The document discusses modeling of seawater intrusion in coastal aquifers. It provides background on seawater intrusion as a natural process driven by density differences between fresh and saltwater. It describes various numerical models that can be used to simulate variable density groundwater flow and solute transport, including SEAWAT, SUTRA and MODFLOW. As an example application, it summarizes a study that used SUTRA to model seawater intrusion and the influence of tides on the fresh water resources of Nauru Island. The study found tidal forcing significantly reduced the size of the freshwater lens.
The river Bharathapuzha is the lifeline of three districts in Central Kerala namely Palakkad, Malappuram and Thrissur and also parts of Coimbatore district of Tamil Nadu. This region gets an increase in population during the recent years. Water is unevenly distributed as surface and groundwater resources. An integrated hydrogeological study in the whole basin has not been attempted so far. This is the result of our investigation.
Sea Water Intrusion(SWI) in coastal areas :
1. Occurrence of seawater intrusion
2.Factors that affect coastal aquifer
3.Changes by hydrological regime
4.Problems due to SWI
5.Ghyben-Herzberg relation
6.Methods to detect SWI
7.Control measures
A pumping test is a field experiment in which a well is pumped at a controlled rate and water-level response (drawdown) is measured in one or more surrounding observation wells and optionally in the pumped well (control well) itself; response data from pumping tests are used to estimate the hydraulic properties of aquifers, evaluate well performance and identify aquifer boundaries.
1. Ground Water Occurrence
2. Types of Aquifers
3. Aquifer Parameters
4. Darcy’s Law
5. Measurement of Coefficient of Permeability of Soil
6. Types of Wells
7. Well Construction
8. Well Development
The Effect of Geometry Parameters and Flow Characteristics on Erosion and Sed...Dr. Amarjeet Singh
One of the most critical problems in the river
engineering field is scouring, sedimentation and morphology
of a river bed. In this paper, a finite volume method
FORTRAN code is provided and used. The code is able to
model the sedimentation. The flow and sediment were
modeled at the interception of the two channels. It is applied
an experimental model to evaluate the results. Regarding the
numerical model, the effects of geometry parameters such as
proportion of secondary channel to main channel width and
intersection angle and also hydraulic conditionals like
secondary to main channel discharge ratio and inlet flow
Froude number were studied on bed topographical and flow
pattern. The numerical results show that the maximum
height of bed increased to 32 percent as the discharge ratio
reaches to 51 percent, on average. It is observed that the
maximum height of sedimentation decreases by declining in
main channel to secondary channel Froude number ratio. On
the assessment of the channel width, velocity and final bed
height variations have changed by given trend, in all the
ratios. Also, increasing in the intersection angle accompanied
by decreasing in flow velocity variations along the channel.
The pattern of velocity and topographical bed variations are
also constant in any studied angles.
This study explains the use of remote sensing data for spatially distributed hydrological modeling using the MIKE-SHE software used in Tarim River Basin CHINA
The river Bharathapuzha is the lifeline of three districts in Central Kerala namely Palakkad, Malappuram and Thrissur and also parts of Coimbatore district of Tamil Nadu. This region gets an increase in population during the recent years. Water is unevenly distributed as surface and groundwater resources. An integrated hydrogeological study in the whole basin has not been attempted so far. This is the result of our investigation.
Sea Water Intrusion(SWI) in coastal areas :
1. Occurrence of seawater intrusion
2.Factors that affect coastal aquifer
3.Changes by hydrological regime
4.Problems due to SWI
5.Ghyben-Herzberg relation
6.Methods to detect SWI
7.Control measures
A pumping test is a field experiment in which a well is pumped at a controlled rate and water-level response (drawdown) is measured in one or more surrounding observation wells and optionally in the pumped well (control well) itself; response data from pumping tests are used to estimate the hydraulic properties of aquifers, evaluate well performance and identify aquifer boundaries.
1. Ground Water Occurrence
2. Types of Aquifers
3. Aquifer Parameters
4. Darcy’s Law
5. Measurement of Coefficient of Permeability of Soil
6. Types of Wells
7. Well Construction
8. Well Development
The Effect of Geometry Parameters and Flow Characteristics on Erosion and Sed...Dr. Amarjeet Singh
One of the most critical problems in the river
engineering field is scouring, sedimentation and morphology
of a river bed. In this paper, a finite volume method
FORTRAN code is provided and used. The code is able to
model the sedimentation. The flow and sediment were
modeled at the interception of the two channels. It is applied
an experimental model to evaluate the results. Regarding the
numerical model, the effects of geometry parameters such as
proportion of secondary channel to main channel width and
intersection angle and also hydraulic conditionals like
secondary to main channel discharge ratio and inlet flow
Froude number were studied on bed topographical and flow
pattern. The numerical results show that the maximum
height of bed increased to 32 percent as the discharge ratio
reaches to 51 percent, on average. It is observed that the
maximum height of sedimentation decreases by declining in
main channel to secondary channel Froude number ratio. On
the assessment of the channel width, velocity and final bed
height variations have changed by given trend, in all the
ratios. Also, increasing in the intersection angle accompanied
by decreasing in flow velocity variations along the channel.
The pattern of velocity and topographical bed variations are
also constant in any studied angles.
This study explains the use of remote sensing data for spatially distributed hydrological modeling using the MIKE-SHE software used in Tarim River Basin CHINA
This years’ keynote speaker of the Delft3D Users Meeting is Prof. Rudy L Slingerland, Pennsylvania State University, USA.
For more than 37 years, Prof. Rudy L. Slingerland of the Pennsylvania State University, USA, has been active as a scientist, educator and academic leader. He has held numerous positions within the University including head of the Department of Geosciences. His research group currently studies the evolution of morphodynamic systems, including tectonically-driven landscapes, deltas, rivers and shallow marine shelves by coupling theory with observations in the field and subsurface. The group’s ultimate goal is to develop predictive theories for the behavior of these systems and the record of their deposits. He was also recognized with the 2012 G. K. Gilbert Award for Geomorphology from the American Geophysical Union (AGU), which honors a scientist who has made a significant contribution to the field of earth and planetary surface processes. In 2013, he was elected a Fellow of the AGU.
In his Keynote Lecture “Delta Dynamics using Delft3D” at the Delft3D Users Meeting on Tuesday, November 4, Prof. Rudy L. Slingerland will describe what he has learned about delta dynamics from Delft3D modeling studies. He will talk about the latest open source advances and will share his ideas for further improvements. This Keynote will be the start of an open discussion among engineers, geomorphologists, geologists and software developers to further collaborate in the development and research of morphodynamic systems worldwide.
A REVIEW ON RESERVOIR SEDIMENTATION STUDIES USING SATELLITE REMOTE SENSING TE...ijiert bestjournal
Sedimentation in the reservoir gradually reduces it s storage capacity. By keeping a check on the sedimentation and by providing control measures for the same,the reservoir life can be maintained. Uj jani dam was constructed for irrigation,water supply an d power generation schemes. It lies in Solapur dist rict which is a drought prone area. This makes Ujjani a socially and economically significant project for t he state. In the present study,reservoir sedimentatio n for Ujjani reservoir is assessed for monitoring p urpose. Two techniques namely Satellite Remote Sensing Tech nique (SRST) and mathematical modeling using HEC RAS,were used in the study for estimating sedi mentation. Owing to advantages like low cost,time saving,less manpower requirement,accuracy in esti mation and capability of carrying out past surveys,the Satellite Remote Sensing Technique is gaining impor tance over the time consuming and high cost conventional hydrographic surveys. The water spread areas for different reservoir levels were delineat ed from the satellite images of Ujjain Reservoir using ARC GIS software. Volume between two water levels was calculated using prismoidul formula. The presen t volume of reservoir was compared with the initial volume during impoundment of reservoir. This gave t he loss of volume which was due to sedimentation.
In this work the impact of the tidal wave on pollutant residence time within Nador
lagoon has been computed using an Eulerian approach and a 2D hydrodynamical model.
The model is based on the finite volume method; it solves the shallow water equations on
spatial domain that represents the Nador lagoon. The residence time has been defined
through the remnant function of a passive tracer released inside the lagoon. The renewal
capacity of the Nador Lagoon has been investigated when forced by the astronomic tide.
The influence of tidal wave on residence time has been defined by the return flow, and
computed for two scenarios during winter and spring periods.
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.
Andrea D’Alpaos finally talked about tidal networks, their formation, their shapes, their similarity or dissimilarity from river networks. All of it in a blend of equations, analysis in the field and lab experiments.
International Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity.
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Powerpoint presentation describing climate change impacts in India, hydrological impact of climate change, impact of climate change on groundwater, methodology to assess the impact of climate change on groundwater resources, recent studies, and role of artificial intelligence.
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Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
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Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
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Modelling of Seawater Intrusion
1. Modelling of Seawater Intrusion
C. P. KUMAR
National Institute of Hydrology
Roorkee (India)
17 June, 2005
2. Seawater Intrusion
• A natural process that occurs in virtually all coastal
aquifers.
• Defined as movement of seawater inland into fresh
groundwater aquifers, as a result of
higher seawater density than freshwater
groundwater withdrawal in coastal areas
3.
4. Densities
• Freshwater: 1000 kg m-3
• Seawater: 1025 kg m-3
• Freshwater: 0 mg L-1
• Seawater: 35,000 mg L-1
dρ 1025 − 1000 kg m −3
= −3
= 0.714
dC 35 kg m
6. PROPER MANAGEMENT WILL PREVENT
SALINIZATION OF WELLS!
Not PREVENTING sea water intrusion,
but CONTROLING sea water intrusion.
7. Presence of salinity in coastal aquifers can be
detected by
(a) Geophysical methods
- Resistivity method
(b) Geochemical investigations
- Chemical composition of groundwater
- Isotope studies (age of water to identify the
source of salinity)
8. Field surveys (geophysical and geochemical studies)
can only reveal the present state of seawater intrusion
but can not make impact assessment and prediction
into the future.
Mathematical models are needed for these purposes.
Ghyben-Herzberg relation is a highly simplified
model.
Dynamic movement of groundwater flow and solute
transport needs to be considered.
A density-dependent solute transport model including
advection and dispersion is needed for the modelling.
9. Solute Transport Model
Flow Equation Advection-Dispersion Equation
Distribution of Head
Velocity Field
Concentration distribution in time and space
10. Most popular models for seawater intrusion
o SUTRA
o SEAWAT
o HST3D
o FEFLOW
Recently released Visual MODFLOW Pro 4.1
now integrates SEAWAT-2000 to solve variable
density flow problems, such as seawater intrusion
modeling projects.
11. USGS
• HST3D
– Three-dimensional flow, heat, and solute transport model
• MOCDENSE
– Fluid density and viscosity are assumed to be a linear function of the first
specified solute.
• SEAWAT
– A computer program for simulation of three-dimensional variable-density ground
water flow
• SHARP
– A quasi-three-dimensional, numerical finite-difference model to simulate
freshwater and saltwater flow separated by a sharp interface in layered coastal
aquifer systems
• SUTRA
– 2D, 3D, variable-density, variably-saturated flow, solute or energy transport
12. Others
• 3DFEMFAT
– 3-D finite-element flow and transport through saturated-unsaturated media.
Combined sequential flow and transport, or coupled density-dependent flow and
transport. Completely eliminates numerical oscillation due to advection terms,
can be applied to mesh Peclet numbers ranging from 0 to infinity, can use a very
large time step size to greatly reduce numerical diffusion.
• FEFLOW
– FEFLOW (Finite Element subsurface FLOW system) saturated and unsaturated
conditions. FEFLOW is a finite element simulation system which includes
interactive graphics, a GIS interface, data regionalization and visualization tools.
FEFLOW provides tools for building the finite element mesh, assigning model
properties and boundary conditions, running the simulation, and visualizing the
results.
• FEMWATER
- 3D finite element, saturated / unsaturated, density driven flow and
transport model.
13.
14.
15. Numerical Dispersion
• Numerical approximations of the derivatives of the non-linear
solute transport equation may introduce truncation errors and
oscillation errors.
• The truncation error has the appearance of an additional
dispersion-like term, called numerical dispersion, which may
dominate the numerical accuracy of the solution.
• Oscillations may occur in the solution of the solute transport
equation as a result of over and undershooting of the solute
concentration values.
• If the oscillation reaches unacceptable values, the solution
may even become unstable.
16.
17. The complex density-dependent ground water flow and mass transport
models provide stable and accurate results when employed with proper
spatial and temporal discretization.
The grid Peclet Number (ratio of the spatial discretization and the
dispersion length) and the Courant Number (ratio of the advective
distance during one time step to the spatial discretization) should match
the following constraints:
Δx Δy Δz
Px= ≤ 2, P y= ≤ 2, Pz= ≤ 2
α L α Τ α Τ
V x Δt V y Δt V Δt
C x= ≤ 1, C y = ≤ 1, C z = z ≤1
Δx Δy Δz
where Px, Py and Pz are the Peclet Numbers; Cx, Cy and Cz are the Courant
Numbers; Δx, Δy and Δz are the grid spacings; αL and αT are the
longitudinal and transverse dispersivity, respectively; and Δt is the time step.
18. Expertise and Studies at NIH
• Modelling of Seawater Intrusion
Dr. Anupma Sharma
Dr. S. V. N. Rao
Mr. C. P. Kumar
Dr. Vijay Kumar
Mr. P. K. Majumdar
Dr. M. K. Jose (on deputation)
• Nuclear Hydrology Group
• Kakinada Regional Centre
19. UNDP Training:
Two scientists were trained under UNDP Project (Vijay Kumar,
1997 & C. P. Kumar, 1998) - Application of SUTRA model.
Ph.D. Thesis:
Numerical Modelling of Seawater Transport in Coastal
Aquifers (Anupma Sharma, University of Roorkee, 1996)
Planning Models for Water Resources Management in
Coastal and Deltaic Systems (S. V. N. Rao, IIT Madras, 2003)
Research Project:
Freshwater-Salinewater Interrelationships in Multi-Aquifer
System of Krishna Delta, Coastal Andhra Pradesh
(Hydrology project in collaboration with Ground Water
Department, Andhra Pradesh)
20. Recent Publications (excluding national conferences)
Simulation of Sea Water Intrusion and Tidal Influence
C. P. Kumar
ISH Journal of Hydraulic Engineering, March 2001.
New MOC Model of Seawater Transport in Coastal Aquifers
Anupma Sharma, Deepak Kashyap and G. L. Asawa
Journal of Hydrologic Engineering, September/October 2001.
Numerical Simulation Models for Seawater Intrusion
C. P. Kumar
Journal of Indian Water Resources Society, July 2002.
Simulation of Seawater Intrusion in Ernakulam Coast
Dipanjali D. Bhosale and C. P. Kumar
International Conference on "Hydrology and Watershed Management", 18-20
December 2002, Hyderabad.
21. Modelling Strategies to Simulate Miscible Transport of
Seawater in Coastal Aquifers
Anupma Sharma, Deepak Kashyap and G.L. Asawa
Hydrology Journal of IAH, March-June 2003.
SUTRA and HST3D Modeling and Management of Saltwater
Intrusion from Brackish Canals in Southeast Florida
Manfred Koch and Anupma Sharma
The Second International Conference and Workshop on Saltwater Intrusion and
Coastal Aquifers Monitoring, Modeling, and Management (SWICA-M3), March
31-April 2, 2003, Mexico.
Effect of Various Parameters on the Size of Fresh Water Lens
in Home Island
Vijay Kumar and John L. Luick
AHI Journal of Applied Hydrology, 2004.
22. Constraints in the Numerical Modelling of Salt Water
Intrusion
C. P. Kumar
Journal of Soil and Water Conservation, December 2004.
Aquifer Restoration from Seawater Intrusion: A Field Scale
Study of Minjur Aquifer System, North Chennai, Tamilnadu,
India.
S. V. N. Rao
18th Seawater Intrusion meeting in Cartagena, Spain
Few other papers on groundwater development and
management in coastal aquifers by Dr. S. V. N. Rao
23. SIMULATION OF SEA WATER INTRUSION AND
TIDAL INFLUENCE
Objective: Simulation of sea water intrusion in Nauru
Island and examine the effect of tidal forcing on the fresh
water resources.
• Nauru Island is a coral island in the central Pacific
Ocean, very near the equator and occupies a land area of
22 km2.
• The Nauru aquifer was simulated in two-dimensions
using vertical section with SUTRA.
24.
25. • The water table is at an average elevation of 0.3 m
above sea level and ground water flows radially
outward to the sea.
• The island is underlain by a lens of fresh water as
much as 7 m thick with average thickness of 4.7 m.
Fresh water overlies a thick mixing zone which in
turn overlies sea water.
• The unusually thick mixing zone of brackish water is
due to the high hydraulic conductivity of the
limestone.
26.
27. • Quantitative estimates of hydraulic conductivity have not been
undertaken in Nauru Island, but by analogy with similar raised
limestone islands elsewhere, hydraulic conductivity is
estimated to be about 800 - 1,000 m/d.
• Tidal fluctuations may also have some effect on the
distribution of salinity in the mixing zone, particularly in areas
near the coastline.
• Oceanic tides have an amplitude of 0.8 m.
• Mean annual rainfall is 1,994 mm and annual rainfall has a
high degree of variability.
• For this study, a uniform recharge rate of 540 mm/year was
assumed.
28. Discretization
• A vertical section of the aquifer along the line C-C’ -
6400 m long and 120 m deep, was discretized to 832
rectangular elements and 891 (27 x 33) nodes.
• The horizontal spacing was kept constant as 200 m.
The vertical spacing was made variable, being 2, 3, 5
and 10 m from top of the aquifer to depths of 20, 35,
60 and 120 m, respectively, below mean sea level
(MSL).
29. Boundary Conditions
• A no-flow boundary condition is specified along the bottom
of the mesh at a depth of 120 m where the limestone is
considered to be impervious.
• A recharge boundary due to rainfall is specified at the top of
the aquifer.
• Along the left and right vertical boundaries, a hydrostatic
pressure defined by p = ρs g d was imposed. Here, p is the
hydrostatic pressure, ρs is the density of sea water, g is the
acceleration due to gravity, and d is the depth.
• Any inflow, occurring through the specified pressure
boundaries, has a sea water concentration of 35,700 mg/L
TDS (i.e. C* = 0.0357 kg TDS/kg fluid).
30.
31. Model Parameters
• The Nauru aquifer is reported to be not under any
major stress such as pumping, it was therefore
assumed to be in a steady state condition.
• Only one set of salinity data, measured during 1987,
was available.
• No measurement of hydraulic parameters has been
undertaken in the island and therefore estimated by
trial and error using relevant information from similar
cases.
32. Values of Hydraulic Parameters for Nauru Island
for Simulation with SUTRA
Hydraulic Parameter Value
Horizontal hydraulic conductivity, Kh 900 m/d
Anisotropy, Kh/Kv 50
Recharge rate 540 mm/year
Porosity 0.30
Longitudinal dispersivity, αL 65 m
Transverse dispersivity, αT 0.15 m
Molecular diffusivity 1.0x10-10 m2/s
33. The following fixed values were used in the computations:
Fresh water density ρ = 1,000 kg/m3
Sea water density ρs = 1,025 kg/m3
Fluid viscosity μ = 10-3 kg/m/s
Coefficient of fluid density change with
concentration ∂ρ/∂C = 700 kg/m3
34. Simulation of Ground Water Salinity
• The 1997 version of SUTRA (2D) was used for the simulation.
• To obtain a steady state solution, the simulation run was
divided into 1,000 time steps of 15 days each, which
corresponds to a total simulation period of about 41 years.
• Figure 4 presents the measured salinity concentrations along
section C-C’ and figure 5 presents the ground water salinity
obtained in the present study.
• The ground water salinity contours for the concentrations
0.005, 0.01, 0.02 and 0.03 in figure 5 are found to compare
well with measured.
35.
36.
37. • The results indicate that the model represents the
behaviour of the aquifer quite well under the existing
conditions.
• The model is very sensitive with respect to changes
in hydraulic conductivity and recharge. Higher values
of hydraulic conductivity facilitate intrusion of sea
water, whereas increased recharge has the opposite
effect, diluting saline water within the aquifer.
• The model is also sensitive to changes in porosity,
anisotropy and dispersivity but less sensitive to
changes in molecular diffusivity.
38. Tidal Influence
• The tidal signal is manifested as a pressure wave that
propagates inside from the coastal boundaries towards the
centre of the model area.
• Sinusoidally varying pressures were applied at the boundaries
to simulate tidal forcing.
• The amplitude of sine wave function (assumed for sea water
tides) was taken as 0.80 m with frequency of two cycles per
day.
• The tidal influence on sea water intrusion has been shown in
figure 6 which can be compared with figure 5 (without tidal
forcing).
39.
40. • A dramatic reduction of the fresh water lens was
observed when tidal influence is also considered.
• The area of fresh water (concentration less than
0.0005 i.e. 500 mg/L TDS) was reduced by
approximately one half in figure 6 (with tidal
forcing).
• This result highlights the importance of including
tidal forcing in numerical studies of coastal and
island aquifers.
43. The 26-12-04 tsunami has affected groundwater systems in the low-
lying coastal zones of the stricken areas.
Schematic representation of the possible effects of the 26-12-04 tsunami on coastal
groundwater systems:
* Upconing of brackish groundwater under abstraction wells,
* Intrusion of brackish or saline water from ponds,
* Fingering of brackish water from pools,
* Reduction in freshwater volume due to shoreline retreat, etc.
44. There are three primary modes through which the saltwater may
enter the underlying aquifers.
The first is direct contamination of wells, both large-diameter dug
wells and small-diameter tubewells that were either open at the top or
damaged during the flooding.
The second contamination pathway is widespread infiltration of
seawater into the aquifer from the land surface through the
unsaturated zone, the quantity controlled by the permeability of the
surface sediments and the depth to the water table.
Following drainage to the sea, some seawater may remain inland as
surface-water bodies in local low-lying areas. It acts as long-term
point sources of saltwater to the groundwater system.
• Numerical models can be used to analyse the impact
of tsunami on groundwater resources.
45. Potential Remediation Approaches
Widespread infiltration of a dense non-reactive contaminant is
difficult to remediate.
Removal of bodies of standing saline water and purging of
wells.
Allow natural recharge to flush salt from the aquifer.
If the seawater is isolated in a particular aquifer horizon, it may
be pumped out of the aquifer and discarded. However,
application of this method near the coast may induce classical
seawater intrusion.
If saltwater contamination is contained in shallow aquifers
which are isolated from deep aquifers by confining units, the
deep confined aquifers may become an alternative source of
fresh water through installation of deeper tubewells.
46. Future Action
Data collection and long-term monitoring is necessary
to assess and manage the impact of the tsunami-
induced saltwater contamination.
Measurements of well salinity levels over time as well
as salinity profiles with depth at selected locations
should be obtained.
Generic cross-sectional or three-dimensional
numerical groundwater models of variable-density
flow and solute transport can be constructed to better
understand contamination mechanisms and the
effectiveness of different remediation strategies.
47. saltwater intrusion and submarine ground water discharge
investigators
http://users.coastal.ufl.edu/~jnking/SGD/investigators.htm
Saltwater intrusion and submarine ground water discharge are foci of research
on every continent of the world. The following list contains links to investigators
each with interesting insight into these phenomena:
NM Abboud (United States: University of Connecticut)
I Acworth (Australia: University of New South Wales)
WP Anderson (United States: Radford University)
B Ataie-Ashtiani (Iran: Sharif University of Technology)
D Bartlett (United States: University of Maryland)
J Bear (Israel: TECHNION - Israel Institute of Technology)
WC Burnett (United States: Florida State University)
M Al Farajat (Jordan)
AD Cheng (United States: University of Mississippi)
HW Chang (Korea: Seoul National University)
G Dagan (Israel: Tel Aviv University)
GO Essink (The Netherlands: Free University Amsterdam)
A Habbar (Germany: Hannover University)
I Holman (United Kingdom: Cranfield University Silsoe)
KWF Howard (Canada: University of Toronto at Scarborough)
H Klock (Germany: University of Wurzburg)
48. M Koch (Germany: University of Kassel)
CP Kumar (India: Ministry of Water Resources)
CD Langevin (United States: United States Geological Survey)
JA Liggett Cornell University
PLF Liu Cornell University
L Motz (United States: University of Florida)
H Mahjoub (Spain: University of Barcelona)
AM Mushtaha (Palestine)
Y Ozorovich (Russia: Space Research Institute)
S Oswald (United Kingdom: University of Sheffield)
HW Park (Korea: Korea Institute of Geoscience and Mineral Resources)
P Renard (Switzerland: University of Neuchatel)
Y Ren (United States: University of Virginia)
N Riad (United States: University of Texas)
O Scholze (Germany: Technical University of Hamburg)
YP Sheng (United States: University of Florida)
L Simon (Switzerland: ETH Zurich)
M Stewart (United States: University of South Florida)
M Taniguchi (Japan: Nara University of Education)
NDl Tiruneh (United States: University of Florida)
DS Ward (United States)
C Zheng (United States: University of Alabama)