BalticBoost Case Studies Worksh shop op 28./ ./29. 29.11. 1. - - PowerPoint PPT Presentation

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BalticBoost Case Studies Worksh shop op 28./ ./29. 29.11. 1. - - PowerPoint PPT Presentation

Oct 18, 2022 304 likes •576 views

Worksh shop op 28./ ./29. 29.11. 1. BalticBoost BalticBoost Case Studies Worksh shop op 28./ ./29. 29.11. 1. BalticBoost Case Studies in MV Human activities Worksh shop op 28./ ./29. 29.11. 1. BalticBoost Case Studies in MV

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BalticBoost

BalticBoost Case Studies

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Worksh shop

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BalticBoost

Case Studies in MV

Human activities

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Case Studies in MV

EUSeaMap 2011

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Case Studies in MV Construction

Windfarm turbine: rocky scour protection diameter 20 m Cables: 2 m trench dredging or cutting refill with „fresh“ sediment trenches visible after 10 years cover with concrete or steel on hard bottom

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Case Studies in MV

Number Area Percentage Wind Turbines 212 148.400 m² 0,003 % Kables (to shore) Kables (array) 4 4 156 km x 2 m 160 km x 2 m 630.000 m² 0,014 % Kables (data) 2 138 km x 2 m 276.000 m² 0,006 % Mecklenburg Bight 4.606 km² 4.606.000.000 m²

Construction

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BalticBoost

Case Studies in MV

EUSeaMap equivalent

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Worksh shop

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BalticBoost

Case Studies in MV Construction

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Case Studies in MV

Number Area Percentage Wind Turbines 21 (+1) 14.844 m² 0,0015 % Kables (to shore) Kables (array) 1 1 122 km x 2 m 21 km x 2 m 286.000 m² 0,028 % Kables (data) 4 104,5 km x 2 m 209.000 m² 0,021 % Plantagenet- Grund 1.007 km² 1.007.100.000 m²

Construction

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Case Studies in MV Construction

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Case Studies in MV dredging & dumping Complicated issue Maintenance vs capital dredging Area hard to pinpoint Data hard to get relyably

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Case Studies in MV

Human activities

dredging & dumping

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Case Studies in MV

dumping grounds number Area Percentage Point data 5 (2006-08, 2012, 2009, 2010-11, 2006-2013) 125.660 m² 125.660 m² 125.660 m² 196.344 m² 196.344 m² 0,02 % Area data 1 (2010) 1.800.000 m² 0,014 % Mecklenburg Bight 4.606 km² 4.606.000.000 m²

dumping

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Case Studies in MV

Human activities

sand extraction

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Case Studies in MV sand extraction Trailing suction hopper filters stones & rocks filters fine sediments filters unwanted size fractions

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Case Studies in MV

Extraction areas Volume

(total/extracted)

Area

(total/extracted)

Percentage Wismargrund

592/560 tm³

93,6/88,6 km² 1,9 % Trollegrund

1.236/356 tm³

7,2/4,1 km² 0,09 % Kühlungsborn

640/150 tm³

6,6/3,1 km² 0,07 % Heiligendamm

1.068/444 tm³

21,5/17,9 km² 0,39 % Mecklenburg Bight 4.606 km² 4.606.000.000 m²

sand extraction

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Case Studies in MV all uses

EUNIS 3 habitat/ area in MB (km²) Affected by sediment extraction (m²) Affected by dumping (m²) Loss from wind turbines (m²) Affected by cables (m²) Sum (m²)/ percentage sublittoral sand / 1432,7 113.700.000 2.122.004

  • 706.600 116.528.604/

8,1

sublittoral mud / 2075,4

  • 447.664

35.342 401.400 884.406/

0,04

sublittoral mixed sediments/ 72,3

  • 18.400

18.400/

0,03

shallow sublit. rock/biogenic reef/ 867,6

  • 114.508

270.000 384.508/

0,04

sublittoral till / 4,09

  • 106.800

106.800/

2,6

cables

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maps Case Study Plantagenetgrund

EUSeaMap equivalent

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maps Case Study Plantagenetgrund

broad scale habitat area in cs (km²) affected area in cs (km²) percent affected area in cs (km²) (worst case) Percentage (worst case) photic sand 963,36 18,48 1,92 77,76 8,07 aphotic sand 43,74 0,007 0,016 0,007 0,016

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maps Case Study Plantagenetgrund

HELCOM HUB level 6 (Schiele, 2015)

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all uses Case Study Plantagenetgrund

habitat, HUB code level 6 area in cs (km²) affected area in cs (km²) percentage mixed bivalves CMM, AA.J3L9 872,1 18,43

2,11

mixed bivalves CMM, AB.J3L9 43,6 0,0062 0,01 AA.J3L 16,7 0,0258 0,15 AA.M1C/S 19,1 0,0012 0,01 Mytilidae, AA.J1E1 18,5 AA.J3 13,1 0,0032 0,02 Mya arenaria, AA.J3L4 4,9 0,01 0,18 mixed bivalves CMM, AA.I3L9 1,9 0,0045 0,24 Ophelia/Travisia, AA.J3L11 11,46 0,0066 0,06 AB.M1 0,14 0,0009 0,65 AA.M*1 3,5 AA.G 2,1

  • sum

1.007 18,49 1,84

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all uses Case Study Plantagenetgrund

habitat, HUB code level 6 area in cs (km²) affected area in cs (km²) percentage affected area “worst case” percentage

(“worst case”)

mixed bivalves CMM, AA.J3L9 872,1 18,43

2,11

61,90

7,10

mixed bivalves CMM, AB.J3L9 43,6 0,0062 0,01 0,006 0,01 AA.J3L 16,7 0,0258 0,15 0,03 0,15 AA.M1C/S 19,1 0,0012 0,01 0,400 2,10 Mytilidae, AA.J1E1 18,5 9,753

52,72

AA.J3 13,1 0,0032 0,02 0,003 0,02 Mya arenaria, AA.J3L4 4,9 0,01 0,18 0,01 0,18 mixed bivalves CMM, AA.I3L9 1,9 0,0045 0,24 0,004 0,24 Ophelia/Travisia, AA.J3L11 11,46 0,0066 0,06 5,650

49,30

AB.M1 0,14 0,0009 0,65 0,001 0,65 AA.M*1 3,5 0,013 0,36 AA.G 2,1

  • sum

1.007 18,49 1,84 77,77 7,72

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Case Studies in MV CONCLUSION generally, loss from construction, dredging and dumping is very low on a broad scale

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Case Studies in MV CONCLUSION do not waste resources in trying to get better data for

  • ur assessment unit
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Case Studies in MV CONCLUSION sand extraction is an underestimated „big player“, more discussion is needed: How much area exactly? Is it really loss?

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Case Studies in MV CONCLUSION different picture on the small scale environmental agencies are probably doing a good job

  • n the small scale
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Case Studies in MV CONCLUSION THANKS! for your kind attention