Talks provided at the Scottish Fisheries Co-ordination Centre/Institute of Fisheries Management MAPPING FISHERIES workshop in Edinburgh on March 1st-2nd 2016
1. SCIMAP: modelling and mapping diffuse pollution risk.
The North Pennines.
David Higgins: Tees and Wear Rivers Trust
2. Tees and Wear River Trusts:
EA funded Metal Mines Project
Introduction and background
GIS-based desktop – SCIMAP and literature
Walkover surveys
Developing costed restoration plans
3. SCIMAP
www.scimap.org.uk
Risk map for fine
sediment
Route risk through
catchment
Point scale
risk
Surface
flow index
Saturation
propensity
channels
erodability
Stream
power
Upslope
area
slope
Land
cover
DEM Rain
map
4. Farmer 1:
‘a mile out and not representing the
situation on the farm.’
‘the model is simply wrong and
doesn’t fit with what actually
happens’
‘had not known a time when the
drain couldn’t cope with the amount
of runoff even in severe downpours.’
Testing the model
5. Farmer 2:
‘when the culvert becomes
blocked with debris, the water
does follow the locations shown
on the map (SCIMAP).’
6. Farmer 3:
‘the model is right but the farming
system changes the result’
‘the farm is a very low risk (due to)
the farming system we have which
reduces runoff.’
7. Farmer 4:
‘above the road (SCIMAP)
appears to be reasonably
accurate but the water is
picked up by drains once it
reaches the road and is
redirected away from the
lower sections of the farm.’
8. SCIMAP outputs in channel
Erosion sources
x
surface flow
In channel fine
sediment risk
9. Tees and Wear River Trusts
Metal Mines Project
GIS-based desktop – SCIMAP
11. The SCIMAP Model: Identifying risky locations
Connection and
disconnection
Hillslope
Spoil heap
Surface flow
Connection or
disconnection
River
12. Strong connection and risk of
fine sediment delivery, here the
stream bank is severely eroded.
Area of eroding spoil heap
undercut by stream.
Area of extensive mine spoil,
workings and bare earth. SCIMAP
confirms strong connectivity and
risk of fine sediment delivery and
by implication heavy metal
delivery. This fits with the EA
investigations so offers ground
truthing of the model.
SCIMAP outputs for
Hudeshope Beck.
Blue and brown colours show hydrological
connectivity and fine sediment risk with the
brown areas posing the greatest risk of fine
sediment delivery.
16. Tees and Wear River Trusts
Metal Mines Project
Walkover Surveys
17. Proposed Methodology for Metal Mines Project
River Catchment Zone Description
Priority
(1 high priority…3 lowest priority)
Riparian
Eroding bank passing through lead
mining zone
1
Eroding bank undermining spoil heap 1
Eroding bank 100 m d/s of lead mining
zone
2
Eroding bank u/s of lead mining zone 3
2
Locations closest to the river bank can be assumed to pose the greatest risk. Where
these are being undercut by the river it seems likely the risk is being realised.
Proposed Methodology for Metal Mines Project
ment Zone Description
Priority
(1 highest priority…3 lowest
priority)
Comments
an
Eroding bank passing through lead
mining zone
1
The lead mining locations closest to
the river bank can be assumed to pose
the highest risk. Where these locations
are being undercut by the river the
risk it seems likely that the risk is being
realised.
Eroding bank undermining spoil heap 1
Eroding bank 100 m d/s of lead mining
zone
2
Eroding bank u/s of lead mining zone 3
18. Floodplain
Bare/un-vegetated soil in lead mining
zone
1: > 50m2
2: 20 – 50m2
3: < 20m2
Lead mines, workings or spoil heaps
present
1: if connected by surface flow to a
watercourse as identified by SCIMAP
2: if not connected to a
watercourse in SCIMAP
Catchment
Bare/un-vegetated soil within lead
mining area connected to a
watercourse as identified by SCIMAP
1: > 50m2
2: 20 – 50m2
3: < 20m2
Spoil heaps connected to a
watercourse as identified by SCIMAP
1
Bare/un-vegetated soil in wider 3
Pollution sources in the floodplain will be impact rivers if connected and if they create patches of bare
soil. Smaller patches of bare soil may suggest other issues, e.g. livestock erosion, larger patches could be
due to heavy metal pollution. SCIMAP can describe which pollution sources are connected by surface flow.
19. Floodplain
Lead mines, workings or spoil heaps
present
1: if connected by surface flow to a
watercourse as identified by SCIMAP
2: if not connected to a
watercourse in SCIMAP
Catchment
Bare/un-vegetated soil within lead
mining area connected to a
watercourse as identified by SCIMAP
1: > 50m2
2: 20 – 50m2
3: < 20m2
Spoil heaps connected to a
watercourse as identified by SCIMAP
1
Bare/un-vegetated soil in wider
catchment that is not connected by
surface flows and is located outside of
any known lead mining zone
3
Notes: These methods are a proposed working route to identifying sources of heavy metal pollution, assessing their prior
methods in data-poor catchments. Where data exists that suggests a diffuse pollution source any location can be assigneThe wider catchment poses less of a risk due to greater distance from a watercourse.
However, SCIMAP can describe where pollution sources maybe connected to a
watercourse by surface flow. These can then be assigned a higher risk rating.
24. Designed from dressing floor sediments, unconsolidated and highly erodible…abutting stream
25. 2nd area of main concern spoil heaps eroding into stream
26. Tees and Wear River Trusts
Metal Mines Project
Developing costed restoration plans
27.
28. Key
Area of mine spoil
SCIMAP outputs, browns show high connectivity and
eeeeeeeeee fine sediment delivery, blues moderate and whites very
e low, or no, risk.
Hudeshope Beck
Map 1
Map 2
Map 3
Map 4
Map 5
29. The blue and brown zones
within this spoil area require
surveying.
Again the blue and brown
zones need surveying as
does the area where the
stream cuts through the
spoil area.
The same here, blue and
brown zones as well as the
locations where
watercourses cut through
the spoil area require
surveying.
Map 2
SCIMAP is a risk based modelling tool that relies on a flow of data in order to asses risk of diffusion pollution. The two main inputs are the DEM and a landcover map converted into risk categories with a risk value between 1 and 10. A rainfall map can be added or a constant grid created and then everything else can be calculated resulting in a map showing the risk of erosion of any point in the landscape and a network index. By multiplying these together we can get a risk map of the most probable locations that will result in diffused pollution. This has been carried out a 10 * 10 m scale.
This farmer was the most negative. It was quite difficult explaining the concept of connected sediment sources. He concentrated on where standing water accumulated and argued against the model despite there being some relevance to the on-ground situation. The area of greatest
risk didn’t appear to be realised because a drain (or a sinkhole in the limestone geology) was gathering surface flow and redirecting it through subterranean passages.
Here the landowner accepted that without extensive drainage the model would represent the surface conditions.
Again this landowner accepted that the model would be fairly accurate had his farming system been managed poorly.
Again the model picks up the situation until drainage redirects surface flow.