SlideShare a Scribd company logo
1 of 37
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

                Quantification of     Numerical
Groundwater
                the Groundwater       Groundwater
Management
                Budget                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
                                                         

                                        HOFUF            

                     NEOGENE            DAM              

                                      HADRUKH            

                                                                   ALAT

                                                                 KHOBAR 
TERTIARY                              DAMMAN                ALVEOLINA LIMESTONE
                     EOCENE
                                                               SAILA SHALE 

                                                               MIDRA SHALE

                                         RUS             

                    PALAEOCENE     UMM ER RADHUMA
                                                         

           CRETACEOUS                  ARUMA 
                                                         




    Generalized Litho-stratigraphic Sequence in
               Eastern Saudi Arabia
Bahrain
                                     Arabian Gulf




    Ghawar Anticline




Geological Cross Section
Global View of the Geological Setting
Springs   Sabkhas



                                   Arabian Gulf




Hydrogeological Cross Section
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    Time Steps per Str.    Stress Period     Interval  
      Interval            Period             Duration       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
• Initial Heads
• Recharge
                                 70.00



                                 60.00



                                 50.00
       Recharge rate (mm/year)




                                 40.00



                                 30.00



                                 20.00



                                 10.00



                                   -
                                       -8000   -7000   -6000   -5000   -4000   -3000   -2000   -1000   0   1000   2000
                                                                               Year
• Evapotranspiration
• Well Abstraction
                             -60



                             -50



                             -40
       PUMPING RATE (m3/s)




                             -30



                             -20



                             -10

                              1940   1950   1960   1970     1980   1990   2000
                              0
                                                     YEAR



• Springs´ Conductance
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
160

                                      150

COMPARISON WITH OBSERVED DATA         140                                                                 HC-4-N - Computed
                                      130                                                                 HC-4-N - Observed

                                      120




                    WATER HEAD (m.)
•Neogene aquifer:                     110

                                      100

                                          90

                                          80

                                          70
                                                        160
                                          60

                                          50 150

                                          40 140
                                           1940                 1950      1960     1970          1980      1990        2000
                                                        130                          YEAR
                                      WATER HEAD (m.)

                                                        120

                                                        110

                                                        100

                                                        90
                                                                                                   HD-2-N - Computed
                                                                                                   HD-2-N - Observed
                                                        80

                                                        70
                                                         1940      1950     1960     1970          1980       1990       2000
                                                                                          YEAR
160                                                        160

                  140
                                                                             140

                  120

                  100   •Damman aquifer:                                     120




                                                           WATER HEAD (m.)
WATER HEAD (m.)




                                                                             100
                  80

                  60                                                         80

                  40                                                         60
                                                                                                                       HH-2-K - Computed
                  20                                                                                                   HH-2-K - Observed
                                                                             40
                   0
                           HC-5-K - Computed
                           HC-5-K - Observed                                 20
                  -20

                  -40                                                         0
                    1940    1950      1960     1970     1980                  1940
                                                                                1990   1950
                                                                                         2000   1960   1970     1980         1990          2000
                                                 YEAR                                                    YEAR
210
                            210                                                            200
                            200                                                            190
                            190                                                            180
                            180                                                            170                                           HH-3-U - Computed
                                                                                           H-14-U - Computed
                                •Umm Er Radhuma Aquifer
                            170                                                            160




                                                               WATER HEAD ELEVATION (m.)
                                                                                           H-14-U - Observed                             HH-3-U - Observed
                            160                                                            150
WATER HEAD ELEVATION (m.)




                            150                                                            140
                            140                                                            130
                            130                                                            120
                            120                                                            110
                            110                                                            100
                            100                                                             90
                             90                                                             80
                             80                                                             70
                             70                                                             60
                             60                                                             50
                             50                                                             40
                             40                                                             30
                             30                                                             20
                             20                                                             10
                             10                                                              0
                              0                                                            -10
                            -10                                                               1940        1950    1960   1970     1980      1990      2000
                              1940   1950   1960   1970     1980                               1990        2000
                                                                                                                           YEAR
                                                     YEAR
COMPARISON WITH MEASURED DRAIN
DISCHARGE

•Computed discharge in Al-Hasa Oasis
 in 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
160                                               150

                  150
                  140     ANALISYS OF FLOW RESULTS                  140
                                                                    130

                  130                                               120
                                                                    110




                                                  WATER HEAD (m.)
                  120
Water Head (m.)




                  110                                               100

                  100                                               90

                  90                                                80
                                                                               HH-2-NEOGENE
                  80                                                70         HH-2-DAMMAN
                            HD-5-NEOGENE
                                                                    60         HH-2-UMM ER RADHUMA
                  70        HD-5-DAMMAN
                  60        HD-5-UMM ER RADHUMA                     50

                  50                                                40

                  40                                                30
                   1940    1950     1960      1970                   1940
                                                                        1980    1950
                                                                                   1990   1960
                                                                                             2000    1970     1980   1990   2000
                                                  YEAR                                                 YEAR
WATER BALANCE
                                                    Flow Rates (m3/s)
                                                       1900      2005

 NEOGENE AQUIFER
 Recharge elements
       By rainfall                                    9,98       5,59
       By saline water intrusion                      0,03       5,49
       By upward flow from Damman Aquifer             4,51       0,43
 Change in storage                                    0,59      11,84
 Discharge elements
       By drainage in the Al Hasa Oasis               4,07          0
       By downward flow to Damman Aquifer             1,71      14,29
       By well abstraction                               0       6,24
       By evapotranspiration                          7,25       2,21
       By submarine springs                            2,1       0,61

 DAMMAN AQUIFER
 Recharge elements:
       By downward flow from Neogene Aquifer          1,71      14,29
       By rainfall                                     2,2       1,55
       By upward flow from Umm Er Radhuma Aquifer      2,3        0,4
       By saline water intrusion                      0,01       0,12
 Change in storage                                    0,01       0,64
 Discharge elements:
       By well abstraction                               0       8,81
       By downward flow to Umm Er Radhuma Aquifer     0,81       7,18
       By upward flow to Neogene Aquifer              4,51       0,43
       By evapotranspiration                          0,53       0,37
       By 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       9,01
      By downward flow from Damman Aquifer             0,81       7,38
      By rainfall                                      1,47       0,86
Change in storage                                      0,12      23,13
Discharge elements
      Well abstraction                                    0      39.21
      By downward flow to Aruma Aquifer                1,35       1,09
      By upward flow to Damman Aquifer                 2,31       0,35
      By evapotranspiration                            0,70       0,11

ARUMA AQUIFER
Recharge elements:
      By downward flow from Umm Er Radhuma Aquifer     1,35       1,09
      By rainfall                                      0,62       0,36
Change in storage                                      0,03       7,60
Discharge 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
                                       Relationship between δD and δ18O

                                                                          10



                                                                           0
            -9              -7        -5               -3           -1          1

                                                                          -10
                 Al Hasa
  δD 0/00




                 Al Qatif                                                 -20
                                                            c
                 δ2H = 8. δ18O + 10

                                                                          -30



                                                                          -40



                                                                          -50
                                           δ18O 0/00



            Relationship between δD and δ18O
RADIOACTIVE ISOTOPE INFORMATION

•Water samples of the Al Qatif Oasis have a
 14
   C age of >22000 years

•In the Al Haza Oasis the two samples give a
 14
   C age of >33000 years
                Al Qatif Oasis                   Al Hasa Oasis
      Sample Number      3
                          H content (TU)   Location      3
                                                          H content (TU)
           126                 <0.8           24               <0.7
           127                 <0.8           25               <2.6
           128                 <2.3           26               <2.3
           129                 <0.9           27              <2.5
           130                 <2.3           28               <0.5
           131                 <2.7           29               <2.5
           133                 <2.7           30               <1.2
           141                 <0.9           31               <2.8
           143                 <2.2           32               <0.9
           125                 <2.7

        Tritium content in Al Qatif and Al
                  Hasa waters
PARTICLE TRACKING SIMULATION



                       PARTICLE D
                       AGE: 2500 YEARS




                                PARTICLE C
                                AGE: 1000 YEARS




     PARTICLE A
     AGE: 6000 YEARS




                                            PARTICLE B
                                            AGE: 1000 YEARS
t=0                   WATER COMMING FROM
                           THE ARUMA AQUIFER
                           AGE: 6000 YEARS

           t = 1000 y.




                                                                     t = 5000 y.
                         t = 2000 y.                                               t = 6000 y.
                                                     t = 4000 y.
                                       t = 3000 y.




Cross Section following the Tracking of Particle A – Al Haza



                         WATER COMMING FROM
                         THE NEOGENE AQUIFER
                         AGE: 1000 YEARS




                t=0




                                                                   t = 1000y.




Cross Section following the Tracking of Particle B – Al Haza
WATER COMMING FROM
                                    THE NEOGENE AQUIFER
                                    AGE: 1000 YEARS


        t=0

                                                               t = 1000 y.




Cross Section following the Tracking of Particle C – Al Qatif



        t= 0                         WATER COMMING FROM
                                     THE DAMMAN AQUIFER
                                     AGE: 2500 YEARS




                      t = 1000 y.
                                                 t = 2000 y.        t = 2500 y.




Cross Section following the Tracking of Particle D – Al Qatif
SIMULATION OF CONTINUOUS
ABSTRACTION
• Impact of actual groundwater extraction till
  2030
                                                                          2005
                                     150


                                     125
        WATER LEVEL ELEVATION (m.)




                                     100


                                     75


                                     50


                                     25
                                              HC-4-N (NEOGENE)
                                      0
                                              HC-5-K (DAMMAN)

                                     -25      HC-5-U (UMM ER RADHUMA)


                                     -50
                                       1940       1960           1980   2000     2020
Heads distribution in
2005                      the Umm Er Radhuma



       WASA
       WELLFIELD




                   2030



                                  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

More Related Content

Viewers also liked

Sesion2_3 Estudios, conceptos y ejemplos internacionales
Sesion2_3 Estudios, conceptos y ejemplos internacionalesSesion2_3 Estudios, conceptos y ejemplos internacionales
Sesion2_3 Estudios, conceptos y ejemplos internacionalesGidahatari Agua
 
Sesion1_3b Ejemplos internacionales de Programas de Monitoreo
Sesion1_3b Ejemplos internacionales de Programas de Monitoreo Sesion1_3b Ejemplos internacionales de Programas de Monitoreo
Sesion1_3b Ejemplos internacionales de Programas de Monitoreo Gidahatari Agua
 
Guía de traducción de términos del agua
Guía de traducción de términos del aguaGuía de traducción de términos del agua
Guía de traducción de términos del aguaGidahatari Agua
 
Gidahatari curso he_m_4x-estimacion-de-recarga-en-acuiferos_v2
Gidahatari curso he_m_4x-estimacion-de-recarga-en-acuiferos_v2Gidahatari curso he_m_4x-estimacion-de-recarga-en-acuiferos_v2
Gidahatari curso he_m_4x-estimacion-de-recarga-en-acuiferos_v2Gidahatari Agua
 
Conceptos karst, manatiales,trazadores
Conceptos karst, manatiales,trazadoresConceptos karst, manatiales,trazadores
Conceptos karst, manatiales,trazadoresGidahatari Agua
 
diseño de red de monitoreo
diseño de red de monitoreodiseño de red de monitoreo
diseño de red de monitoreoGidahatari Agua
 
Sesion1-4bMetales traza y Estudios de minería relacionados
Sesion1-4bMetales traza y Estudios de minería relacionadosSesion1-4bMetales traza y Estudios de minería relacionados
Sesion1-4bMetales traza y Estudios de minería relacionadosGidahatari Agua
 
Sesion 1-3a Estudio de caso- Programa de Monitoreo
Sesion 1-3a Estudio de caso- Programa de MonitoreoSesion 1-3a Estudio de caso- Programa de Monitoreo
Sesion 1-3a Estudio de caso- Programa de MonitoreoGidahatari Agua
 
PROBLEMAS INTERNACIONALES DE LOS RECURSOS HIDRICOS
PROBLEMAS INTERNACIONALES DE LOS RECURSOS HIDRICOSPROBLEMAS INTERNACIONALES DE LOS RECURSOS HIDRICOS
PROBLEMAS INTERNACIONALES DE LOS RECURSOS HIDRICOSGidahatari Agua
 
MODELAMIENTO DEL REGIMEN DE AGUAS SUBTERRANEA EN LA CUENCA DEL OASIS AL-HAZA ...
MODELAMIENTO DEL REGIMEN DE AGUAS SUBTERRANEA EN LA CUENCA DEL OASIS AL-HAZA ...MODELAMIENTO DEL REGIMEN DE AGUAS SUBTERRANEA EN LA CUENCA DEL OASIS AL-HAZA ...
MODELAMIENTO DEL REGIMEN DE AGUAS SUBTERRANEA EN LA CUENCA DEL OASIS AL-HAZA ...Gidahatari Agua
 
Session2-1 Otros constituyentes de la Calidad del Agua
Session2-1 Otros constituyentes de la Calidad del AguaSession2-1 Otros constituyentes de la Calidad del Agua
Session2-1 Otros constituyentes de la Calidad del AguaGidahatari Agua
 
Desafios en la gestion integrada del agua
Desafios en la gestion integrada del agua Desafios en la gestion integrada del agua
Desafios en la gestion integrada del agua Gidahatari Agua
 
Diseno sistemas de monitoreo
Diseno sistemas de monitoreoDiseno sistemas de monitoreo
Diseno sistemas de monitoreoGidahatari Agua
 
Flujo entre agua subterranea y lagunas
Flujo entre agua subterranea y lagunasFlujo entre agua subterranea y lagunas
Flujo entre agua subterranea y lagunasGidahatari Agua
 
Sesion2_4 Estudios, Ejemplos y Casos internacionales
Sesion2_4 Estudios, Ejemplos y Casos internacionalesSesion2_4 Estudios, Ejemplos y Casos internacionales
Sesion2_4 Estudios, Ejemplos y Casos internacionalesGidahatari Agua
 
Mitigacion y control del drenaje de acido de rocas
Mitigacion y control del drenaje de acido de rocasMitigacion y control del drenaje de acido de rocas
Mitigacion y control del drenaje de acido de rocasGidahatari Agua
 
Caracterizacion Hidrogeologica de Karst
Caracterizacion Hidrogeologica de KarstCaracterizacion Hidrogeologica de Karst
Caracterizacion Hidrogeologica de KarstGidahatari Agua
 

Viewers also liked (20)

Sesion2_3 Estudios, conceptos y ejemplos internacionales
Sesion2_3 Estudios, conceptos y ejemplos internacionalesSesion2_3 Estudios, conceptos y ejemplos internacionales
Sesion2_3 Estudios, conceptos y ejemplos internacionales
 
Sesion1_3b Ejemplos internacionales de Programas de Monitoreo
Sesion1_3b Ejemplos internacionales de Programas de Monitoreo Sesion1_3b Ejemplos internacionales de Programas de Monitoreo
Sesion1_3b Ejemplos internacionales de Programas de Monitoreo
 
Guía de traducción de términos del agua
Guía de traducción de términos del aguaGuía de traducción de términos del agua
Guía de traducción de términos del agua
 
Gidahatari curso he_m_4x-estimacion-de-recarga-en-acuiferos_v2
Gidahatari curso he_m_4x-estimacion-de-recarga-en-acuiferos_v2Gidahatari curso he_m_4x-estimacion-de-recarga-en-acuiferos_v2
Gidahatari curso he_m_4x-estimacion-de-recarga-en-acuiferos_v2
 
Conceptos karst, manatiales,trazadores
Conceptos karst, manatiales,trazadoresConceptos karst, manatiales,trazadores
Conceptos karst, manatiales,trazadores
 
diseño de red de monitoreo
diseño de red de monitoreodiseño de red de monitoreo
diseño de red de monitoreo
 
Sesion1-4bMetales traza y Estudios de minería relacionados
Sesion1-4bMetales traza y Estudios de minería relacionadosSesion1-4bMetales traza y Estudios de minería relacionados
Sesion1-4bMetales traza y Estudios de minería relacionados
 
Sesion 1-3a Estudio de caso- Programa de Monitoreo
Sesion 1-3a Estudio de caso- Programa de MonitoreoSesion 1-3a Estudio de caso- Programa de Monitoreo
Sesion 1-3a Estudio de caso- Programa de Monitoreo
 
PROBLEMAS INTERNACIONALES DE LOS RECURSOS HIDRICOS
PROBLEMAS INTERNACIONALES DE LOS RECURSOS HIDRICOSPROBLEMAS INTERNACIONALES DE LOS RECURSOS HIDRICOS
PROBLEMAS INTERNACIONALES DE LOS RECURSOS HIDRICOS
 
MODELAMIENTO DEL REGIMEN DE AGUAS SUBTERRANEA EN LA CUENCA DEL OASIS AL-HAZA ...
MODELAMIENTO DEL REGIMEN DE AGUAS SUBTERRANEA EN LA CUENCA DEL OASIS AL-HAZA ...MODELAMIENTO DEL REGIMEN DE AGUAS SUBTERRANEA EN LA CUENCA DEL OASIS AL-HAZA ...
MODELAMIENTO DEL REGIMEN DE AGUAS SUBTERRANEA EN LA CUENCA DEL OASIS AL-HAZA ...
 
Session2-1 Otros constituyentes de la Calidad del Agua
Session2-1 Otros constituyentes de la Calidad del AguaSession2-1 Otros constituyentes de la Calidad del Agua
Session2-1 Otros constituyentes de la Calidad del Agua
 
geomecanica de rocas
geomecanica de rocasgeomecanica de rocas
geomecanica de rocas
 
Modelmuse en 5min
Modelmuse en 5minModelmuse en 5min
Modelmuse en 5min
 
Desafios en la gestion integrada del agua
Desafios en la gestion integrada del agua Desafios en la gestion integrada del agua
Desafios en la gestion integrada del agua
 
Diseno sistemas de monitoreo
Diseno sistemas de monitoreoDiseno sistemas de monitoreo
Diseno sistemas de monitoreo
 
Informe final nro. 1 lab. electonicos ii
Informe final nro. 1 lab. electonicos iiInforme final nro. 1 lab. electonicos ii
Informe final nro. 1 lab. electonicos ii
 
Flujo entre agua subterranea y lagunas
Flujo entre agua subterranea y lagunasFlujo entre agua subterranea y lagunas
Flujo entre agua subterranea y lagunas
 
Sesion2_4 Estudios, Ejemplos y Casos internacionales
Sesion2_4 Estudios, Ejemplos y Casos internacionalesSesion2_4 Estudios, Ejemplos y Casos internacionales
Sesion2_4 Estudios, Ejemplos y Casos internacionales
 
Mitigacion y control del drenaje de acido de rocas
Mitigacion y control del drenaje de acido de rocasMitigacion y control del drenaje de acido de rocas
Mitigacion y control del drenaje de acido de rocas
 
Caracterizacion Hidrogeologica de Karst
Caracterizacion Hidrogeologica de KarstCaracterizacion Hidrogeologica de Karst
Caracterizacion Hidrogeologica de Karst
 

Similar to MODELLING THE GROUNDWATER FLOW IN THE CATCHMENT OF THE AL-HAZA OASIS

Mathematical modeling and Experimental Determination of Grade intermixing tim...
Mathematical modeling and Experimental Determination of Grade intermixing tim...Mathematical modeling and Experimental Determination of Grade intermixing tim...
Mathematical modeling and Experimental Determination of Grade intermixing tim...Ankit Karwa
 
Infinity II - Preliminary Aircraft Design Presentation
Infinity II - Preliminary Aircraft Design PresentationInfinity II - Preliminary Aircraft Design Presentation
Infinity II - Preliminary Aircraft Design PresentationManu Sharma
 
J. Ignacio López-Moreno: Effects of NAO on combined temperature and precipita...
J. Ignacio López-Moreno: Effects of NAO on combined temperature and precipita...J. Ignacio López-Moreno: Effects of NAO on combined temperature and precipita...
J. Ignacio López-Moreno: Effects of NAO on combined temperature and precipita...Jiří Šmída
 
Wgc 2009 shtokman flow assurance no_backup
Wgc 2009 shtokman flow assurance no_backupWgc 2009 shtokman flow assurance no_backup
Wgc 2009 shtokman flow assurance no_backupErich Zakarian
 
Wgc 2009 shtokman flow assurance rev07_no_backup
Wgc 2009 shtokman flow assurance rev07_no_backupWgc 2009 shtokman flow assurance rev07_no_backup
Wgc 2009 shtokman flow assurance rev07_no_backupErichZakarian
 
Hydrology and Water Resources of the Indo-Gangetic basin
Hydrology and Water Resources of the Indo-Gangetic basinHydrology and Water Resources of the Indo-Gangetic basin
Hydrology and Water Resources of the Indo-Gangetic basinguest471c677
 
Prof Plimer Adelaide Climate Change
Prof Plimer Adelaide Climate ChangeProf Plimer Adelaide Climate Change
Prof Plimer Adelaide Climate ChangeDavid S
 

Similar to MODELLING THE GROUNDWATER FLOW IN THE CATCHMENT OF THE AL-HAZA OASIS (13)

Mathematical modeling and Experimental Determination of Grade intermixing tim...
Mathematical modeling and Experimental Determination of Grade intermixing tim...Mathematical modeling and Experimental Determination of Grade intermixing tim...
Mathematical modeling and Experimental Determination of Grade intermixing tim...
 
Water use accounting in the Volta basin
Water use accounting in the Volta basinWater use accounting in the Volta basin
Water use accounting in the Volta basin
 
Infinity II - Preliminary Aircraft Design Presentation
Infinity II - Preliminary Aircraft Design PresentationInfinity II - Preliminary Aircraft Design Presentation
Infinity II - Preliminary Aircraft Design Presentation
 
Distributed modelling simplified hydrological process models for humid areas
Distributed modelling simplified hydrological process models for humid areas Distributed modelling simplified hydrological process models for humid areas
Distributed modelling simplified hydrological process models for humid areas
 
J. Ignacio López-Moreno: Effects of NAO on combined temperature and precipita...
J. Ignacio López-Moreno: Effects of NAO on combined temperature and precipita...J. Ignacio López-Moreno: Effects of NAO on combined temperature and precipita...
J. Ignacio López-Moreno: Effects of NAO on combined temperature and precipita...
 
Central Asia Experiences in Drought Management by Galina Stulina, SIC - ICWC,...
Central Asia Experiences in Drought Management by Galina Stulina, SIC - ICWC,...Central Asia Experiences in Drought Management by Galina Stulina, SIC - ICWC,...
Central Asia Experiences in Drought Management by Galina Stulina, SIC - ICWC,...
 
Wgc 2009 shtokman flow assurance no_backup
Wgc 2009 shtokman flow assurance no_backupWgc 2009 shtokman flow assurance no_backup
Wgc 2009 shtokman flow assurance no_backup
 
Wgc 2009 shtokman flow assurance rev07_no_backup
Wgc 2009 shtokman flow assurance rev07_no_backupWgc 2009 shtokman flow assurance rev07_no_backup
Wgc 2009 shtokman flow assurance rev07_no_backup
 
GIS User for Countywide Groundwater Assessment, Jefferson County, WV
GIS User for Countywide Groundwater Assessment, Jefferson County, WVGIS User for Countywide Groundwater Assessment, Jefferson County, WV
GIS User for Countywide Groundwater Assessment, Jefferson County, WV
 
Hydrology and Water Resources of the Indo-Gangetic basin
Hydrology and Water Resources of the Indo-Gangetic basinHydrology and Water Resources of the Indo-Gangetic basin
Hydrology and Water Resources of the Indo-Gangetic basin
 
Hydrology and Water Resources of the Indo-Gangetic basin
Hydrology and Water Resources of the Indo-Gangetic basinHydrology and Water Resources of the Indo-Gangetic basin
Hydrology and Water Resources of the Indo-Gangetic basin
 
Prof Plimer Adelaide Climate Change
Prof Plimer Adelaide Climate ChangeProf Plimer Adelaide Climate Change
Prof Plimer Adelaide Climate Change
 
MANAGING A GOLD MINE TAILINGS DAM
MANAGING A GOLD MINE TAILINGS DAMMANAGING A GOLD MINE TAILINGS DAM
MANAGING A GOLD MINE TAILINGS DAM
 

More from Gidahatari Agua

Modelamiento Transporte Contaminantes MODFLOW MT3DMS
Modelamiento Transporte Contaminantes MODFLOW MT3DMSModelamiento Transporte Contaminantes MODFLOW MT3DMS
Modelamiento Transporte Contaminantes MODFLOW MT3DMSGidahatari Agua
 
Optimizacion de costos (y tiempo) en estudios hidrogeologicos
Optimizacion de costos (y tiempo) en estudios hidrogeologicosOptimizacion de costos (y tiempo) en estudios hidrogeologicos
Optimizacion de costos (y tiempo) en estudios hidrogeologicosGidahatari Agua
 
Tendencias recientes en la cuantificación de las tasas de recarga de acuíferos
Tendencias recientes en la cuantificación de las tasas de recarga de acuíferosTendencias recientes en la cuantificación de las tasas de recarga de acuíferos
Tendencias recientes en la cuantificación de las tasas de recarga de acuíferosGidahatari Agua
 
Sesion2_2 Revisión de los modelos de calidad de Agua
Sesion2_2 Revisión de los modelos de calidad de AguaSesion2_2 Revisión de los modelos de calidad de Agua
Sesion2_2 Revisión de los modelos de calidad de AguaGidahatari Agua
 
Sesion1-4a Metales traza y estudios relacionados con las minas
Sesion1-4a Metales traza y estudios relacionados con las minasSesion1-4a Metales traza y estudios relacionados con las minas
Sesion1-4a Metales traza y estudios relacionados con las minasGidahatari Agua
 
Sesion_1_Calidad del Agua – Una Perspectiva Global
Sesion_1_Calidad del Agua – Una Perspectiva GlobalSesion_1_Calidad del Agua – Una Perspectiva Global
Sesion_1_Calidad del Agua – Una Perspectiva GlobalGidahatari Agua
 
Modelamiento numerico agua subterranea
Modelamiento numerico agua subterraneaModelamiento numerico agua subterranea
Modelamiento numerico agua subterraneaGidahatari Agua
 
Diseno de sistemas de coberturas
Diseno de sistemas de coberturasDiseno de sistemas de coberturas
Diseno de sistemas de coberturasGidahatari Agua
 
Influencia de los pozos en aguas subterraneas
Influencia de los pozos en aguas subterraneasInfluencia de los pozos en aguas subterraneas
Influencia de los pozos en aguas subterraneasGidahatari Agua
 
Imagenes satelitales en la investigacion de los recursos hidricos
Imagenes satelitales en la investigacion de los recursos hidricosImagenes satelitales en la investigacion de los recursos hidricos
Imagenes satelitales en la investigacion de los recursos hidricosGidahatari Agua
 
Gestion de Relaves Mineros
Gestion de Relaves MinerosGestion de Relaves Mineros
Gestion de Relaves MinerosGidahatari Agua
 
Calidad del agua subterranea
Calidad del agua subterraneaCalidad del agua subterranea
Calidad del agua subterraneaGidahatari Agua
 

More from Gidahatari Agua (16)

Modelamiento Transporte Contaminantes MODFLOW MT3DMS
Modelamiento Transporte Contaminantes MODFLOW MT3DMSModelamiento Transporte Contaminantes MODFLOW MT3DMS
Modelamiento Transporte Contaminantes MODFLOW MT3DMS
 
Optimizacion de costos (y tiempo) en estudios hidrogeologicos
Optimizacion de costos (y tiempo) en estudios hidrogeologicosOptimizacion de costos (y tiempo) en estudios hidrogeologicos
Optimizacion de costos (y tiempo) en estudios hidrogeologicos
 
Tendencias recientes en la cuantificación de las tasas de recarga de acuíferos
Tendencias recientes en la cuantificación de las tasas de recarga de acuíferosTendencias recientes en la cuantificación de las tasas de recarga de acuíferos
Tendencias recientes en la cuantificación de las tasas de recarga de acuíferos
 
Sesion2_2 Revisión de los modelos de calidad de Agua
Sesion2_2 Revisión de los modelos de calidad de AguaSesion2_2 Revisión de los modelos de calidad de Agua
Sesion2_2 Revisión de los modelos de calidad de Agua
 
Sesion1-4a Metales traza y estudios relacionados con las minas
Sesion1-4a Metales traza y estudios relacionados con las minasSesion1-4a Metales traza y estudios relacionados con las minas
Sesion1-4a Metales traza y estudios relacionados con las minas
 
Sesion_1_Calidad del Agua – Una Perspectiva Global
Sesion_1_Calidad del Agua – Una Perspectiva GlobalSesion_1_Calidad del Agua – Una Perspectiva Global
Sesion_1_Calidad del Agua – Una Perspectiva Global
 
Modelamiento numerico agua subterranea
Modelamiento numerico agua subterraneaModelamiento numerico agua subterranea
Modelamiento numerico agua subterranea
 
Diseno de sistemas de coberturas
Diseno de sistemas de coberturasDiseno de sistemas de coberturas
Diseno de sistemas de coberturas
 
Ensayo de acuiferos
Ensayo de acuiferosEnsayo de acuiferos
Ensayo de acuiferos
 
Influencia de los pozos en aguas subterraneas
Influencia de los pozos en aguas subterraneasInfluencia de los pozos en aguas subterraneas
Influencia de los pozos en aguas subterraneas
 
Imagenes satelitales en la investigacion de los recursos hidricos
Imagenes satelitales en la investigacion de los recursos hidricosImagenes satelitales en la investigacion de los recursos hidricos
Imagenes satelitales en la investigacion de los recursos hidricos
 
Filtracion de relaves
Filtracion de relavesFiltracion de relaves
Filtracion de relaves
 
Gestion de Relaves Mineros
Gestion de Relaves MinerosGestion de Relaves Mineros
Gestion de Relaves Mineros
 
Calidad del agua subterranea
Calidad del agua subterraneaCalidad del agua subterranea
Calidad del agua subterranea
 
Balance hidrico
Balance hidricoBalance hidrico
Balance hidrico
 
Construccion de pozos
Construccion de pozosConstruccion de pozos
Construccion de pozos
 

Recently uploaded

TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdfhans926745
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Miguel Araújo
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAndrey Devyatkin
 
HTML Injection Attacks: Impact and Mitigation Strategies
HTML Injection Attacks: Impact and Mitigation StrategiesHTML Injection Attacks: Impact and Mitigation Strategies
HTML Injection Attacks: Impact and Mitigation StrategiesBoston Institute of Analytics
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CVKhem
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationMichael W. Hawkins
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...apidays
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)Gabriella Davis
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobeapidays
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonAnna Loughnan Colquhoun
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)wesley chun
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoffsammart93
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024The Digital Insurer
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...Neo4j
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slidevu2urc
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Scriptwesley chun
 
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUnderstanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUK Journal
 

Recently uploaded (20)

TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
 
HTML Injection Attacks: Impact and Mitigation Strategies
HTML Injection Attacks: Impact and Mitigation StrategiesHTML Injection Attacks: Impact and Mitigation Strategies
HTML Injection Attacks: Impact and Mitigation Strategies
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CV
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, AdobeApidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
Apidays New York 2024 - Scaling API-first by Ian Reasor and Radu Cotescu, Adobe
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slide
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
 
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUnderstanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
 

MODELLING THE GROUNDWATER FLOW IN THE CATCHMENT OF THE AL-HAZA OASIS

  • 1. Modeling of the Groundwater Flow in the Catchment of the Al-Haza Oasis and Verification with Isotope Information Master Thesis by Saul Montoya
  • 2. 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
  • 3. • 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 Quantification of Numerical Groundwater the Groundwater Groundwater Management Budget Modeling
  • 5. 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
  • 6. 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
  • 7. Age Formation Member QUATERNARY SUPERFICIAL DEPOSITS   HOFUF   NEOGENE DAM    HADRUKH   ALAT KHOBAR  TERTIARY DAMMAN  ALVEOLINA LIMESTONE EOCENE SAILA SHALE  MIDRA SHALE RUS   PALAEOCENE UMM ER RADHUMA   CRETACEOUS ARUMA    Generalized Litho-stratigraphic Sequence in Eastern Saudi Arabia
  • 8. Bahrain Arabian Gulf Ghawar Anticline Geological Cross Section
  • 9. Global View of the Geological Setting
  • 10. Springs Sabkhas Arabian Gulf Hydrogeological Cross Section
  • 11. 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
  • 12. 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
  • 13. 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  Time Steps per Str.  Stress Period   Interval   Interval Period Duration 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
  • 15. INNER BOUNDARY CONDITONS • Initial Heads • Recharge 70.00 60.00 50.00 Recharge rate (mm/year) 40.00 30.00 20.00 10.00 - -8000 -7000 -6000 -5000 -4000 -3000 -2000 -1000 0 1000 2000 Year
  • 16. • Evapotranspiration • Well Abstraction -60 -50 -40 PUMPING RATE (m3/s) -30 -20 -10 1940 1950 1960 1970 1980 1990 2000 0 YEAR • Springs´ Conductance
  • 17. 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
  • 18. 160 150 COMPARISON WITH OBSERVED DATA 140 HC-4-N - Computed 130 HC-4-N - Observed 120 WATER HEAD (m.) •Neogene aquifer: 110 100 90 80 70 160 60 50 150 40 140 1940 1950 1960 1970 1980 1990 2000 130 YEAR WATER HEAD (m.) 120 110 100 90 HD-2-N - Computed HD-2-N - Observed 80 70 1940 1950 1960 1970 1980 1990 2000 YEAR
  • 19. 160 160 140 140 120 100 •Damman aquifer: 120 WATER HEAD (m.) WATER HEAD (m.) 100 80 60 80 40 60 HH-2-K - Computed 20 HH-2-K - Observed 40 0 HC-5-K - Computed HC-5-K - Observed 20 -20 -40 0 1940 1950 1960 1970 1980 1940 1990 1950 2000 1960 1970 1980 1990 2000 YEAR YEAR
  • 20. 210 210 200 200 190 190 180 180 170 HH-3-U - Computed H-14-U - Computed •Umm Er Radhuma Aquifer 170 160 WATER HEAD ELEVATION (m.) H-14-U - Observed HH-3-U - Observed 160 150 WATER HEAD ELEVATION (m.) 150 140 140 130 130 120 120 110 110 100 100 90 90 80 80 70 70 60 60 50 50 40 40 30 30 20 20 10 10 0 0 -10 -10 1940 1950 1960 1970 1980 1990 2000 1940 1950 1960 1970 1980 1990 2000 YEAR YEAR
  • 21. COMPARISON WITH MEASURED DRAIN DISCHARGE •Computed discharge in Al-Hasa Oasis in 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
  • 22. 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
  • 23. 160 150 150 140 ANALISYS OF FLOW RESULTS 140 130 130 120 110 WATER HEAD (m.) 120 Water Head (m.) 110 100 100 90 90 80 HH-2-NEOGENE 80 70 HH-2-DAMMAN HD-5-NEOGENE 60 HH-2-UMM ER RADHUMA 70 HD-5-DAMMAN 60 HD-5-UMM ER RADHUMA 50 50 40 40 30 1940 1950 1960 1970 1940 1980 1950 1990 1960 2000 1970 1980 1990 2000 YEAR YEAR
  • 24. WATER BALANCE   Flow Rates (m3/s)   1900 2005 NEOGENE AQUIFER Recharge elements By rainfall 9,98 5,59 By saline water intrusion 0,03 5,49 By upward flow from Damman Aquifer 4,51 0,43 Change in storage 0,59 11,84 Discharge elements By drainage in the Al Hasa Oasis 4,07 0 By downward flow to Damman Aquifer 1,71 14,29 By well abstraction 0 6,24 By evapotranspiration 7,25 2,21 By submarine springs 2,1 0,61 DAMMAN AQUIFER Recharge elements: By downward flow from Neogene Aquifer 1,71 14,29 By rainfall 2,2 1,55 By upward flow from Umm Er Radhuma Aquifer 2,3 0,4 By saline water intrusion 0,01 0,12 Change in storage 0,01 0,64 Discharge elements: By well abstraction 0 8,81 By downward flow to Umm Er Radhuma Aquifer 0,81 7,18 By upward flow to Neogene Aquifer 4,51 0,43 By evapotranspiration 0,53 0,37 By submarine springs 0,37 0,22
  • 25.   Flow Rates (m3/s)   1900 2005 UMM ER RADHUMA AQUIFER Recharge elements By upward flow from Aruma Aquifer 1,95 9,01 By downward flow from Damman Aquifer 0,81 7,38 By rainfall 1,47 0,86 Change in storage 0,12 23,13 Discharge elements Well abstraction 0 39.21 By downward flow to Aruma Aquifer 1,35 1,09 By upward flow to Damman Aquifer 2,31 0,35 By evapotranspiration 0,70 0,11 ARUMA AQUIFER Recharge elements: By downward flow from Umm Er Radhuma Aquifer 1,35 1,09 By rainfall 0,62 0,36 Change in storage 0,03 7,60 Discharge elements: By upward flow to Umm Er Radhuma Aquifer 1,95 9,01
  • 26. 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
  • 27.
  • 28. STABLE ISOTOPE INFORMATION Relationship between δD and δ18O 10 0 -9 -7 -5 -3 -1 1 -10 Al Hasa δD 0/00 Al Qatif -20 c δ2H = 8. δ18O + 10 -30 -40 -50 δ18O 0/00 Relationship between δD and δ18O
  • 29. RADIOACTIVE ISOTOPE INFORMATION •Water samples of the Al Qatif Oasis have a 14 C age of >22000 years •In the Al Haza Oasis the two samples give a 14 C age of >33000 years Al Qatif Oasis Al Hasa Oasis Sample Number 3 H content (TU) Location 3 H content (TU) 126 <0.8 24 <0.7 127 <0.8 25 <2.6 128 <2.3 26 <2.3 129 <0.9 27 <2.5 130 <2.3 28 <0.5 131 <2.7 29 <2.5 133 <2.7 30 <1.2 141 <0.9 31 <2.8 143 <2.2 32 <0.9 125 <2.7 Tritium content in Al Qatif and Al Hasa waters
  • 30. PARTICLE TRACKING SIMULATION PARTICLE D AGE: 2500 YEARS PARTICLE C AGE: 1000 YEARS PARTICLE A AGE: 6000 YEARS PARTICLE B AGE: 1000 YEARS
  • 31. t=0 WATER COMMING FROM THE ARUMA AQUIFER AGE: 6000 YEARS t = 1000 y. t = 5000 y. t = 2000 y. t = 6000 y. t = 4000 y. t = 3000 y. Cross Section following the Tracking of Particle A – Al Haza WATER COMMING FROM THE NEOGENE AQUIFER AGE: 1000 YEARS t=0 t = 1000y. Cross Section following the Tracking of Particle B – Al Haza
  • 32. WATER COMMING FROM THE NEOGENE AQUIFER AGE: 1000 YEARS t=0 t = 1000 y. Cross Section following the Tracking of Particle C – Al Qatif t= 0 WATER COMMING FROM THE DAMMAN AQUIFER AGE: 2500 YEARS t = 1000 y. t = 2000 y. t = 2500 y. Cross Section following the Tracking of Particle D – Al Qatif
  • 33. SIMULATION OF CONTINUOUS ABSTRACTION • Impact of actual groundwater extraction till 2030 2005 150 125 WATER LEVEL ELEVATION (m.) 100 75 50 25 HC-4-N (NEOGENE) 0 HC-5-K (DAMMAN) -25 HC-5-U (UMM ER RADHUMA) -50 1940 1960 1980 2000 2020
  • 34. Heads distribution in 2005 the Umm Er Radhuma WASA WELLFIELD 2030 WASA WELLFIELD
  • 35. 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
  • 36. • 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
  • 37. Modeling of the Groundwater Flow in the Catchment of the Al-Haza Oasis and Verification with Isotope Information Master Thesis by Saul Montoya