A laboratory investigation of open-channel dispersion processes for dissolved, suspended, and floating dispersants

Sayre, William W.; Chang, Feng Ming

doi:10.3133/pp433e

Cited by 81 publications

(61 citation statements)

References 23 publications

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“…We can point out that the experimental and theoretical studies were initiated by Taylor (1953) and Taylor (1954) [13][14], and were then somewhat expanded by Scheidegger (1954), Elder (1959), Parker (1961), Fischer (1967), Thackston and Krenkel (1967), Fischer (1968a), Fischer (1968b), Sayre (1968), Sayre and Chang (1968), Fischer (1969), and Sooky (1969) [16][17][18][19][20][21][22][23][24][25][26]. However, since technology was not yet well-developed at that time of these studies, they do not offer highly accurate measurements.…”

Section: Background Of the Literature Of Ldcmentioning

confidence: 99%

“…): There many current studies in this category. Some of these are, listed chronologically: Fischer (1967), Thackston and Krenkel (1967) [19][20] Nordin and Sabol (1974) [37][38], Day (1975), Fischer (1975) [39][40], Liu (1977) [42], Graf (1986) [45], Yu and Wenzhi (1989) [46], Al Naib and Sanders (1997) [49], Jobson (1997) [15], Koussis and RodriguezMirasol (1998), Seo II and Cheong (1998) [55][56], Strack and Fairbrother (1997) [53] 3) Canals (artificial/prismatic canal): In this category, we can mention Sayre (1968), Sayre and Chang (1968) [23][24], Sooky (1969) [26], Atesman (1970) [28], Fukooka and Sayre (1973) [35], Basha (1997) [50], Guymer (1998) [54], and Baek and Seo II (2008) [72]. …”

Section: Classification Of the Previous Workmentioning

confidence: 99%

“…Our classification is made according to: 1) the field of the research, 2) the flow conditions, 3) the modeling technique, 4) the tracer used, and 5) dimensions of longitudinal dispersion coefficient (LDC) (as given with their subclasses in Table 1). The works that propose any model or method can be ordered chronologically as Taylor (1953) , Taylor (1954) [13][14], Fischer (1968a), Fischer (1968b) [21][22], McQuivey and Keefer (1974) [37], Liu (1977) [42], Basha (1997) [50], Koussis and Rodriguez-Mirasol (1998), Seo II and Cheong (1998) [55][56] The works that report measurements, observations, or data sets can be presented chronologically as Taylor (1953), Taylor (1954) [13][14], Sayre and Chang (1968) [24], Goodfrey and Frederick (1970) [29], Yotsukura et al (1970) [27], Chang (1971) [33], Fukooka and Sayre (1973) [35], McQuivey and Keefer (1974), Nordin and Sabol (1974), Day (1975) [37][38][39], Chatwin (1980), Graf (1986) [44][45], Guymer and West (1992), …”

Section: Classification Of the Previous Workmentioning

confidence: 99%

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A Review of Proposed Techniques for Modeling Longitudinal Dispersion Coefficient in Natural Channels

Toprak

2016

JWRHE

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Abstract-The World is facing a global climate change, while the world's population continues to grow. Therefore, providing sufficient water has become increasingly difficult in the last few decades. Artificially providing fresh water requires complex technology and economic investment. This is almost impossible, especially in underdeveloped countries. Due to these issues, water scarcity and/or stress is expected to rise dramatically in many regions in the world in the near future. Furthermore, current fresh water resources are vulnerable to pollutants (nuclear, biological, physical, and chemical). Conservation of fresh water resources has therefore become a critical issue. As is well known, the main fresh water sources are rivers and natural streams. Convective longitudinal dispersion is the most effective parameter in such sources. The longitudinal dispersion coefficient represents the rate of pollution and it is mostly used in water pollution modeling studies. Hence, learning the longitudinal dispersion mechanism in natural channels is vitally important to control water pollution. This paper's main purpose is to present a significant review and criticism on the literature related to both the longitudinal dispersion mechanism and the modeling techniques proposed for determining longitudinal dispersion coefficient in natural channels.

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Section: Background Of the Literature Of Ldcmentioning

confidence: 99%

Section: Classification Of the Previous Workmentioning

confidence: 99%

Section: Classification Of the Previous Workmentioning

confidence: 99%

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A Review of Proposed Techniques for Modeling Longitudinal Dispersion Coefficient in Natural Channels

Toprak

2016

JWRHE

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“…Flume experiments by Sayre and Chang (1969) indicated that K x for floating dispersants was approximately the same as that for dissolved dispersants and could still be expressed in the form of βDu* (Shen and Yapa, 1988). β is an empirical coefficient and is determined according to the experimental results.…”

Section: Dispersion Of the Oil Slickmentioning

confidence: 99%

Mathematical simulation on the oil slick spreading and dispersion in nonuniform flow fields

Song

Liu

2011

Int. J. Environ. Sci. Technol.

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ABSTRACT:The viscous fluid boundary layer equations were adopted to characterize the velocity distribution across the vertical section of the oil slick on moving water. The velocity profile was found to be the combination of linear and parabolic distribution. A numerical model including spreading and dispersion was developed to describe the oil slick's early movement in the open and ice-covered water. The flume test was conducted to determine the dispersion coefficients (K x ) and the effects of velocity and wave height on the slick's dispersion were also investigated. In the open water, K x increased from 4.34 cm 2 /s to 20.08 cm 2 /s as the velocity changed from 3 cm/s to 12 cm/s. A coefficient β that characterized K x fluctuated at 1.5 when wave heights were between 20 mm and 70 mm. Under ice, the slick didn't move until the velocity exceeded 6 cm/s and K x increased from 2.69 cm 2 /s to 5.64 cm 2 /s as the velocity changed from 6 cm/s to 12 cm/s. β remained 0.4 when wave heights were between 20 mm and 60 mm. The model performed very well in predicting the slick's position and length during the gravitation-inertia phase for the two situations when relevant dispersion coefficients were input.

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“…As demonstrated by Sayre and Chang (12] available, and easier to solve numerically for determining the concentration field. These have prompted Fischer to introduce the stream tube concept [3], (11), (19], Yotsukara and Cobb (18] the cumulative discharge, Chang [2], Yotsukara and Sayre (20], further Somlyody (13] the orthogonal, curvilinear system of coordinates following the bend conditions.…”

Section: Introductionmentioning

confidence: 99%

An Approach to the Study of Transverse Mixing in Streams

Somlyódy

1982

Journal of Hydraulic Research

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FOREWORDThe mixing of pollutants in rivers, lakes, and reservoirs because of turbulence and spatial non-uniformities in the velocity field considerably influences the fate of these materials . Mixing is an important factor when controlling water quality independently , whether it be a question of the deoxygenation, thermal pollution, contamination by heavy metals , or eutrophication -issues that have been central research themes of the Resources and Environment Area at IIASA over the past few years. This article considers transverse mixing in rivers, a phenomenon of great importance for wide rivers. A new approach is presented and tested on the basis of a wide range of experiments, from laboratory flumes to large natural rivers such as the Danube. JANUSZ KINDLER Chairman Resources and Environment Area AN APPROACH TO THE STUDY OF TRANSVERSE MIXING IN STREAMS

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A laboratory investigation of open-channel dispersion processes for dissolved, suspended, and floating dispersants

Cited by 81 publications

References 23 publications

A Review of Proposed Techniques for Modeling Longitudinal Dispersion Coefficient in Natural Channels

A Review of Proposed Techniques for Modeling Longitudinal Dispersion Coefficient in Natural Channels

Mathematical simulation on the oil slick spreading and dispersion in nonuniform flow fields

An Approach to the Study of Transverse Mixing in Streams

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