River Incision due to Gravel Mining a case

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River Incision due to Gravel Mining: a case study Martín-Vide, J. P. Ferrer-Boix, C.

River Incision due to Gravel Mining: a case study Martín-Vide, J. P. Ferrer-Boix, C. Technical University of Catalunya Barcelona, Spain

Outline • • • Background Study site and problem Data about mining and incision

Outline • • • Background Study site and problem Data about mining and incision Gravel transport modelling Conclusions

BACKGROUND: Gravel mining → Bed degradation • Serious concern in many developed countries •

BACKGROUND: Gravel mining → Bed degradation • Serious concern in many developed countries • Effect usually thought as two-fold: - shortage of sediment downstream → - base level lowering upstream ←

> 3 m Tordera river, Cataluña, Spain. >3. 0 m 1970 -2002 primarily due

> 3 m Tordera river, Cataluña, Spain. >3. 0 m 1970 -2002 primarily due to gravel mining

Cervo river, Piamonte, Italia

Cervo river, Piamonte, Italia

STUDY SITE Gállego river dominant discharge = 350 m 3/s dam 1932 / gauging

STUDY SITE Gállego river dominant discharge = 350 m 3/s dam 1932 / gauging st. 500 yr-return flood = 1. 765 m 3/s mean discharge 25 m 3/s = 4. 000 km 2 800, 000 inhabitants

Weir at x ≈ 11 km; rip-rap against general scour downstream

Weir at x ≈ 11 km; rip-rap against general scour downstream

upstream of the weir: no incision, well preserved riparian vegetation downstream of the weir:

upstream of the weir: no incision, well preserved riparian vegetation downstream of the weir: incision

Active large gravel deposits everywhere, still today

Active large gravel deposits everywhere, still today

Incision in 1970 -2000 4– 5 m

Incision in 1970 -2000 4– 5 m

Incision in 1970 -2000

Incision in 1970 -2000

DATA 1) Sediment Grain Sizes Weir x-coord Dm sg Dm * sg* * surface

DATA 1) Sediment Grain Sizes Weir x-coord Dm sg Dm * sg* * surface a gravel bed river; armoured (more d/s of weir); no d/s fining km mm mm mm - 1. 48 19. 7 1. 84 58. 3 1. 53 5. 38 14. 1 2. 00 102. 6 2. 11 7. 27 10. 6 2. 61 104. 9 1. 77 9. 30 11. 9 2. 38 145. 2 1. 38 12. 99 20. 1 2. 64 95. 5 1. 41 17. 64 25. 5 2. 16 89. 9 1. 92

DATA 2) HISTORICAL LONGITUDINAL PROFILES

DATA 2) HISTORICAL LONGITUDINAL PROFILES

INERTIA not yet any incision UPSTREAM PROPAGATION small volume mined, large MODERN incision large

INERTIA not yet any incision UPSTREAM PROPAGATION small volume mined, large MODERN incision large volume mined Weir incision started floods (m 3/s) gravel mining started years large volume mined, minor incision

Mean values of incision at different times (by averaging). 1962 -1987 incision 1988 -2004

Mean values of incision at different times (by averaging). 1962 -1987 incision 1988 -2004 incision km m m 0 -1. 83 -0. 99 - 1. 83 -3. 50 -2. 00 - 3. 50 -5. 80 -3. 64 - 5. 80 -8. 30 -4. 86 -0. 40 8. 30 -11. 09 -3. 36 -1. 47 Distance Inertia and upstream propagation; no incision u/s of weir Period Volume mined Volume of alluvium depleted (volume lost) m³ m³ 1962 -1987 965, 000 1, 818, 200 1988 -2004 0 346, 000

3) MORPHOLOGICAL CHANGES: from highly braided to a single thread channel; very common process

3) MORPHOLOGICAL CHANGES: from highly braided to a single thread channel; very common process in Europe in 1950 -2000 1946 1957 2004

3) MORPHOLOGICAL CHANGES 1957 2004

3) MORPHOLOGICAL CHANGES 1957 2004

GRAVEL TRANSPORT MODELLING • Mass balance or budget model • Algorithm to compare transport

GRAVEL TRANSPORT MODELLING • Mass balance or budget model • Algorithm to compare transport capacity and supply (availability) • Bedload equations by size fractions • 8 reaches Weir

IDEAS FOR TRANSPORT MODELLING: CAPACITY ( C ) vs AVAILABILITY (A ) Case 1:

IDEAS FOR TRANSPORT MODELLING: CAPACITY ( C ) vs AVAILABILITY (A ) Case 1: 2: Ai. C 2 < i. C 1 < i. Ai Case < i. C 1 < i. C 2 Aggradation: Ai. C 1 Degradation: +(C 2 i i-Ai)’

Modelling results • Shear stress from gradually-varied Hec-Ras model • Model applied to actual

Modelling results • Shear stress from gradually-varied Hec-Ras model • Model applied to actual recorded normal flows and floods • Balance: Volume IN – Volume OUT – Volume MINED = Vol. LOST (bedload equation) (negative) • The model computes volumes IN and OUT

Period 1962 -1987 1988 -2004 Volume mined Volume lost Meyer-Peter Müller balance Smart-Jaeggi balance

Period 1962 -1987 1988 -2004 Volume mined Volume lost Meyer-Peter Müller balance Smart-Jaeggi balance Parker balance m³ m³ m³ 203, 000 776, 000 831, 000 181, 000 321, 000 331, 000 965, 000 -1, 818, 200 0 -346, 000

GRAVEL MINING EFFECTS

GRAVEL MINING EFFECTS

FUTURE WORK: 1 D – PHYSICALLY-BASED MODELLING • Parabolic model: Exner + Uniform flow

FUTURE WORK: 1 D – PHYSICALLY-BASED MODELLING • Parabolic model: Exner + Uniform flow • Hyperbolic model: Exner + Non-uniform flow • Coupled model: Exner + St. Venant

PLANS FOR RESTORATION

PLANS FOR RESTORATION

CONCLUSIONS • Inertia between gravel mining and bed incision • Upstream propagation of incision,

CONCLUSIONS • Inertia between gravel mining and bed incision • Upstream propagation of incision, stopped by the weir (is the d/s boundary condition of water level in Ebro river the cause of u/s propagation? ) • Depletion of alluvium >> Volumen of gravel mined • Bedload formulas seem to fail to explain the amount of this difference, except for MPM • Channel incision brings higher shear stresses on channel bottom; less spill on floodplains, etc. so that incision is in some way IRREVERSIBLE.