J.M. Abril Department of Applied Physics (I); University of Seville (Spain) IAEA Regional Training...

Preview:

Citation preview

J.M. AbrilDepartment of Applied Physics (I); University of Seville (Spain)

IAEA Regional Training Course on Sediment Core Dating Techniques. RAF7/008 Project

J.M. Abril, University of Seville1

Lecture 9:

Case studies

Spatial variability in sedimentation rates and radionuclide inventories. An approach from Computational Fluid Dynamics Models

Irish Sea and Härsvatten lake

J.M. Abril, University of Seville2

Horizontal movement , with water velocity

Settling velocity

Resuspension

BASIC PROCESSES FOR SPM DYNAMICS AND SEDIMENTATION RATES

BASIC PROCESSES FOR SPM DYNAMICS AND SEDIMENTATION RATES

J.M. Abril, University of Seville3

Bathimetry

The Irish Sea

J.M. Abril, University of Seville4

Distribution (in % dry weight) of small particles (ф ≤ 62.5 µm) in the top sedimentlayer for the Irish Sea.

J.M. Abril, University of Seville5

Residual circulation

Stream function (km3 y-1) calibrated by modelling the salinity distribution

J.M. Abril, University of Seville6

SOURCE TERM:Proportional to freshwater discharges along the shoreline

J.M. Abril, University of Seville7

SEDIMENTATION RATES arise as net balance of deposition and resuspension or, alternatively, as a mass balance at each grid-cell

SEDIMENTATION RATES arise as net balance of deposition and resuspension or, alternatively, as a mass balance at each grid-cell

J.M. Abril, University of Seville8

The grid used in our numerical model, with grid lengths Δx = Δy = 5.16 km. Numbers in the X and Y directions are the index used to label each grid-cell. Black boxes represent land and the white ones water. Eq. 1 is solved in the center of each grid-cell at every time step.

J.M. Abril, University of Seville9

Modelling the mean annual SALINITY distribution served to calibrate the diffusion term in the transport equation

Observed

Model

J.M. Abril, University of Seville10

Estimated river discharges (km3 y-1) for each coastal sector (defined between arrows) taken from MAFF (MAFF, 1987). Contours (x 103 km3 over each compartment) represent computed steady-state distribution of volumes from these river discharges.

J.M. Abril, University of Seville11

Computed steady-state spatial distributions of SPM and sedimentation rates

J.M. Abril, University of Seville12

VALIDATIONSPM (a) and net deposition (b) vs. distance from the Cumbrian coast-line. Circles are measured values.

SENSITIVY TEST: The continuous line is for our selected set of parameter values . The dashed and point dashed lines corresponds to double and a half value of settling velocity.

J.M. Abril, University of Seville13

All these results for w confirm the general accepted impression about the sedimentary processes taking place at the Irish Sea. IOS and MAFF (Kirby et al., 1983) did not found evidences of net erosion nor sedimentation in the mud bank of Cumbria, concluding that the sedimentary regime in this area is relatively stable.

J.M. Abril, University of Seville14

J.M. Abril, University of Seville15

With the permission of the author

J.M. Abril, University of Seville16

The model solves the three dimensional hydrodynamic equations, using normalized σ coordinates in the vertical

It includes wave–current interaction through by an increase in the current friction factor,

J.M. Abril, University of Seville17

Suspended matter equations

ms is the SPM concentration, and ws is their settling velocity

Deposition and erosion of the sediment are incorporated into the sea bed boundary condition. Both processes have threshold velocities.

E is the erodability, M (2-5) is some power of the water velocity, and f gives the fraction of particles with a diameter <62.5 lm in the sediment

Includes a source term, as in Abril and García-León, 1992. J.M. Abril, University of Seville18

J.M. Abril, University of Seville19

J.M. Abril, University of Seville20

J.M. Abril, University of Seville21

Lake Härsvatten

J.M. Abril, University of Seville22

Large-scale and Long-term Environmental Behaviour of Transuranic Elements as Modelled

through European Surface Water Systems.

This work is part of a research project financially supported by the European Commission, Nuclear Fission Safety Programme, Contract No. FI4P-CT96-0046 (DG12-WSMN).

Coordinator: Dr. F. El-Daoushy (Uppsala University, Sweden).

Partners:Dr. F. El-Daoushy (Uppsala University, Sweden)Prof. P. G. Appleby (University of Liverpool, the United Kingdom);Prof. M. García-León (Universidad de Sevilla, Spain);Dr. P. Casper (Forschungsverbund Berlin e.V.-Gemeinsame Verwaltung, Germany);Prof. G. Ardisson (Université de Nice, France).

J.M. Abril, University of Seville23

In radioecology, lakes have often been considered as well mixed water bodies

From CFD studies we know that the magnitude of the wind forced water currents is of the order of some cm/min to few cm/s over spatial scales of the order of few kilometers.

Consequently, the time scale involved in the dispersion and mixing of any input of pollutants will be, typically, of several days or weeks, being the lacustrine system comparable to an estuarine or a coastal areas with length-scales of ten or hundred kilometers and with water currents of the order of 1 m/s.

Thus, the spatial distribution of concentrations and inventories or the focussing, cannot be properly understood without considering the hydrodynamics of the lacustrine water body.

J.M. Abril, University of Seville24

J.M. Abril, University of Seville25

Focusing ?

0

2

4

6

8

10

12

0 5 10 15 20 25 30

(23

9+

24

0)-

Pu

act

ivity

(m

Bq

/g)

Water depth (m)

J.M. Abril, University of Seville26

Bathymetric map and grid for numerical model

J.M. Abril, University of Seville

"mapdu.dat" 10 12 14 16 18 20 22 24 26 28 29.9

10 20 30 40 50 60 70 80

5

10

15

20

25

30

35

40

27

-30

-25

-20

-15

-10

-5

0

5

10

01020304050607080

Sigma coordinates for the longitudinal profile x=12

"profile""profile"

J.M. Abril, University of Seville28

1 m/min

Surface current, Vv=2.5 m/s

J.M. Abril, University of Seville29

1 m/min

Bottom currents, Vv=2.5 m/s

J.M. Abril, University of Seville30

0

5

10

15

01020304050607080

Wat

er d

epth

(m

)

Y-coordinate (x 13.15 m)

1 m/min

"sec1"

J.M. Abril, University of Seville31

-4

-2

0

2

4

6

8

10

12

0 5 10 15 20 25 30 35 40

Wat

er d

epth

(m

)

X-coordinate (x 13.15 m)

1m/min

1 m/min

"sec1t"

J.M. Abril, University of Seville32

Advective tracks

J.M. Abril, University of Seville33

Vs

vs= 10 m/day. Water circulation from RUN 3D1

0

5

10

15

20

25

30

35

40

10203040506070

J.M. Abril, University of Seville34

vs= 1 m/day. Water circulation from RUN 3D1

0

5

10

15

20

25

30

35

40

10203040506070

J.M. Abril, University of Seville35

vs= 0.1 m/day. Water circulation from RUN 3D1

0

5

10

15

20

25

30

35

40

10203040506070

J.M. Abril, University of Seville36

Spheroidal carbonaceous fly-ash particles

R. Bindler et al.

Spatial distribution of SPC inventories by quartiles

J.M. Abril, University of Seville37

http://www.fysik.uu.se/isotopgeo/NewFiles/trans.html

J.M. Abril, University of Seville38

3

3.5

4

4.5

5

5.5

6

0 200 400 600 800 1000 1200 1400 1600 1800 2000

Susp

end

ed

matte

r (m

g/l)

Time (hours)

"co1.dat""co2.dat""co3.dat""co5.dat"

"m4"

3

3.6

3.8

4

4.2

4.4

4.6

4.8

5

10

15

20

25

30

35

10203040506070

J.M. Abril, University of Seville39

Modelling SPM dynamics

t=1000 h

"m3" 0

0.001 0.0025 0.005

0.0075 0.01 0.1

5

10

15

20

25

30

35

10203040506070

J.M. Abril, University of Seville40

Modelling sedimentation rates

-0.02

-0.01

0

0.01

0.02

0.03

0.04

0.05

0.06

0.07

0 10 20 30 40 50 60 70Sed

imen

tatio

n r

ate

[g d

ry m

atte

r/ (c

m^2

y)]

Y-coordinate (x 13.15 m)

t=100 ht=500 h

t=1000 ht=2000 h

J.M. Abril, University of Seville41

t=600 h

Dissolved (mBq/l)

"m11"

0.199

1

5

10

25

50

75

100

200

300

400

500

5

10

15

20

25

30

35

10203040506070

J.M. Abril, University of Seville42

10 .00

10 .00

20 .00

30 .00

40 .00

50 .00

60 .00

70 .00

0 .00

20 .00

60 .00

80 .00

100 .00

140 .00

180 .00

200 .00

300 .00

Pu

con

cen

trati

on

s in

dis

solv

ed

p

hase (

a.u

.) 2

4 a

fter

a

hyp

oth

eti

cal atm

osp

heri

c in

pu

t.

Spatial distribution of SPC inventories by quartiles

J.M. Abril, University of Seville43

The present model development has to be understood as an effort to produce a suitable virtual laboratory for testing our knowledge on radionuclide behaviour in lake systems and lacustrine sediments, being at time like a map to assist future research in this field

J.M. Abril, University of Seville44

Recommended