Turbulence characteristics of surface boundary layer over the Kalpakkam tropical coastal station, India

Prasad, K. B. R. R. Hari; Srinivas, C. V.; Singh, Ankit; Naidu, C. V.; Baskaran, R.; Venkatraman, B.

doi:10.1007/s00703-018-0605-6

Cited by 15 publications

(9 citation statements)

References 49 publications

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“…1e-f )) and almost fall in line within the stability range from − 0.1 to 0.1 as noticed by Krishnan and Kunhikrishnan [14]. With instability, the w ∕u * increases and follow 1/3 power law as observed by previous studies [23,29]. The difference of present relationships from the relationships given in the literature is explaining the seasonal and site-specific characteristics of such relationships in the neutral region.…”

Section: Normalised Standard Deviation Of Wind Componentssupporting

confidence: 78%

“…Several studies reported the relationship of w ∕u * with ζ for various sites (e.g. [12,14,23,36] and it is found to be proportional to (1/3) power for unstable condition and to (1) power for stable conditions. Temperature statistics are supposed to vary above horizontally homogeneous surfaces, i.e.…”

Section: Introductionmentioning

confidence: 99%

“…Over the Indian region, only few studies exist, which explicitly takes into account of turbulence characteristics (e.g. [7,23,25,26,34,36,41,45]. However, studies of turbulence characteristics (standard deviations of velocity and temperature) are mainly focused for establishing relationships for unstable/stable stratification and modelling validations [16,17].…”

Section: Introductionmentioning

confidence: 99%

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Assessment of difference in the atmospheric surface layer turbulence characteristics during thunderstorm and clear weather days over a tropical station

Tyagi

Satyanarayana

2019

SN Appl. Sci.

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The present study analyses the atmospheric surface layer characteristics (non-dimensionalised standard deviation of temperature and wind) during days of thunderstorm (DT) and clear weather days (CWD) during the months of pre-monsoon for years 2007, 2009 and 2010 at a tropical station Kharagpur (22°30′N, 87 o 20′E), India using the data sets collected by a 50-m instrumented tower. The study proposes site-specific relationships for thermal and mechanical characteristics of turbulence concerning atmospheric stability during DT and CWD during the pre-monsoon season. Although the analysis has not considered the data during the thunderstorm events (removed due to quality check), the relationships are different in CWD and DT cases. It is observed that during unstable stratification of CWD, values are less dispersed compared to the unstable region of DT. The study also reveals differences for stable stratification of DT and CWD days; even the thunderstorms are occurring during an unstable regime. The turbulence intensity for wind obeys the 1/3 power law, whereas for the unstable (stable) region of the temperature the − 1/3 (− 1) slope exists.

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Section: Normalised Standard Deviation Of Wind Componentssupporting

confidence: 78%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Assessment of difference in the atmospheric surface layer turbulence characteristics during thunderstorm and clear weather days over a tropical station

Tyagi

Satyanarayana

2019

SN Appl. Sci.

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“…It was discovered that the lowest level for the turbulent intensity development as it passes the throat is achieved, when the convergent angle is at its smallest. The most moderate turbulent intensity development then causes the lowest particle friction to occur at the throat section since the narrow passage is smaller [46,47]. Therefore, it can be concluded that the smaller the convergent angle, the lower the turbulent intensity development along the centerline of the nozzle.…”

Section: Resultsmentioning

confidence: 99%

Optimizing nozzle convergent angle using central composite design on the particle velocity and acoustic power level for single-hose dry ice blasting nozzle

Mat

Asmuin

Basir

et al. 2020

J Therm Anal Calorim

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One of the important parameters in developing dry ice blasting nozzle is the high-speed dry ice pellets. However, many studies focus primarily only on its performance without considering the noise emission that comes from an operating nozzle. In this method, the central composite optimization tool has been used. The two-way mass momentum and energy exchange are successfully modeled using the two-way mass momentum model. As an attempt to theoretically verify the model accuracy, a comparison is conducted on the density, pressure, temperature, as well as Mach number ratios corresponding to various ratios of nozzle area. In return, the smallest value of the convergent angle results in the highest velocity of 516.75 m s −1 , as well as the highest level of the acoustic power level of 144.36 dB. Besides, one of the vital influencing factors on the emitted acoustic power level is the turbulence intensity, which can achieve a maximum of 1% intensity for an angle of 20° at the throat section. Besides, the same negative sensitivity of around − 0.99% is provided by the velocity and acoustic power level, which is highly responsive toward the convergent angle variation. Furthermore, the optimum nozzle convergent angle for the minimization of the acoustic power level and maximization of the velocity is 7.03°. The novelty of this research lies in the findings on the effective convergent angle of the dry ice blasting nozzle that accelerates the particle flow and minimizes the noise emission from the operating nozzle.

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“…Further, due to the empirical nature of these expressions, it is of interest to investigate the applicability of these parameterizations under different atmospheric and topographic conditions (Trini Castelli and Falabino, 2013;Trini Castelli et al, 2014). Various studies have pointed out that turbulent strength relationships depend on the underlying surface cover and local atmospheric conditions of the measurement site (Prasad et al, 2018). One can also expect the variation in the values of these parameters in different seasons and thus, it does not appear legitimate to apply same parameterization in different seasons without proper validation.…”

Section: Takedownmentioning

confidence: 99%

Development of observation-based parameterizations of standard deviations of wind velocity fluctuations over an Indian region

Srivastava

Sharan²,

Kumar³

2019

Theor Appl Climatol

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Turbulence characteristics of surface boundary layer over the Kalpakkam tropical coastal station, India

Cited by 15 publications

References 49 publications

Assessment of difference in the atmospheric surface layer turbulence characteristics during thunderstorm and clear weather days over a tropical station

Assessment of difference in the atmospheric surface layer turbulence characteristics during thunderstorm and clear weather days over a tropical station

Optimizing nozzle convergent angle using central composite design on the particle velocity and acoustic power level for single-hose dry ice blasting nozzle

Development of observation-based parameterizations of standard deviations of wind velocity fluctuations over an Indian region

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