Pesticide Model – Full Details1 Pesticide Model – Full Details Top Pesticides Runs for Surface...
Transcript of Pesticide Model – Full Details1 Pesticide Model – Full Details Top Pesticides Runs for Surface...
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Pesticide Model – Full Details
Top Pesticides Top Pesticides Runs for Surface Water Catchments and for Ground Water boreholes:
Data export option to Excel:
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SWAT Model SWAT Model -- Top PesticidesTop Pesticides
Catchment based threshold exceedenceCatchment based threshold exceedenceUses either Seasonal exposure or Pesticide specific loadings :
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SWATCATCH ModelSWATCATCH Model
Catchment based threshold exceedence
Groundwater assessment for all Groundwater assessment for all boreholesboreholes
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Groundwater assessment for a Groundwater assessment for a single boreholesingle borehole
Identify Catchment HotIdentify Catchment Hot--Spots:Spots:Ground Water:
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GWAT ModelGWAT Model
Soil, pesticide, climate datag/w resources identified from EA g/wvulnerability mapping and SPZs
Soil leaching model (MACRO)
Attenuation factor model (unsat zone)
‘local’ g/wUsing id for likely g/wresources
aquifersUsing id EA major/minor aquifers
boreholesGrids in SPZ
Identify Catchment HotIdentify Catchment Hot--SpotsSpotsSurface Water:
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SWAT Model SWAT Model -- Catchment HotCatchment Hot--spotsspots
Bespoke Reporting OutputBespoke Reporting Output
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Current Developments
Nitrates, Climate Change, Leakage and AMP
Current Developments Current Developments -- NitratesNitratesSurface water Nitrate model
Calculates the agriculturally-derived 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
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Surface water Nitrate model - Output
Yearly Spread - Nitrate for Upper Severn
0
5000
10000
15000
20000
25000
30000
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
Flow
(ml/d
ay)
0
5
10
15
20
25
30
35
Nitr
ate
NO
3 C
once
ntra
tion
(mg/
l)
Mean flows (ml/day) Base flows (ml/day) Nitrate NO3 conc (mg/l)
Current Developments Current Developments -- NitratesNitrates
Groundwater Nitrate modelV = volumeN = NitrateStore starts with no nitrate or volume
Instant input from model
N1V1
STEP 1GW Store N1V1 in store N0V0 Output to baseflow
at step end
Becomes Instant input from modelStep 2 startV and N
N2V2
STEP 2GW Store N2V2 in store N1V1 Output to baseflow
at step end
Becomes Instant input from modelStep 3 startV and N
N3V3
STEP 3GW Store N3V3 in store N2V2 Output to baseflow
at step end
Current Developments Current Developments -- NitratesNitrates
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Groundwater Nitrate model - Output
Current Developments Current Developments -- NitratesNitrates
Yearly Spread - Nitrate for 1km around AMEN CORNERWeather Data = Current
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50000
100000
150000
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250000
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350000
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500000
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Year
Flow
(m³/w
eek)
0
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15
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25
Con
cent
ratio
n (m
g/l)
storage (m³/week) vol to gwater store (m³/week) Nitrate N conc in recharge(mg/l) Nitrate N conc in gwater store (mg/l)
Current Developments Current Developments –– Climate ChangeClimate Change
CurrentData
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Derivation of Scenario Weather DataDerivation of Scenario Weather DataUKCIP02 climate change scenario data Monthly precipitation and temperature for 30 year timeslice (e.g. 2020’s =2011-2030)
Derivation of weekly HERDistributed corresponding to current patterns within each month
Calculation of simple water balance modelPrecipitation – potential evapotranspiration balance to derive monthly HER. Problems with PET calculation from temperature
Scenario HERWeather time-series for each10 weather stations snapped into CatchIS module
Impact on Pesticide RiskImpact on Pesticide Risk
Yearly Spread - Isoproturon on Wheat for Maun to Conjure AldersWeather Data = Current
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1
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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
Flow
(m³/S
)
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20
40
60
80
100
120
140
160
Con
cent
ratio
n (n
g/l)
Mean flows (m³/S) Base flows (m³/S) Mean Pesticide conc (ng/l) Peak Pesticide conc (ng/l)
Yearly Spread - Isoproturon on Wheat for Maun to Conjure AldersWeather Data = 2020 - Low Distributed
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1
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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
Flow
(m³/S
)
0
20
40
60
80
100
120
140
160
Con
cent
ratio
n (n
g/l)
Mean flows (m³/S) Base flows (m³/S) Mean Pesticide conc (ng/l) Peak Pesticide conc (ng/l)
• Lower mean flows • Smoothing extreme events• Likelihood of threshold exceedence slightly increased
Maun to Alders sub-catchmentIsoproturon on wheat
CURRENT 2020 LO
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Current Developments Current Developments ––Leakage and Asset ManagementLeakage and Asset Management
Pipe failure (Corrosivity, Sharps, Sand and Heave)
Leakage and Asset ManagementLeakage and Asset Management
Leakage management is an important element in the supply-demand 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.
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CIWEMCIWEM’’ss positionposition
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 leakagetarget 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 accurateleakage measurement.
CIWEM supports an holistic approach to leakage control, by considering the components of leakage and selection of appropriate policies.
Causes of leakageCauses 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
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How soils affect leakageHow soils affect leakage
Lower corrosivity Higher corrosivity
Less heave More heave
How soils affect leakageHow soils affect leakage
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Potential areas of developmentPotential areas of development
Erosion risk
Cryptosporidia risk