr.9.1.670.2024.

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With the progress of society and the development of productivity, the problem of water pollution and water shortage caused by water pollution is becoming more and more serious. Water-borne diseases caused by pathogenic microorganisms also bring great harm to human beings and other life forms. These microorganisms include bacteria, viruses, protozoa, and parasitic pathogens. Traditional detection methods are time-consuming and costly, and can’t meet the needs of water resource detection. Therefore, there is an urgent need for accurate, rapid, specific, and portable detection equipment for detec

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Wang, Tongfei, Jiping Niu, Haoran Pang, Xiaoyu Meng, Ruqian Sun, and Jiaqing Xie. "Development of a Portable Residual Chlorine Detection Device with a Combination of Microfluidic Chips and LS-BP Algorithm to Achieve Accurate Detection of Residual Chlorine in Water." Micromachines 15, no. 8 (2024): 1045. http://dx.doi.org/10.3390/mi15081045.

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Chlorine is widely used for sterilization and disinfection of water, but the presence of excess residual chlorine in water poses a substantial threat to human health. At present, there is no portable device which can achieve accurate, rapid, low-cost, and convenient detection of residual chlorine in water. Therefore, it is necessary to develop a device that can perform accurate, rapid, low-cost, and convenient detection of residual chlorine in water. In this study, a portable residual chlorine detection device was developed. A microfluidic chip was studied to achieve efficient mixing of two-ph

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Li, Yu, Jinggang Chu, Guozhen Wei, Sifan Jin, Tiantian Yang, and Bo Li. "Robust Placement of Water Quality Sensor for Long-Distance Water Transfer Projects Based on Multi-Objective Optimization and Uncertainty Analysis." Sustainability 13, no. 4 (2021): 1834. http://dx.doi.org/10.3390/su13041834.

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It is important to place water quality sensors along open channels in long-distance water transfer projects optimally for rapid source identification and efficient management of sudden water contamination. A new framework which considers multiple objectives, including earliest detection time, lowest missing detection rate and lowest sensor cost, and combines the randomness of injected contaminant type and contaminant incident consisting of contaminant intrusion location, time and mass, was established to obtain optimal placement of water quality sensor with better robustness in this paper. The

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Daniel Banda, Yamiko. "Machine Learning - Based Fault Detection and Water Quality Analysis in IoT - Enabled Water Pipeline System." International Journal of Science and Research (IJSR) 12, no. 6 (2023): 2662–67. http://dx.doi.org/10.21275/sr23623093810.

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12

Ge, Hongyi, Zhenyu Sun, Yuying Jiang, et al. "Recent Advances in THz Detection of Water." International Journal of Molecular Sciences 24, no. 13 (2023): 10936. http://dx.doi.org/10.3390/ijms241310936.

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The frequency range of terahertz waves (THz waves) is between 0.1 and 10 THz and they have properties such as low energy, penetration, transients, and spectral fingerprints, which are especially sensitive to water. Terahertz, as a frontier technology, have great potential in interpreting the structure of water molecules and detecting biological water conditions, and the use of terahertz technology for water detection is currently frontier research, which is of great significance. Firstly, this paper introduces the theory of terahertz technology and summarizes the current terahertz systems used

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Chen, Fuxun, Lanxin Zhang, Siyu Kang, et al. "Soft-NMS-Enabled YOLOv5 with SIOU for Small Water Surface Floater Detection in UAV-Captured Images." Sustainability 15, no. 14 (2023): 10751. http://dx.doi.org/10.3390/su151410751.

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In recent years, the protection and management of water environments have garnered heightened attention due to their critical importance. Detection of small objects in unmanned aerial vehicle (UAV) images remains a persistent challenge due to the limited pixel values and interference from background noise. To address this challenge, this paper proposes an integrated object detection approach that utilizes an improved YOLOv5 model for real-time detection of small water surface floaters. The proposed improved YOLOv5 model effectively detects small objects by better integrating shallow and deep f

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Higashi, Yasuhiko. "Development of Simultaneous HPLC-Fluorescence Assay of Phenol and Chlorophenols in Tap Water after Pre-Column Derivatization with 3-Chlorocarbonyl-6,7-dimethoxy-1- methyl-2(1<i>H</i>)-quinoxalinone." Detection 04, no. 01 (2016): 16–24. http://dx.doi.org/10.4236/detection.2016.41003.

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Wang, Wenkai, Xiangyang Xu, and Hao Yang. "Intelligent Detection of Tunnel Leakage Based on Improved Mask R-CNN." Symmetry 16, no. 6 (2024): 709. http://dx.doi.org/10.3390/sym16060709.

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The instance segmentation model based on deep learning has addressed the challenges in intelligently detecting water leakage in shield tunneling. Due to the limited generalization ability of the baseline model, occurrences of missed detections, false detections, and repeated detections are encountered during the actual detection of tunnel water leakage. This paper adopts Mask R-CNN as the baseline model and introduces a mask cascade strategy to enhance the quality of positive samples. Additionally, the backbone network in the model is replaced with RegNetX to enlarge the model’s receptive fiel

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Yang, Jingxi, Qi Ma, Huabo Xiao, et al. "Multi-Means Comprehensive Forecasting Technology for Water Inrush in Long Tunnels." Applied Sciences 15, no. 6 (2025): 3332. https://doi.org/10.3390/app15063332.

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In response to the challenges of detecting and forecasting adverse geological bodies and water inrush risks in long tunnels, this paper, based on the comprehensive analysis of seismic reflection waves and electroseismic effect coupling, has achieved a long-distance tunnel construction process, adverse geological detection, and early warning, and has realized precise forecasting of the scale and location of adverse water-containing bodies. Meanwhile, the transient electromagnetic theory and technology for detecting the position and scale of water-containing bodies have been proposed, achieving

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Kwietniewski, Marian, Piotr Świercz, and Jarosław Chudzicki. "Modern methods for monitoring water leakages in water networks." Studia Geotechnica et Mechanica 44, no. 1 (2022): 53–65. http://dx.doi.org/10.2478/sgem-2022-0001.

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Abstract The main idea of this article is to adopt the thesis that the main and, at the same time, the most effective (apart from proper maintenance and operation) element of the strategy of limiting water losses in water supply networks is continuous integrated monitoring of the network using the latest achievements of IT technologies, including GIS (Geographical Information System), GPS (Global Positioning System), GSM (The Global System for Mobile Communications) and software based on a cloud platform. Considering the above, the paper highlights the problem of leakages against the backgroun

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Wongniramaikul, Worawit, and Aree Choodum. "Synthesis of Polymer Sensor for Detection of Phosphate in Water." International Journal of Chemical Engineering and Applications 8, no. 3 (2017): 221–25. http://dx.doi.org/10.18178/ijcea.2017.8.3.660.

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19

Assaf, Abdulmalik T., Khamis N. Sayl, and Ammar Adham. "Surface Water Detection Method for Water Resources Management." Journal of Physics: Conference Series 1973, no. 1 (2021): 012149. http://dx.doi.org/10.1088/1742-6596/1973/1/012149.

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Ahmad Fuad, Z., H. S. Eddy, Y. Badronnisa, and I. Syazwani. "Water leak detection method in water distribution network." IOP Conference Series: Earth and Environmental Science 357 (November 25, 2019): 012033. http://dx.doi.org/10.1088/1755-1315/357/1/012033.

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21

Ding, Qi, Chen Li, Haijun Wang, Chuanlai Xu, and Hua Kuang. "Electrochemical detection of heavy metal ions in water." Chemical Communications 57, no. 59 (2021): 7215–31. http://dx.doi.org/10.1039/d1cc00983d.

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Electrochemical sensors demonstrate outstanding performance at detecting heavy metal ions, with a high specific surface area and high sensitivity which can excellently complete the on-site detection of trace heavy metal ions in water.

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22

Villacorta-Rath, Cecilia, Conrad J. Hoskin, Jan M. Strugnell, and Damien Burrows. "Long distance (>20 km) downstream detection of endangered stream frogs suggests an important role for eDNA in surveying for remnant amphibian populations." PeerJ 9 (September 27, 2021): e12013. http://dx.doi.org/10.7717/peerj.12013.

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Background Globally, amphibian species have suffered drastic population declines over the past 40 years. Hundreds of species are now listed as Critically Endangered, with many of these considered “possibly extinct”. Most of these species are stream-dwelling frogs inhabiting remote, montane areas, where remnant populations are hard to find using traditional surveys. Environmental DNA (eDNA) could revolutionize surveys for ‘missing’ and endangered amphibian populations by screening water samples from downstream sections to assess presence in the upstream catchments. However, the utility of this

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23

Utomo, Satryo B., Januar Fery Irawan, and Rizqi Renafasih Alinra. "Early warning flood detector adopting camera by Sobel Canny edge detection algorithm method." Indonesian Journal of Electrical Engineering and Computer Science 22, no. 3 (2021): 1796–802. https://doi.org/10.11591/ijeecs.v22.i3.pp1796-1802.

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Early warning of floods is an essential part of disaster management. Various automatic detectors have been developed in flood mitigation, including cameras. But reliability and accuracy have not been improved. Besides, the use of monitoring devices has been employed to monitor water levels in various water building facilities. The early warning flood detector was carried out with a sensor camera using an orange ball that floats near the water level gauge in a bounding box. This approach uses the integration of computer vision and image processing, namely digital image processing techniques, wi

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Guo, Yuchen, Chunhong Liu, Rongke Ye, and Qingling Duan. "Advances on Water Quality Detection by UV-Vis Spectroscopy." Applied Sciences 10, no. 19 (2020): 6874. http://dx.doi.org/10.3390/app10196874.

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Water resources are closely linked to human productivity and life. Owing to the deteriorating water resources environment, accurate and rapid determination of the main water quality parameters has become a current research hotspot. Ultraviolet-visible (UV-Vis) spectroscopy offers an effective tool for qualitative analysis and quantitative detection of contaminants in a water environment. In this review, the principle and application of UV-Vis technology in water quality detection were studied. The principle of UV-Vis spectroscopy for detecting water quality parameters and the method of modelin

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Krishnan, Rahul, R. Ganesh Babu, K. Lalitha, S. Vanaja, and Keren Naomi Devnesh. "Autonomous Underground Water Detection Robot." IOP Conference Series: Materials Science and Engineering 1055, no. 1 (2021): 012002. http://dx.doi.org/10.1088/1757-899x/1055/1/012002.

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26

Bugle, Charles, Sarah Andrew, and Julia Heath. "Early Detection of WATER Intoxication." Journal of Psychosocial Nursing and Mental Health Services 30, no. 11 (1992): 31–34. http://dx.doi.org/10.3928/0279-3695-19921101-10.

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Holnicki-Szulc, Jan, Przemyslaw Kolakowski, and Nagib Nasher. "Leakage Detection in Water Networks." Journal of Intelligent Material Systems and Structures 16, no. 3 (2005): 207–19. http://dx.doi.org/10.1177/1045389x05049169.

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28

Lewis, B. M., and D. Engels. "Efficient detection of water masers." Nature 332, no. 6159 (1988): 49–51. http://dx.doi.org/10.1038/332049a0.

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Depauw, Alexis, Laura Jonusauskaite, Rasta Ghasemi, et al. "A Highly Sensitive and Selective Optical Sensor for the On-Line Detection of Cesium in Water." Sensors 23, no. 18 (2023): 7826. http://dx.doi.org/10.3390/s23187826.

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In this study, we have undertaken the development of two fluorescent sensors based on calixarene compounds for the purpose of detecting cesium in water. By introducing the sulfonate functional groups, we have considerably improved the water solubility of sensors, enabling complete dissolution of products in aqueous media and direct analysis of polluted water samples. Through rigorous experiments, we have demonstrated that the complexation of Cs+ ions with sensors 1 and 2 in water leads to a remarkable enhancement of fluorescence. This fluorescence enhancement serves as a reliable indication of

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OS, Job, Bala JD, Abubakar AN, Mustapha A, Innocent OM, and Friday NN. "Nanotechnology in Water Quality: Assessment Application for Microbial Detection and Control." Open Access Journal of Microbiology & Biotechnology 9, no. 4 (2024): 1–4. http://dx.doi.org/10.23880/oajmb-16000308.

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Evaluation of water quality is critical for assuring the safety of drinking water, especially with the increasing incidence of microbiological pollutants. Traditional microbial detection and control methods, while successful, are time-consuming and may lack the sensitivity needed to detect infections at low concentrations. Nanotechnology has emerged as a significant tool in this field, providing novel approaches to quick pathogen identification and efficient disinfection. This review provides an overview of the latest developments in nanotechnology for assessing water quality, with a focus on

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Eckner, Karl F. "Comparison of Membrane Filtration and Multiple-Tube Fermentation by the Colilert and Enterolert Methods for Detection of Waterborne Coliform Bacteria, Escherichia coli, and Enterococci Used in Drinking and Bathing Water Quality Monitoring in Southern Sweden." Applied and Environmental Microbiology 64, no. 8 (1998): 3079–83. http://dx.doi.org/10.1128/aem.64.8.3079-3083.1998.

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ABSTRACT A total of 338 water samples, 261 drinking water samples and 77 bathing water samples, obtained for routine testing were analyzed in duplicate by Swedish standard methods using multiple-tube fermentation or membrane filtration and by the Colilert and/or Enterolert methods. Water samples came from a wide variety of sources in southern Sweden (Skåne). The Colilert method was found to be more sensitive than Swedish standard methods for detecting coliform bacteria and of equal sensitivity for detecting Escherichia coli when all drinking water samples were grouped together. Based on these

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Liu, Guoqin, Vyacheslav Aranchuk, Likun Zhang, and Craig J. Hickey. "Laser-acoustic detection of objects buried underwater." Journal of the Acoustical Society of America 153, no. 3_supplement (2023): A53. http://dx.doi.org/10.1121/10.0018138.

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An object buried underwater such as landmines can potentially be excited to vibrate by a sound source in air. The vibration then radiates a secondary wave in the water to excite the water surface vibration which can be detected by a laser sensor. This idea of laser-acoustic detection of buried objects is effective in detecting objects buried under ground where the object is mechanically excited and the ground surface vibration is scanned by the laser sensor. When applying this approach to detect objects buried underwater, the addition of the water layer has an impact on the flexibility of the

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Kahn, Rebecca, Gordana Derado, Elizabeth J. Hannapel, Patrick Vander Kelen, Jasen M. Kunz, and Chris Edens. "Factors Associated with Legionella Detection in the Water Systems of National Lodging Organization Facilities with Water Management Programs in the United States." International Journal of Environmental Research and Public Health 21, no. 7 (2024): 939. http://dx.doi.org/10.3390/ijerph21070939.

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A better understanding of risk factors and the predictive capability of water management program (WMP) data in detecting Legionella are needed to inform the efforts aimed at reducing Legionella growth and preventing outbreaks of Legionnaires’ disease. Using WMPs and Legionella testing data from a national lodging organization in the United States, we aimed to (1) identify factors associated with Legionella detection and (2) assess the ability of WMP disinfectant and temperature metrics to predict Legionella detection. We conducted a logistic regression analysis to identify WMP metrics associat

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Halimshah, N. N., A. Yusup, Z. Mat Amin, and M. D. Ghazalli. "VISUAL INSPECTION OF WATER LEAKAGE FROM GROUND PENETRATING RADAR RADARGRAM." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-2/W2 (October 19, 2015): 191–98. http://dx.doi.org/10.5194/isprsannals-ii-2-w2-191-2015.

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Water loss in town and suburban is currently a significant issue which reflect the performance of water supply management in Malaysia. Consequently, water supply distribution system has to be maintained in order to prevent shortage of water supply in an area. Various techniques for detecting a mains water leaks are available but mostly are time-consuming, disruptive and expensive. In this paper, the potential of Ground Penetrating Radar (GPR) as a non-destructive method to correctly and efficiently detect mains water leaks has been examined. Several experiments were designed and conducted to p

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Li, Xiao Feng. "Water Film Detection in Water Distribution Test of PCCS." Applied Mechanics and Materials 385-386 (August 2013): 663–67. http://dx.doi.org/10.4028/www.scientific.net/amm.385-386.663.

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In the passive containment cooling system (PCCS), water distribution tests are essential to verify the water distribution devices performance. Without regular boundaries and homogeneous intensities, images of water film acquired from these tests are hard to be detected by conventional approaches. We propose an improved segmentation method to identify the water film areas from the complex background. Considering the gray distortion resulted from asymmetric illumination, the method combines the modified motion segmentation and optimal threshold method. Detection results show that this method is

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Li, Zhi, and Mingshan Zhu. "Detection of pollutants in water bodies: electrochemical detection or photo-electrochemical detection?" Chemical Communications 56, no. 93 (2020): 14541–52. http://dx.doi.org/10.1039/d0cc05709f.

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Dias, Maurício Araújo, Erivaldo Antônio da Silva, Samara Calçado de Azevedo, Wallace Casaca, Thiago Statella, and Rogério Galante Negri. "An Incongruence-Based Anomaly Detection Strategy for Analyzing Water Pollution in Images from Remote Sensing." Remote Sensing 12, no. 1 (2019): 43. http://dx.doi.org/10.3390/rs12010043.

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The potential applications of computational tools, such as anomaly detection and incongruence, for analyzing data attract much attention from the scientific research community. However, there remains a need for more studies to determine how anomaly detection and incongruence applied to analyze data of static images from remote sensing will assist in detecting water pollution. In this study, an incongruence-based anomaly detection strategy for analyzing water pollution in images from remote sensing is presented. Our strategy semi-automatically detects occurrences of one type of anomaly based on

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How, Jason Richard, and Simon de Lestang. "Acoustic tracking: issues affecting design, analysis and interpretation of data from movement studies." Marine and Freshwater Research 63, no. 4 (2012): 312. http://dx.doi.org/10.1071/mf11194.

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Acoustic telemetry systems are an increasingly common way to examine the movement and behaviour of marine organisms. However, there has been little published on the methodological and analytical work associated with this technology. We tested transmitters of differing power outputs simultaneously in several trials, some lasting ~50 days, to examine the effects of power output and environmental factors (water movement, temperature, lunar cycle and time of day). There were considerable and volatile changes in detections throughout all trials. Increased water movement and temperature significantl

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Guo, Yongqi, Yuxu Lu, Yu Guo, Ryan Wen Liu, and Kwok Tai Chui. "Intelligent Vision-Enabled Detection of Water-Surface Targets for Video Surveillance in Maritime Transportation." Journal of Advanced Transportation 2021 (August 16, 2021): 1–14. http://dx.doi.org/10.1155/2021/9470895.

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The timely, automatic, and accurate detection of water-surface targets has received significant attention in intelligent vision-enabled maritime transportation systems. The reliable detection results are also beneficial for water quality monitoring in practical applications. However, the visual image quality is often inevitably degraded due to the poor weather conditions, potentially leading to unsatisfactory target detection results. The degraded images could be restored using state-of-the-art visibility enhancement methods. It is still difficult to generate high-quality detection performance

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Esteves-López, Natalia, Stephane Coussan, Claude Dedonder-Lardeux, and Christophe Jouvet. "Photoinduced water splitting in pyridine water clusters." Physical Chemistry Chemical Physics 18, no. 36 (2016): 25637–44. http://dx.doi.org/10.1039/c6cp04398d.

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Miss., Prajakta Ajay Dhane, and A. B. Kakade Dr. "CONTACTLESS RUNNING WATER FLOW DETECTION AND WATER FLOW MEASUREMENT SYSTEM." JournalNX - a Multidisciplinary Peer Reviewed Journal RIT PG Con-18 (April 22, 2018): 260–64. https://doi.org/10.5281/zenodo.1413802.

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 Contactless running water detection and water flow measurement system detects whether water in the pipe is stationary or running. The main purpose of the system is to measure water flow without contact of water. The system is suitable for plastic and metal pipes. The low cost water flow detection system is most useful for domestic purpose https://journalnx.com/journal-article/20150531

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Wang, Shuai, Yu Chen, Yafei Yuan, et al. "TSAE-UNet: A Novel Network for Multi-Scene and Multi-Temporal Water Body Detection Based on Spatiotemporal Feature Extraction." Remote Sensing 16, no. 20 (2024): 3829. http://dx.doi.org/10.3390/rs16203829.

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The application of remote sensing technology in water body detection has become increasingly widespread, offering significant value for environmental monitoring, hydrological research, and disaster early warning. However, the existing methods face challenges in multi-scene and multi-temporal water body detection, including the diverse variations in water body shapes and sizes that complicate detection; the complexity of land cover types, which easily leads to false positives and missed detections; the high cost of acquiring high-resolution images, limiting long-term applications; and the lack

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Michael, Goodnews, Essa Q. Shahra, Shadi Basurra, Wenyan Wu, and Waheb A. Jabbar. "Real-Time Pipeline Fault Detection in Water Distribution Networks Using You Only Look Once v8." Sensors 24, no. 21 (2024): 6982. http://dx.doi.org/10.3390/s24216982.

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Detecting faulty pipelines in water management systems is crucial for ensuring a reliable supply of clean water. Traditional inspection methods are often time-consuming, costly, and prone to errors. This study introduces an AI-based model utilizing images to detect pipeline defects, focusing on leaks, cracks, and corrosion. The YOLOv8 model is employed for object detection due to its exceptional performance in detecting objects, segmentation, pose estimation, tracking, and classification. By training on a large dataset of labeled images, the model effectively learns to identify visual patterns

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Bundschuh, T., T. Wagner, I. Eberhagen, B. Hambsch, and R. KÖster. "Detection of biocolloids in aquatic media by Nano-Particle Analyzer." Spectroscopy 19, no. 1 (2005): 69–78. http://dx.doi.org/10.1155/2005/595276.

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The Nano-Particle Analyzer (NPA) based on Laser-Induced Breakdown Detection (LIBD) selectively generates and detects plasma events on colloids in aquatic media. Here, it is made use of the fact that the power density required for plasma generation decreases from the gaseous to the solid medium. At an adequate laser pulse energy, plasmas can thus be generated selectively on colloids. The detections of biocolloids by LIBD-based NPA as described in this paper for the first time clearly reveal that the method is well suited for detecting not only non-biological particulate matter in water, but als

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Hadinata, Surya. "PERBANDINGAN METODE ANALISIS CIRI AIR UNTUK PENDETEKSIAN OBJEK PERMUKAAN AIR BERDASARKAN PANTULAN CAHAYA." CommIT (Communication and Information Technology) Journal 3, no. 2 (2009): 101. http://dx.doi.org/10.21512/commit.v3i2.524.

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Water is one of the unique objects in nature. In computer vision applications, object identification mechanism of water can be done by analyzing the light on the object, either by analyzing the reflection or absorption of light. In addition, the approach in the detection of surface water must also consider the adequacy of the light source and some properties of water associated with the propagation of light, ie the water surface conditions (calm, wavy), the status of depth, turbidity, and presence or absence of material that floats on the water surface such as foam or other materials). The nat

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D Parab, Dr Deepa, Vishal O Yadav, and Dr Harmeet Kaur Kohli. "Recent Progress in water soluble Fluorescent sensors for detection of Al+3, Fe+3 and Cu+2 ions." Asian Journal of Applied Science and Technology 09, no. 01 (2025): 167–85. https://doi.org/10.38177/ajast.2025.9115.

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A fluorescent sensor is a powerful technique used for detecting metal ions rapidly and effectively. It is a powerful tool for detecting metal ions in complex biological and environmental matrices. This review explores advancements in the development of water soluble fluorescence based sensors for metal ion detection focusing on Al³⁺, Fe+2 and Cu+2 ions in aqueous medium. It explores the latest advancements in sensor design. Specifically, this review highlights the synthetic process, sensing mechanism, phytophysical properties like detection limit, sensitivity, selectivity and performance of th

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Farah, Elias, and Isam Shahrour. "Water Leak Detection: A Comprehensive Review of Methods, Challenges, and Future Directions." Water 16, no. 20 (2024): 2975. http://dx.doi.org/10.3390/w16202975.

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This paper provides a comprehensive review of the methods and techniques developed for detecting leaks in water distribution systems, with a focus on highlighting their strengths, weaknesses, and areas for future research. Given the substantial economic, social, and environmental impacts of undetected leaks, timely detection and precise location of leaks are critical concerns for water authorities. This review categorizes existing methods into traditional approaches, such as manual sounding, and modern techniques involving smart water management and sensor technologies. A multidimensional bibl

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Figiel, Chester R., and Sandra Bohn. "Laboratory experiments for the detection of environmental DNA of crayfish: Examining the potential." Freshwater Crayfish 21, no. 1 (2015): 159–63. http://dx.doi.org/10.5869/fc.2015.v21-1.159.

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Abstract We examined methods for detecting environmental DNA of the invasive white river crayfish Procambarus zonangulus. In a laboratory experiment, we investigated detection capability in benthic sediment samples and in water samples in six flow-through tanks. Additionally we determined whether crayfish density (low = 0.67 or high = 2.69 crayfish·m-2) or crayfish time in tanks influenced DNA detectability (collection of samples on Days 2, 5, 8 and 15). Species-specific primers and probes were designed for P. zonangulus and their specificity was tested against other crayfish species. Limits o

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Negrea, Sorina Claudia, Lidia Ani Diaconu, Dorian Neidoni, et al. "Indirect electrochemical detection of perfluoro decanoic acid from water." Romanian Journal of Ecology & Environmental Chemistry 6, no. 2 (2024): 121–29. https://doi.org/10.21698/rjeec.2024.212.

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Electrochemical detection of perfluoro decanoic acid (PFDA) has gained significant interest due to the its environmental persistence and potential health risks. This study focuses on the development and utilization of a molecular imprinted polymer (MIP) sensor for the selective and sensitive detection of PFDA in aqueous samples. Commercial boron-doped diamond (BDD) electrode was modified with MIP by electro polymerization in 2:1 (v/v) mixture of 0.1 M sodium acetate buffer solution (pH = 5.8) and methanol containing 10 mM o-phenylenediamine (o-PD) and 1 mM PFDA concentration. The electro polym

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Kuo, Jong-Tar, Li-Li Chang, Chia-Yuan Yen, et al. "Development of Fluorescence In Situ Hybridization as a Rapid, Accurate Method for Detecting Coliforms in Water Samples." Biosensors 11, no. 1 (2020): 8. http://dx.doi.org/10.3390/bios11010008.

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Coliform bacteria are indicators of water quality; however, most detection methods for coliform bacteria are time-consuming and nonspecific. Here, we developed a fluorescence in situ hybridization (FISH) approach to detect four types of coliform bacteria, including Escherichia coli, Klebsiella pneumoniae, Enterobacter aerogenes, and Citrobacter freundii, simultaneously in water samples using specific probes for 16S rRNA. This FISH method was applied to detect coliform bacteria in simulated water and domestic wastewater samples and compared with traditional detection methods (e.g., plate counti

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