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Mixing in rivers under complex conditions
L Gond, E Mignot, J Le Coz, L Kateb
To cite this version:
L Gond, E Mignot, J Le Coz, L Kateb. Mixing in rivers under complex conditions. Journée du GIS HED2 (Groupement d’Intérêt Scientifique “ Hydraulique pour l’Environnement et le Développement Durable ”), Société Hydrotechnique de France (SHF) / GIS-HED, Nov 2019, Marne la vallée, France. �cea-02972469�
Mixing in rivers
under complex conditions
L. Gond
123, E. Mignot
1, J. Le Coz
2, L. Kateb
31
LMFA - INSA Lyon, France
2
Irstea, Lyon, France
3
CEA, Cadarache, France
Mixing in rivers
under complex conditions
1/ Goal
2/ Theoretical aspects
1. Goal
C > toxicity levels Unpolluted area Polluted area = Mixing zone Evaluate the variability of the transverse mixing coefficient in inhomogenous riversSimulation of a pollutant release in river
2. Theoretical aspects
Advection-diffusion in turbulent regime
• D = molecular diffusivity • ε𝑡𝑖 = turbulent diffusivity
• ഥ𝑢𝑖 = Time-averaged velocity vector • 𝑐= Concentration
• overbar = time-averaged • x= space, t=time, i=1,2,3
𝜕𝑐
𝜕𝑡
+ ഥ
𝑢
𝑖
𝜕𝑐
𝜕𝑥
𝑖= 𝐷
𝜕²𝑐
𝜕𝑥
𝑖2+
𝜕
ε
𝑡𝑖 𝜕𝑐 𝜕𝑥𝑖𝜕𝑥
𝑖Scalar dispersion in rivers is governed by: 1/ molecular diffusion
2/ turbulent diffusion
Simplification for a
1D flow
Hypotheses =* Turbulentregime D<< εt
* Uniform 1D horizontal flow depth averaging: 𝑼𝒙 = 𝒖𝒅 (𝒛) and Uz=Uy=0 * Vertical mixing >> transverse mixing vertical dispersion neglected
* Considering the averaged transverse mixing coefficient Ez
-> 𝑢𝑑 = local streamwise velocity – h = local depth -> 𝑐𝑑 = depth average concentration
-> z = transverse position
-> ε𝑧= transverse mixing coefficient 𝜕(ℎ𝑐𝑑) 𝜕𝑡 + 𝜕(𝑢𝑑ℎ𝑐𝑑) 𝜕𝑥 = 𝜕 𝜕𝑧 (ε𝑧ℎ 𝜕𝑐𝑑 𝜕𝑧 )
Yotsukura & Cobb (1972)
Simplified diffusion equation
𝑞 = 0𝑧 𝑢𝑑(𝛿)ℎ(𝛿)𝑑𝛿 = cumulative discharge
Streamtube model equation
1 𝑢𝑑 𝜕𝑐𝑑 𝜕𝑡 + 𝜕𝑐𝑑 𝜕𝑥 = 𝜕 𝜕𝑞 (ε𝑧𝑢𝑑ℎ 2 𝜕𝑐𝑑 𝜕𝑞 )
z
0
x
𝑢
𝑑 1 𝑢𝑑 𝜕𝑐𝑑 𝜕𝑡 + 𝜕𝑐𝑑 𝜕𝑥 ≈ 𝐸𝑧𝜓𝑈𝐻 2 𝜕 2 ҧ𝑐 𝑑 𝜕𝑞2 𝜓𝑈𝐻2 = 1 𝑄න 𝑄 𝑢𝑑(𝑞)ℎ(𝑞)2𝑑𝑞-> Ez= averaged transverse mixing coefficient 1 𝑢𝑑 𝜕𝑐𝑑 𝜕𝑡 + 𝜕𝑐𝑑 𝜕𝑥 = 𝜕 𝜕𝑞 (ε𝑧𝑢𝑑ℎ 2 𝜕𝑐𝑑 𝜕𝑞 )
Streamtube model equation
Constant coefficient equation
B
q
Q
𝜃 𝑥, 𝑞 = න 0 ∞ 𝐶 𝑥, 𝑞, 𝑡 𝑑𝑡 Local dosage : 𝜕𝜃 𝜕𝑥 = 𝐸𝑧𝜓𝑈𝐻 2 𝜕 2𝜃 𝜕𝑞2
Instantaneous injection at q=q
0
1 𝑢𝑑 𝜕𝑐𝑑 𝜕𝑡 + 𝜕𝑐𝑑 𝜕𝑥 ≈ 𝐸𝑧𝜓𝑈𝐻 2 𝜕 2 ҧ𝑐 𝑑 𝜕𝑞2 Time-dependent equation : න 𝑑𝑡 𝑐𝑑 𝑥, 𝑞, 𝑡 = 0 = 𝑐𝑑 𝑥, 𝑞, 𝑡 = +∞ = 0 x 0 Q q C ( kg /m3) time (s) C ( kg /m3) time (s) General solution : 𝜃𝑢 𝑥, 𝑞 = 𝑀 4𝜋𝐸𝑧𝜓𝑈𝐻2𝑥𝑒𝑥𝑝 𝑞2 4𝐸𝑧𝜓𝑈𝐻2𝑥Solution with mirror : θ 𝑥, 𝑦 = 𝜃𝑢 𝑥, 𝑞 + 𝑞0 + 𝜃𝑢 𝑥, 𝑞 − 𝑞0 + σ𝑛=1𝑁 𝜃𝑢 𝑥, 2𝑛Q ± 𝑞 ± 𝑞0 + 𝜃𝑢 𝑥, 2𝑛Q ± 𝑞 ± 𝑞0
(Seo & al. (2016))
(Beltaos, 1980)
3.1 Field procedure : Application to the Drac River
Step 1 : Determine segments to study
Segments studied must : • Have an easy access
• Have a homogenous geometry (roughness, width, depth, slope) • Be long enough (too short -> no mixing measurable)
Fluorescence probes :
- probes = Albillia GGNU-FL30 series 500 & 900 *6
- probes = TQ-tracer *2
Albillia
Calibration with several controled Rhodamine concentration + Temperature corrections y = 0.3138x + 0.3881 R² = 0.9999 0 20 40 60 80 100 120 140 0 100 200 300 400 500 mV ppb
Calibration Albillia probe
Concentration
V
ol
tag
e
Step 2 : Calibrate probes
Step 3 : Measure bathymetry + velocity field at each survey cross sections
ADCP Electronics
Battery
Video camera
ADCP (Acoustic Doppler Current Profiler)
ADCP installed on a River-Drone
Step 4 : Install sensors along 2 cross sections (near-bed)
Example of line of TQ-Tracer probes (EDF)
Step 5 : Sudden Rhodamine injection upstream
0 0.00001 0.00002 0.00003 0.00004 0.00005 0.00006 0.00007 0 200 400 600 800 1000 C ( kg/m 3 ) time (s) 0 200 400 600 800 1000 1200 0 200 400 600 800 1000 V ( V) time (s)
Step 6 : Measure C(t) on each probe, evaluate , =f(q)
Using Calibration + temperature correction 0 0.00001 0.00002 0.00003 0.00004 0.00005 0.00006 0.00007 0 100 200 300 400 500 600 700 800 900 C ( kg /m3)
Integrate to get: 𝜃 =
𝑡=0𝑡=∞𝑐𝑑𝑡
0 0.002 0.004 0.006 0.008 0.01 0 0.2 0.4 0.6 0.8 1 d os ag e (kg ,s /m 3)dosage Section 1 dosage Section 2
Voltage = f(time)
Aggregate all data
𝐸
𝑧2= 0.35 m²/s
𝐸
𝑧1= 0.11 m²/s
Impervious emerging bloc strongly increase
the transverse mixing coefficient
240m
40m
From injection to S1 : 𝐸
𝑧1= 0.11 m²/s
From
S1 to S2: 𝐸
𝑧2= 0.35 m²/s
𝑬𝒛𝟏 = 𝟎. 𝟏𝟏 m²/s 𝑬𝒛𝟐 = 𝟎. 𝟑𝟓 m²/s 𝜕𝜃 𝜕𝑥 = 𝐸𝑧𝜓𝑈𝐻 2 𝜕2𝜃 𝜕𝑞2Comparison of 𝐸
𝑧1
with literature data
𝑢∗ = 0.106 𝑚/𝑠 𝑄 = 15 𝑚3/𝑠 𝐵 = 24 𝑚 H = 0.6 𝑚 𝑈 = 0.95 𝑚/𝑠 𝐵 𝐻 = 40 𝑈/𝑢∗ = 9 =0.097𝐸
𝑧1𝐻𝑢 ∗
= 0.8
B/H = channel aspect ratio
= Darcy friction coefficient
𝐸
𝑧𝐻𝑢 ∗
= f(
B
H
, )
in rivers
from the literature
𝐸
𝑧𝐻𝑢 ∗
3.2 Application to the Durance river
Step 2 Step 3
La Saulce, 05110
18 transverse sections, 4 injection points :
100 m
N E
Channel with boulders
Deep and slow waters Boulders Shallow waters with rocks
Many different bed conditions on a small area :
Perspectives :
- Reproduce hydraulic conditions in laboratory (LMFA – INSA Lyon)
- Presentation of the results at RiverFlow 2020
Study of different flows with rough beds
Effect of roughness height on the mixing coefficient
References
Beltaos, S. (1980), Transverse mixing tests in natural streams. Journal of the Hydraulics Division, 106(10), 1607-1625.
Fischer, H.B, List, J.E., Koh, C.R., Imberger, J. (1979), Mixing in inland and coastal waters, Elsevier, New York
Gualtieri, C., Mucherino, C. (2007), Transverse turbulent diffusion in straight rectangular channels. 5thinternational symposium on environmental hydraulics
(ISEH 2007), Tempe, USA.
Rutherford, J.C. (1994), River mixing, Wiley, Chichester, U.K.
Yotsukura, N., Cobb, E. D., 1972. Transverse diffusion of solutes in natural streams. Geological Survey Professional Paper 582-C.
Il Won Seo, A.M.ASCE, Hwang Jeong Choi, Young Do Kim, and Eun Jin Han (2016), Analysis of Two-Dimensional Mixing in Natural Streams Based on Transient Tracer Tests