Academic literature on the topic 'Water detection'

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Journal articles on the topic "Water detection"

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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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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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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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Dissertations / Theses on the topic "Water detection"

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Chienthavorn, Orapin. "Detection in superheated water chromatography." Thesis, Loughborough University, 1999. https://dspace.lboro.ac.uk/2134/32394.

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Superheated water has been used successfully as an eluent in liquid chromatography and has been coupled to various modes of detection, ultraviolet (UV), fluorescence, and nuclear magnetic resonance spectroscopy (NMR) and mass spectrometry (MS). A number of compounds were examined on poly(styrene-divinylbenzene) (PS-OVB), polybutadiene (PBO), and octadecylsilyl bonded silica (OOS) column with isothermal and temperature programmes.
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Bergua, Canudo José Francisco. "Nanobiosensors for contaminants detection in water." Doctoral thesis, TDX (Tesis Doctorals en Xarxa), 2020. http://hdl.handle.net/10803/670394.

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Aquesta tesi té com a objectiu desenvolupar biosensors per al monitoratge ambiental. Primer, s'ha desenvolupat un biosensor colorimètric basat en lateral flow strips (LFS) per a la detecció i quantificació d'Escherichia coli com a indicador fecal universal. En aquest cas, nanopartícules d'or (AuNP) s'utilitzen com a transductors òptics i anticossos policlonals com a elements de bioreconeixement per capturar, marcar i indicar la presència del bacteri. Paral·lelament, s'ha desenvolupat un sistema de filtració per millorar la sensibilitat dels LFS. L'optimització del flux de la mostra a través de
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Gao, Yan. "Leak detection in plastic water pipes." Thesis, University of Southampton, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.423122.

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Samuelsson, Oscar. "Fault detection in water resource recovery facilities." Licentiate thesis, Uppsala universitet, Avdelningen för systemteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-329777.

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Reliable sensor values are important for resource-efficient control and operations of wastewater treatment processes. Automatic fault detection methods are necessary to monitor the increasing amount of data produced in any modern water resource recovery facility (WRRF). Most on-line measurements exhibit large variations under normal conditions, due to considerable variations in the influent flow. The work reported in this licentiate thesis deals with fault detection in WRRFs. In the first paper, we studied how Gaussian process regression (GPR), a probabilistic machine learning method, could be
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Gelin, Martin, and Skogsberg Rikard Fridsén. "Water Contamination Detection With Artificial Neural Networks." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-295605.

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Drinking water is one of our most important re- sources, so the ability to reliably monitor harmful contaminations in our water distribution network is vital. In order to minimize false alarms for water monitoring, while keeping a high sensitivity, a machine learning approach was evaluated in this project. Measurement data captured with a new kind of sensor, an electronic tongue, was provided by Linköping university. The solution was an artificial neural network, in the structure of an Autoencoder, which could learn the dynamic behaviour of natural deviations and with a false alarm rate of app
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Nobliá, Matilda, and Christian Ryan. "Contamination Event Detection in Water Distribution Systems." Thesis, KTH, Skolan för elektro- och systemteknik (EES), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-214698.

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In any society, making sure that its citizens havea clean water supply is a fundamental issue. By modernizingthe way water distribution systems (WDSs) are monitored andcontrolled, the impact of contamination can be maintained andminimized. By using sensors that monitor relevant physicalparameters, a system that detects contamination and limitspopulation exposure can be designed. To achieve this, the workpresented in this report is focused on three main topics.Firstly, parameters for determining water quality are examined.This is the basis for choosing relevant sensors. Secondly,a study of cont
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Mvelase, Mashinga Johannes. "Radon escape from water." Thesis, University of the Western Cape, 2010. http://etd.uwc.ac.za/index.php?module=etd&action=viewtitle&id=gen8Srv25Nme4_3869_1307688700.

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<p>This thesis aims to measure the rate of radon loss from water in a systematic way. The dependence on surface area, temperature and concentration will be investigated. The experiments were done at UWC by creating radon using radium sources and then measuring the radon concentrations inside a vacuum chamber to obtain the speed of radon escape from the water. The results are compared to a model [Cal 2002] where the radon concentration in the air and hence the transfer rate is measured using a RAD7 radon detector. Since the equations cannot be solved analytically, a numerical solution is employ
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Walrath, Karen Elizabeth. "Evanescent wave spectroscopy for detection of water and water treeing in polymers." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/40582.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1996.<br>Includes bibliographical references (p. 185-191).<br>by Karen Elizabeth Walrath.<br>Ph.D.
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Wennberg, Aina Charlotte. "PCR-detection of Vibrio cholerae in ballast water." Thesis, Norwegian University of Science and Technology, Department of Biotechnology, 2009. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-6883.

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Parent, Uribe Santiago. "Endotoxins detection and control in drinking water systems." Thesis, McGill University, 2007. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=100231.

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Endotoxins are a constituent of the lipopolysaccharide (LPS) complexes present in the outer layer of the cell wall of most Gram-negative bacteria and some cyanobacteria. The ingestion by a typical adult of amounts exceeding 1,000 endotoxin units (EUs) can cause fever, diarrhoea, vomiting, acute respiratory illnesses, and lung inflammation. In contrast, much smaller doses may lead to protective immunity against allergic diseases.<br>Endotoxins can be released in the air as well as in the water; previous studies have mainly focused on airborne endotoxins. Although many studies on endotoxins in r
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Books on the topic "Water detection"

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Association, American Water Works, ed. Water audits and leak detection. American Water Works Association, 1990.

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1935-, Schwartzbrod L., ed. Viruses in water systems: Detection and identification. VCH, 1988.

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Manea, F. Wet electrochemical detection of organic impurities. Nova Science Publishers, 2010.

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Clark, Stuart A., K. Clive Thompson, C. William Keevil, and Mark S. Smith, eds. Rapid Detection Assays for Food and Water. Royal Society of Chemistry, 2001. http://dx.doi.org/10.1039/9781847551818.

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A, Clark Stuart, ed. Rapid detection assays for food and water. Royal Society of Chemistry, 2001.

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Abo-Amer, Aly E. Molecular approach for detection of waterborne pathogens. Nova Science Publisher's, 2011.

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Maloney, Stephen W. Preventing water loss in water distribution systems: Money-saving leak detection programs. US Army Corps of Engineers, Construction Engineering Research Laboratory, 1986.

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Offenhartz, Barbara H. Enzyme-based detection of chlorinated hydrocarbons in water. U.S. Environmental Protection Agency, Hazardous Waste Engineering Research Laboratory, 1985.

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Offenhartz, Barbara H. Enzyme-based detection of chlorinated hydrocarbons in water. U.S. Environmental Protection Agency, Hazardous Waste Engineering Research Laboratory, 1985.

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United States. National Aeronautics and Space Administration., ed. Advanced water vapor lidar detection system: Final report. National Aeronautics and Space Administration, 1998.

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Book chapters on the topic "Water detection"

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Yang, Hongwei, and Wenjin Zhao. "Detection of Water." In Encyclopedia of Lunar Science. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-05546-6_122-1.

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Yang, Hongwei, and Wenjin Zhao. "Detection of Water." In Encyclopedia of Lunar Science. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-319-14541-9_122.

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Norgren, R. "Sensory Detection of Water." In Thirst. Springer London, 1991. http://dx.doi.org/10.1007/978-1-4471-1817-6_13.

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Tharani, Mohbat, Abdul Wahab Amin, Fezan Rasool, Mohammad Maaz, Murtaza Taj, and Abubakar Muhammad. "Trash Detection on Water Channels." In Neural Information Processing. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-92185-9_31.

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Li, Na, and Yongxin Song. "Commercial Devices for Living Algae Detection." In Ship’s Ballast Water Analysis. CRC Press, 2024. http://dx.doi.org/10.1201/9781003359005-8.

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Starr, Justin. "Other Leak Detection Technologies." In Water and Wastewater Pipeline Assessment Technologies. CRC Press, 2021. http://dx.doi.org/10.1201/9780429198731-7.

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Singh, Harikesh, Vishu Tyagi, and Shishir Kumar. "An Integrated Water Tracking and Leakage Detection System Using Blockchain Technology." In Water Informatics for Water Resource Management. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-3886-4_5.

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Kumar, Gyanendra, Pragya, and Sur Singh Rawat. "Arduino IoT Platform with Bayes Theorem-Based Water Contamination Detection System." In Water Informatics for Water Resource Management. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-3886-4_7.

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Haap, Jasmin, and Edith Classen. "Analytical Approach for the Detection of Micro-sized Fibers from Textile Laundry." In Springer Water. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-71279-6_11.

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Mohanty, Anita, Subrat Kumar Mohanty, and Ambarish G. Mohapatra. "Real-Time Monitoring and Fault Detection in AI-Enhanced Wastewater Treatment Systems." In Springer Water. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-67237-8_7.

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Conference papers on the topic "Water detection"

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J, Selvaprakash, Prem Arasu S. K, Vetri Xavier S, Orlin Rudina Maria R, Manimegalai M, and Sebasthirani K. "Water Leakage Detection and Recognition System." In 2025 3rd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT). IEEE, 2025. https://doi.org/10.1109/idciot64235.2025.10915052.

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Muto, Fumitaka, Takashi Okada, Jun Saegusa, and Tatsuo Shiina. "Water/water vapor monitoring using compact Raman Lidar for radiation detection." In Lidar and Optical Remote Sensing for Environmental Monitoring XVII, edited by Nobuo Sugimoto, Upendra N. Singh, Li-Hsueh Chang, and Tee-Ann Teo. SPIE, 2024. https://doi.org/10.1117/12.3046059.

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Balazs, Zoltan, Sveta Miladinov, and Chris Pickard. "Breach detection system testing methodology." In 2014 Second Workshop on Anti-malware Testing Research (WATeR). IEEE, 2014. http://dx.doi.org/10.1109/water.2014.7015756.

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Markel, Zane, and Michael Bilzor. "Building a machine learning classifier for malware detection." In 2014 Second Workshop on Anti-malware Testing Research (WATeR). IEEE, 2014. http://dx.doi.org/10.1109/water.2014.7015757.

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Gao, Shang-qi, Zhi-bin Sun, Yuan-da Jiang, Chao Wang, and Ke-ming Du. "Optical properties of water for the Yangbajing water cherenkov detector." In International Symposium on Photoelectronic Detection and Imaging 2011, edited by John C. Zarnecki, Carl A. Nardell, Rong Shu, Jianfeng Yang, and Yunhua Zhang. SPIE, 2011. http://dx.doi.org/10.1117/12.900762.

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Jackson, Darren, Kaare Anderson, and Weston Heuer. "Liquid Water Detection Algorithm for the Magnetostrictive Ice Detector." In International Conference on Icing of Aircraft, Engines, and Structures. SAE International, 2023. http://dx.doi.org/10.4271/2023-01-1430.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt; For nearly a century, ice build-up on aircraft surfaces has presented a safety concern for the aviation industry. Pilot observations of visible moisture and temperature has been used a primary means to detect conditions conducive to ice accretion on aircraft critical surfaces. To help relieve flight crew workload and improve aircraft safety, various ice detection systems have been developed. Some ice detection systems have been successfully certified as the primary means of detecting ice, negating the need for the fligh
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Arredondo, Armando Vazquez. "DETECTION OF WATER LEAKS USING EFSOP WATER DETECTION TECHONOLOGY®." In 46º Seminário de Aciaria - Internacional. Editora Blucher, 2017. http://dx.doi.org/10.5151/1982-9345-26678.

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Nath, Pabitra, Trishna Das, Utpal Bora, Nabadweep Chamuah, Iftak Hussain, and Diganta Hatiboruah. "Accurate estimation of mercury level concentration in water using smartphone." In Optical Sensing and Detection, edited by Francis Berghmans and Anna G. Mignani. SPIE, 2018. http://dx.doi.org/10.1117/12.2304710.

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Mambretti, S., and E. Orsi. "Genetic algorithms for leak detection in water supply networks." In Urban Water 2012. WIT Press, 2012. http://dx.doi.org/10.2495/uw120061.

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Mukherji, Soumyo, and Sutapa Chandra. "Conducting polymer-based optical sensor for heavy metal detection in drinking water." In Optical Sensing and Detection, edited by Francis Berghmans and Anna G. Mignani. SPIE, 2018. http://dx.doi.org/10.1117/12.2306719.

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Reports on the topic "Water detection"

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Apps, Christopher, and Tyler Johnson. PR244-173902-R01 On-water Leak Detection System Evaluation. Pipeline Research Council International, Inc. (PRCI), 2018. http://dx.doi.org/10.55274/r0011504.

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The hydrocarbon industry is directing efforts towards reducing the environmental impact of operation through improving pipeline performance and addressing evolving regulatory requirements. As a result, many different external leak detection technologies have been recently developed; however, it is challenging to test these systems with real hydrocarbon products. The research project described herein evaluated the performance of six external leak detection systems intended to identify the presence of hydrocarbon products on the surface of water. The scope was limited to an idealized freshwater
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Apps, Christopher. PR-244-193900-R01 Oil-on-water Leak Detection Technology Evaluation Phase 2. Pipeline Research Council International, Inc. (PRCI), 2020. http://dx.doi.org/10.55274/r0011647.

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Industry is directing efforts toward reducing the environmental impact of operation through improving pipeline performance and addressing evolving regulatory requirements. As a result, external leak detection technologies have been recently developed; however, it is challenging to test these systems with real hydrocarbon products in-situ. This research project was developed to assess these external leak detection technologies' abilities to identify the presence of hydrocarbon products on the surface of water. In the first phase of the project, testing was limited to an idealized freshwater env
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Wick, Charles H., and Patrick E. McCubbin. Water Sample Analysis With the Integrated Virus Detection System. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada532453.

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Deininger. PR-443-13605-R01 Sensors for Gas Quality Monitoring. Pipeline Research Council International, Inc. (PRCI), 2014. http://dx.doi.org/10.55274/r0010127.

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The purpose of this project was to determine the suitability of low cost environmental air quality sensors, for detection of pipeline gas quality. In particular, this project examined options for detection and quantification of hydrogen sulfide (H2S), water (H2O), and oxygen (O2). All of the sensors used were based on Synkeras existing anodic aluminum oxide (AAO) platform and detection chemistry. The key challenge of this effort was laboratory based demonstration of the feasibility of detecting these three components in natural gas at pressures exceeding 1 atmosphere
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Allendorf, Mark D. Colorimetric Detection of Water Vapor Using Metal-Organic Framework Composites. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1415015.

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C Svoboda, R., A. Bernstein, W. Coleman, and S. Dazeley. Feasibility Study for Large Water-Based Neutron and Neutrino Detection. Office of Scientific and Technical Information (OSTI), 2007. http://dx.doi.org/10.2172/1036852.

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Sun, Jian-Qiao. Sample Concentration Systems for Chemical and Biological Agent Detection in Water. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada399976.

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Nelson, Matthew P., and Patrick J. Treado. Optical Detection of Biological and Chemical Threats in Food and Water. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada455251.

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Cooper, Robert Lee, Peter Marleau, and Patrick J. Griffin. Ground water and snow sensor based on directional detection of cosmogenic neutrons. Office of Scientific and Technical Information (OSTI), 2011. http://dx.doi.org/10.2172/1177063.

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Rose, Joan B., and D. J. Grimes. Reevaluation of Microbial Water Quality: Powerful New Tools for Detection and Risk Assessment. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada389605.

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