Generic CatchIS Presentation
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Transcript Generic CatchIS Presentation
Pesticide Model – Full Details
Top Pesticides
Runs for Surface Water Catchments and for Ground Water boreholes:
Data export option
to Excel:
SWAT Model - Top Pesticides
Catchment based threshold exceedence
Uses either Seasonal exposure or Pesticide specific loadings :
SWATCATCH Model
Catchment based threshold
exceedence
Groundwater assessment for all
boreholes
Groundwater assessment for a
single borehole
Identify Catchment Hot-Spots:
Ground Water:
GWAT Model
Soil, pesticide, climate data
g/w resources identified from EA g/w
vulnerability mapping and SPZs
Soil leaching
model
(MACRO)
Attenuation
factor model
(unsat zone)
‘local’ g/w
Using id for
likely g/w
resources
aquifers
Using id EA
major/minor
aquifers
boreholes
Grids in
SPZ
Identify Catchment Hot-Spots
Surface Water:
SWAT Model - Catchment Hot-spots
Bespoke Reporting Output
Current Developments
Nitrates, Climate Change, Leakage and AMP
Current Developments - Nitrates
Surface water Nitrate model
Calculates the agriculturallyderived nitrate concentrations at
the surface water abstraction
point based on the amount of
leachable N available for
transport over the whole sub
catchment area that feeds the
surface water source
Integrates land use, soil and
climate zone data over the sub
catchment
Current Developments - Nitrates
Surface water Nitrate model - Output
Yearly Spread - Nitrate for Upper Severn
Mean flows (ml/day)
Base flows (ml/day)
Nitrate NO3 conc (mg/l)
30000
35
25
Flow (ml/day)
20000
20
15000
15
10000
10
5000
5
0
0
1
2
3
4
5
6
7
8
9
10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30
Year
Nitrate NO3 Concentration (mg/l)
30
25000
Current Developments - Nitrates
Groundwater Nitrate model
V = volume
N = Nitrate
Store starts with no nitrate or volume
Instant input from model
N1V1
STEP 1
GW Store N1V1 in store
at step end
Becomes
Step 2 start
V and N
N0V0
Output to baseflow
Instant input from model
N2V2
STEP 2
GW Store
N2V2 in store
N1V1
Output to baseflow
at step end
Becomes
Step 3 start
V and N
Instant input from model
N3V3
STEP 3
GW Store
N3V3 in store
at step end
N2V2
Output to baseflow
Current Developments - Nitrates
Groundwater Nitrate model - Output
Yearly Spread - Nitrate for 1km around AMEN CORNER
Weather Data = Current
storage (m³/week)
vol to gwater store (m³/week)
Nitrate N conc in recharge(mg/l)
Nitrate N conc in gwater store (mg/l)
500000
25
450000
400000
20
300000
15
250000
200000
10
150000
100000
5
50000
0
0
1
2
3
4
5
6
7
8
9
10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30
Year
Concentration (mg/l)
Flow (m³/week)
350000
Current Developments – Climate Change
Current
Data
Derivation of Scenario Weather Data
UKCIP02 climate change scenario data
Monthly precipitation and temperature for 30 year timeslice (e.g.
2020’s =2011-2030)
Calculation of simple water balance model
Precipitation – potential evapotranspiration balance to derive
monthly HER. Problems with PET calculation from temperature
Derivation of weekly HER
Distributed corresponding to current patterns within each month
Scenario HER
Weather time-series for each10 weather stations snapped into
CatchIS module
Impact on Pesticide Risk
Maun to Alders sub-catchment
Isoproturon on wheat
Yearly Spread - Isoproturon on Wheat for Maun to Conjure Alders
Weather Data = Current
Mean flows (m³/S)
Base flows (m³/S)
Mean Pesticide conc (ng/l)
Yearly Spread - Isoproturon on Wheat for Maun to Conjure Alders
Weather Data = 2020 - Low Distributed
Peak Pesticide conc (ng/l)
6
Mean flows (m³/S)
160
Base flows (m³/S)
Mean Pesticide conc (ng/l)
Peak Pesticide conc (ng/l)
6
160
140
140
5
5
60
2
100
3
80
60
2
40
1
40
1
20
0
0
1
2
3
4
5
6
7
8
9
10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30
Year
CURRENT
20
0
0
1
2
3
4
5
6
7
8
9
10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30
Year
2020 LO
• Lower mean flows
• Smoothing extreme events
• Likelihood of threshold exceedence slightly increased
Concentration (ng/l)
80
4
Flow (m³/S)
Flow (m³/S)
100
3
120
Concentration (ng/l)
120
4
Current Developments –
Leakage and Asset Management
Pipe failure (Corrosivity, Sharps, Sand and Heave)
Leakage and Asset Management
Leakage management is an important element in the supplydemand balance and AMP for water supply companies.
Progressively leakage has become a political issue and
OFWAT has imposed annual mandatory targets for all water
companies.
Leakage reduction is important in the management of water
supplies and its contribution to the sustainable management of
water resources.
CIWEM’s position
CIWEM recognises the considerable reductions in leakage made by
water companies in recent years.
CIWEM recommends that a Best Available Technique not Entailing
Excessive Cost (BATNEEC) type approach be considered for leakage
target setting within an economic framework.
CIWEM recommends that the ownership of supply pipes be transferred
to the water companies.
CIWEM recommends that in the long term, all water use should be
metered for the purposes of water conservation and more accurate
leakage measurement.
CIWEM supports an holistic approach to leakage control, by
considering the components of leakage and selection of appropriate
policies.
Causes of leakage
Failure in the water mains network
How?
Age of pipe
Diameter of pipe
Source of feed
‘Bus’ loading
Soil Heave potential
Soil Corrosivity potential
How soils affect leakage
Lower corrosivity
Less heave
Higher corrosivity
More heave
How soils affect leakage
Potential areas of development
Erosion risk
Cryptosporidia risk