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This thesis deals with the numerical modeling of the groundwater flow in the Al-Haza Oasis catchment that is located in the Eastern Province of Saudi Arabia.
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Modeling of the Groundwater Flow in the Catchment of the Al-Haza Oasis
and Verification with Isotope Information
Master Thesis
by Saul Montoya
INTRODUCTION
• The Arabian Peninsula lie in the Sahara climate zone
• The Kingdom of Saudi-Arabia is covered by large deserts of rock and sand
• Low precipitation and a very arid climate
• No continuous surface water; existing groundwater filled during the last ice age
• Continuous increase in groundwater extraction
• The groundwater level has fallen dramatically in some areas of the Kingdom
• Sustainable groundwater management and conservation schemes have to be adopted
Groundwater Management
Quantification of the Groundwater Budget
Numerical Groundwater Modeling
STUDY AREA
OBJECTIVES
• Investigation of the groundwater flow patterns in the Hofuf Area and the catchment of the Al Haza Oasis– Numerical 3D finite-difference model – Transient boundary conditions– Calibration with measured head information
• Verification of the flow results with isotope information
• Simulation of continuous extraction till the year 2030
AQUIFER SYSTEM
• Sedimentary formations dipping east-northeast towards the Arabian Gulf
• The dipping of the formations is interrupted by structures
• The thickness of the deeper formations increases to the east
Age Formation Member
QUATERNARY SUPERFICIAL DEPOSITS
TERTIARY
NEOGENE
HOFUF
DAM
HADRUKH
EOCENEDAMMAN
ALAT
KHOBAR
ALVEOLINA LIMESTONE
SAILA SHALE
MIDRA SHALE
RUS
PALAEOCENE UMM ER RADHUMA
CRETACEOUS ARUMA
Generalized Litho-stratigraphic Sequence in Eastern Saudi Arabia
Geological Cross Section
BahrainArabian Gulf
Ghawar Anticline
Global View of the Geological Setting
Hydrogeological Cross Section
Arabian Gulf
Springs Sabkhas
MODEL CONCEPTUALIZATION
• Aquifer system modeled with MODFLOW using the visual interface of GMS
• Transient simulation:– Block Centered Flow Package (BCF)– Strong Implicit Procedure Solver (SIP)
• 200 iterations per time step• Acceleration parameter: 0.07
– Rewetting of dry cells is allowed
VERTICAL AND HORIZONTAL DISCRETIZATION
• 5 layers in the vertical direction
• Square mesh of 148 rows and 225 columns, uniform grid size of 2km x 2km
2 Km
2 Km
TIME DISCRETIZATION
• The transient simulation starts from the last glaciation to December 2005
• 120 stress periods, of different lengths and with different numbers of time steps
Stress Period Interval
Time Steps per Str. Period
Stress Period Duration
Interval Duration
1 to 50 8 200 years 10000 years
50 to 54 1 10 years 40 years
55 to 120 1 1 year 65 years
HORIZONTAL BOUNDARY CONDITIONS
INNER BOUNDARY CONDITONS
-
10.00
20.00
30.00
40.00
50.00
60.00
70.00
-8000 -7000 -6000 -5000 -4000 -3000 -2000 -1000 0 1000 2000
Year
Rec
har
ge
rate
(m
m/y
ear)
• Recharge
• Initial Heads
-60
-50
-40
-30
-20
-10
0
1940 1950 1960 1970 1980 1990 2000
YEAR
PU
MP
ING
RA
TE (m
3/s)
• Evapotranspiration
• Springs´ Conductance
• Well Abstraction
MODEL CALIBRATION
• Trial-and-error parameter estimation
• Calibrated model parameters:– Transmissivity– Hydraulic conductivity– Storage coefficient– Leakance
• Geological structures and flow patterns were taken as indirect indicators
COMPARISON WITH OBSERVED DATA
•Neogene aquifer:
40
50
60
70
80
90
100
110
120
130
140
150
160
1940 1950 1960 1970 1980 1990 2000
YEARW
AT
ER
HE
AD
(m
.)
HC-4-N - ComputedHC-4-N - Observed
70
80
90
100
110
120
130
140
150
160
1940 1950 1960 1970 1980 1990 2000
YEAR
WA
TE
R H
EA
D (
m.)
HD-2-N - Computed
HD-2-N - Observed
•Damman aquifer:
-40
-20
0
20
40
60
80
100
120
140
160
1940 1950 1960 1970 1980 1990 2000
YEAR
WA
TE
R H
EA
D (
m.)
HC-5-K - ComputedHC-5-K - Observed
0
20
40
60
80
100
120
140
160
1940 1950 1960 1970 1980 1990 2000
YEAR
WA
TE
R H
EA
D (
m.)
HH-2-K - Computed
HH-2-K - Observed
•Umm Er Radhuma Aquifer
-100
102030405060708090
100110120130140150160170180190200210
1940 1950 1960 1970 1980 1990 2000
YEAR
WA
TE
R H
EA
D E
LEV
AT
ION
(m
.)
H-14-U - ComputedH-14-U - Observed
-100
102030405060708090
100110120130140150160170180190200210
1940 1950 1960 1970 1980 1990 2000
YEAR
WA
TE
R H
EA
D E
LEV
AT
ION
(m
.)
HH-3-U - ComputedHH-3-U - Observed
COMPARISON WITH MEASURED DRAIN DISCHARGE
•Computed discharge in Al-Hasa Oasisin 1900: 4.07m3/s
•Measured outflow in 1900: 10m3/s
•Several approaches of transmissivities and leakance distribution were done
•Total evapotranspiration in the Neogene: 7.25m3/s
CALIBRATION ANALYSIS
• Aquifer system is multilayered and interconnected
• Modeling and calibration part was intensive; however, more runs have to be done
• Quality of the results cannot be better than the quality of the input data
• Discrepancies are minor, computed heads match reasonably the observed heads
ANALISYS OF FLOW RESULTS
40
50
60
70
80
90
100
110
120
130
140
150
160
1940 1950 1960 1970 1980 1990 2000
YEAR
Wat
er
He
ad (
m.)
HD-5-NEOGENE
HD-5-DAMMAN
HD-5-UMM ER RADHUMA
30
40
50
60
70
80
90
100
110
120
130
140
150
1940 1950 1960 1970 1980 1990 2000
YEAR
WA
TE
R H
EA
D (
m.)
HH-2-NEOGENEHH-2-DAMMANHH-2-UMM ER RADHUMA
WATER BALANCE Flow Rates (m3/s) 1900 2005
NEOGENE AQUIFER Recharge elements
By rainfall 9,98 5,59By saline water intrusion 0,03 5,49By upward flow from Damman Aquifer 4,51 0,43
Change in storage 0,59 11,84Discharge elements
By drainage in the Al Hasa Oasis 4,07 0By downward flow to Damman Aquifer 1,71 14,29By well abstraction 0 6,24By evapotranspiration 7,25 2,21By submarine springs 2,1 0,61
DAMMAN AQUIFER Recharge elements:
By downward flow from Neogene Aquifer 1,71 14,29By rainfall 2,2 1,55By upward flow from Umm Er Radhuma Aquifer 2,3 0,4By saline water intrusion 0,01 0,12
Change in storage 0,01 0,64Discharge elements:
By well abstraction 0 8,81By downward flow to Umm Er Radhuma Aquifer 0,81 7,18By upward flow to Neogene Aquifer 4,51 0,43By evapotranspiration 0,53 0,37By submarine springs 0,37 0,22
Flow Rates (m3/s) 1900 2005
UMM ER RADHUMA AQUIFER Recharge elements
By upward flow from Aruma Aquifer 1,95 9,01By downward flow from Damman Aquifer 0,81 7,38By rainfall 1,47 0,86
Change in storage 0,12 23,13Discharge elements
Well abstraction 0 39.21By downward flow to Aruma Aquifer 1,35 1,09By upward flow to Damman Aquifer 2,31 0,35By evapotranspiration 0,70 0,11
ARUMA AQUIFER Recharge elements:
By downward flow from Umm Er Radhuma Aquifer 1,35 1,09By rainfall 0,62 0,36
Change in storage 0,03 7,60Discharge elements:
By upward flow to Umm Er Radhuma Aquifer 1,95 9,01
COMPARISON WITH ISOTOPE INFORMATION
• Isotope investigation can give information about groundwater sources, ages, travel times and flow paths
• Isotope investigation has been done in the Al Qatif and Al Haza Oasis
STABLE ISOTOPE INFORMATION
-50
-40
-30
-20
-10
0
10
-9 -7 -5 -3 -1 1
δ18O 0/00
δD
0/0
0
Al Hasa
Al Qatif
δ2H = 8. δ18O + 10 c
Relationship between δD and δ18O
RADIOACTIVE ISOTOPE INFORMATION
•Water samples of the Al Qatif Oasis have a 14C age of >22000 years
•In the Al Haza Oasis the two samples give a 14C age of >33000 years
Tritium content in Al Qatif and Al Hasa waters
Al Qatif Oasis Al Hasa OasisSample Number 3H content (TU) Location 3H content (TU)
126 <0.8 24 <0.7127 <0.8 25 <2.6128 <2.3 26 <2.3129 <0.9 27 <2.5 130 <2.3 28 <0.5131 <2.7 29 <2.5133 <2.7 30 <1.2141 <0.9 31 <2.8143 <2.2 32 <0.9125 <2.7
PARTICLE TRACKING SIMULATION
PARTICLE AAGE: 6000 YEARS
PARTICLE BAGE: 1000 YEARS
PARTICLE DAGE: 2500 YEARS
PARTICLE CAGE: 1000 YEARS
Cross Section following the Tracking of Particle A – Al Haza
WATER COMMING FROM THE ARUMA AQUIFERAGE: 6000 YEARS
t = 0
t = 1000 y.
t = 2000 y.
t = 3000 y.t = 4000 y.
t = 5000 y.t = 6000 y.
t = 0
WATER COMMING FROM THE NEOGENE AQUIFERAGE: 1000 YEARS
t = 1000y.
Cross Section following the Tracking of Particle B – Al Haza
WATER COMMING FROM THE DAMMAN AQUIFERAGE: 2500 YEARS
t = 0
t = 1000 y.t = 2000 y. t = 2500 y.
WATER COMMING FROM THE NEOGENE AQUIFERAGE: 1000 YEARS
t = 1000 y.
t = 0
Cross Section following the Tracking of Particle C – Al Qatif
Cross Section following the Tracking of Particle D – Al Qatif
SIMULATION OF CONTINUOUS ABSTRACTION• Impact of actual groundwater extraction till
2030
-50
-25
0
25
50
75
100
125
150
1940 1960 1980 2000 2020
WA
TE
R L
EV
EL
EL
EV
AT
ION
(m
.)
HC-4-N (NEOGENE)
HC-5-K (DAMMAN)
HC-5-U (UMM ER RADHUMA)
2005
Heads distribution in the Umm Er Radhuma
2030
WASA WELLFIELD
2005
WASA WELLFIELD
CONCLUSIONS
• The industrial, domestic and agricultural activities make the aquifer system overexploited
• Flow takes place in the horizontal and vertical direction, allowing exchange between aquifers
• Use of indirect and direct indicators is essential to asses the preferential flow directions
• The model can represent the groundwater flow in the catchment of the Al Hasa Oasis.
• It was corroborated that the aquifer system was in steady state in 1900
• Some factors could be improved to get a better conceptualization of the aquifer system
• The reliability of this simulation depends on the quality of the abstraction data that has some uncertainties
• From the prognostic scenario, the current pumping rates will deplete the whole aquifer system by 2030
• It might be that the study area does not cover the whole extension of the Al Hasa catchment
• Isotope information confirms the modeling accuracy in the Al Hasa Oasis; although in the coastal region, there is a need to improve the calibration
Modeling of the Groundwater Flow in the Catchment of the Al-Haza Oasis
and Verification with Isotope Information
Master Thesis
by Saul Montoya