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Estuarine

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... the major aspects in developing hydrodynamic and water quality models ... III Hydrodynamics. IV Pollutant loads. V Water quality. VI Heavy metals. VII Pathogens ... – PowerPoint PPT presentation

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Title: Estuarine


1
Estuarine Coastal Modelling Course
MODULE IX WATER QUALITY MODELLING PROCESS
Michael Hartnett, Environmental Change Institute,
NUI Galway
2
  • WATER QUALITY MODELLING PROCESS

OBJECTIVE Guidance on the major aspects in
developing hydrodynamic and water quality models
3
  • WATER QUALITY MODELLING PROCESS

CONTENT- I Boundary Conditions II Initial
conditions III Hydrodynamics IV Pollutant
loads V Water quality VI Heavy
metals VII Pathogens
4
I BOUNDARY CONDITIONS
5
I BOUNDARY CONDITIONS
  • Boundary conditions (BCs)?
  • Dominant processes along the boundaries
    (edges) of a model.
  • BCs propagate throughout the interior of the
    model (Domain)
  • resulting in some physical, chemical or
    biological effects.

6
I BOUNDARY CONDITIONS
  • Example
  • Specification of a tidal boundary induces
    water level changes
  • and currents within a model domain
  • Driving forces behind a model
  • Poor specification is a major source of
    modelling error

7
I BOUNDARY CONDITIONS
BOUNDARY LOCATIONS
Boundaries located far enough away from region of
interest (ROI) Balance between accuracy and
speed Always ask Are the boundaries located
correctly?
ROI
8
I BOUNDARY CONDITIONS
  • Hydrodynamic BCs
  • Tidal boundary elevations
  • flows
  • Streamline !
  • River flows
  • Wind

9
I BOUNDARY CONDITIONS
  • Hydrodynamic BCs
  • Tidal elevation common
  • Relatively easily obtained tide tables, surveys

10
I BOUNDARY CONDITIONS
  • Hydrodynamic BCs
  • Tidal flows less common
  • Difficult to obtain surveys, output from other
    model
  • May be more accurate

11
I BOUNDARY CONDITIONS
  • Streamline BCs
  • No friction/shear with water outside domain
  • Sea boundary
  • Free condtion

12
I BOUNDARY CONDITIONS
  • River flows
  • Velocity V(m/s)
  • Time varying
  • Contributes volume and energy
  • Note Q(m3/s) V x Area of flow

13
II INITIAL CONDITIONS
14
II INITIAL CONDITIONS
  • Initial conditions?
  • Models are run from time zero to simulation
    time.
  • Initial conditions are the values specified
    for all model
  • variables at time zero.
  • Realistic examples
  • Domain water level set to low water
  • Water currents set to zero
  • Dissolved Oxygen set to 3mg/l

15
II INITIAL CONDITIONS
Example Orthophosphate initial conditions
Based on salinity Specified at each
model grid
16
III HYDRODYNAMICS
17
III HYDRODYNAMICS
  • Examples of BCs
  • Tides constant repeating tide e.g. spring tide
  • repeating spring/neap 14 day cycle
  • realistic tides from tidal
    constituents
  • River annual/monthly averages
  • flow recorded data
  • Wind annual/monthly averages
  • recorded data
  • spatially constant (usually)

18
III HYDRODYNAMICS
  • Actual examples of BCs
  • Dublin Bay
  • Cork Harbour

19
III HYDRODYNAMICS
Dublin Bay
MODEL BOUNDARIES _____ Streamline _____ Tidal
elevations _____ Flow
20
III HYDRODYNAMICS
  • Cork Harbour

River flow
River flow
River flow
Tidal elevation
Streamline
21
IV POLLUTANT LOADS
22
IV POLLUTANT LOADS
  • Each pollutant source separately defined
  • Number of pollutants
  • Location
  • Hydraulic flow rate Q(m3/s)
  • Pollutant concentration C(mg/l)
  • (C1, C2, C3Cn)
  • Note Mass loading M(mg/s) Q x C

23
IV POLLUTANT LOADS
  • Load specification
  • Constant
  • Time varying
  • Model inputs depends on available data
  • Ideally time varying flow and load!

24
IV POLLUTANT LOADS
Temporal variations
Recorded flow
Recorded nitrate nitrogen
25
IV POLLUTANT LOADS
  • Example Cork Harbour
  • 20 discharges
  • Sewage outfalls
  • Industrial outfalls
  • Rivers
  • Marine source

26
IV POLLUTANT LOADS
  • Outfall loads
  • Often based on IPC
  • Sometimes limited measured data
  • Inputs rarely completely known
  • Ensure scenarios are conservative

27
IV POLLUTANT LOADS
  • Location of outfalls

28
IV POLLUTANT LOADS
  • River inputs
  • Significant nutrient loads
  • Fewer sources than outfall
  • Highly variable seasonally
  • Flow varies
  • Nutrients vary
  • Usually limited data

29
IV POLLUTANT LOADS
  • Location of rivers/diffuse

30
IV POLLUTANT LOADS
  • Cork Harbour

Flow data not always readily available
31
IV POLLUTANT LOADS
  • Cork Harbour

Nutrient data not always readily available
32
IV POLLUTANT LOADS
  • River Lee inputs

33
V WATER QUALITY
34
V WATER QUALITY
COMPLEX
35
V WATER QUALITY
  • Components
  • Hydrodynamic boundary/initial conditions
  • Pollutant boundary/initial conditions
  • Phytoplankton cycle
  • Reaction rates/constants

?
?
36
V WATER QUALITY
  • Simplified phytoplankton cycle

37
V WATER QUALITY
  • Phytoplankton Kinetics
  • Species present
  • Temperature
  • Light
  • Nutrients
  • Transport processes

38
V WATER QUALITY
Numerical Representation
CP phytoplankton population (mg Chl-a L-1)
GPI growth rate constant (d-1)
DPI death plus respiration rate constant
VS4 settling velocity (m d-1) D
total water depth
39
V WATER QUALITY
Numerical Representation
GRTS Arrhenius equation GRNU Monod
equation Limiting Nutrient
40
Nitrogen Modelling
41
V WATER QUALITY
  • Reaction rates/constants
  • Determine the rate at which a process progresses
  • Must specify rate values for various processes
  • Example Phytoplankton growth

CP phytoplankton population (mg Chl-a L-1)
GPI growth rate constant (d-1)
DPI death plus respiration rate constant
VS4 settling velocity (m d-1)
42
V WATER QUALITY
  • Reaction rates/constants determination?
  • Sources
  • Experiments
  • Texts e.g. Surface Water quality by Chapra
  • Specialist literature e.g. Rates, Constants
    Kinetics, USEPA
  • Journal papers
  • Modelling manuals

43
V WATER QUALITY
  • Experiments
  • Effects of light on growth rate

44
V WATER QUALITY
  • Reaction rates/constants
  • Mostly from literature
  • Often used to tune Water Quality model
  • Can vary from report to report
  • Sensitivity analysis to assess impacts
  • Select conservative values !

45
Reaction rates constants
46
V WATER QUALITY
References
(1) Brown, L.C. and Barnwell, T.O., (1987), The
Enhanced Stream Water Quality Models QUAL2E and
QUAL2E-UNCAS Documentation and User Manual, U.S.
Environmental Protection Agency. (2) Bowie,
G.L., Mills, W.B., Porcella, D.B., Campbell,
C.L., Pagenkopf, J.R., Rupp, G.L., Johnson, K.M.,
Chan, P.W.H. and Gherini, S.A., (1985), Rates,
Constants, and Kinetic Formulations in Surface
Water Quality Modelling, Environmental Research
Laboratory, Office of Research and Development,
U.S. Environmental Protection Agency. (3)
Chapra, S.C., (1997), Surface Water Quality
Modelling, McGraw-Hill International Editions,
Singapore. (4) Falconer, R.A. and Liu, S.Q.,
(1988), Modelling Solute Transport Using the
QUICK Scheme, Journal of Environmental
Engineering, 114 (1) 3-20.
47
V WATER QUALITY
48
VI HEAVY METALS
49
VI HEAVY METALS
  • Toxic metals
  • lead, mercury, zinc etc
  • Linked to sediments and salinity

50
VI HEAVY METALS
  • Sediment dependency
  • Heavy metal mass fractioned in water
  • Some behave as solute
  • Some attach to fine, cohesive sediments
  • Thus must first model sediment transport
  • Very difficult !
  • Sediment transport module
  • Validated/calibrated etc.

51
VI HEAVY METALS
  • Salinity dependency
  • Heavy metal mass fractioned in water
  • P (Particulate bound mass)/(dissolved mass)
  • Partitioning coefficient (P)
  • Function of water chemistry salinity
  • Model salinity
  • Determine P

52
VI HEAVY METALS
  • Salinity dependency
  • Very poorly understood research stage
  • P varies from estuary to estuary
  • Models
  • P constant
  • P exponential decrease with salinity
  • Locally derived function from measurements

53
VI HEAVY METALS
Salinity dependency - exponential
54
VI HEAVY METALS
Salinity dependency locally derived
55
VI HEAVY METALS
Model predictions
56
VI HEAVY METALS
  • Stages
  • Hydrodynamics
  • Salinity
  • Sediments
  • Metal inputs
  • Metal transport
  • Very difficult !
  • Considerable measurements required

57
VII PATHOGENS
58
VII PATHOGENS
  • Stages
  • Hydrodynamics
  • Pathogen inputs
  • Pathogen (solute) transport
  • Die-off
  • Modelling difficulties
  • Loading
  • Die-off rate

59
VII PATHOGENS
  • Die-off rate
  • T90, time for 90 pathogens to die
  • Typically around 15hours
  • T90 range X X hours
  • T90 is not a constant
  • Temperature
  • Sunlight
  • Turbidity
  • Sediments

?
60
  • WATER QUALITY MODELLING PROCESS

CONTENT- I Boundary conditions II Initial
conditions III Hydrodynamics IV Discharges/pollu
tant loads V Water quality VI Heavy
metals VII Pathogens
61
Estuarine Coastal Modelling Course
MODULE IX WATER QUALITY MODELLING PROCESS
Michael Hartnett, Environmental Change Institute,
NUI Galway
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