New experimental techniques for validation of marine discharge models

被引:19
|
作者
Roberts, PJW [1 ]
Tian, XD [1 ]
机构
[1] Georgia Inst Technol, Sch Civil & Environm Engn, Atlanta, GA 30332 USA
关键词
mixing zones; mathematical models; dilution; dispersion; ocean outfalls;
D O I
10.1016/j.envsoft.2003.08.005
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
A new three-dimensional Laser-Induced Fluorescence (3DLIF) system was applied to study the mixing of a produced water outfall discharge typical of that used in offshore production operations. The outfall consists of a pipeline terminating in a multiport diffuser discharging into water about 12 m deep. Scaled laboratory experiments were done using conditions based on measured oceanographic conditions near the site. The current was perpendicular to the diffuser, and the receiving water was linearly stratified. The model was undistorted and the jet densimetric Froude number was the same as in the prototype. This scaling results in correct modeling of the source volume, momentum, and buoyancy fluxes, and equality of other line source dimensionless parameters. The experiments were conducted in a constant refractive-index environment which enabled detailed three-dimensional concentration measurements in the near field mixing zone to be obtained despite the density variations in the flow field. The mixing processes were found to be complex. The jets discharging upstream were quickly swept downstream, where they began merging with the downstream jets. Lateral mixing caused the concentration profiles to quickly become laterally homogeneous. Initially, dilution increased rapidly with distance from the diffuser, but farther away the rate of increase of dilution slowed as the turbulence became affected by the ambient density stratification. The dilution eventually becomes approximately constant; the location where this occurs defines the end of the near field, where mixing is primarily due to turbulence and other processes induced by the discharge itself. The end of the near field is marked by collapse of the self-induced turbulence under the influence of the ambient stratification. The results were compared to predictions of commonly used mathematical models of marine mixing zones: RSB, UM3, and CORMIX. The best predictions of the near field dilution and the length of the near field were by RSB. UM3 gave good predictions of the near field dilution, but CORMIX overestimated the dilution and rise height substantially. It is believed that this overestimation by CORMIX is due to its approximation of the diffuser as a row of vertically discharging jets of equivalent total momentum flux; this is clearly a poor approximation to the diffuser conditions modeled here. 3DLIF is an exciting new technique that can give unprecedented insight into the complex hydrodynamics and processes occurring in buoyancy-modified mixing zones and to improvement of near field mathematical models. Experiments on other discharge configurations are continuing. (C) 2003 Elsevier Ltd. All rights reserved.
引用
收藏
页码:691 / 699
页数:9
相关论文
共 50 条
  • [31] NEW EXPERIMENTAL-TECHNIQUES
    YPSILANTIS, T
    JOURNAL DE PHYSIQUE, 1982, 43 (NC3): : 223 - 228
  • [32] Generative Data Models for Validation and Evaluation of Visualization Techniques
    Schulz, Christoph
    Nocaj, Arlind
    El-Assady, Mennatallah
    Frey, Steffen
    Hlawatsch, Marcel
    Hund, Michael
    Karch, Grzegorz
    Netzel, Rudolf
    Schaetzle, Christin
    Butt, Miriam
    Keim, Daniel A.
    Ertl, Thomas
    Brandes, Ulrik
    Weiskopf, Daniel
    BEYOND TIME AND ERRORS: NOVEL EVALUATION METHODS FOR VISUALIZATION, BELIV 2016, 2016, : 112 - 124
  • [33] Statistical Techniques for Validation of Simulation and Analytic Stochastic Models
    Nechval, Nicholas
    Nechval, Konstantin
    Danovich, Vadim
    Ribakova, Natalija
    ANALYTICAL AND STOCHASTIC MODELLING TECHNIQUES AND APPLICATIONS, 2014, 8499 : 155 - 169
  • [34] FIELD TECHNIQUES FOR VALIDATION OF BACTERIAL DECAY AND DISPERSION MODELS
    ONEILL, JG
    HYDRAULIC AND ENVIRONMENTAL MODELLING OF COASTAL, ESTUARINE AND RIVER WATERS, 1989, : 625 - 636
  • [35] VALIDATION OF SIMULATION MODELS USING STATISTICAL TECHNIQUES.
    Griner, Gary M.
    Mango, John A.
    Pastrick, Harold L.
    1978, : 54 - 59
  • [36] Integrating Validation Techniques for Process-based Models
    Speck, Andreas
    Witt, Soeren
    Feja, Sven
    Feja, Soeren
    Pulvermueller, Elke
    ENASE: PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON EVALUATION OF NOVEL APPROACHES TO SOFTWARE ENGINEERING, 2013, : 246 - 253
  • [37] Experimental validation of refined models of composite plates
    Karama, M
    Mistou, S
    SCIENCE AND ENGINEERING OF COMPOSITE MATERIALS, 2004, 11 (01) : 1 - 7
  • [38] EVALUATION OF NUMERICAL POUNDING MODELS WITH EXPERIMENTAL VALIDATION
    Khatiwada, S.
    Chouw, N.
    Butterworth, J. W.
    BULLETIN OF THE NEW ZEALAND SOCIETY FOR EARTHQUAKE ENGINEERING, 2013, 46 (03): : 117 - 130
  • [39] Experimental validation for quantitative protein network models
    Nishizuka, Satoshi
    Spurrier, Brett
    CURRENT OPINION IN BIOTECHNOLOGY, 2008, 19 (01) : 41 - 49
  • [40] Experimental validation of analytical MIMO channel models
    Ove, E. Bonek
    ELEKTROTECHNIK UND INFORMATIONSTECHNIK, 2005, 122 (06): : 196 - 205