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Journal articles on the topic 'Interactions air'

Author: Grafiati

Published: 4 June 2021

Last updated: 13 February 2022

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1

Sun, Jielun, and Jeffrey R. French. "Air–Sea Interactions in Light of New Understanding of Air–Land Interactions." Journal of the Atmospheric Sciences 73, no. 10 (September 21, 2016): 3931–49. http://dx.doi.org/10.1175/jas-d-15-0354.1.

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Abstract Air–sea interactions are investigated using the data from the Coupled Boundary Layers Air–Sea Transfer experiment under low wind (CBLAST-Low) and the Surface Wave Dynamics Experiment (SWADE) over sea and compared with measurements from the 1999 Cooperative Atmosphere–Surface Exchange Study (CASES-99) over land. Based on the concept of the hockey-stick transition (HOST) hypothesis, which emphasizes contributions of large coherent eddies in atmospheric turbulent mixing that are not fully captured by Monin–Obukhov similarity theory, relationships between the atmospheric momentum transfer and the sea surface roughness, and the role of the sea surface temperature (SST) and oceanic waves in the turbulent transfer of atmospheric momentum, heat, and moisture, and variations of drag coefficient Cd(z) over sea and land with wind speed V are studied. In general, the atmospheric turbulence transfers over sea and land are similar except under weak winds and near the sea surface when wave-induced winds and oceanic currents are relevant to wind shear in generating atmospheric turbulence. The transition of the atmospheric momentum transfer between the stable and the near-neutral regimes is different over land and sea owing to the different strength and formation of atmospheric stable stratification. The relationship between the air–sea temperature difference and the turbulent heat transfer over sea is dominated by large air temperature variations compared to the slowly varying SST. Physically, Cd(z) consists of the surface skin drag and the turbulence drag between z and the surface; the increase of the latter with decreasing V leads to the minimum Cd(z), which is observed, but not limited to, over sea.

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2

Brandt, A., G. Geernaert, A. I. Weinstein, and J. Dugan. "Submesoscale air-sea interactions studied." Eos, Transactions American Geophysical Union 74, no. 11 (March 16, 1993): 122–23. http://dx.doi.org/10.1029/93eo00089.

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3

Dietrich, Dennis D. "Strong interactions in air showers." Journal of Cosmology and Astroparticle Physics 2015, no. 03 (March 2, 2015): 002. http://dx.doi.org/10.1088/1475-7516/2015/03/002.

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4

King, Jack R. C. "Air-gun bubble-ghost interactions." GEOPHYSICS 80, no. 6 (November 2015): T223—T234. http://dx.doi.org/10.1190/geo2015-0143.1.

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5

Pierson, William E. "System Interactions of Air Pollutants." Otolaryngology–Head and Neck Surgery 106, no. 6 (June 1992): 733–35. http://dx.doi.org/10.1177/019459989210600619.

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6

Bomberg, Mark. "Heat, air and moisture interactions." Frontiers of Architectural Research 2, no. 1 (March 2013): 116–19. http://dx.doi.org/10.1016/j.foar.2013.01.001.

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7

PURVIS, R., and F. T. SMITH. "Air-water interactions near droplet impact." European Journal of Applied Mathematics 15, no. 6 (December 2004): 853–71. http://dx.doi.org/10.1017/s0956792504005674.

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8

Engel, Ralph. "Hadronic interactions and extensive air showers." Journal of Physics: Conference Series 47 (October 1, 2006): 213–21. http://dx.doi.org/10.1088/1742-6596/47/1/026.

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9

Domine, F. "Air-Snow Interactions and Atmospheric Chemistry." Science 297, no. 5586 (August 30, 2002): 1506–10. http://dx.doi.org/10.1126/science.1074610.

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10

Allen, Jeff, Antonella Castellina, Ralph Engel, Katsuaki Kasahara, Stanislav Knurenko, Tanguy Pierog, Artem Sabourov, et al. "Air shower simulation and hadronic interactions." EPJ Web of Conferences 53 (2013): 01007. http://dx.doi.org/10.1051/epjconf/20135301007.

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11

Kendi Kohara, A., Erasmo Ferreira, and Takeshi Kodama. "pp interactions in extended air showers." EPJ Web of Conferences 99 (2015): 10002. http://dx.doi.org/10.1051/epjconf/20159910002.

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12

Xie, Lian, Bin Liu, John Morrison, Huiwang Gao, and Jianhong Wang. "Air-Sea Interactions and Marine Meteorology." Advances in Meteorology 2013 (2013): 1–3. http://dx.doi.org/10.1155/2013/162475.

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13

London, S. J. "Gene-Air Pollution Interactions in Asthma." Proceedings of the American Thoracic Society 4, no. 3 (July 1, 2007): 217–20. http://dx.doi.org/10.1513/pats.200701-031aw.

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14

Haider, M., M. Kundi, E. Groll-Knapp, and M. Koller. "Interactions between noise and air pollution." Environment International 16, no. 4-6 (January 1990): 593–601. http://dx.doi.org/10.1016/0160-4120(90)90030-a.

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15

Barratt, R. S. "A case of air pollutant interactions." International Journal of Environmental Studies 24, no. 1 (March 1985): 13–17. http://dx.doi.org/10.1080/00207238508710172.

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16

Muftu, Sinan. "W3 Mechanics of Thin, Flexible, Translating Media and Their Interactions with Surrounding Air." Proceedings of the Conference on Information, Intelligence and Precision Equipment : IIP 2005 (2005): 15–20. http://dx.doi.org/10.1299/jsmeiip.2005.15.

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17

Primault, B. "Air pollution and forests: Interactions between air contaminants and forest ecosystems." Agricultural and Forest Meteorology 60, no. 3-4 (August 1992): 298–300. http://dx.doi.org/10.1016/0168-1923(92)90046-7.

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18

Prado, Raul R. "Tests of hadronic interactions with measurements by Pierre Auger Observatory." EPJ Web of Conferences 208 (2019): 08003. http://dx.doi.org/10.1051/epjconf/201920808003.

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The hybrid design of the Pierre Auger Observatory allows for the measurement of a number of properties of extensive air showers initiated by ultra-high energy cosmic rays. By comparing these measurements to predictions from air shower simulations, it is possible to both infer the cosmic ray mass composition and test hadronic interactions beyond the energies reached by accelerators. In this paper, we will present a compilation of results of air shower measurements by the Pierre Auger Observatory which are sensitive to the properties of hadronic interactions and can be used to constrain the hadronic interaction models. The inconsistencies found between the interpretation of different observables with regard to primary composition and between their measurements and simulations show that none of the currently used hadronic interaction models can provide a proper description of air showers and, in particular, of the muon production.

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19

Daubenmire, Joseph, and Peter Kakela. "GREAT LAKES SHIPPING AND CLEAN AIR: INTERACTIONS." Impact Assessment 15, no. 3 (September 1997): 273–94. http://dx.doi.org/10.1080/07349165.1997.9726139.

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20

Sui, C.-H., X. Li, K.-M. Lau, and D. Adamec. "Multiscale Air–Sea Interactions during TOGA COARE." Monthly Weather Review 125, no. 4 (April 1997): 448–62. http://dx.doi.org/10.1175/1520-0493(1997)125<0448:masidt>2.0.co;2.

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21

Lukefahr, H. G. "Magnetic dipole interactions on an air track." American Journal of Physics 60, no. 12 (December 1992): 1134–36. http://dx.doi.org/10.1119/1.16961.

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22

Hain, F. P. "Interactions of insects, trees and air pollutants." Tree Physiology 3, no. 1 (March 1, 1987): 93–102. http://dx.doi.org/10.1093/treephys/3.1.93.

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23

Long, Zhenxia, and Will Perrie. "Air-sea interactions during an Arctic storm." Journal of Geophysical Research: Atmospheres 117, no. D15 (August 4, 2012): n/a. http://dx.doi.org/10.1029/2011jd016985.

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24

Bomberg, Mark, and William Brown. "Building Envelope: Heat, Air and Moisture Interactions." Journal of Thermal Insulation and Building Envelopes 16, no. 4 (April 1993): 306–11. http://dx.doi.org/10.1177/109719639301600402.

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25

Bailey, R. C., and P. B. Garces. "On the theory of air‐gun bubble interactions." GEOPHYSICS 53, no. 2 (February 1988): 192–200. http://dx.doi.org/10.1190/1.1442454.

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Calculation of the seismic signatures of marine air‐gun arrays often requires that the interactions among the bubbles from air guns be taken into account. The standard method of doing this is to use the Giles‐Johnston approximation in which a time‐dependent effective ambient pressure is calculated for each bubble as the sum of the true ambient pressure and the local pressure signals of all the other bubbles in the array. These effects of interaction have a relative importance in the dynamics proportional to (R/D), where R and D are the typical bubble radius and interbubble separation, respectively. To ensure that current methods of calculating signatures are accurate, it is necessary to know how good this approximation is. This paper shows that there are no interaction terms in the full dynamical equations proportional to [Formula: see text] or [Formula: see text], and that the errors of the Giles‐Johnston approximation are only of order [Formula: see text]. The Giles‐Johnston approximation is therefore justified even for fairly accurate signature calculations for noncoalescing bubbles. The analysis here also shows how to incorporate bubble motions and deformations into the dynamical equations, so that the errors can be reduced to order [Formula: see text] if desired.

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26

Varvayanni, M., E. Davakis, and N. Catsaros. "Air and vegetated ground interactions in air quality diagnosis for emergency response." Journal of Atmospheric and Solar-Terrestrial Physics 64, no. 4 (March 2002): 427–42. http://dx.doi.org/10.1016/s1364-6826(01)00117-1.

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27

Makmool, U., S. Jugjai, and S. Tia. "Visualization of Multiple Flame Interactions: Appearance Structure and Combustion of LPG-Air Premixed Laminar Flames." Journal of Clean Energy Technologies 3, no. 3 (2015): 196–201. http://dx.doi.org/10.7763/jocet.2015.v3.194.

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28

KAKEHI, Yasuaki. "Air on Air: A Participatory Installation with Interactions Using Air to Connect Online and Onsite Exhibitions." Journal of The Institute of Electrical Engineers of Japan 141, no. 7 (July 1, 2021): 403–6. http://dx.doi.org/10.1541/ieejjournal.141.403.

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29

Atlas, R., S. C. Bloom, R. N. Hoffman, J. V. Ardizzone, and G. Brin. "Space-based surface wind vectors to aid understanding of air-sea interactions." Eos, Transactions American Geophysical Union 72, no. 18 (1991): 201. http://dx.doi.org/10.1029/90eo00150.

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30

Adams, Robert B., and D. Brian Landrum. "Laser-Air Interactions in an Internal Supersonic Flowpath." Journal of Propulsion and Power 18, no. 4 (July 2002): 961–63. http://dx.doi.org/10.2514/2.6023.

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31

Senthilkumar, G. "Effect of Spillway Materials in Air-Water Interactions." Applied Mechanics and Materials 766-767 (June 2015): 494–98. http://dx.doi.org/10.4028/www.scientific.net/amm.766-767.494.

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The spillway system allows stabilization of the water free level and avoids variation in free level of water along the flow passage as a function of flow rate. The main problem in the spillway is the profiling of weir crest. The criteria that need to be satisfied are there should be no flow separation from the crest and there should be uniform circumferential flow to avoid flow asymmetry in the flow passage. Separation of flow leads to large impact velocity of the falling water, which would lead to the large-scale entrainment of air in water. This paper describes the effect of spillway materials by coating over the weir and changing the profile on air entrainment characteristics in the downstream.

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32

Rodrı́guez Patino, Juan M., M. Rosario Rodrı́guez Niño, and Cecilio Carrera Sánchez. "Protein–emulsifier interactions at the air–water interface." Current Opinion in Colloid & Interface Science 8, no. 4-5 (November 2003): 387–95. http://dx.doi.org/10.1016/s1359-0294(03)00095-5.

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33

Tkachenko, Ekaterina Y., and Sergey G. Kozachkov. "Possible contribution of triboelectricity to snow - air interactions." Environmental Chemistry 9, no. 2 (2012): 109. http://dx.doi.org/10.1071/en10074.

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Environmental contextPolar near-surface snow can act as a chemical reactor that alters the composition and chemistry of snow and the overlying air. Although the mechanisms and driving forces of these reactions have long been debated, triboelectrification (production of electrostatic charges by friction) of snow by wind has not yet been considered as a factor. It is proposed that in polar regions, triboelectrification could significantly influence the composition and chemistry of snow. AbstractReactions that proceed in polar snow cover may significantly affect the chemistry of the overlying atmosphere, but mechanisms and driving forces of these reactions are still under discussion. The proposed hypothesis attempts to explain some experimental data that cannot be fully understood (e.g. the effect of wind on OH radicals, ozone and persistent organic pollutants levels) by taking into account the influence of electrical phenomena on the snow surface. We assumed that a combination of such factors as low humidity, high wind speed and low temperatures makes the influence of triboelectrification of snow significant for polar areas, where purity and the depth of snow cover prevent fast charge dissipation. The major points of the hypothesis are: (1) when the electric field reaches a value sufficient for the onset of corona discharge, various free radical processes are initiated resulting in changes in the concentrations of ozone, OH radical, nitrate, etc., and the decomposition of pollutant molecules; (2) the high electric field can stimulate transport of ions (such as bromide and nitrate) from the condensed phase to the gas phase; and (3) the ageing of charged snow can increase its electrical potential.

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34

Lad, Mitaben D., Fabrice Birembaut, Richard A. Frazier, and Rebecca J. Green. "Protein–lipid interactions at the air/water interface." Physical Chemistry Chemical Physics 7, no. 19 (2005): 3478. http://dx.doi.org/10.1039/b506558p.

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35

Pierog, Tanguy. "Open issues in hadronic interactions for air showers." EPJ Web of Conferences 145 (2017): 18002. http://dx.doi.org/10.1051/epjconf/201614518002.

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36

Rennenberg, Heinz, Cornelia Herschbach, and Andrea Polle. "Consequences of Air Pollution on Shoot-Root Interactions." Journal of Plant Physiology 148, no. 3-4 (January 1996): 296–301. http://dx.doi.org/10.1016/s0176-1617(96)80256-2.

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37

Kounalakis, M. E., J. P. Gore, and G. M. Faeth. "Turbulence/radiation interactions in nonpremixed hydrogen/air flames." Symposium (International) on Combustion 22, no. 1 (January 1989): 1281–90. http://dx.doi.org/10.1016/s0082-0784(89)80139-0.

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38

Junghans, Ann, Chlóe Champagne, Philippe Cayot, Camille Loupiac, and Ingo Köper. "Protein−Lipid Interactions at the Air−Water Interface." Langmuir 26, no. 14 (July 20, 2010): 12049–53. http://dx.doi.org/10.1021/la100036v.

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39

Pierog, Tanguy. "Open issues in hadronic interactions for air showers." EPJ Web of Conferences 145 (2017): 18002. http://dx.doi.org/10.1051/epjconf/201714518002.

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40

Moss, Brian. "Mirror Lake: interactions among air, land and water." Freshwater Biology 55, no. 12 (November 5, 2010): 2654–55. http://dx.doi.org/10.1111/j.1365-2427.2010.02444.x.

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41

Ranka, Jinendra K., and Robert S. Windeler. "Nonlinear Interactions in Air-Silica Microstructure Optical Fibers." Optics and Photonics News 11, no. 8 (August 1, 2000): 20. http://dx.doi.org/10.1364/opn.11.8.000020.

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42

Park, Jong Min, Kyung Hwan Shin, Jung-in Kim, So-Yeon Park, Seung Hyuck Jeon, Noorie Choi, Jin Ho Kim, and Hong-Gyun Wu. "Air–electron stream interactions during magnetic resonance IGRT." Strahlentherapie und Onkologie 194, no. 1 (September 15, 2017): 50–59. http://dx.doi.org/10.1007/s00066-017-1212-z.

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43

Taylor, D. J. F., R. K. Thomas, and J. Penfold. "Polymer/surfactant interactions at the air/water interface." Advances in Colloid and Interface Science 132, no. 2 (April 2007): 69–110. http://dx.doi.org/10.1016/j.cis.2007.01.002.

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44

Jedelsky, Jan, Milan Maly, Noé Pinto del Corral, Graham Wigley, Lada Janackova, and Miroslav Jicha. "Air–liquid interactions in a pressure-swirl spray." International Journal of Heat and Mass Transfer 121 (June 2018): 788–804. http://dx.doi.org/10.1016/j.ijheatmasstransfer.2018.01.003.

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45

Shukla, J. "Air-sea-land interactions: Global and regional habitability." Origins of Life and Evolution of the Biosphere 15, no. 4 (December 1985): 353–63. http://dx.doi.org/10.1007/bf01808179.

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46

Nelson, Jill, Ruoying He, John C. Warner, and John Bane. "Air–sea interactions during strong winter extratropical storms." Ocean Dynamics 64, no. 9 (July 30, 2014): 1233–46. http://dx.doi.org/10.1007/s10236-014-0745-2.

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47

Pryke, C., and L. Voyvodic. "Some effects of first proton-air interactions on development of giant air showers." Nuclear Physics B - Proceedings Supplements 75, no. 1-2 (March 1999): 365–67. http://dx.doi.org/10.1016/s0920-5632(99)00293-5.

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48

Lovett, Gary M. "Air Pollution and Forests. Interactions Between Air Contaminants and Forest Ecosystems.William H. Smith." Quarterly Review of Biology 66, no. 1 (March 1991): 101. http://dx.doi.org/10.1086/417108.

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49

Liou, Yuei-An, Ji-Chyun Liu, Chung-Chih Liu, Chun-Hsu Chen, Kim-Anh Nguyen, and James P. Terry. "Consecutive Dual-Vortex Interactions between Quadruple Typhoons Noru, Kulap, Nesat and Haitang during the 2017 North Pacific Typhoon Season." Remote Sensing 11, no. 16 (August 7, 2019): 1843. http://dx.doi.org/10.3390/rs11161843.

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This study utilizes remote sensing imagery, a differential averaging technique and empirical formulas (the ‘Liou–Liu formulas’) to investigate three consecutive sets of dual-vortex interactions between four cyclonic events and their neighboring environmental air flows in the Northwest Pacific Ocean during the 2017 typhoon season. The investigation thereby deepens the current understanding of interactions involving multiple simultaneous/sequential cyclone systems. Triple interactions between Noru–Kulap–Nesat and Noru–Nesat–Haitung were analyzed using geosynchronous satellite infrared (IR1) and IR3 water vapor (WV) images. The differential averaging technique based on the normalized difference convection index (NDCI) operator and filter depicted differences and generated a new set of clarified NDCI images. During the first set of dual-vortex interactions, Typhoon Noru experienced an increase in intensity and a U-turn in its direction after being influenced by adjacent cooler air masses and air flows. Noru’s track change led to Fujiwhara-type rotation with Tropical Storm Kulap approaching from the opposite direction. Kulap weakened and merged with Noru, which tracked in a counter-clockwise loop. Thereafter, in spite of a distance of 2000–2500 km separating Typhoon Noru and newly-formed Typhoon Nesat, the influence of middle air flows and jet flows caused an ‘indirect interaction’ between these typhoons. Evidence of this second interaction includes the intensification of both typhoons and changing track directions. The third interaction occurred subsequently between Tropical Storm Haitang and Typhoon Nesat. Due to their relatively close proximity, a typical Fujiwhara effect was observed when the two systems began orbiting cyclonically. The generalized Liou–Liu formulas for calculating threshold distances between typhoons successfully validated and quantified the trilogy of interaction events. Through the unusual and combined effects of the consecutive dual-vortex interactions, Typhoon Noru survived 22 days from 19 July to 9 August 2017 and migrated approximately 6900 km. Typhoon Noru consequently became the third longest-lasting typhoon on record for the Northwest Pacific Ocean. A comparison is made with long-lived Typhoon Rita in 1972, which also experienced similar multiple Fujiwhara interactions with three other concurrent typhoons.

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50

Bourikas, Leonidas, Stephanie Gauthier, Nicholas Khor Song En, and Peiyao Xiong. "Effect of Thermal, Acoustic and Air Quality Perception Interactions on the Comfort and Satisfaction of People in Office Buildings." Energies 14, no. 2 (January 9, 2021): 333. http://dx.doi.org/10.3390/en14020333.

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Current research on human comfort has identified a gap in the investigation of multi-domain perception interactions. There is a lack of understanding the interrelationships of different physio-socio-psychological factors and the manifestation of their contextual interactions into cross-modal comfort perception. In that direction, this study used data from a post occupancy evaluation survey (n = 26), two longitudinal comfort studies (n = 1079 and n = 52) and concurrent measurements of indoor environmental quality factors (one building) to assess the effect of thermal, acoustic and air quality perception interactions on comfort and satisfaction of occupants in three mixed-mode university office buildings. The study concluded that thermal sensation (TSV) is associated with both air quality (ASV) and noise perception (NSV). The crossed effect of the interaction of air quality and noise perception on thermal sensation was not evident. The key finding was the significant correlation of operative temperature (Top) with TSV as expected, but also with noise perception and overall acoustic comfort. Regarding the crossed main effects on thermal sensation, a significant effect was found for the interactions of (1) Top and (2) sound pressure levels (SPL30) with air quality perception respectively. Most importantly, this study has highlighted the importance of air quality perception in achieving occupants’ comfort and satisfaction with office space.

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