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Modeling Flow through Wetlands

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Title: Modeling Flow through Wetlands


1
Modeling Flow through Wetlands
  • Wayne Dodgens
  • Chad E. Edwards
  • Amy Gross

2
Modeling Flow Through Wetlands
  • Groundwater
  • Surfacewater
  • Groundwater-Surfacewater Interactions

3
Hydrologic Cycle
4
Groundwater
  • The water stored in interconnected pores located
    below the water table in an unconfined aquifer or
    located in a confined aquifer. (Fetter 2001)
  • That part of the subsurface water that is in the
    zone of saturation, including underground
    streams. (Glossary of Geology, 4th ed.)

5
Groundwater
6
Groundwater
7
Reasons groundwater is of concern to wetlands
studies
  • Ecological concerns
  • Can store and also filter contaminated fluids
  • Groundwater-surfacewater interactions

8
  • Animation from www.mhhe.com

9
Saltwater Intrusion
www.mhhe.com
10
How do you model groundwater flow in wetlands?
  • Treated the same as any groundwater
    investigation.
  • -Surface mapping
  • -Subsurface characterization
  • Soils
  • Water
  • -Modeling

11
Darcys Law
  • Q -k i a
  • Q discharge
  • k hydraulic conductivity
  • i hydraulic gradient
  • a area

12
Soils cont.
  • Data acquired from
  • Soil borings
  • Well cuttings
  • Cores
  • Geophysical techniques

13
Soils
14
Hydraulic Conductivity (Permeability)
  • Gravel 10-2 1 cm/s
  • Fine sand 10-5 - 10-3 cm/s
  • Clays 10-9 - 10-6 cm/s
  • Peat 10-3 108 m/day
  • (Fetter 2001)
  • (Wise et. al.)

15
Hydraulic Conductivity cont.
  • Flow rates from tests run during and after
    drilling of the monitoring wells
  • Inferred hydrologic parameters based on
    inspection of samples.
  • Assumed values for materials from published
    values in previous literature.
  • Estimates based upon the grain size distribution
    curve for samples run through a sieve analysis

16
Hydraulic Gradient
  • Monitoring wells
  • Piezometers
  • Hydraulic head values
  • Hydraulic gradient change in head over distance
    or (?h / ?l)

17
Wetland flow possibilities
18
Case Study
19
Study Area Jensen Beach, Fla.
20
Study Area
  • Pine flatwoods of Savannas State Preserve
  • Circular shape 60m diameter
  • USFWS designation palustrine, persistent,
    emergent, nontidal and seasonally flooded wetland

21
Vegetation - upland
Dahoon holly
Wax myrtle
Saw palmetto
http//www.gillespiemuseum.stetson.edu/grounds/lis
t.html
22
Vegetation - interior
St. Johns Wort
Blue Maidencane
Duck potato
Maidencane
http//sofia.er.usgs.gov/virtual_tour/pgbigcypress
.html http//www.gillespiemuseum.stetson.edu/gr
ounds/list.html
23
Geology
  • Underlain by the surficial aquifer Upper
    Miocene to Pleistocene 45-52m thick
  • Upper 12-18m fine to coarse grained sand
    intermixed with shell beds
  • 3-6m layer of fine sand with a few shells
  • Lower layer of limestone and calcarenite mixed
    with shells and sand

24
Site Geometry
  • Sediment surface contouring during flooded
    conditions
  • 3m intervals along N-S E-W, NW-SE SW-NE
    transects
  • Peat thickness was measured by pushing 1cm rebar
    through the peat until higher resistance
    indicated the sand layer

25
Methods
  • The basic idea behind this study is to pump
    enough surfacewater from the wetland so that its
    relationship to the underlying aquifer can be
    assessed based on the rate at which the wetland
    levels recover due to groundwater seepage from
    below.
  • Monitoring of 6 wells in the marsh interior, and
    12 wells outside the area, for initial head
    values and the lowering and subsequent rise of
    head values throughout the experiment.

26
WAIT well transects
27
Results
28
Results
29
Conclusions
  • Model agrees with data for smaller time
    increments while extrapolation to longer periods
    may involve inclusion of more variables
  • WAIT quantifies the resistance to flow between
    wetland and aquifer
  • AWIT to determine variability in the vertical
    hydraulic conductivity depending on direction

30
Computer Modeling
  • Computer models are used to help hydrologists
    understand how flow systems work and sometimes to
    project how flow systems might be affected by
    changes in the hydrologic cycle.
    http//ut.water.usgs.gov/modelsb.html
  • More than 40 models have been developed or are
    being developed.

31
Modeling
  • Different programs solve for parameters dependant
    on the study design.
  • Current programs are combining the capabilities
    of existing software into packages that can
    deliver results or predictions for numerous
    parameters

32
GMS v.4.0
All images http//www.ems-i.com/GMS/gms.html
33
Visual Modflow Pro v3.1
Animationhttp//www.visual-modflow.com/html/visua
l_modflow.html
34
Modeling Surface Water Flow in Wetlands
  • A non-mathematical explanation of a mathematical
    process

35
Development and evaluation of a mathematical
model for surface-water flow within the Shark
River Slough of the Florida Everglades
  • Carl H. Bolster, James E. Saiers

36
Why develop a model for surface water flow
through wetlands?
  • Wetlands are beginning to be appreciated for
    their value to society
  • The future management and restoration of wetlands
    relies on a quantitative understanding of surface
    water flows over vegetation

37
  • Over the last 50 years, 1000 miles of canals, 720
    miles of levees, and nearly 200 water control
    measures have been implemented in the Florida
    Everglades

38
  • The restoration plan of 7.8 billion will include
    re-engineering the ecosystem to capture most of
    the water that is now being diverted to the ocean
    and use 80 of it for environmental restoration
    and the remaining 20 for societys water needs

39
Planners need to be able to predict the effect on
wetlands of actions such as
  • Removing canals and levees
  • Removing dams
  • Redirecting flow from canals to wetland sloughs

40
The model developed in this study is a
two-dimensional model for surface water movement
  • The model was tested against hydrologic data
    measured in Shark River Slough in the Fl.
    Everglades

41
Assumptions of the model include
  • Uniform rates of evaporation
  • a constant ground surface slope
  • spatially homogenous vegetation cover
  • constant values for wetland porosity
  • exchanges between surface water and subsurface
    water are negligible

42
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43
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44
Overland flow models are determined by the
properties of the wetland Bed shape
irregularities (such as hummocks and depressions)
and vegetation density control resistance to flow
and the magnitude of the models friction
coefficient
45
Variable data regarding the ground-surface slope
represent the effects of gravity on the movement
of water across the surface of the wetland Data
on evapotranspiration , rainfall, and groundwater
exchange also contribute to the designing of an
accurate surface water flow model for wetlands
46
Field measurements of hydraulic head (water
level) were obtained from databases operated by
the USGS and Everglades National Park. Daily
measurements were compiled by averaging 15-minute
interval data
47
Results of the Shark River study
  • The model successfully predicted two observed
    decreases in hydrologic head occurring from Jan.
    17,1998-July 29, 1998 and from Aug. 14, 1998-Dec.
    30, 1998.
  • Also, the model coincides with rainfall-induced
    head oscillations recorded at the monitoring
    sites

48
  • The model is not perfect, however
  • Between May 1998 and July 1998 the model
    overestimated the observations at one recording
    station and underestimated the observations at
    another
  • This was presumed to have been caused by
    violations of the uniform wetland properties
    assumption

49
  • The model did predict accurately the temporal and
    spatial changes in surface water levels over a 27
    km long area of Shark River Slough
  • Results suggest that good predictions of wetland
    flow over relatively large scales can be obtained
    with simple mathematical models, without allowing
    for varying wetland properties

50
  • The authors of the study conclude surface water
    flow for extended time periods , over larger
    expanses, can be predicted with reasonable
    accuracy without the need to model changes in
    wetland parameters

51
A 2-dimensional, diffusion-based wetland flow
model (WETFLOW) Ke Feng and F.J. Molz Two cases
are presented in this study a laboratory testing
of the model and the model applied to a wetland
pond in Talladega National Forest near
Moundville, AL This model was developed to be
applied to a general wetland type

52
This small wetland was created when beavers
dammed a perennial stream
This is a Riparian wetland, one that is adjacent
to a body of water and is flooded on a regular
basis
53
Flow domain boundaries (outlines of study area)
and outlines of the islands must be defined The
varying boundaries of a wetland provide a problem
to the mathematical modeling of surface water
flow The boundaries of a wetland may change with
time, due to flooding events and drought
54
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55
This model has many positive attributes
  • The model allows for variations in wetland
    characteristics
  • The model applies to both 1-D and 2-D flow fields
    (evidenced by the laboratory study and the
    wetland study)
  • During drought and flood events, the model can
    identify changing wetland boundaries

56
  • This model can be used (as a hydrodynamic basis)
    for wetland research involving transport,
    chemistry, and biology
  • The authors of the study concluded that
    micro-topography and the distribution of flow
    resistance are the two parameters that must be
    measured in detail, and not assumed, in order to
    build an accurate model

57
Numerical Representation of dynamic flow and
transport at the Everglades/Florida bay
interfaceDr. Eric Swain USGS
  • Southern Inland and Coastal Systems Numerical
    Model (SICS)

This model was developed by starting with the
USGS Swift 2-D model, and was then modified to
make it applicable to the Everglades
58
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59
Model input data
  • The model area is characterized by topography,
    vegetation, wind friction coefficient, and
    bathymetry
  • Hydrologic data is then incorporated rainfall,
    evapotranspiration, salinity time series data,
    and water discharge at the boundaries of the
    study area

60
  • There must be observed data on hand to compare to
    the results of the model the amount of water
    discharged at coastal creeks, at the boundaries,
    and within the study area
  • Calibration data

61
  • The Southern Inland and Coastal Research Systems
    (SICS) will be discussed more by the next
    presenter (groundwater and surface water
    interactions)
  • Several papers were researched in studying
    modeling surface water flow through wetlands,
    most of these papers deal with the mathematical
    equations of the models

62
  • The models usually contain a series of
    differential equations that work together
  • There will be separate equations for different
    aspects of wetland hydrology

63
conclusions
  • There are a few mathematical models used for
    modeling surface water flow through wetlands
  • These models may be modified to apply to a
    particular type of wetland Everglades, riparian,
    etc.
  • All of these models attempt to provide a
    relatively simple means to model wetland flow
    without the need to account for minor changes in
    topography, porosity,etc.

64
  • Overall, the authors of the papers presented
    report relatively successful models, that have
    correctly predicted observed changes in the
    surface water flows in the wetlands studied
  • It is important to have reliable models that
    allow us to understand and predict changes that
    may occur in surface water flows in a wetland due
    to human intervention whether those changes are
    for better (tearing down control structures) or
    for worse (building structures that resist
    wetland flow)

65
References
  • Development and evaluation of a mathematical
    model for surface water flow within the Shark
    River Slough of the Florida Everglades. Carl H.
    Bolster, James E. Saiers. Journal of Hydrology
    259 (2002)221-235
  • A 2-D, diffusion-based, wetland flow model. Ke
    Feng, F.J. Molz. Journal of Hydrology 196 (1997)
    230-250
  • Numerical representation of dynamic flow and
    transport at the Everglades/Florida Bay
    interface. Dr. Eric D. Swain, USGS

66
Ground and Surface Water Interaction
  • Examine the effects of fluxes in water between
    the ground and surface
  • Study the effects of these movements on solutes
    Organic (carbon), inorganic (nitrogen),
    pollution (mercury)

67
Ground and Surface Water Interaction
  • Ecological effects salinity front movements
  • Used to study the effects of management practices
    on hydrology

68
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69
Interactions Between Groundwater and Surface
Water Models
  • Case Study
  • The Tides and Inflows in the Mangroves of the
    Everglades (TIME)
  • And
  • Southern Inland and Coastal Systems (SICS)

70
Introduction
  • A critical goal of the Comprehensive Everglades
    Restoration Plan (CERP) is to restore and
    preserve the hydrology of the predrainage
    ecosystem to provide ecological conditions
    that are consistent with habitat requirements.

71
Introduction
  • SICS will investigate wetland response to
    freshwater inflows and to compute resultant
    salinity patterns and concentrations in the
    subtidal embayments of Florida Bay as functions
    of freshwater inflows

72
SICS Study Area
73
The dynamic surface-water model is connected to a
three-dimensional ground -water model
74
SICS
  • What effects hydrologic changes to Taylor Slough
    and C-111 will have on
  • Hydroperiods and Hydropatterns
  • Quantity, timing, and location of freshwater flow
  • Development of hypersaline conditions and excess
    nutrients and contaminants

75
SICS
  • An existing, generic, two-dimensional
    surface-water flow and transport model was
    coupled to a fully developed, generic,
    three-dimensional variable-density ground-water
    flow and solute-transport model

76
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77
TIME
  • TIME is an investigation into the interacting
    effects of freshwater inflows and coastal driving
    forces in and along the mangrove ecotone of
    southern Florida within Everglades National Park

78
Satellite image of south Florida covering
Everglades National Park, 1500,000 scale
79
Satellite image showing TIME model boundary Scale
1500,000
80
Development of the TIME Model
  • An extension of the SICS model westward
  • Required many new, high resolution data sets to
    be created including, topography, vegetation, and
    other hydrographic data

81
Primary Objectives of the TIME Project
  • Develop, implement, and use a mathematical model
    to study the interaction of overland sheet flow
    and dynamic tidal forces
  • Including flow exchanges and salinity fluxes
    between the surface- and ground-water systems
  • In the mangrove-dominated transition zone between
    the Everglades wetlands and adjacent
    coastal-marine ecosystems

82
Goals of the TIME project
  • to provide
  • new scientific insight,
  • additional quantitative information,
  • more comprehensive data
  • a refined hydrodynamic model to help guide and
    assess restoration and management decisions for
    this critical ecosystem.

83
Questions Addressed by TIME
  • How do the Everglades freshwater-wetland and
    coastal-marine ecosystems respond concurrently,
    both hydrologically and ecologically, to
    regulation of inflow?
  • Will upland restoration actions affect the
    transformation of freshwater wetlands to brackish
    and marine marshes and subsequently to mangrove
    marsh ecotones?

84
Questions Addressed by TIME
  • How will changes in inflows act in concert with
    predicted increases in sea level to affect
    migration of the freshwater/saltwater interface
    within the surface and subsurface flow systems?
  • What key factors influence salt concentrations in
    the coastal mixing zone and how do these factors
    interact to affect wildlife habitat areas?

85
Questions Addressed by TIME
  • How will external dynamic forcing factors, such
    as sea level rise or meteorological effects,
    adversely affect upland regulatory plans?
  • What concurrent changes in wetland hydroperiods
    and coastal salinities are likely to occur in
    response to various proposed restoration and
    management plans?

86
Data sets used in model
  • vegetation characteristics
  • aquifer properties
  • surface-water levels,
  • ground-water heads,
  • flow velocities,
  • structure discharges,
  • tidal fluctuations,
  • salt concentrations,
  • Rainfall events,
  • and meteorological conditions

87
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89
Findings to Date
  • Water management has increased recharge and
    discharge in the north-central Everglades above
    pre-drainage conditions
  • Mercury is being recharged from surface water to
    groundwater and stored in the surficial aquifer

90
Findings to Date
  • Ungaged freshwater flows discharging from
    groundwater into Taylor Slough were quantified
    for the first time
  • Significant recharge and discharge occurs by
    vertical flow through Everglades peat in areas
    that are far from boundaries with levees and
    canals

91
Findings to Date
  • Discharge of deep groundwater from relict
    seawater origin beneath WCAs cannot explain the
    contaminant-level concentrations of sulfate in
    Water Conservation Areas

92
Conclusions
  • Models are very useful and powerful tools
  • Predict effects of management practices
  • Allow officials to make management decisions
    based on more than speculation
  • Predict effects of natural phenomena
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