Proposal of a new autocorrelation function in low wind speed conditions

被引：7

作者：

Moor, L. P. ^{[1
,2
]}

Degrazia, G. A. ^{[3
]}

Stefanello, M. B. ^{[3
]}

Mortarini, L. ^{[4
]}

Acevedo, O. C. ^{[3
]}

Maldaner, S. ^{[5
]}

Szinvelski, C. R. P. ^{[6
]}

Roberti, D. R. ^{[3
]}

Buligon, L. ^{[6
]}

Anfossi, D. ^{[4
]}

机构：

[1] Univ Fed Santa Maria, Programa Posgrad Fis, Santa Maria, RS, Brazil

[2] IF Farroupilha, Coordenacao Geral Ensino, Jaguari, RS, Brazil

[3] Univ Fed Santa Maria, Dept Fis, Santa Maria, RS, Brazil

[4] Italian Natl Res Council CNR, Unit Turin, ISAC, Turin, Italy

[5] Univ Fed Santa Maria, Coordenadoria Acad, Santa Maria, RS, Brazil

[6] Univ Fed Santa Maria, Dept Matemat, Santa Maria, RS, Brazil

来源：

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS | 2015年 / 438卷

关键词：

Meandering; Autocorrelation function; Low wind speed; Fit curves; DISPERSION;

D O I：

10.1016/j.physa.2015.06.048

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

In this study a new mathematical expression to describe the observed meandering auto-correlation functions in low-wind speed is proposed. The analysis utilizes a large number of best fit curves to show that the proposed theoretical function well reproduces the general form and the negative lobes characterizing the experimental meandering autocorrelation function. Further, the good agreement of the measured autocorrelation curves with the proposed algebraic autocorrelation function allows to calculate the magnitudes of the meandering period and of the loop parameter. The results agree with the values presented and discussed in the literature. Therefore, the new formulation describing experimental meandering autocorrelation functions can be used to simulate the dispersion of contaminant during low wind episodes and to determine relevant meandering parameters. (C) 2015 Elsevier B.V. All rights reserved.

引用

页码：286 / 292

页数：7

共 16 条

[1] Inferring nocturnal surface fluxes from vertical profiles of scalars in an Amazon pasture [J].

Acevedo, OC ;

Moraes, OLL ;

Da Silva, R ;

Fitzjarrald, DR ;

Sakai, RK ;

Staebler, RM ;

Czikowsky, MJ .

GLOBAL CHANGE BIOLOGY, 2004, 10 (05) :886-894

[2] Turbulent statistical characteristics associated to the north wind phenomenon in southern Brazil with application to turbulent diffusion [J].

Andres Arbage, Maria Cristina ;

Degrazia, Gervasio Annes ;

Welter, Guilherme Sausen ;

Roberti, Debora Regina ;

Acevedo, Otavio Costa ;

Leal de Moraes, Osvaldo Luiz ;

Ferraz, Simone Teleginski ;

Timm, Andrea Ucker ;

Moreira, Virnei Silva .

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2008, 387 (16-17) :4376-4386

[3] Tracer dispersion simulation in low wind speed conditions with a new 2D Langevin equation system [J].

Anfossi, D. ;

Alessandrini, S. ;

Castelli, S. Trini ;

Ferrero, E. ;

Oettl, D. ;

Degrazia, G. .

ATMOSPHERIC ENVIRONMENT, 2006, 40 (37) :7234-7245

[4] An analysis of sonic anemometer observations in low wind speed conditions [J].

Anfossi, D ;

Oettl, D ;

Degrazia, G ;

Goulart, A .

BOUNDARY-LAYER METEOROLOGY, 2005, 114 (01) :179-203

[5] Turbulence parameterisation for PBL dispersion models in all stability conditions [J].

Degrazia, GA ;

Anfossi, D ;

Carvalho, JC ;

Mangia, C ;

Tirabassi, T ;

Velho, HFC .

ATMOSPHERIC ENVIRONMENT, 2000, 34 (21) :3575-3583

[6]

FRENKIEL FN, 1953, ADV APPL MECH, V3, P61

[7]

HANNA SR, 1983, J CLIM APPL METEOROL, V22, P1424, DOI 10.1175/1520-0450(1983)022<1424:LTIAPM>2.0.CO

[8]

[9]

Moreira V.S., 2013, ISRN ATMOS SCI, P1

[10] Proposal of an empirical velocity spectrum formula in low-wind speed conditions [J].

Mortarini, L. ;

Anfossi, D. .

QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2015, 141 (686) :85-97

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