Impact of current conservation practices on sediment load reduction in the Danube River Basin Olga Vigiak, Anna Malagó, Fayçal Bouraoui, Marco Pastori, Pasquale Borrelli, Alberto Pistocchi www.jrc.ec.europa.eu
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Context of the research •
Water Framework Directive (WFD) requires freshwater bodies achieving good ecological status by 2015
•
Conservation practices (Best Management Practices – BMPs) are at the core of strategies to achieve the WFD targets
•
But what has been the impact of BMPs on pollution (e.g. sediments) so far?
•
Objective of the study was to assess the impact of conservation practices already implemented on sediment reduction in a large European
river basin (the Danube)
Workflow BMPs estimation
SWAT
BMP effectiveness
1 July 2015
• Spatial distribution • SWAT implementation • Model calibration • Current BMPs, 1995-2004 • SWAT run without each BMPS • Ratio of sediment loads per regions
Best Management Practices HRU
• Cover crops, • Residue management, • Conservation tillage, • Terracing/contouring
HRU border
• Riparian land (filter strips)
Instream
1 July 2015
• Streambank protection • Reservoirs/locks
SWAT2015 Conference, Pula, 24-26 Jun 2015
The Danube Basin ~2700 km, 834000 km2 area, 19 Countries (4663 subbasins of 172 km2 average)
Farming system BMPs Eurostat 2010 data (Nuts2)
Cover crops: 15013 km2 (4%) of arable land Conservation (minimum or no till) tillage: 77469 km2 (20%) of arable land Residue management: 18400 km2 (5%) of arable land Terracing: fraction of holdings with stonewalls ~ proxy for terrace density; ranged 0-25% (weighted mean 1.3%) 1 July 2015
SWAT2015 Conference, Pula, 24-26 Jun 2015
SWAT implementation BMP
Approach
Applied to
Cover Crop
One year rotation (Arabi et al. 2008)
Annual crops
Conservation tillage
Minimum tillage (adapted from Ullrich and Volk 2009, Lam et al., 2011)
Annual crops
Residue Management
Change Harvest&Kill into Kill
Summer cereals
Terracing
Manual USLE P/slope look-up * changes in LS factor * fraction of terraced land
pastures and permanent crops, Slopes 5-60%
1 July 2015
SWAT2015 Conference, Pula, 24-26 Jun 2015
Overview of farming system BMPs Current farming system BMPs cover
471 Hrus - 23% of arable HRUs; 28% of arable land area Terracing USLE P correction ranged 0.77- 0.99 However, USLE P < 0.97 only in 10% of these HRUs
1 July 2015
SWAT2015 Conference, Pula, 24-26 Jun 2015
Riparian land map Pan-European map of riparian vegetation types at 25m resolution (Clerici et al. 2013; Weissteiner et al. 2013) + CORINE wetlands
Modelled as filter strips VSFRATIO ~ area of subbasin/area of riparian zone in the subbasin (limited in the range 10-200) No data area: attributed characteristics of neighboring regions Applied to pastures or cropland hrus
SWAT implementation (ops table) 600 0 200
original = from Clerici et al. map (2152 hrus)
Frequency
original
0
50
100
150
200
150
200
VFS ratio in riparian map
600 0 200
final = including the nodata region (2815 hrus, 54%)
Frequency
final
0
50
100 VFS ratio in the Danube
Operation
Parameters
SWAT2012 (filter.f)
FILTER_I (VSFI)=
FILTER_RATIO (VSFRATIO) =
FILTER_CON (VSFCON):
FILTER_CH (VFSCH):
MNG_OP=4
1
10-200
0.25
0.10
Riparian land in the Danube (cropland and pastures)
In-stream (streambank & reservoirs/locks) Clerici et al. 2013 riparian map (25m) used for estimating vegetation along the main stream (CH_COV; note: CH_EQN=3)
No data: values assigned depending on land use, slope and drainage area Major reservoirs and hydropower plant locks (114) included 1 July 2015
SWAT2015 Conference, Pula, 24-26 Jun 2015
30 25 20
Predicted
0
5
10
15
20 15 0
5
10
TSS (mg/L)
25
30
SWAT sediments (uncalibrated)
35
60000662 TSS (mg/L)
35
Morava - Devin
1996
1998
2000
2002
2004
0
5
10
15
Year
Danube - DELTA
30
35
30 Predicted
2000
40
1998
2002
2004
0
Year
10
20
30
40
observed
0
20
40
1996
20
20 0
0
10
TSS (mg/L)
10
20
120 100 80 60
60
Predicted
80
100
120
30
140
140
40
60000212 TSS (mg/L)
0
TSS (mg/L)
25
60000122 TSS (mg/L)
40
Inn - Passau Ingling
20
observed
1996
1998
2000 Year
1 July 2015
2002
2004
0
20
40
60
80
100
120
140
observed
SWAT2015 Conference, Pula, 24-26 Jun 2015
SWAT sediments (uncalibrated)
Predicted
1998
2000
2002
2004
0
10
20
30
40
10
observed
0
10
20 0
0
10
TSS (mg/L)
20 10
40 20
Predicted
30
40 30 20
1996
Year
0
TSS (mg/L)
30
60000777 TSS (mg/L) 30
Donau - Esztergom
40
60000122 TSS (mg/L)
40
Danube - DELTA
1996
1998
2000 Year
1 July 2015
2002
2004
0
10
20
30
40
observed
SWAT2015 Conference, Pula, 24-26 Jun 2015
Tisa - Titel
60000073 TSS (mg/L)
40 30 20
Predicted
0
10
20 0
10
TSS (mg/L)
30
40
SWAT sediments (uncalibrated)
2001
2002
2003
2004
2005
0
10
Year Danube - DELTA
40 30 Predicted
0
10
20
30 20
40
TSS (mg/L)
30
0
1998
2000
2002
2004
0
10
20
30
40
observed
0
10
Year
10
40
20
Predicted
10
40 30 20
1996
0
TSS (mg/L)
30
observed 60000122 TSS (mg/L)
60000122 TSS (mg/L)
40
Danube - DELTA
20
1996
1998
2000 Year
1 July 2015
2002
2004
0
10
20
30
40
observed
SWAT2015 Conference, Pula, 24-26 Jun 2015
Results example: (i) impact of riparian land at HRU scale HRU SY (t/ha)
100 0
0.0
0.2
50
0.4
Current
0.6
0.8
150
1.0
Riparian efficiency - HRU SY
0
50
100
150
200
250
no riparian land
1 July 2015
SWAT2015 Conference, Pula, 24-26 Jun 2015
(ii) impact at reach scale 1.0 0.5 0.0 -0.5 -1.0 -1.5 -2.0
Efficiency riparian land
-1.5 -2.0
-1.0
-0.5
0.0
0.5
1.0
Efficiency of Riparian land in all reaches
0.00
0.02
0.04
0.06
0.08
0.10
Riparial land fraction
1 July 2015
SWAT2015 Conference, Pula, 24-26 Jun 2015
(iii) Impact at regional scale 250.00
No Riparian land
Current
Efficiency of Riparian land in Danube regions
0.2
150.00
100.00
0.1
50.00
0.0
Efficiency SSY
0.3
0.4
Specific Sedimen Yield (t/km2)
200.00
0.00
1 July 2015
SWAT2015 Conference, Pula, 24-26 Jun 2015
Discussion -
Potential errors in spatial attributions of BMPs
-
Literature reports different implementation of BMPs in SWAT (e.g. conservation tillage) -> impact on BMPs ‘effectiveness’
-
Wetlands: currently SWAT only consider impact on the subbasin, cannot consider upstream reaches load (longitudinal connectivity)
-
Careful calibration (water and sediments) is needed to achieve correct representation of sediment generated in land vs stream phase processes
1 July 2015
SWAT2015 Conference, Pula, 24-26 Jun 2015
Conclusions & outlook Good general performance of SWAT for suspended sediment modelling
even in uncalibrated conditions (but careful set-up) This study will help revealing the real impact of BMPs on sediment (and in
the future, on nutrients) at several scales (from local to regional) The BMPs rules & calibrated SWAT model can be used for scenario analysis Further contact:
[email protected]
Selected references Arabi M, Frankenberger JR, Engel BA, Arnold JG. 2008. Representation of agricultural conservation practices with SWAT. Hydrological Processes 22, 3042-3055. Doi: 10.1002/hyp.6890 Clerici N Weissteiner CJ, Paracchini ML, Strobl P 2011. Riparian zones: where green and blue networks meet. Pan-European zonation modleling based on remote sensing and GIS. JRC Scientific and technical reports EUR24774EN, Joint Research Centre – Institute for Environment and Sustainability, Luxenburg, 60pp doi: 10.2788/80271 ISBN 978-92-79-19799-4. Clerici N, Weissteiner C J, Paracchini ML, Boschetti L, Baraldi A, Storbl P. 2013. Pan-European distribution modleling of stream riparian zones based on multi-source Erath Observation data. Ecological Indicators 24, 211-223 Hatterman FF, Krysanova V, Habeck A, Bronstert A. 2006. Integrating wetlands and riparian zones in river basin modelling. Ecological Modelling 199, 379-392. Lam QD, Schmalz B, Fohrer N. 2011. The impact of agricultural Best Management Practices on water quality in a North German lowland catchment. Environmental Monitoring Assessment 183, 351-379. Doi: 10.1007/s10661-011-1926-9. Ullrich A, Volk M. 2009. Application of the Soil and Water Assessment Tool (SWAT) to predict the impact of alternative management practices on water quality and quantity. Agricultural Water Management 96, 1207-1217. Weissteiner CJ, Bouraoui F, Aloe A. 2013. reduction of nitrogen and phosphorus loads to European rivers by riparian buffer zones. Knowledge and management of aquatic ecosystems 408: 8