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Publisher: Springer-Verlag   (Total: 2281 journals)

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Showing 1201 - 1400 of 2281 Journals sorted alphabetically
J. of Earth Science     Hybrid Journal   (Followers: 6, SJR: 0.299, h-index: 11)
J. of Earth System Science     Open Access   (Followers: 24, SJR: 0.466, h-index: 27)
J. of East Asian Linguistics     Hybrid Journal   (Followers: 5, SJR: 0.669, h-index: 15)
J. of Echocardiography     Hybrid Journal   (Followers: 3, SJR: 0.136, h-index: 3)
J. of Economic Growth     Hybrid Journal   (Followers: 25, SJR: 5.251, h-index: 54)
J. of Economic Interaction and Coordination     Hybrid Journal   (SJR: 0.231, h-index: 11)
J. of Economics     Hybrid Journal   (Followers: 9, SJR: 0.463, h-index: 20)
J. of Economics and Finance     Hybrid Journal   (Followers: 7, SJR: 0.238, h-index: 15)
J. of Educational Change     Hybrid Journal   (Followers: 7, SJR: 0.694, h-index: 14)
J. of Elasticity     Hybrid Journal   (Followers: 4, SJR: 0.821, h-index: 38)
J. of Electroceramics     Hybrid Journal   (SJR: 0.566, h-index: 49)
J. of Electronic Materials     Hybrid Journal   (Followers: 2, SJR: 0.752, h-index: 68)
J. of Electronic Testing     Hybrid Journal   (Followers: 2, SJR: 0.241, h-index: 24)
J. of Electronics (China)     Hybrid Journal   (Followers: 3, SJR: 0.127, h-index: 7)
J. of Elementary Science Education     Hybrid Journal   (Followers: 8)
J. of Engineering Mathematics     Hybrid Journal   (SJR: 0.707, h-index: 32)
J. of Engineering Physics and Thermophysics     Hybrid Journal   (SJR: 0.132, h-index: 8)
J. of Engineering Research     Open Access  
J. of Engineering Thermophysics     Hybrid Journal   (SJR: 0.294, h-index: 7)
J. of Environmental Studies and Sciences     Partially Free   (Followers: 2)
J. of Ethology     Hybrid Journal   (Followers: 2, SJR: 0.484, h-index: 21)
J. of Evolution Equations     Hybrid Journal   (SJR: 1.312, h-index: 22)
J. of Evolutionary Biochemistry and Physiology     Hybrid Journal   (SJR: 0.127, h-index: 9)
J. of Evolutionary Economics     Hybrid Journal   (Followers: 8, SJR: 0.878, h-index: 42)
J. of Experimental and Theoretical Physics     Hybrid Journal   (Followers: 2, SJR: 0.565, h-index: 34)
J. of Experimental Criminology     Hybrid Journal   (Followers: 26, SJR: 1.587, h-index: 22)
J. of Failure Analysis and Prevention     Hybrid Journal   (Followers: 1, SJR: 0.256, h-index: 12)
J. of Family and Economic Issues     Hybrid Journal   (Followers: 6, SJR: 0.532, h-index: 27)
J. of Family Violence     Hybrid Journal   (Followers: 15, SJR: 0.552, h-index: 45)
J. of Financial Services Research     Hybrid Journal   (Followers: 16, SJR: 1.196, h-index: 29)
J. of Fixed Point Theory and Applications     Hybrid Journal   (SJR: 0.467, h-index: 10)
J. of Fluorescence     Hybrid Journal   (Followers: 4, SJR: 0.553, h-index: 47)
J. of Food Measurement and Characterization     Hybrid Journal   (SJR: 0.104, h-index: 1)
J. of Food Science and Technology     Hybrid Journal   (Followers: 5, SJR: 0.839, h-index: 21)
J. of Forest Research     Hybrid Journal   (Followers: 3, SJR: 0.578, h-index: 22)
J. of Forestry Research     Hybrid Journal   (Followers: 6, SJR: 0.271, h-index: 10)
J. of Fourier Analysis and Applications     Hybrid Journal   (Followers: 1, SJR: 1.248, h-index: 36)
J. of Friction and Wear     Hybrid Journal   (Followers: 6, SJR: 0.263, h-index: 6)
J. of Fusion Energy     Hybrid Journal   (Followers: 3, SJR: 0.389, h-index: 16)
J. of Gambling Studies     Hybrid Journal   (Followers: 3, SJR: 1.122, h-index: 50)
J. of Gastroenterology     Hybrid Journal   (Followers: 13, SJR: 1.724, h-index: 73)
J. of Gastrointestinal Cancer     Hybrid Journal   (Followers: 3, SJR: 0.371, h-index: 36)
J. of Gastrointestinal Surgery     Hybrid Journal   (Followers: 5, SJR: 1.632, h-index: 87)
J. of General Internal Medicine     Hybrid Journal   (Followers: 12, SJR: 2.379, h-index: 115)
J. of General Plant Pathology     Hybrid Journal   (SJR: 0.357, h-index: 17)
J. of Genetic Counseling     Hybrid Journal   (Followers: 4, SJR: 0.535, h-index: 32)
J. of Genetics     Open Access   (Followers: 4, SJR: 0.42, h-index: 24)
J. of Geodesy     Hybrid Journal   (Followers: 8, SJR: 4.049, h-index: 48)
J. of Geographical Sciences     Hybrid Journal   (Followers: 1, SJR: 0.58, h-index: 14)
J. of Geographical Systems     Hybrid Journal   (Followers: 2, SJR: 0.839, h-index: 32)
J. of Geometric Analysis     Hybrid Journal   (SJR: 1.496, h-index: 23)
J. of Geometry     Hybrid Journal   (Followers: 1, SJR: 0.349, h-index: 13)
J. of Global Optimization     Hybrid Journal   (Followers: 3, SJR: 0.919, h-index: 51)
J. of Global Policy and Governance     Hybrid Journal   (Followers: 8)
J. of Grid Computing     Hybrid Journal   (SJR: 0.727, h-index: 32)
J. of Hand and Microsurgery     Hybrid Journal   (Followers: 1)
J. of Happiness Studies     Hybrid Journal   (Followers: 14, SJR: 0.785, h-index: 30)
J. of Hematopathology     Hybrid Journal   (Followers: 3, SJR: 0.194, h-index: 11)
J. of Heuristics     Hybrid Journal   (Followers: 5, SJR: 1.718, h-index: 43)
J. of High Energy Physics     Hybrid Journal   (Followers: 4, SJR: 1.027, h-index: 139)
J. of Homotopy and Related Structures     Hybrid Journal   (SJR: 0.102, h-index: 1)
J. of Housing and the Built Environment     Hybrid Journal   (Followers: 6, SJR: 0.553, h-index: 21)
J. of Huazhong University of Science and Technology [Medical Sciences]     Hybrid Journal   (SJR: 0.317, h-index: 15)
J. of Ichthyology     Hybrid Journal   (Followers: 4, SJR: 0.28, h-index: 7)
J. of Immigrant and Minority Health     Hybrid Journal   (Followers: 8, SJR: 0.573, h-index: 29)
J. of Inclusion Phenomena and Macrocyclic Chemistry     Hybrid Journal   (Followers: 1, SJR: 0.459, h-index: 41)
J. of Indian Philosophy     Hybrid Journal   (Followers: 10, SJR: 0.179, h-index: 7)
J. of Indian Prosthodontic Society     Open Access   (SJR: 0.165, h-index: 5)
J. of Industrial Microbiology and Biotechnology     Hybrid Journal   (Followers: 10, SJR: 1.064, h-index: 68)
J. of Industry, Competition and Trade     Hybrid Journal   (Followers: 7, SJR: 0.411, h-index: 11)
J. of Infection and Chemotherapy     Hybrid Journal   (Followers: 1, SJR: 0.65, h-index: 39)
J. of Infrared, Millimeter and Terahertz Waves     Hybrid Journal   (Followers: 1, SJR: 0.902, h-index: 31)
J. of Inherited Metabolic Disease     Hybrid Journal   (Followers: 2, SJR: 1.182, h-index: 66)
J. of Inorganic and Organometallic Polymers and Materials     Partially Free   (Followers: 6, SJR: 0.316, h-index: 27)
J. of Insect Behavior     Hybrid Journal   (Followers: 8, SJR: 0.537, h-index: 36)
J. of Insect Conservation     Hybrid Journal   (Followers: 9, SJR: 0.775, h-index: 36)
J. of Intelligent and Robotic Systems     Hybrid Journal   (Followers: 2, SJR: 0.501, h-index: 36)
J. of Intelligent Information Systems     Hybrid Journal   (Followers: 1, SJR: 0.427, h-index: 39)
J. of Intelligent Manufacturing     Hybrid Journal   (Followers: 4, SJR: 1.095, h-index: 44)
J. of Interventional Cardiac Electrophysiology     Hybrid Journal   (SJR: 1.073, h-index: 38)
J. of Intl. Entrepreneurship     Hybrid Journal   (Followers: 8, SJR: 0.489, h-index: 16)
J. of Intl. Migration and Integration / Revue de l integration et de la migration internationale     Hybrid Journal   (Followers: 12, SJR: 0.385, h-index: 9)
J. of Labor Research     Hybrid Journal   (Followers: 14, SJR: 0.228, h-index: 21)
J. of Logic, Language and Information     Hybrid Journal   (Followers: 5, SJR: 0.63, h-index: 20)
J. of Low Temperature Physics     Hybrid Journal   (Followers: 1, SJR: 0.773, h-index: 48)
J. of Machinery Manufacture and Reliability     Hybrid Journal   (Followers: 2, SJR: 0.194, h-index: 4)
J. of Mammalian Evolution     Hybrid Journal   (Followers: 5, SJR: 1.845, h-index: 32)
J. of Mammary Gland Biology and Neoplasia     Hybrid Journal   (Followers: 1, SJR: 3.22, h-index: 73)
J. of Management and Governance     Hybrid Journal   (Followers: 12, SJR: 0.383, h-index: 26)
J. of Management Control     Hybrid Journal   (Followers: 4, SJR: 0.134, h-index: 4)
J. of Marine Science and Application     Hybrid Journal   (Followers: 3, SJR: 0.343, h-index: 8)
J. of Marine Science and Technology     Hybrid Journal   (Followers: 3, SJR: 0.317, h-index: 22)
J. of Maritime Archaeology     Hybrid Journal   (Followers: 21, SJR: 0.19, h-index: 5)
J. of Market-Focused Management     Hybrid Journal   (Followers: 2)
J. of Material Cycles and Waste Management     Hybrid Journal   (Followers: 3, SJR: 0.392, h-index: 16)
J. of Materials Engineering and Performance     Hybrid Journal   (Followers: 24, SJR: 0.666, h-index: 31)
J. of Materials Science     Hybrid Journal   (Followers: 18, SJR: 1.006, h-index: 101)
J. of Materials Science : Materials in Electronics     Hybrid Journal   (Followers: 3, SJR: 0.697, h-index: 48)
J. of Materials Science : Materials in Medicine     Hybrid Journal   (Followers: 4, SJR: 0.926, h-index: 77)
J. of Mathematical Biology     Hybrid Journal   (Followers: 13, SJR: 1.183, h-index: 61)
J. of Mathematical Chemistry     Hybrid Journal   (Followers: 5, SJR: 0.407, h-index: 41)
J. of Mathematical Fluid Mechanics     Hybrid Journal   (Followers: 5, SJR: 1.709, h-index: 17)
J. of Mathematical Imaging and Vision     Hybrid Journal   (Followers: 3, SJR: 1.25, h-index: 44)
J. of Mathematical Modelling and Algorithms     Hybrid Journal   (Followers: 2, SJR: 0.358, h-index: 19)
J. of Mathematical Sciences     Hybrid Journal   (SJR: 0.32, h-index: 20)
J. of Mathematics Teacher Education     Hybrid Journal   (Followers: 13, SJR: 1.042, h-index: 14)
J. of Maxillofacial and Oral Surgery     Hybrid Journal   (Followers: 1)
J. of Mechanical Science and Technology     Hybrid Journal   (Followers: 4, SJR: 0.589, h-index: 20)
J. of Medical and Biological Engineering     Hybrid Journal   (SJR: 0.434, h-index: 13)
J. of Medical Humanities     Hybrid Journal   (Followers: 18, SJR: 0.251, h-index: 13)
J. of Medical Systems     Hybrid Journal   (Followers: 2, SJR: 0.604, h-index: 32)
J. of Medical Toxicology     Hybrid Journal   (Followers: 6, SJR: 0.765, h-index: 21)
J. of Medical Ultrasonics     Hybrid Journal   (Followers: 2, SJR: 0.209, h-index: 11)
J. of Medicine and the Person     Hybrid Journal  
J. of Membrane Biology     Hybrid Journal   (Followers: 1, SJR: 0.971, h-index: 75)
J. of Micro-Bio Robotics     Hybrid Journal  
J. of Microbiology     Hybrid Journal   (Followers: 7, SJR: 0.641, h-index: 35)
J. of Mining Science     Hybrid Journal   (Followers: 5, SJR: 0.296, h-index: 11)
J. of Molecular Evolution     Hybrid Journal   (Followers: 11, SJR: 1.07, h-index: 99)
J. of Molecular Histology     Hybrid Journal   (Followers: 2, SJR: 0.791, h-index: 43)
J. of Molecular Medicine     Hybrid Journal   (Followers: 15, SJR: 2.452, h-index: 100)
J. of Molecular Modeling     Hybrid Journal   (Followers: 4, SJR: 0.55, h-index: 42)
J. of Molecular Neuroscience     Partially Free   (Followers: 8, SJR: 1.242, h-index: 61)
J. of Mountain Science     Hybrid Journal   (Followers: 3, SJR: 0.295, h-index: 11)
J. of Muscle Research and Cell Motility     Hybrid Journal   (SJR: 1.052, h-index: 51)
J. of Nanoparticle Research     Hybrid Journal   (Followers: 2, SJR: 0.777, h-index: 66)
J. of Natural Medicines     Hybrid Journal   (SJR: 0.586, h-index: 22)
J. of Near-Death Studies     Hybrid Journal   (Followers: 2)
J. of Nephrology     Hybrid Journal   (Followers: 5, SJR: 0.857, h-index: 48)
J. of Network and Systems Management     Hybrid Journal   (SJR: 0.331, h-index: 23)
J. of Neural Transmission     Hybrid Journal   (Followers: 2, SJR: 1.302, h-index: 77)
J. of Neuro-Oncology     Hybrid Journal   (Followers: 3, SJR: 1.342, h-index: 80)
J. of Neuroimmune Pharmacology     Hybrid Journal   (Followers: 1, SJR: 1.239, h-index: 36)
J. of Neurology     Hybrid Journal   (Followers: 13, SJR: 1.406, h-index: 91)
J. of NeuroVirology     Hybrid Journal   (Followers: 1, SJR: 1.367, h-index: 63)
J. of Nondestructive Evaluation     Hybrid Journal   (Followers: 7, SJR: 0.452, h-index: 22)
J. of Nonlinear Science     Hybrid Journal   (Followers: 1, SJR: 1.772, h-index: 36)
J. of Nonverbal Behavior     Hybrid Journal   (Followers: 3, SJR: 1.122, h-index: 38)
J. of Nuclear Cardiology     Hybrid Journal   (SJR: 1.456, h-index: 60)
J. of Nutrition, Health and Aging     Hybrid Journal   (Followers: 17, SJR: 0.886, h-index: 50)
J. of Obstetrics and Gynecology of India     Hybrid Journal   (Followers: 7, SJR: 0.174, h-index: 3)
J. of Occupational Rehabilitation     Hybrid Journal   (Followers: 11, SJR: 1.166, h-index: 43)
J. of Ocean Engineering and Marine Energy     Hybrid Journal   (Followers: 1)
J. of Ocean University of China (English Edition)     Hybrid Journal   (SJR: 0.144, h-index: 8)
J. of Oceanography     Hybrid Journal   (Followers: 7, SJR: 1.031, h-index: 46)
J. of Ocular Biology, Diseases, and Informatics     Hybrid Journal   (SJR: 0.228, h-index: 8)
J. of Optical and Fiber Communications Reports     Hybrid Journal   (Followers: 2, SJR: 0.831, h-index: 2)
J. of Optics     Hybrid Journal   (Followers: 4)
J. of Optimization Theory and Applications     Hybrid Journal   (Followers: 2, SJR: 0.928, h-index: 55)
J. of Ornithology     Hybrid Journal   (Followers: 20)
J. of Orofacial Orthopedics / Fortschritte der Kieferorthop√§die     Hybrid Journal   (SJR: 0.667, h-index: 27)
J. of Orthopaedic Science     Hybrid Journal   (Followers: 5, SJR: 0.684, h-index: 42)
J. of Paleolimnology     Hybrid Journal   (Followers: 5, SJR: 1.284, h-index: 58)
J. of Parasitic Diseases     Hybrid Journal   (Followers: 2, SJR: 0.272, h-index: 5)
J. of Pediatric Neuropsychology     Hybrid Journal  
J. of Pest Science     Hybrid Journal   (Followers: 2, SJR: 1.002, h-index: 21)
J. of Pharmaceutical Health Care and Sciences     Open Access  
J. of Pharmaceutical Innovation     Hybrid Journal   (Followers: 7, SJR: 0.617, h-index: 14)
J. of Pharmaceutical Investigation     Hybrid Journal   (Followers: 1, SJR: 0.16, h-index: 2)
J. of Pharmacokinetics and Pharmacodynamics     Hybrid Journal   (Followers: 22, SJR: 0.567, h-index: 41)
J. of Phase Equilibria and Diffusion     Hybrid Journal   (Followers: 19, SJR: 0.367, h-index: 31)
J. of Philosophical Logic     Hybrid Journal   (Followers: 7, SJR: 0.94, h-index: 20)
J. of Physiology and Biochemistry     Hybrid Journal   (Followers: 3, SJR: 0.741, h-index: 30)
J. of Plant Biochemistry and Biotechnology     Hybrid Journal   (Followers: 5, SJR: 0.257, h-index: 17)
J. of Plant Biology     Hybrid Journal   (Followers: 9, SJR: 0.52, h-index: 16)
J. of Plant Growth Regulation     Hybrid Journal   (Followers: 1, SJR: 0.761, h-index: 47)
J. of Plant Research     Hybrid Journal   (Followers: 4, SJR: 1.055, h-index: 43)
J. of Police and Criminal Psychology     Hybrid Journal   (Followers: 414, SJR: 0.328, h-index: 10)
J. of Polymer Research     Hybrid Journal   (Followers: 6, SJR: 0.649, h-index: 27)
J. of Polymers and the Environment     Hybrid Journal   (Followers: 1, SJR: 0.618, h-index: 39)
J. of Population Ageing     Hybrid Journal   (Followers: 4, SJR: 0.357, h-index: 3)
J. of Population Economics     Hybrid Journal   (Followers: 16, SJR: 2.455, h-index: 42)
J. of Population Research     Hybrid Journal   (Followers: 1, SJR: 0.404, h-index: 10)
J. of Porous Materials     Hybrid Journal   (Followers: 3, SJR: 0.523, h-index: 34)
J. of Primary Prevention     Hybrid Journal   (Followers: 6, SJR: 0.816, h-index: 30)
J. of Productivity Analysis     Hybrid Journal   (Followers: 2, SJR: 0.825, h-index: 48)
J. of Pseudo-Differential Operators and Applications     Hybrid Journal   (SJR: 1.275, h-index: 5)
J. of Psycholinguistic Research     Hybrid Journal   (Followers: 9, SJR: 0.445, h-index: 37)
J. of Psychology and Judaism     Hybrid Journal   (Followers: 2)
J. of Psychopathology and Behavioral Assessment     Hybrid Journal   (Followers: 1, SJR: 0.949, h-index: 39)
J. of Psychosocial Rehabilitation and Mental Health     Hybrid Journal   (Followers: 2)
J. of Public Health     Hybrid Journal   (Followers: 23, SJR: 0.262, h-index: 17)
J. of Quantitative Criminology     Hybrid Journal   (Followers: 6, SJR: 2.481, h-index: 44)
J. of Racial and Ethnic Health Disparities     Hybrid Journal   (Followers: 1)
J. of Radiation Oncology     Hybrid Journal   (Followers: 1)
J. of Radioanalytical and Nuclear Chemistry     Hybrid Journal   (Followers: 5, SJR: 0.515, h-index: 44)
J. of Radiosurgery     Hybrid Journal   (Followers: 2)
J. of Rational-Emotive & Cognitive-Behavior Therapy     Hybrid Journal   (Followers: 1, SJR: 0.394, h-index: 19)
J. of Real-Time Image Processing     Hybrid Journal   (Followers: 6, SJR: 0.356, h-index: 16)
J. of Regulatory Economics     Hybrid Journal   (Followers: 7, SJR: 1.081, h-index: 35)
J. of Religion and Health     Hybrid Journal   (Followers: 10, SJR: 0.483, h-index: 18)
J. of Religious Education     Hybrid Journal   (Followers: 3)
J. of Risk and Uncertainty     Hybrid Journal   (Followers: 19, SJR: 2.34, h-index: 46)
J. of Robotic Surgery     Hybrid Journal   (SJR: 0.227, h-index: 11)
J. of Russian Laser Research     Hybrid Journal   (SJR: 0.326, h-index: 18)
J. of Scheduling     Hybrid Journal   (Followers: 2, SJR: 1.417, h-index: 38)
J. of Science Education and Technology     Hybrid Journal   (Followers: 16, SJR: 0.754, h-index: 30)
J. of Science Teacher Education     Hybrid Journal   (Followers: 17, SJR: 1.128, h-index: 22)
J. of Scientific Computing     Hybrid Journal   (Followers: 18, SJR: 1.771, h-index: 42)
J. of Seismology     Hybrid Journal   (Followers: 8, SJR: 0.855, h-index: 34)

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Journal Cover Environmental Fluid Mechanics
  [SJR: 0.437]   [H-I: 24]   [3 followers]  Follow
    
   Hybrid Journal Hybrid journal (It can contain Open Access articles)
   ISSN (Print) 1573-1510 - ISSN (Online) 1567-7419
   Published by Springer-Verlag Homepage  [2281 journals]
  • Diffusional mass transfer coefficient at the water–sediment
           interface for wind-induced flow in very shallow lagoons
    • Abstract: Very shallow lagoons that are a few centimeters deep are common in the arid Andes of Northern Chile, Argentina, Bolivia and Perú. The dynamics of these lagoons are dominated by the water–sediment interface (WSI) and strong afternoon winds. Although many studies have examined the diffusional mass transfer coefficients (k t ) of open channel flows, estimates for wind-induced flows are still unknown. The aim of this article is to propose and validate an analytical expression for computing k t at the WSI for wind-induced flow. The laboratory measurements were conducted in a wind tunnel with a water tank of variable depth located at its downwind end. Natural muddy sediments were placed in the middle of the tank so that the dissolved oxygen (DO) was consumed in the sediments. The diffusional mass transfer coefficient that characterizes the DO uptake in the sediment was obtained from DO micro-profiles measured with an OX-25 Unisense microelectrode. Water velocity profiles were measured with a 2D side-view Sontek acoustic doppler velocimetry (ADV), and the wind shear velocity was computed based on wind velocity profiles that were measured with an Extech hot-wire anemometer. A total of 16 experiments were conducted with different water depths and wind shear stresses. The constants required by the model were determined from these experiments, and the analytical expression was successfully validated by the laboratory observations. The analytical expression obtained for computing k t was also validated with field observations that were conducted in October, 2012, in Salar del Huasco, Northern Chile (20.274° S, 68.883° W, 3800 m above sea level). The comparison between the observed and predicted values of k t provides a determination coefficient of r 2 = 0.48 and a p value < 0.01. The results show that the value of k t for wind-induced flow is proportional to the wind shear velocity and the inverse of the Reynolds number of the wind-induced current.
      PubDate: 2016-06-01
       
  • Prediction of mass and momentum transport in turbulent plane wall jets
           over smooth and transitionally rough surfaces
    • Abstract: This paper is concerned with the prediction of mass and momentum transport in turbulent wall jets developing over smooth and transitionally rough plane walls. The ability to accurately predict the resulting wall shear stresses and vertical profiles of the Reynolds stresses in these flows is prerequisite to the accurate prediction of bed scour, sediment re-suspension and transport by turbulent diffusion. The computations were performed by solving the Reynolds-averaged forms of the equations describing conservation of mass, momentum and concentration. The unknown correlations that arise from the averaging process (the Reynolds stresses in the case of the momentum equation, and the turbulent mass fluxes in the case of concentration) were obtained from the solution of modeled differential equations that describe their conservation. Since these models are somewhat more complex than those typically used in practice, their benefits are demonstrated by comparisons with results obtained from simpler, eddy-viscosity based closures. Comparisons with experimental data show that results of acceptable accuracy can be obtained only by using the appropriate combination of models for the turbulent fluxes of mass and momentum that properly account for the reduction of the Reynolds stresses due to wall damping effects, and for the modification of the mass transfer rates due to interactions with the mean rates of strain.
      PubDate: 2016-06-01
       
  • Study of flow formed by three coplanar impinging pipe jets at inclination
           angles of 30° and 45°
    • Abstract: This paper presents an experimental study of the interactions of three fully-submerged, coplanar impinging jets issued from long pipes. The jets were neutrally buoyant and were arranged symmetrically about the axis of a central jet, with two side jets set to intersect with the central jet at two inclination angles (30° and 45°) and three Reynolds numbers (4240, 6400 and 8000). Measurements of the flow fields were performed using particle image velocimetry to examine the flow structures in various planes, i.e., the jet axis plane (X–Y), the jet normal plane (X–Z) and the cross-sectional plane (Y–Z). This flow configuration results in pronounced interactions among the three jets, and hence better mixing than that of a canonical single pipe jet as illustrated by augmented centreline velocity decay, spreading rate and turbulence level. The jets at the inclination angle of 45° impinge and mix more rapidly than those at 30°. For each case, the flow is highly 3-dimensional, and jet development displayed several distinct regions (converging, merging and combining) along the streamwise direction. The expansion of flow in the X–Y plane is similar to the shape of a hyperbola with necking formed immediately downstream of the impinging point, whereas that in the X–Z plane assumes the shape of a parabola with an open rim exhibiting a pronounced velocity deficit in the central part of the combining flow. Self-similarity of streamwise mean velocity is explored in the combining region of the flow on the two planes of symmetry (X–Y and X–Z). Flow development in the combining region is dominated by large-scale vortical structures, including von Kárman-like spanwise vortices in the X–Y plane and secondary circulation in the form of two pairs of counter-rotating streamwise vortices in the Y–Z plane.
      PubDate: 2016-06-01
       
  • Embedded large eddy simulation approach for pollutant dispersion around a
           model building in atmospheric boundary layer
    • Abstract: In the present article, the potential of embedded large eddy simulation (ELES) approach to reliably predict pollutant dispersion around a model building in atmospheric boundary layer is assessed. The performance of ELES in comparison with large eddy simulation (LES) is evaluated in several ways. These include a number of qualitative and quantitative comparisons of time-averaged and instantaneous results with wind tunnel measurements supplemented by statistical data analyses using scatter plots and standard evaluation metrics. Results obtained by both LES and ELES approaches show very good agreement with the experiment. However, addition of turbulence to mean flow at Reynolds averaged Navier–Stokes (RANS)–LES interface in ELES approach not only increases the turbulence intensity, it also results in larger values of turbulent kinetic energy (TKE) as well as a shorter reattachment length in the wake region. Accordingly, higher levels of TKE predicted by ELES increase the local intensity of concentration leading to shorter plume shapes as compared with LES. In general, ELES shows better agreement with experiment on the surfaces of model building and also in the downstream wake region. In terms of computational costs, the CPU time required to obtain statistical values in ELES is about 49 % lower than that of LES and the number of iterations per time step is also reduced by 55 % as compared with LES.
      PubDate: 2016-06-01
       
  • Velocity measurements in inclined negatively buoyant jets
    • Abstract: Experiments were performed with a particle tracking velocimetry system to investigate the behaviour of inclined negatively buoyant jets with source angles of 15°, 30°, 45°, 60°, 65°, 70°, and 75° in stationary ambient conditions. Velocities were measured in a plane aligned with the central axis of the flow and the experiments were designed such that the flow did not interact with boundaries in the region were the flow behaviour was measured. The results of this study complement previous research, which has largely focused on the mean geometric characteristics and the mean dilution of the discharged fluid. Geometric characteristics, spreading rates, and time-averaged (mean) centreline velocity results are compared with relevant experimental results from previous studies and integral model predictions. Axial and transverse mean velocity profiles at maximum height and the return point provide additional insights into the detrainment of discharged fluid due to the unstable density gradient on the inner side of the flow.
      PubDate: 2016-06-01
       
  • Estimation method to identify scalar point source in turbulent flow based
           on Taylor’s diffusion theory
    • Abstract: We introduce a new approach to diffusion-source estimation for quick identification of the unknown source, based on Taylor’s diffusion theory for turbulent transport of passive scalar from a fixed point source. In order to evaluate the method, we used planar laser-induced fluorescence to measure the concentration field of fluorescent dye in water flowing in a channel. We considered two kinds of datasets: basis data and observed data. The former is used to determine the basis functions characterizing the streamwise dependence of variances for three statistics: the mean concentration, root-mean-square (RMS) of fluctuations in the concentration, and RMS of the temporal gradient of the fluctuating concentration. Consistent with Taylor’s theory, we found that the lateral distribution of each statistic was basically Gaussian, and their standard deviations increased as a function of the square root of the distance from the emitted point. Based on these facts, a basis function can be formulated and expected to be valid for estimation of unknown sources. Source estimation was performed with the observed data, which corresponded to limited available information about the concentration from an unknown point source. We confirmed a good prediction accuracy of the proposed method with an averaged bias as small as the turbulent integral scale. Better precision was achieved by employing several statistics simultaneously. In this case, the standard deviation of the estimated source position was assessed at 14 % of the mean distance between the source and measurement points, after 100 source-estimate trials with different datasets. The methodology tested in this paper is expected to be applicable more general and complex environmental diffusion issues involving anisotropic turbulent dispersion, and space–time variable mainstream systems; but its versatility in such systems is currently under investigation.
      PubDate: 2016-06-01
       
  • Simulations of the flow in the Mahakam river–lake–delta
           system, Indonesia
    • Abstract: Large rivers often present a river–lake–delta system, with a wide range of temporal and spatial scales of the flow due to the combined effects of human activities and various natural factors, e.g., river discharge, tides, climatic variability, droughts, floods. Numerical models that allow for simulating the flow in these river–lake–delta systems are essential to study them and predict their evolution under the impact of various forcings. This is because they provide information that cannot be easily measured with sufficient temporal and spatial detail. In this study, we combine one-dimensional sectional-averaged (1D) and two-dimensional depth-averaged (2D) models, in the framework of the finite element model SLIM, to simulate the flow in the Mahakam river–lake–delta system (Indonesia). The 1D model representing the Mahakam River and four tributaries is coupled to the 2D unstructured mesh model implemented on the Mahakam Delta, the adjacent Makassar Strait, and three lakes in the central part of the river catchment. Using observations of water elevation at five stations, the bottom friction for river and tributaries, lakes, delta, and adjacent coastal zone is calibrated. Next, the model is validated using another period of observations of water elevation, flow velocity, and water discharge at various stations. Several criteria are implemented to assess the quality of the simulations, and a good agreement between simulations and observations is achieved in both calibration and validation stages. Different aspects of the flow, i.e., the division of water at two bifurcations in the delta, the effects of the lakes on the flow in the lower part of the system, the area of tidal propagation, are also quantified and discussed.
      PubDate: 2016-06-01
       
  • Near-boundary velocity and turbulence in depth-varying stream flows
    • Abstract: This research examined the temporal distribution of turbulent structure near a streambank toe through the progression of a flood wave in West Run (Morgantown, WV, USA). Three-dimensional velocities and water depths were measured through a 17-h flood event. Turbulence characteristics were examined: Reynolds stresses, turbulent kinetic energy, and turbulence intensities. On average, near-boundary velocity during the rising stage was less than the falling stage, likely due to the measurement location and local roughness. The velocity vectors shifted from towards bed before the flood wave to toward the streambank during progression of the flood wave. Turbulent kinetic energy increased with increasing water depth during the rising stage. Reynolds stress, τxz, increased with increasing water depth during the rising stage, but the majority of the stresses were negative through the storm event. Reynolds stress, τxy, was positive throughout the event and did not vary with depth. This work is among the first to evaluate turbulence during depth-varying flows in the field.
      PubDate: 2016-06-01
       
  • Scale dependency of dynamic relative permeability–satuartion curves
           in relation with fluid viscosity and dynamic capillary pressure effect
    • Abstract: Capillary pressure–saturation-relative permeability relationships (Pc–Sw–Kr) are functions of importance in modeling and simulations of the hydrodynamics of two-phase flow in porous media. These relationships are found to be affected by porous medium and fluid properties but the manner in which they are affected is a topic of intense discussion. For example, reported trends in fluid viscosity and boundary conditions effects have been found to be contrary to each other in different studies. In this work, we determine the dependency of dynamic Kr–Sw relationships (averaged data) on domain scale in addition to investigating the effects of fluid viscosity and boundary pressure using silicone oil (i.e. 200 and 1000 cSt) and water as the respective non-wetting and wetting fluids with a view to eliminating some of the uncertainties reported in the literature. Water relative permeability, Krw, was found to increase with increasing wetting phase saturation but decreases with the increase in viscosity ratio. On the other hand, the oil relative permeability, Krnw, was found to increase with the increasing non-wetting phase saturation in addition to the increase in viscosity ratio. Also, it was found that with the increasing boundary pressure Krw decreases while Krnw increases. The influence of scale on relative permeability was slightly indicated in the non-wetting phase with Krnw decreasing as domain size increases. Effect of measurement location on dynamic relative permeability was explored which is rarely found in the literature. Comparison was also made between Kr–Sw relationships obtained under static and dynamic condition. Finally, mobility ratio (m) and dynamic coefficient (τ) were plotted as a function of water saturation (Sw), which showed that m decreases as τ increases at a given saturation, or vice versa.
      PubDate: 2016-05-10
       
  • Influence of planform geometry and momentum ratio on thermal mixing at a
           stream confluence with a concordant bed
    • Abstract: The effects of planform geometry and momentum flux ratio on thermal mixing at a stream confluence with concordant bed morphology are investigated based on numerical simulations that can capture the dynamics of large-scale turbulence. In two simulations, the bathymetry and asymmetrical planform geometry are obtained from field experiments and the momentum flux ratio is set at values of one and four. These two conditions provide the basis for studying differences in thermal mixing processes at this confluence when the wake mode and the Kelvin–Helmholtz mode dominate the development of coherent structures within the mixing interface (MI). The effects of channel curvature and angle between the two incoming streams on thermal mixing processes are investigated based on simulations conducted with modified planform geometries. Two additional simulations are conducted for the case where the upstream channels are parallel but not aligned with the downstream channel and for the zero-curvature case where the upstream channels are parallel and aligned with the downstream channel. The simulations highlight the influence of large-scale coherent structures within the MI and of streamwise-oriented vortical (SOV) cells on thermal mixing processes within the confluence hydrodynamics zone. Simulation results demonstrate the critical role played by the SOV cells in promoting large-scale thermal mixing for cases when such cells form in the immediate vicinity of the MI and in modifying the shape of the thermal MI within cross sections of the downstream channel—predictions consistent with empirical measurements of thermal mixing at the confluence. The set of numerical simulations reveal that the degree of thermal mixing occurring within the confluence hydrodynamic zone varies dramatically with planform geometry and incoming flow conditions. In some cases thermal mixing at the downstream end of the confluence hydrodynamic zone is limited to the MI and its immediate vicinity, whereas in others substantial thermal mixing has occurred over most of the cross-sectional area of the flow. Overall, the simulations highlight the flow conditions and the controls of these conditions that influence mixing within the immediate vicinity of a confluence.
      PubDate: 2016-05-05
       
  • Eddy diffusivity: a single dispersion analysis of high resolution drifters
           in a tidal shallow estuary
    • Abstract: In an estuary, mixing and dispersion resulting from turbulence and small scale fluctuation has strong spatio-temporal variability which cannot be resolved in conventional hydrodynamic models while some models employs parameterizations large water bodies. This paper presents small scale diffusivity estimates from high resolution drifters sampled at 10 Hz for periods of about 4 h to resolve turbulence and shear diffusivity within a tidal shallow estuary (depth <3 m). Taylor’s diffusion theorem forms the basis of a first order estimate for the diffusivity scale. Diffusivity varied between 0.001 and 0.02 m2/s during the flood tide experiment. The diffusivity showed strong dependence (R2 > 0.9) on the horizontal mean velocity within the channel. Enhanced diffusivity caused by shear dispersion resulting from the interaction of large scale flow with the boundary geometries was observed. Turbulence within the shallow channel showed some similarities with the boundary layer flow which include consistency with slope of 5/3 predicted by Kolmogorov’s similarity hypothesis within the inertial subrange. The diffusivities scale locally by 4/3 power law following Okubo’s scaling and the length scale scales as 3/2 power law of the time scale. The diffusivity scaling herein suggests that the modelling of small scale mixing within tidal shallow estuaries can be approached from classical turbulence scaling upon identifying pertinent parameters.
      PubDate: 2016-05-04
       
  • Vertical oil dispersion profile under non-breaking regular waves
    • Abstract: An experimental program was conducted to investigate vertical oil dispersion of surface oil spills under non-breaking regular waves. The variation in oil concentration caused by oil dispersion in a water column was studied to determine the vertical oil dispersion profile. The experiments were performed using different waves characteristics for different volumes of oil spill to evaluate the variation in oil concentration at three depths at two sampling stations. The correlations between oil concentration and the main parameters of wave characteristics, oil spill volume, sampling depth, and distance of sampling stations to spill location were assessed. The results revealed that the trend of variation in oil concentration versus wave steepness is linear. The results obtained from experimental measurements indicated that the oil concentrations at mid-depth were 44–77 % and the concentrations near the flume bed were 12–33 % of the concentration near the water surface.
      PubDate: 2016-05-04
       
  • Numerical simulations of intrusive gravity currents interacting with a
           bottom-mounted obstacle in a continuously stratified ambient
    • Abstract: In this study, the flow dynamics of intrusive gravity currents past a bottom-mounted obstacle were investigated using highly resolved numerical simulations. The propagation dynamics of a classic intrusive gravity current was first simulated in order to validate the numerical model with previous laboratory experiments. A bottom-mounted obstacle with a varying non-dimensional height of \(\tilde{D}=D/H\) , where D is the obstacle height and H is the total flow depth, was then added to the problem in order to study the downstream flow pattern of the intrusive gravity current. For short obstacles, the intrusion re-established itself downstream without much distortion. However, for tall obstacles, the downstream flow was found to be a joint effect of horizontal advection, overshoot-springback phenomenon, and associated Kelvin-Helmholtz instabilities. Analysis of the numerical results show that the relationship between the downstream propagation speed and the obstacle height can be subdivided into three regimes: (1) a retarding regime ( \(\tilde{D}\) \(\approx \) 0–0.3) where a 30 % increase in obstacle height leads to a 20 % reduction in propagation speed, simply due to the obstacle’s retarding effect; (2) an impounding regime ( \(\tilde{D}\) \(\approx \) 0.3–0.6) where the additional 30 % increase in obstacle height only leads to a further (negligible) 5 % reduction in propagation speed, due to the accelerating effect of upstream impoundment and downstream enhanced mixing; and (3) a choking regime ( \(\tilde{D}\) \(\approx \) 0.6–1.0) where the propagation speed is dramatically reduced due to the dominance of the obstacle’s blocking effect. The obstacle thickness was found to be irrelevant in determining the downstream propagation speed at least for the parameter range explored in this study. The present work highlights the significance of topographic effects in stratified flows with horizontal pressure forcing.
      PubDate: 2016-05-02
       
  • Characteristics of flow structure of free-surface flow in a partly
           obstructed open channel with vegetation patch
    • Abstract: Free-surface flows over patchy vegetation are common in aquatic environments. In this study, the hydrodynamics of free-surface flow in a rectangular channel with a bed of rigid vegetation-like cylinders occupying half of the channel bed was investigated and interpreted by means of laboratory experiments and numerical simulations. The channel configurations have low width-to-depth aspect ratio (1.235 and 2.153). Experimental results show that the adjustment length for the flow to be fully developed through the vegetation patch in the present study is shorter than observed for large-aspect-ratio channels in other studies. Outside the lateral edge of the vegetation patch, negative velocity gradient ( \(\partial \overline{u}/\partial z < 0\) ) and a local velocity maximum are observed in the vertical profile of the longitudinal velocity in the near-bed region, corresponding to the negative Reynolds stress ( \(- \overline{{u^{\prime}w^{\prime}}} < 0\) ) at the same location. Assuming coherent vortices to be the dominant factor influencing the mean flow field, an improved Spalart–Allmaras turbulence model is developed. The model improvement is based on an enhanced turbulence length scale accounting for coherent vortices due to the effect of the porous vegetation canopy and channel bed. This particular flow characteristic is more profound in the case of high vegetation density due to the stronger momentum exchange of horizontal coherent vortices. Numerical simulations confirmed the local maximum velocity and negative gradient in the velocity profile due to the presence of vegetation and bed friction. This in turn supports the physical interpretation of the flow processes in the partly obstructed channel with vegetation patch. In addition, the vertical profile of the longitudinal velocity can also be explained by the vertical behavior of the horizontal coherent vortices based on a theoretical argument.
      PubDate: 2016-04-28
       
  • Simulation-based optimization of in–stream structures design:
           bendway weirs
    • Abstract: Bendway weirs are one of the most practical in–stream rock structures utilized to protect the outer bend of meandering streams and rivers from erosion. We present development of a simulation-based paradigm for effective design of bendway weir structures to enhance meandering stream bank stability and control lateral migration. To do so, we employ the St. Anthony Falls Laboratory Virtual StreamLab (VSL3D) code to elucidate the flow and sediment transport phenomena induced by interaction of flow, mobile bed, and in–stream structures in large rivers under prototype conditions. We carried out numerous numerical experiments to systematically simulate various arrangements of bendway weir in two river test-beds and gaining insights into the physical mechanisms via which such bendway weirs modify turbulent flow, sediment transport and scour processes. The so-gained physical insights are then taken into account to develop a set of practical physics-based design criteria for optimal placement of bendway weirs in large rivers.
      PubDate: 2016-04-27
       
  • Prediction of the upper tail of concentration distributions of a
           continuous point source release in urban environments
    • Abstract: The peak values observed in a measured concentration time series of a dispersing gaseous pollutant released continuously from a point source in urban environments, and the hazard level associated with them, demonstrate the necessity of predicting the upper tail of concentration distributions. For the prediction of concentration distributions statistical models are preferably employed which provide information about the probability of occurrence. In this paper a concentration database pertaining to a field experiment is used for the selection of the statistical distribution. The inverses of the gamma cumulative distribution function (cdf) for 75th–99th percentiles of concentration are found to be more consistent with the experimental data than those of the log-normal distribution. The experimental values have been derived from measured high frequency time series by sorting first the concentrations and then finding the concentration which corresponds to each probability. Then the concentration mean and variance that are predicted with Computational Fluid Dynamics-Reynolds Averaged Navier–Stokes (RANS) methodology are used to construct the gamma distribution. The proposed model (“RANS-gamma”) is included in the framework of a computational code (ADREA-HF) suitable for simulating the dispersion of airborne pollutants over complex geometries. The methodology is validated by comparing the inverses of the model cdfs with the observed ones from two wind tunnel experiments. The evaluation is performed in the form of validation metrics such as the fractional bias, the normalized mean square error and the factor-of-two percentage. From the above comparisons it is concluded that the overall model performance for the present cases is satisfactory.
      PubDate: 2016-04-27
       
  • Self-contamination of aquaculture cages in shallow water
    • Abstract: Fish farms, which initially colonized quiet and protected natural coastal areas, are now frequently installed in open flow zones, due to the lack of space along coasts and to the emergence of new environmental constraints. For the past two decades, a salmon fish farm has been located inside the roadstead of Cherbourg (France) to benefit from both sea protection and tide currents which regularly refresh the water. In spite of these favourable environmental conditions, periods of non-negligible fish mortalities have been observed to occur without clear evidence of their origin. This motivated the turbidity measurements and the numerical simulations presented in this paper. Firstly, it is shown that high turbidities in the farm site under study are mainly due to the flow acceleration under the cages, which causes the re-suspension of sediments and bio-deposits. Secondly, particles which enter the fishnet can have different origins (external source, bottom, or the net itself). Numerical simulations, based on the Reynolds equations and on the discrete random walk model for particle dispersion, suggest that the rear area of the net can be reached by particles emerging from below the net. It is observed that turbulent dispersion is a key ingredient for such a behaviour, as it can lead particles towards a large recirculation cell behind the net. Dispersion by realistic unsteady vortices has also been analysed by means of a Lattice-Boltzmann model. Though these computations involve smaller Reynolds numbers, they confirm qualitatively the observations of the random walk model. In addition, they suggest that vortex shedding and unsteady recirculation cells near the bottom can force particles from the sand bed to be lifted up and reach the rear of the net.
      PubDate: 2016-04-12
       
  • Experimental assessment of characteristic turbulent scales in two-phase
           flow of hydraulic jump: from bottom to free surface
    • Abstract: A hydraulic jump is a turbulent shear flow with a free-surface roller. The turbulent flow pattern is characterised by the development of instantaneous three-dimensional turbulent structures throughout the air–water column up to the free surface. The length and time scales of the turbulent structures are key information to describe the turbulent processes, which is of significant importance for the improvement of numerical models and physical measurement techniques. However, few physical data are available so far due to the complexity of the measurement. This paper presents an investigation of a series of characteristic turbulent scales for hydraulic jumps, covering the length and time scales of turbulent flow structures in bubbly flow, on free surface and at the impingement point. The bubbly-flow turbulent scales are obtained for Fr = 7.5 with 3.4 × 104 < Re < 1.4 × 105 in both longitudinal and transverse directions, and are compared with the free-surface scales. The results highlight three-dimensional flow patterns with anisotropic turbulence field. The turbulent structures are observed with different length and time scales respectively in the shear flow region and free-surface recirculation region. The bubbly structures next to the roller surface and the free-surface fluctuation structures show comparable length and time scales, both larger than the scales of vortical structures in the shear flow and smaller than the scales of impingement perimeter at the jump toe. A decomposition of physical signals indicates that the large turbulent scales are related to the unsteady motion of the flow in the upper part of the roller, while the high-frequency velocity turbulence dominates in the lower part of the roller. Scale effects cannot be ignored for Reynolds number smaller than 4 × 104, mainly linked to the formation of large eddies in the shear layer. The present study provides a comprehensive assessment of turbulent scales in hydraulic jump, including the analyses of first data set of longitudinal bubbly-flow integral scales and transverse jump toe perimeter integral scales.
      PubDate: 2016-04-08
       
  • Variations of bed elevations due to turbulence around submerged cylinder
           in sand beds
    • Abstract: This paper presents the spatio-temporal variations in bed elevations and the near-bed turbulence statistics over the deformed bed generated around the submerged cylindrical piers embedded vertically on loose sediment bed at a constant flow discharge. Experiments were carried out in a laboratory flume for three blockage ratios in the range of 0.04–0.06 using three different sizes of submerged cylinders individually placed vertically at the centerline of the flume. Clear-water experimental conditions were maintained over the smooth sediment bed surface with a constant flow discharge ( \(Q = 0.015\,{\rm m}^3/{\rm sec}\) ), thereby giving three different cylinder Reynolds numbers \(Re_{D_c} = \frac{U_mD_c}{\nu }\) (=10200, 12750, 15300) away from the cylinder locations, where \(U_m\) is the maximum mean velocity, \(D_c\) is the cylinder diameter and \(\nu\) is the kinematic viscosity of fluid. Instantaneous sand bed elevations around the cylinders were recorded using a SeaTek 5MHz ultrasonic ranging system of net 24 transducers to estimate bed form migration, and the near-bed velocity data at transducer locations over the stable deformed bed around the pier-like structures were collected using down-looking three-dimensional (3D) Micro-acoustic Doppler velocimeter to estimate the bottom Reynolds shear stresses and the contributions of bursting events to the dominant shear stress component. The flow perturbation generated due to relatively lower flow blockage ratio favored to achieve the stable bed condition more rapidly than the others, and larger upstream scour-depth and deformed areas were noticed for greater flow blockage ratio due to larger cylinder diameter. For larger blockage ratio in the upstream of scour-hole near the bed, occurrences of probabilities of both boundary-ward interactions (Q1 and Q3) were the dominant; whereas in the downstream of the scoured region, occurrences of probabilities of second and third quadrant events (Q2 and Q4) were dominant. On the other hand, for the lower blockage ratio, quadrant (Q2) was dominant over Q4 in the downstream of scour-hole, and in the upstream of scour-hole, quadrant Q4 was the dominant.
      PubDate: 2016-04-08
       
  • Growth and damping of interfacial waves on a diffuse interface
    • Abstract: The resonant interaction of surface and internal waves produces a nonlinear mechanism for energy transfer among wave components in oceans, lakes, and estuaries. In many field situations, the stratification may be well approximated by a two-layer fluid with a diffuse interface. The growth and damping rates of sub-harmonic interfacial waves generated by a surface wave through a three-wave resonant interaction are measured in the laboratory. These measurements are compared with theoretical predictions. A diffuse interface reduces the damping rate and increases the growth rate. The predicted growth rate provides excellent comparison with the laboratory measurements. The inclusion of the effects of a diffuse interface significantly improve the comparison.
      PubDate: 2016-04-01
       
 
 
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