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The impact of soils and changing environment on buried water infrastructure
Oliver Pritchard Doctoral Researcher, Cranfield University
PhD Supervisors: Dr. Stephen Hallett and Dr. Timothy Farewell 9th September 2014, AGI Asset management (Water) SIG
UK Soil Variability
UK Soils vary in many ways: Texture (sand, silt clay %) Stoniness Organic content Depth to rock Mineralogy Permeability Natural drainage Consolidation etc.
Over 700 types in UK!
Climatic Data
Hor
izon
D
epth
(cm
)
San
d %
Silt
%
Cla
y %
pH Org
anic
Car
bon
(wt%
)
Bul
k D
ensi
ty
(g/c
m3)
Part
icle
D
ensi
ty
(g/c
m3)
Tota
l Po
rosi
ty (
%)
Wat
er
Con
tent
at
5kPa
; (F
ield
Cap
acity)
Brief
D
escr
iption
of
Hor
izon
0 to 25 20 35 45 7.5 3.1 1.15 2.6 55.8 45.1 Dark greyish brown, stoneless clay; calcareous.
25 to 50 12 28 60 7.9 1.3 1.27 2.63 51.7 46.7 Olive brown, slightly mottled, stoneless clay; moderate
medium subangular blocky structure; calcareous.
50 to 75 7 35 58 8 0.6 1.36 2.64 48.5 45.4 Light olive brown, slightly mottled, stoneless clay; strong
medium angular blocky structure; calcareous.
75 to 150 8 34 58 8.3 0.4 1.4 2.64 47 44.5 Grey, slightly mottled, stoneless clay; massive structure;
calcareous.
Field Records
Soil Maps
Soil characterisation
LandIS The Land Information System
Corrosion Potential
Shrink-swell
potential
www.landis.org.uk
Sand-Washout
Lab analysis
Soil corrosivity
• Number of soil processes which contribute to corrosion
• LEACS – Leakage
assessment from corrosivity and shrinkage
• Provides corrosion risk and likelihood of shrink-swell in a GIS format.
LegendNATMAPleacsCORR_FE
1
2
3
3*
4
4*
5
5*
6
Clay shrink/swell
• Parent material substrate type (defines conditions at pipe/foundation depth, 1.0-1.5m)
• Clayey substrates classed on relationship between bulk density and volumetric shrinkage
• Non-clay substrates classed on relative shrinkability
• Six classes of soil shrink/swell combine with six PSMD (potential soil moisture deficit) bands to give nine vulnerability classes
Natural Perils Directory: Clay-related subsidence = soil factors + climate perturbation model
Ext high
Negligible
Potential Soil Moisture Deficit
Soil Shrink Swell
Provides 9 classes of combined vulnerability
Perturba;ons
+
+ -‐
Vegetation Adjusted Soil Moisture Deficit or
Breaks per month (2005-2012) by soil-shrink-swell potential
Low-‐risk soils – Washout/freezing events?
Peaks in high and very-‐high risk soils – evidence of swelling clays?
Clay shrinkage
Infrastructure Transitions Research Consortium Research
• £5 million EPSRC-funded research project incorporating 8 Universities
• Informing the analysis, planning and design of national infrastructure, through the development and demonstration of new decision support tools.
• This doctoral research sits within ITRC’s Work Stream 2: ‘Understanding the future risks to UK infrastructure networks’
• Cranfield undertaking probabilistic mapping of subsidence at case-
study and UK scale and establishing future risk to infrastructure.
www.itrc.org.uk
Are we ready for [climatic] change?
• Current geohazard models use baseline climatic data • Long-life span of water infrastructure requires a long-term strategic view
(Tran et al. 2014)
• Therefore, there is a need for probabilistic models….
• UK Climate Projections (UKCP09) suggest that the UK is likely to experience;
§ Hotter, drier summers § Warmer, wetter winters § Resulting in up to a 20-40% soil moisture loss – promoting shrink/
swell activity in prone soils
How are extremes and future climate change currently assessed in NPD?
• Mean maximum PSMD considered as ‘average conditions’
• Mean varied by addition of standard deviations (SD)
• Return periods include: – Standard year – 1 in 3 – 1 in 6 – 1 in 15 – 1 in 45 – 1 in 150
Monthly and annual summary values and sta;s;cs; Soil moisture deficit, Soil moisture surplus, Rain, Poten;al Evapotranspira;on
Processing UKCP09 data – Soil Moisture Deficit Scenarios
1,000 x 30 years daily data
1,000 x 30 years: monthly and annual values; Soil Moisture Deficit, Soil Moisture Surplus, Rain, Poten;al Evapotranspira;on
Raw data
Output data
Summary data
Soils Data
Mapping and Interpola;on
Risk -‐ Analysis Infrastructure Data
~10,000 5km grid cells within UK – for each cell, per scenario, ~1.2GB of data is produced!
UKCP09 Weather Generator – Accumulated Potential Soil Moisture Deficit (PSMD)
Combining Potential Soil Moisture Deficit (PSMD) and Soils data
Soil SSWELL value
Probabilis;c es;ma;on of clay subsidence risk
Probabilis;c Accumulated PSMD value
High-‐risk soils
Low-‐risk soils
Drier
We`er
Current clay subsidence risk for Lincolnshire
LegendLincs_2050_NPD
<all other values>
Clay Subsidence RiskExtremely Low
Very Low
Low
Medium Low
Medium
Medium High
High
Very High
Extremely High
2050 clay subsidence risk (10th Percentile)
LegendLincs_2050_NPD
<all other values>
Clay Subsidence RiskExtremely Low
Very Low
Low
Medium Low
Medium
Medium High
High
Very High
Extremely High
2050 clay subsidence risk (50th percentile)
LegendLincs_2050_NPD
<all other values>
Clay Subsidence RiskExtremely Low
Very Low
Low
Medium Low
Medium
Medium High
High
Very High
Extremely High
2050 clay subsidence risk (90th Percentile)
The story so far: high subsidence risk and more leaks to come….??
Conclusions
• UK water infrastructure currently faces risks from a range of specific soil-related geohazards.
• UK water infrastructure is especially at risk from
future climate change and clay-related subsidence (Pritchard et al. (2014))
• UKCP09 probabilistic projections have been
combined with clay-subsidence model to provide future risk scenarios.
• Probabilistic geohazard models can aid the asset management of the UK water network
bbc.co.uk
Acknowledgements
• Anglian Water • EPSRC / ITRC – Doctoral research funding
• Further Info on soil-related geohazards and infrastructure: http://www.itrc.org.uk/outputs/publications/#geohazards
• Soils information and datasets: http://www.landis.org.uk