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Статті в журналах з теми "Plume-tracing"

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Автор: Grafiati

Опубліковано: 10 грудня 2022

Оновлено: 28 січня 2023

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1

Eu, Kok Seng, and Kian Meng Yap. "Chemical plume tracing." International Journal of Advanced Robotic Systems 15, no. 1 (January 1, 2018): 172988141875587. http://dx.doi.org/10.1177/1729881418755877.

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Анотація:

Most of the reported three-dimensional chemical plume tracing methods use stereo sensing method to determine the next tracing step direction. For example, multiple sensors are used for detection in the left, right, up and down directions. Left and right detections are feasible for stereo sniffing; unfortunately, the same approach is infeasible for the up/down sensing of the quadrotor platforms because the propellers of the quadrotor continuously draw the air from the top and bring it down, which affects the sensing of the upper and lower sensors, and fails to determine the subsequent tracing step of up/down direction. Therefore, up/down sensing in the surging stage of chemical plume tracing is ineffective for quadrotor platforms (chemical plume tracing has two stages: surging and casting). To solve the problem, we propose an alternative that is not in the surging but in the casting stage of chemical plume tracing, by designing a new three-dimensional chemical plume tracing technique with variations of altitude ( z-axis) control during the casting stage, which has never been considered in the previous works. Besides, we use a computational fluid dynamics software to study the airflow pattern of quadrotor platform. Subsequently, a fuzzy-based stereo-sniffing algorithm is developed by considering the quadrotor propeller’s air intake stream angle associated with the environmental wind direction angle, so as to improve the accuracy of stereo sensing. The results of the proposed solutions are verified and validated via both experimental and simulation approaches.

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2

Rowan, L. "GEOCHEMISTRY: Tracing a Plume." Science 291, no. 5501 (January 5, 2001): 15d—15. http://dx.doi.org/10.1126/science.291.5501.15d.

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3

Ishida, Hiroshi, T. Nakamoto, and Toyosaka Moriizumi. "Gas/Odor Plume Tracing Robot." Sensors Update 6, no. 1 (November 1999): 397–418. http://dx.doi.org/10.1002/1616-8984(199911)6:1<397::aid-seup397>3.0.co;2-3.

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4

Gaurav, Kumar, Ramanpreet Singh, and Ajay Kumar. "Modified Simple Chemical Plume Tracing Algorithm." Journal of Physics: Conference Series 1455 (February 2020): 012006. http://dx.doi.org/10.1088/1742-6596/1455/1/012006.

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5

Li, Chun Shu, Zhi Hua Yang, Gen Qun Cui, and Bo Jin. "Odor Source Localization Research of Mobile Robots in Indoor Environments." Applied Mechanics and Materials 441 (December 2013): 796–800. http://dx.doi.org/10.4028/www.scientific.net/amm.441.796.

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Aiming at the odor source localization in an obstacle-filled wind-varying indoor environment, a new method based odor source localization algorithm for a single mobile robot is proposed. With the information of the wind and the concentration gradient, Wasps can find odor source in a short time. However, it is very difficult for mobile robots to mimic the behaviors of wasps exactly. So, besides the bionics, BP neural network is adopted for the mobile robot to find the odor source. The control strategies for the plume-tracing mobile robot are proposed which include the intelligent plume-tracing algorithm and the collision avoidance algorithm based on improved potential grid method. The algorithms were integrated to control the robot trace plumes in obstructed indoor environments. Experimental results have demonstrated the capability of this kind of plume-tracing mobile robot.

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6

Cao, Meng-Li, Qing-Hao Meng, Jia-Ying Wang, Bing Luo, Ya-Qi Jing, and Shu-Gen Ma. "Learning to Rapidly Re-Contact the Lost Plume in Chemical Plume Tracing." Sensors 15, no. 4 (March 27, 2015): 7512–36. http://dx.doi.org/10.3390/s150407512.

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7

Zhang, Yu Li, and Xiao Ping Ma. "Comparing Plume-Tracing Algorithms in Obstructed Multi-Source Environments." Advanced Materials Research 756-759 (September 2013): 228–32. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.228.

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In this paper, we compare the common plume-tracing algorithms: chemotaxis and anemotaxis in obstructed multi-source environment using multi-robot system. A multi-robot cooperation strategy with virtual physics force, which includes structure formation force, goal force, obstacle avoidance force, repulsion force and rotary force, is proposed. First, plume model with two sources in three obstacles environment is constructed by computation fluid dynamics simulations. Second, parallel searches by two groups robots with chemotaxis and anemotaxis are used to locate two sources in obstructed environment. Simulation comparison experiment with two plume-tracing algorithms discussed the influence of the varied wind direction/ speed frequency and methane release frequency and different initial positions of two groups to the search performance. Finally, the comparative result is illustrated.

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8

Farrell, J. A., S. Pang, and W. Li. "Chemical Plume Tracing via an Autonomous Underwater Vehicle." IEEE Journal of Oceanic Engineering 30, no. 2 (April 2005): 428–42. http://dx.doi.org/10.1109/joe.2004.838066.

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9

Hu, Hangkai, Shiji Song, and C. L. Phillip Chen. "Plume Tracing via Model-Free Reinforcement Learning Method." IEEE Transactions on Neural Networks and Learning Systems 30, no. 8 (August 2019): 2515–27. http://dx.doi.org/10.1109/tnnls.2018.2885374.

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10

Hai-Feng, Jiu, Chen Yu, Deng Wei, and Pang Shuo. "Underwater chemical plume tracing based on partially observable Markov decision process." International Journal of Advanced Robotic Systems 16, no. 2 (March 1, 2019): 172988141983187. http://dx.doi.org/10.1177/1729881419831874.

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Chemical plume tracing based on autonomous underwater vehicle uses chemical as a guidance to navigate and search in the unknown environments. To solve the key issue of tracing and locating the source, this article proposes a path-planning strategy based on partially observable Markov decision process algorithm and artificial potential field algorithm. The partially observable Markov decision process algorithm is used to construct a source likelihood map and update it in real time with environmental information from the sensors on autonomous underwater vehicle in search area. The artificial potential field algorithm uses the source likelihood map for accurately planning tracing path and guiding the autonomous underwater vehicle to track along the path until the source is detected. This article carries out simulation experiments on the proposed algorithm. The experimental results show that the algorithms have good performance, which is suitable for chemical plume tracing via autonomous underwater vehicle. Compared with the bionic method, the simulation results show that the proposed method has higher success rate and better stability than the bionic method.

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11

Naeem, W., R. Sutton, and J. Chudley. "Chemical Plume Tracing and Odour Source Localisation by Autonomous Vehicles." Journal of Navigation 60, no. 2 (April 20, 2007): 173–90. http://dx.doi.org/10.1017/s0373463307004183.

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Autonomous vehicles with an ability to trace chemical plumes can be instrumental in tasks such as detection of unexploded ordnance, search for undersea wreckage and environmental monitoring. As a consequence, use of autonomous vehicles to perform chemical plume tracing has received an increasing interest from the research community in recent years. Owing to the diversity of applications and ambient fluid environment of the plumes, there are numerous plume tracing strategies and approaches. This paper reviews two main approaches and a number of strategies that have been successfully implemented to track air or water borne plumes in order to locate odour sources using autonomous vehicles. The first strategy considered is the biomimetic approach that offers excellent models for the development of robotic systems. Strategies inspired by lobsters and bacterium are the main focus in this study. The second scheme considers parallelization of the search procedure by employing a multi-robot approach. This approach has the advantage of utilising a group of smaller and simpler communicating robots which are capable of performing a collaborative search of the plume.

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12

Stein, Mordechai. "Tracing the plume material in the Arabian-Nubian Shield." Precambrian Research 123, no. 2-4 (June 2003): 223–34. http://dx.doi.org/10.1016/s0301-9268(03)00069-x.

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13

Rendas, Maria-João. "Stochastic maps for autonomous plume tracing under turbulent flow." IFAC Proceedings Volumes 37, no. 8 (July 2004): 555–60. http://dx.doi.org/10.1016/s1474-6670(17)32036-0.

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14

Li, Zeqi, Zhao Feng Tian, Tien-fu Lu, and Houzhi Wang. "Assessment of different plume-tracing algorithms for indoor plumes." Building and Environment 173 (April 2020): 106746. http://dx.doi.org/10.1016/j.buildenv.2020.106746.

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15

Wei Li, J. A. Farrell, Shuo Pang, and R. M. Arrieta. "Moth-inspired chemical plume tracing on an autonomous underwater vehicle." IEEE Transactions on Robotics 22, no. 2 (April 2006): 292–307. http://dx.doi.org/10.1109/tro.2006.870627.

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16

Robinett, Rush D., and David G. Wilson. "Collective plume tracing: A minimal information approach to collective control." International Journal of Robust and Nonlinear Control 20, no. 3 (March 27, 2009): 253–68. http://dx.doi.org/10.1002/rnc.1420.

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17

Klingel, Eric J., Jason E. Shiflet, and Tom Aley. "Fluorescent dye tracing for defining chlorinated ethene plume remediation targets." Remediation Journal 20, no. 3 (June 3, 2010): 111–19. http://dx.doi.org/10.1002/rem.20254.

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18

Tedstone, Andrew J., and Neil S. Arnold. "Automated remote sensing of sediment plumes for identification of runoff from the Greenland ice sheet." Journal of Glaciology 58, no. 210 (2012): 699–712. http://dx.doi.org/10.3189/2012jog11j204.

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AbstractThe viability of employing sediment plumes emanating from outlets along the western margin of the Greenland ice sheet as indicators of runoff is assessed. An automated sediment plume quantification system based on daily 250 m Moderate Resolution Imaging Spectroradiometer (MODIS) band 1 reflectance imagery is developed. Coherent plumes are identified using spectral thresholds and polygon tracing. Validation employs imagery quality-control procedures and manual verification of plume areas. Outlets at land-terminating margins with wide and straight fjord geometries deliver the most accurate and consistent results. Plume area observations are also possible at marine-terminating margins with relatively static fronts and low proximal sea-ice concentrations. Variability in plume area is examined with reference to Special Satellite Microwave Imager (SSM/I)-derived daily melt extent at the hydrologic catchment scale. At annual timescales, plume areas tend to co-vary with surface melt extent, indicating that more mass is lost by runoff during years of extensive melting. Some synchronicity in plume areas from different catchments is apparent. At seasonal and daily timescales, plumes from individual outlets primarily relate to catchment-specific melting.

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19

Vadas, S. L., and D. C. Fritts. "Reconstruction of the gravity wave field from convective plumes via ray tracing." Annales Geophysicae 27, no. 1 (January 9, 2009): 147–77. http://dx.doi.org/10.5194/angeo-27-147-2009.

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Abstract. We implement gravity wave (GW) phases into our convective plume and anelastic ray trace models. This allows us to successfully reconstruct the GW velocity, temperature, and density perturbation amplitudes and phases in the Mesosphere-Lower-Thermosphere (MLT) via ray tracing (in real space) those GWs that are excited from a deep convective plume. We find that the ray trace solutions agree very well with the exact, isothermal, zero-wind, Fourier-Laplace solutions in the Boussinesq limit. This comparison also allows us to determine the normalization factor which converts the GW spectral amplitudes to real-space amplitudes in the ray trace model. This normalization factor can then be used for ray tracing GWs through varying temperature and wind profiles. We show that by adding GW reflection off the Earth's surface, the resulting GW spectrum has more power at larger vertical and horizontal wavelengths. We determine the form of the momentum flux and velocity spectra which allows for easy calculation of GW amplitudes in the MLT and thermosphere. Finally, we find that the reconstructed (ray traced) solution for a deep, convective plume with a duration much shorter than the buoyancy period does not equal the Fourier-Laplace Boussinesq solution; this is likely due to errors in the Boussinesq dispersion relation for very high frequency GWs.

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20

Utkin, Andrei B., Armando Fernandes, Fernando Simões, Alexander Lavrov, and Rui Vilar. "Feasibility of forest-fire smoke detection using lidar." International Journal of Wildland Fire 12, no. 2 (2003): 159. http://dx.doi.org/10.1071/wf02048.

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The feasibility and fundamentals of forest fire detection by smoke sensing with single-wavelength lidar are discussed with reference to results of 532-nm lidar measurements of smoke plumes from experimental forest fires in Portugal within the scope of the Gestosa 2001 project. The investigations included tracing smoke-plume evolution, estimating forest-fire alarm promptness, and smoke-plume location by azimuth rastering of the lidar optical axis. The possibility of locating a smoke plume whose source is out of line of sight and detection under extremely unfavourable visibility conditions was also demonstrated. The eye hazard problem is addressed and three possibilities of providing eye-safety conditions without loss of lidar sensitivity (namely, using a low energy-per-pulse and high repetition-rate laser, an expanded laser beam, or eye-safe radiation) are discussed.

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21

LI, Ji-Gong, Qing-Hao MENG, Fei LI, Ping JIANG, and Ming ZENG. "Tracing Odor Plume by Robot in Time-variant Flow-field Environments." Acta Automatica Sinica 35, no. 10 (November 4, 2009): 1327–33. http://dx.doi.org/10.3724/sp.j.1004.2009.01327.

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22

Meng, Qing-Hao, Wei-Xing Yang, Yang Wang, Fei Li, and Ming Zeng. "Adapting an Ant Colony Metaphor for Multi-Robot Chemical Plume Tracing." Sensors 12, no. 4 (April 12, 2012): 4737–63. http://dx.doi.org/10.3390/s120404737.

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23

FUKUSHIMA, Shunpei, Shunsuke SHIGAKI, and Daisuke KURABAYASHI. "2A1-G01 Construction of multi-copter system for Chemical Plume Tracing." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2015 (2015): _2A1—G01_1—_2A1—G01_2. http://dx.doi.org/10.1299/jsmermd.2015._2a1-g01_1.

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24

Kang, Xiaodong, and Wei Li. "Moth-inspired plume tracing via multiple autonomous vehicles under formation control." Adaptive Behavior 20, no. 2 (February 14, 2012): 131–42. http://dx.doi.org/10.1177/1059712311433131.

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25

Cui, Shi Gang, Guang Ming Zeng, Fan Liang, and Jiang Lei Dong. "Simulated Annealing Algorithm Based Single Robot Odor Source Localization Strategy." Applied Mechanics and Materials 494-495 (February 2014): 1286–89. http://dx.doi.org/10.4028/www.scientific.net/amm.494-495.1286.

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This paper presents a search strategy for single mobile robots to realize the active olfaction (also called odor/gas source localization or plume tracing). The odor source localization is regarded as a kind of dynamic function optimization problem in this article, using the simulated annealing algorithm to calculate the optimal solution of density distribution function, namely the odor source location. The simulation experiments results in indoor ventilated environment show that the robot can track in plume and locate the odor source under the area of the 10m*10m, and it can effectively jump out of local maximum values in the process of search.

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26

Boe, Bruce A., James A. Heimbach, Terrence W. Krauss, Lulin Xue, Xia Chu, and John T. McPartland. "The Dispersion of Silver Iodide Particles from Ground-Based Generators over Complex Terrain. Part I: Observations with Acoustic Ice Nucleus Counters." Journal of Applied Meteorology and Climatology 53, no. 6 (June 2014): 1325–41. http://dx.doi.org/10.1175/jamc-d-13-0240.1.

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AbstractPart I of this paper presents the results from a series of plume-tracing flights over the Medicine Bow and Sierra Madre Ranges in south-central Wyoming. These flights, conducted during February and early March of 2011, were part of the Wyoming Weather Modification Pilot Project. Effective targeting of ground-based silver iodide plumes to supercooled clouds has long been a problem for winter orographic cloud-seeding projects. Surface-based ice nucleus (IN) measurements made at a fixed location near the Medicine Bow Range target area had confirmed the effective transport of IN plumes in many cases, but not all. Airborne plume tracing, undertaken to further illuminate the processes involved, provided additional insight into the plume behavior while providing physical measurements that were later compared with large-eddy-simulation modeling (Part II). It was found that the plumes were most often encountered along the flight paths set out in the experimental designs and, in the absence of convection, appear to be mostly confined to the lowest 600 m above the highest terrain. All passes above 600 m above ground level revealed IN concentrations greater than background levels, however. An estimate of IN flux measured over the Medicine Bow Range was approximately 85% of that produced by the five ground-based IN generators active at the time.

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27

Thoms, T., A. E. Giblin, and K. H. Foreman. "Multiple Approaches to Tracing Nitrogen Loss in the West Falmouth Wastewater Plume." Biological Bulletin 205, no. 2 (October 2003): 242–43. http://dx.doi.org/10.2307/1543275.

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28

OKAJIMA, Kei, Shunsuke SHIGAKI, Kazushi SANADA, and Daisuke KURABAYASHI. "Flicking: variable sampling method for chemical plume tracing by an autonomous robot." Transactions of the JSME (in Japanese) 86, no. 887 (2020): 19–00340. http://dx.doi.org/10.1299/transjsme.19-00340.

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29

Harpp, Karen S., and William M. White. "Tracing a mantle plume: Isotopic and trace element variations of Galápagos seamounts." Geochemistry, Geophysics, Geosystems 2, no. 6 (June 2001): n/a. http://dx.doi.org/10.1029/2000gc000137.

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30

Shigaki, Shunsuke, Takeshi Sakurai, Noriyasu Ando, Daisuke Kurabayashi, and Ryohei Kanzaki. "Time-Varying Moth-Inspired Algorithm for Chemical Plume Tracing in Turbulent Environment." IEEE Robotics and Automation Letters 3, no. 1 (January 2018): 76–83. http://dx.doi.org/10.1109/lra.2017.2730361.

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31

Spears, Diana F., David R. Thayer, and Dimitri V. Zarzhitsky. "Foundations of swarm robotic chemical plume tracing from a fluid dynamics perspective." International Journal of Intelligent Computing and Cybernetics 2, no. 4 (November 20, 2009): 745–85. http://dx.doi.org/10.1108/17563780911005863.

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32

Manor, Alon, Sharon Marx, and Ran Aharoni. "High-fidelity simulations of Chemical Plume Tracing in the planetary boundary layer." Atmospheric Environment 198 (February 2019): 313–23. http://dx.doi.org/10.1016/j.atmosenv.2018.10.065.

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33

LEE, Jeongmin, Shunsuke SHIGAKI, Kazushi SANADA, and Daisuke KURABAYASHI. "Data-Driven Modeling of Spatially Dependent Chemical Plume Tracing Behavior of Insect." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2022 (2022): 2A1—F08. http://dx.doi.org/10.1299/jsmermd.2022.2a1-f08.

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34

Li, Wei. "Identifying an Odour Source in Fluid-Advected Environments, Algorithms Abstracted from Moth-Inspired Plume Tracing Strategies." Applied Bionics and Biomechanics 7, no. 1 (2010): 3–17. http://dx.doi.org/10.1155/2010/287801.

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This paper presents algorithms for identifying the odour source of a chemical plume with significant filament intermittency and meander developed in fluid-advected environments. The algorithms are abstracted from moth-inspired chemical plume tracing strategies in two steps. First, we introduce the concept of the last chemical detection points that leads to construction of a source identification zone and development of two variations in the source identification algorithms. Second, we use Monte Carlo methods to optimise the proposed algorithms in a simulated environment. The evaluation results demonstrate that the optimised algorithm achieves a success rate of over 90% in identifying the source location, the average identification time is 3–4 min and the average error is 1–2 m surrounding the source location.

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35

Li, Qingfeng, Zeyun Li, and Hanxian Fang. "Using 3D Ray Tracing Technology to Study the Disturbance Effect of Rocket Plume on Ionosphere." Atmosphere 13, no. 7 (July 20, 2022): 1150. http://dx.doi.org/10.3390/atmos13071150.

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In this paper, the initial neutral atmospheric parameters, background ionospheric parameters and geomagnetic field parameters of the ionosphere are obtained by NRLMSISE-00 model, IRI-2016 model and IGRF-13 model, respectively. Considering the neutral gas diffusion process, ion chemical reaction and plasma diffusion process, a three-dimensional dynamic model of chemical substances released by rocket plume disturbing the ionosphere is constructed. The influence of the disturbance on the echo path of high frequency radio waves with different incident frequencies is simulated by using three-dimensional digital ray-tracing technology. Using this model, the process of ionospheric disturbance caused by the main chemical substances H2 and H2O in the rocket plume under three different release conditions: fixed-point release at 300 km, vertical path at 250–350 km and parabolic path at 250–350 km, and the influence of the ionospheric cavity on the radio wave propagation of high frequency radio waves at different frequencies are simulated. The main purpose of the article is to focus on the effect of the cavity generated by the rocket exhaust on the propagation of radio waves. It mainly studies the perturbation effect on the ionosphere under different release conditions, considers the neutral gas diffusion process, ion chemical reaction and plasma diffusion process, and establishes the three-dimensional dynamics of the ionospheric electron density and the spatiotemporal distribution of the plume plasma learning model. Finally, the three-dimensional ray-tracing algorithm is used to simulate the propagation path of the radio wave through the disturbance area. We considered three different release conditions, including fixed-point release, vertical path and parabolic path. The ionospheric disturbances produced by these different releases are compared and analyzed, and their effects on the propagation path of radio waves are studied.

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36

TIAN, Yu, Wei LI, and Aiqun ZHANG. "A Simulation Environment for Deep-Sea Hydrothermal Plume Tracing with Autonomous Underwater Vehicles." Robot 34, no. 2 (2012): 159. http://dx.doi.org/10.3724/sp.j.1218.2012.00159.

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37

YOSHIHARA, Takumi, Chew Jouh YEONG, Ryo MINEGISHI, Shunpei FUKUSHIMA, Daisuke KURABAYASHI, and Ryohei KANZAKI. "1P1-S05 Embodiment Design of Biomimetic Sniffing System for Chemical Plume Tracing Robot." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2015 (2015): _1P1—S05_1—_1P1—S05_2. http://dx.doi.org/10.1299/jsmermd.2015._1p1-s05_1.

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38

Shigaki, Shunsuke, Kei Okajima, Kazushi Sanada, and Daisuke Kurabayashi. "Experimental Analysis of the Influence of Olfactory Property on Chemical Plume Tracing Performance." IEEE Robotics and Automation Letters 4, no. 3 (July 2019): 2847–53. http://dx.doi.org/10.1109/lra.2019.2921948.

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39

Zarzhitsky, Dimitri V., Diana F. Spears, and David R. Thayer. "Experimental studies of swarm robotic chemical plume tracing using computational fluid dynamics simulations." International Journal of Intelligent Computing and Cybernetics 3, no. 4 (November 23, 2010): 631–71. http://dx.doi.org/10.1108/17563781011094205.

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40

Soman, Vrishin R. "Hot Times in Tectonophysics: Mantle Plume Dynamics and Magmatic Perturbances." Journal of Environment and Ecology 11, no. 2 (July 28, 2020): 19. http://dx.doi.org/10.5296/jee.v11i2.16475.

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Earth’s dynamic lithospheric (plate) motions often are not obvious when considered in relation to the temporal stability of the crust. Seismic radiology experiments confirm that the extreme pressures and temperatures in the mantle, and to a lesser extent the asthenosphere, result in a heterogeneously viscous rheology. Occasionally, magmatic fluid makes its way through the lithospheric plate to the surface, appearing typically as a volcano, fissure eruption, or lava flow. When occurring away from the edges of plate boundaries, these long-lasting suppliers of lava, present over millions of years, are called mantle plumes, or ‘hotspots.’ Conventional definitions of mantle plumes note that they are stationary with respect to each other and the motion of the plates, passively tracing historical plate motion in volcanic formations such as the Hawaiian-Emperor island arc – the Plate Model. In this model, mantle plumes primarily occur as a consequence of lithospheric extension.Recent empirical studies, however, have demonstrated that hotspots are not as geographically consistent as previously thought. They may move in relation to each other, as well as contribute actively toward lithospheric plate motions – the Plume Model. There is a lively, ongoing debate between the Plate and Plume hypotheses, essentially seeking to determine if mantle flow is merely a passive reaction to lithospheric plate motion (Plate Model), or whether plume activity in part drives this motion (Plume Model). More likely, it is a combination of passive and active mantle plume components that better describe the comprehensive behavior of these important and distinctive landscape forming features.

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41

Smith, Ronald. "A ray method for near-shore plumes in a shallow-water flow." Journal of Fluid Mechanics 224 (March 1991): 227–39. http://dx.doi.org/10.1017/s0022112091001738.

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Far from a shoreline, the spreading of a contaminant plume in a shallow-water flow can be predicted easily and accurately by a ray-tracing method. Unfortunately, the concentration predictions become singular at a beach, where the ray paths have a caustic. In this paper a uniform approximation is derived which remains valid at a beach. It is shown how the singular ray solutions corresponding to rays incident to and transmitted from the beach can be combined to construct the uniform approximation.

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42

Zhang, Haitao, Quanshu Yan, Chuanshun Li, Xuefa Shi, Yaomin Yang, Guozhi Wang, Qingfeng Hua, Zhiwei Zhu, Hui Zhang, and Renjie Zhao. "Tracing material contributions from Saint Helena plume to the South Mid-Atlantic ridge system." Earth and Planetary Science Letters 572 (October 2021): 117130. http://dx.doi.org/10.1016/j.epsl.2021.117130.

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43

III, Rush D. Robinett, and David G. Wilson. "Hamiltonian surface shaping with information theory and exergy/entropy control for collective plume tracing." International Journal of Systems, Control and Communications 2, no. 1/2/3 (2010): 144. http://dx.doi.org/10.1504/ijscc.2010.031162.

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44

KURABAYASHI, Kai, Ryota YANAGAWA, Shunsuke SHIGAKI, Yuya HATTORI, and Daisuke KURABAYASHI. "Implementation of the variable capture-angle sampling system to the chemical plume tracing robot." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2020 (2020): 1A1—E11. http://dx.doi.org/10.1299/jsmermd.2020.1a1-e11.

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45

Shigaki, Shunsuke, Yusuke Shiota, Daisuke Kurabayashi, and Ryohei Kanzaki. "Modeling of the Adaptive Chemical Plume Tracing Algorithm of an Insect Using Fuzzy Inference." IEEE Transactions on Fuzzy Systems 28, no. 1 (January 2020): 72–84. http://dx.doi.org/10.1109/tfuzz.2019.2915187.

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46

Bennett, Sarah A., Roberta L. Hansman, Alex L. Sessions, Ko-ichi Nakamura, and Katrina J. Edwards. "Tracing iron-fueled microbial carbon production within the hydrothermal plume at the Loihi seamount." Geochimica et Cosmochimica Acta 75, no. 19 (October 2011): 5526–39. http://dx.doi.org/10.1016/j.gca.2011.06.039.

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47

Chen, Li Hai, Qing Zhen Yang, and Jin Hui Cui. "Numerical Simulation on the Infrared Radiation Characteristics of Ejector Nozzle Based on RMCM." Applied Mechanics and Materials 138-139 (November 2011): 879–85. http://dx.doi.org/10.4028/www.scientific.net/amm.138-139.879.

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Based on the numerical calculation of three-dimension flow field of the exhaust system, a code is developed by the reverse Monte-Carlo method (RMCM) to simulate the infrared radiation characteristics of the aeroengine exhaust system and the plume. A ray-tracing method (RTM) is introduced to seek the meshes of the flow field which the ray travels through to avoid the trouble of interpolation. The infrared radiation characteristics of a certain turbo-fan engine’s ejector nozzle in the waveband of 3-5μm is simulated at non-afterburning condition. The results of the simulation show that : (1)Because of the introduction of the secondary flow, the average temperature of the ejector nozzle’s core plume is 20K lower than the baseline one’s.(2) The infrared intensity for the ejector nozzle is most reduced relatively by 44.5% in comparison with the baseline nozzle along lateral direction.(3) The ejector nozzle has a better performance of infrared stealth.

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48

Zeng, Zhigang, Xiaoyuan Wang, Haiyan Qi, and Bowen Zhu. "Arsenic and Antimony in Hydrothermal Plumes from the Eastern Manus Basin, Papua New Guinea." Geofluids 2018 (2018): 1–13. http://dx.doi.org/10.1155/2018/6079586.

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Studies on the concentrations of arsenic (As) and antimony (Sb) in seawater columns are very important for tracing hydrothermal plumes and understanding fluid characteristics of seafloor hydrothermal systems. The total As, Sb, Mn, and Cl− concentrations of three hydrothermal plume seawater column samples have been studied at Stations 18G, 18K, and 18B in the eastern Manus back-arc basin, Bismarck Sea, Papua New Guinea. At Stations 18G and 18K, the plumes above North Su and near the Suzette site in the SuSu Knolls hydrothermal field are both enriched in As, Sb, and Mn and depleted in Cl, as a result of contribution of As-Sb-Mn-enriched and Cl-depleted vent fluid outputs to the hydrothermal plume, which is most likely generated in the subseafloor by fluid-rock interaction, magma degassing, or phase separation (boiling of hydrothermal fluid). The plume at Station 18B is enriched in As, Sb, Mn, and Cl, suggesting that As-Sb-Mn-Cl-enriched fluid discharges from vents, which have been generated by fluid-rock interaction. The concentrations of As and Sb anomalous layers, like manganese (Mn), are higher than those of the other layers in the three hydrothermal plume seawater columns. As and Sb with Mn showed a positive correlation (R2>0.8, p<0.05), and the distributions of As and Sb within the hydrothermal plume are not controlled by particle adsorption or biogeochemical cycles, suggesting that As and Sb, like Mn, can be used to detect and describe the characteristics of hydrothermal plumes in seawater environment. In addition, anomalous layer with As/Sb ratio lower than those of ambient seawater at the same temperature is found in the eastern Manus basin, suggesting that the As/Sb ratio may also act as an effective tracer reflecting the effect of hydrothermal activity on As and Sb in the seawater column.

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49

Chew, Jouh Yeong, and Daisuke Kurabayashi. "Quantitative Analysis of the Silk Moth’s Chemical Plume Tracing Locomotion Using a Hierarchical Classification Method." Journal of Bionic Engineering 11, no. 2 (June 2014): 268–81. http://dx.doi.org/10.1016/s1672-6529(14)60036-6.

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50

Wanninkhof, Rik, Kevin F. Sullivan, W. Paul Dammann, John R. Proni, Frederick Bloetscher, Alexander V. Soloviev, and Thomas P. Carsey. "Farfield Tracing of a Point Source Discharge Plume in the Coastal Ocean Using Sulfur Hexafluoride." Environmental Science & Technology 39, no. 22 (November 2005): 8883–90. http://dx.doi.org/10.1021/es048126+.

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