DSD-INT 2020 Lake Turnover Assessments using Delft3D and SOBEK - van MegchelenDeltares
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DSD-INT 2019 ShorelineS and future coastline modelling - RoelvinkDeltares
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DSD-INT 2020 Using Delft3D to model mechanical and tidal flushing rates in Co...Deltares
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DSD-INT 2020 Real Time Hydrologic, Hydraulic and Water Quality Forecasting in...Deltares
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DSD-INT 2017 Groundwater in Global Hydrology - BierkensDeltares
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DSD-INT 2020 Lake Turnover Assessments using Delft3D and SOBEK - van MegchelenDeltares
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DSD-INT 2019 ShorelineS and future coastline modelling - RoelvinkDeltares
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DSD-INT 2021 Impact of Desalination and Climate Change on Salinity levels in ...Deltares
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Groundwater models are simplified representation of large and real hydrogeologic systems like river basins or watersheds. GWM is attempted to analyse the mechanisms which control the occurrence and movement of groundwater and to evaluate the policies, actions and designs which may affect the systems. These models are less complex prototypes of complex hydrogeologic systems developed using spatially varying aquifer parameters, hydrologic properties, geologic boundary conditions and positions of withdrawal wells or recharging structures. These are designed to compute how pumping or recharge might affect the local or regional groundwater levels.
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Provided by NC State University
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Urban Stormwater Management, BAE
208 Weaver Labs, Box 7625
Raleigh, NC 27695-7625
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To learn more visit us at http://www.earthfx.com/
Slide 33 video link https://www.youtube.com/watch?v=q95Zzt029E4
Slide 35 video link https://www.youtube.com/watch?v=v6siBetQgBI
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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
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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
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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.
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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
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p10 p50 p90
22. Climate Change Scenarios
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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
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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