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i M O D U s e r D a y 2 0 1 9 – D S D - I N T 2 0 1 9
Regional groundwater and geological voxel
models for the Cauca Valley, Colombia
Geoff Zimmel
iMODUserDay2019–DSD-INT2019
2
Cauca River Valley
• 3rd Iteration of a groundwater modelling
program within the Cauca valley
• Joint project between
• CVC, IHE Delft, Deltares
• Regional Groundwater Models
• Better understand the
hydrogeological system
• Many stakeholders in the region with
concerns about climate change
altering groundwater availability
• Voxel model
• Phreatic aquifer protection
• Groundwater Management Plan
iMODUserDay2019–DSD-INT2019
3
iMODUserDay2019–DSD-INT2019
4
Previous Work
• ESCACES 1 & 2
• Hydrogeological model
• Develop the understanding of river –
groundwater interaction
• Monitoring system
• DAGMA
• ESCACES 3
• All focused on water use and the effects
of changing climatic conditions
• Strategy development coupling technical
and social workflows.
ESCACES 1
ESCACES 2
ESCACES 3
PMAA
Cali
iMODUserDay2019–DSD-INT2019
5
QuestionsClimate Change ScenariosVoxel ModelGroundwater ModelOverview
iMODUserDay2019–DSD-INT2019
6
Geology
• Wellbore lithology data availability
• Kh (dark) and Kv (light) shown on the
right
• Depth averaging within the
hydrogeological unit to derive Keq
values → transmissivity and vertical
resistance values
• Values consistent with previous model
versions in the cental and south
models
A1 A2 B C
202 141 115 71
Groundwater Model
• Head levels
• Generally following the surface elevation.
• Higher heads along the east and decreasing
values entering the valley
iMODUserDay2019–DSD-INT2019
7
Groundwater Model
• Groundwater recharge areas
• Flow direction between the A1 and A2 units
• Recharge along in the highlands to the east and
discharge onto the valley floor.
iMODUserDay2019–DSD-INT2019
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Groundwater Model
• Flow lines
• Forward flow lines
• Starting points 1km x 1km spacing
• Release point from the top of the phreatic aquifer
iMODUserDay2019–DSD-INT2019
9
Groundwater Model
• Flow lines
• Reverse flow paths
• Starting points ever 500m along the Cauca
River
• Release point from DEM elevation
• Flow from the river to the recharge location
iMODUserDay2019–DSD-INT2019
10
Groundwater Model
• River Recharge / Discharge
• Cauca River (Predominantly Gaining)
• Most rivers have a combination of gaining and loosing sections
• Only considers the portion in the boundary area
iMODUserDay2019–DSD-INT2019
11
Groundwater Model
• Problems
• Poor observation well spacing for validation
• Infrequent recordings only twice per year
• Lack of drains under urban areas
iMODUserDay2019–DSD-INT2019
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Groundwater Model
• Transient Model
• Built to better understand the relationship
between the wet and dry seasons
• Difference between wet and dry seasons
A1 (left) and A2 (right)
• Negative – dry season levels higher then
wet season
• Positive – wet season levels higher then dry
season levels
iMODUserDay2019–DSD-INT2019
13
Groundwater Model
• Transient
• Positive values greater around pumping
wells
• Indication that there is pumping and
drawdown during the dry season
• Wet season and dry season are noticeable
in time series taken close to the Cauca
River
iMODUserDay2019–DSD-INT2019
14
iMODUserDay2019–DSD-INT2019
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QuestionsClimate Change ScenariosVoxel ModelGroundwater ModelOverview
Voxel Model
• Purpose
• Visualize the lithology distribution
• Used and an input for a aquifer risk
assessment
• 500m x 500m grid size
• Completed using iMOD XYZtoIDF batch
function
• 3 models were generated
1. (unsaturated) Between the surface and gwl
(-5m)
2. (aquifer 1) Between gwl and a constant
depth of 30m below DEM elevation
3. (aquifer 2) Between gwl and top of Layer B
iMODUserDay2019–DSD-INT2019
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Voxel Model
• 3 models were generated
1. (unsaturated) Between the surface and gwl (-5m)
• Voxel depth set at 0.5 meters
• Cutoff originally set at gwl but 5 meters had to be
added to deal with data loss issues.
2. (aquifer 1) Between gwl and a constant depth of
30m below DEM elevation
• Voxel depth set at 10 meters
3. (aquifer 2) Between gwl and top of Layer B
• Voxel depth set at 10 meters
iMODUserDay2019–DSD-INT2019
17
Voxel Model
• 3 models were generated
1. (unsaturated) Between the surface and gwl (-5m)
• Voxel depth set at 0.5 meters
• Cutoff originally set at gwl but 5 meters had to be
added to deal with data loss issues.
2. (aquifer 1) Between gwl and a constant depth of 30m
below DEM elevation
• Voxel depth set at 10 meters
3. (aquifer 2) Between gwl and top of Layer B
• Voxel depth set at 10 meters
iMODUserDay2019–DSD-INT2019
18
iMODUserDay2019–DSD-INT2019
19
QuestionsClimate Change ScenariosVoxel ModelGroundwater ModelOverview
Climate Change Scenarios
• 2 scenarios were identified
• Baseline (2000 -2017 data)
• RCP4.5 (Estimate recharge based on 2040 climate change
predictions)
• RCP4.5 data calculated from data gathered through downscaling
of a global climate change model
• 99 different recharge values were generated for each scenario,
198 new recharge scenarios in total
• Each recharge value was then used as an input to groundwater
models to estimate the effects on groundwater level of changing
climatic (recharge) conditions
• Head levels measured at five comparison points.
• Differences between baseline and RCP4.5 models were
generated at 10th, 50th and 90th percentile values.
iMODUserDay2019–DSD-INT2019
20
Climate Change Scenarios
• Slight changes can be seen throughout the valley
but rarely exceeds +/- 0.5m on the valley floor
• All 4 units see similar results and spatial
variability and relationships
• Average results from all 99 model runs are
represented by p50 values
• Low recharge represented by p10 and higher
recharge by p90
iMODUserDay2019–DSD-INT2019
21
p10 p50 p90
Climate Change Scenarios
iMODUserDay2019–DSD-INT2019
22
• Box plots including all 99 iterations
for Baseline (Left) and RCP4.5(right)
scenarios were calculated at each
location
• Mean values were compared to
understand the potential effects of
climate change as represented by the
models
• Overall the model results showed a
low effect of climate change on
groundwater levels for this area of
interest given the model parameters
iMODUserDay2019–DSD-INT2019
23
Conclusions
• Drawdown from pumping during the dry
season has a much greater effect on local
groundwater levels then climate change
at a single point in time. But…
• The cumulative effects of multiple dry
years (due to climate change) could
greatly reduce water availability in the
valley
• A strong water management plan is a
crucial next step to proper resource
management
iMODUserDay2019–DSD-INT2019
24
QuestionsClimate Change ScenariosVoxel ModelGroundwater ModelOverview

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DSD-INT 2019 Regional groundwater and geological voxel models for the Cauca Valley, Colombia - Zimmel

  • 1. i M O D U s e r D a y 2 0 1 9 – D S D - I N T 2 0 1 9 Regional groundwater and geological voxel models for the Cauca Valley, Colombia Geoff Zimmel
  • 2. iMODUserDay2019–DSD-INT2019 2 Cauca River Valley • 3rd Iteration of a groundwater modelling program within the Cauca valley • Joint project between • CVC, IHE Delft, Deltares • Regional Groundwater Models • Better understand the hydrogeological system • Many stakeholders in the region with concerns about climate change altering groundwater availability • Voxel model • Phreatic aquifer protection • Groundwater Management Plan
  • 4. iMODUserDay2019–DSD-INT2019 4 Previous Work • ESCACES 1 & 2 • Hydrogeological model • Develop the understanding of river – groundwater interaction • Monitoring system • DAGMA • ESCACES 3 • All focused on water use and the effects of changing climatic conditions • Strategy development coupling technical and social workflows. ESCACES 1 ESCACES 2 ESCACES 3 PMAA Cali
  • 6. iMODUserDay2019–DSD-INT2019 6 Geology • Wellbore lithology data availability • Kh (dark) and Kv (light) shown on the right • Depth averaging within the hydrogeological unit to derive Keq values → transmissivity and vertical resistance values • Values consistent with previous model versions in the cental and south models A1 A2 B C 202 141 115 71
  • 7. Groundwater Model • Head levels • Generally following the surface elevation. • Higher heads along the east and decreasing values entering the valley iMODUserDay2019–DSD-INT2019 7
  • 8. Groundwater Model • Groundwater recharge areas • Flow direction between the A1 and A2 units • Recharge along in the highlands to the east and discharge onto the valley floor. iMODUserDay2019–DSD-INT2019 8
  • 9. Groundwater Model • Flow lines • Forward flow lines • Starting points 1km x 1km spacing • Release point from the top of the phreatic aquifer iMODUserDay2019–DSD-INT2019 9
  • 10. Groundwater Model • Flow lines • Reverse flow paths • Starting points ever 500m along the Cauca River • Release point from DEM elevation • Flow from the river to the recharge location iMODUserDay2019–DSD-INT2019 10
  • 11. Groundwater Model • River Recharge / Discharge • Cauca River (Predominantly Gaining) • Most rivers have a combination of gaining and loosing sections • Only considers the portion in the boundary area iMODUserDay2019–DSD-INT2019 11
  • 12. Groundwater Model • Problems • Poor observation well spacing for validation • Infrequent recordings only twice per year • Lack of drains under urban areas iMODUserDay2019–DSD-INT2019 12
  • 13. Groundwater Model • Transient Model • Built to better understand the relationship between the wet and dry seasons • Difference between wet and dry seasons A1 (left) and A2 (right) • Negative – dry season levels higher then wet season • Positive – wet season levels higher then dry season levels iMODUserDay2019–DSD-INT2019 13
  • 14. Groundwater Model • Transient • Positive values greater around pumping wells • Indication that there is pumping and drawdown during the dry season • Wet season and dry season are noticeable in time series taken close to the Cauca River iMODUserDay2019–DSD-INT2019 14
  • 16. Voxel Model • Purpose • Visualize the lithology distribution • Used and an input for a aquifer risk assessment • 500m x 500m grid size • Completed using iMOD XYZtoIDF batch function • 3 models were generated 1. (unsaturated) Between the surface and gwl (-5m) 2. (aquifer 1) Between gwl and a constant depth of 30m below DEM elevation 3. (aquifer 2) Between gwl and top of Layer B iMODUserDay2019–DSD-INT2019 16
  • 17. Voxel Model • 3 models were generated 1. (unsaturated) Between the surface and gwl (-5m) • Voxel depth set at 0.5 meters • Cutoff originally set at gwl but 5 meters had to be added to deal with data loss issues. 2. (aquifer 1) Between gwl and a constant depth of 30m below DEM elevation • Voxel depth set at 10 meters 3. (aquifer 2) Between gwl and top of Layer B • Voxel depth set at 10 meters iMODUserDay2019–DSD-INT2019 17
  • 18. Voxel Model • 3 models were generated 1. (unsaturated) Between the surface and gwl (-5m) • Voxel depth set at 0.5 meters • Cutoff originally set at gwl but 5 meters had to be added to deal with data loss issues. 2. (aquifer 1) Between gwl and a constant depth of 30m below DEM elevation • Voxel depth set at 10 meters 3. (aquifer 2) Between gwl and top of Layer B • Voxel depth set at 10 meters iMODUserDay2019–DSD-INT2019 18
  • 20. Climate Change Scenarios • 2 scenarios were identified • Baseline (2000 -2017 data) • RCP4.5 (Estimate recharge based on 2040 climate change predictions) • RCP4.5 data calculated from data gathered through downscaling of a global climate change model • 99 different recharge values were generated for each scenario, 198 new recharge scenarios in total • Each recharge value was then used as an input to groundwater models to estimate the effects on groundwater level of changing climatic (recharge) conditions • Head levels measured at five comparison points. • Differences between baseline and RCP4.5 models were generated at 10th, 50th and 90th percentile values. iMODUserDay2019–DSD-INT2019 20
  • 21. Climate Change Scenarios • Slight changes can be seen throughout the valley but rarely exceeds +/- 0.5m on the valley floor • All 4 units see similar results and spatial variability and relationships • Average results from all 99 model runs are represented by p50 values • Low recharge represented by p10 and higher recharge by p90 iMODUserDay2019–DSD-INT2019 21 p10 p50 p90
  • 22. Climate Change Scenarios iMODUserDay2019–DSD-INT2019 22 • Box plots including all 99 iterations for Baseline (Left) and RCP4.5(right) scenarios were calculated at each location • Mean values were compared to understand the potential effects of climate change as represented by the models • Overall the model results showed a low effect of climate change on groundwater levels for this area of interest given the model parameters
  • 23. iMODUserDay2019–DSD-INT2019 23 Conclusions • Drawdown from pumping during the dry season has a much greater effect on local groundwater levels then climate change at a single point in time. But… • The cumulative effects of multiple dry years (due to climate change) could greatly reduce water availability in the valley • A strong water management plan is a crucial next step to proper resource management