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Needs and gaps of internal process modelling of
Tidal Flow Engineered Wetlands.
Beautiful wetlands: Hall of Green Wilderness, Yuan Yao 1770
Lordwin Jeyakumar
PhD Student
Centre for Water Resources Research
Civil Engineering department
Newstead Building
UCD Belfield, D4
Supervisor
Dr.Yaqian Zhao
First ICAERE
Constructed Wetlands
“… a designed and man made complex of saturated substrate,
emergent and submergent vegetation, animal life and water
that simulates natural wetlands for human use and benefits.”
(Hammer,1989)
Free Water Surface
Horizontal Sub-Surface FlowVertical Flow
Reed beds
Tidal Flow
CW site
144
Constructed wetlands emulate nature by……
Mechanical filtering
Chemical transforming and
Biologically consuming
…….potential pollutants in the waste water streams
China’s Yangtze River 1998 Flood
Economic losses were estimated in 32,000 million dollars and 230
million persons were affected.
Causes
The increase of settlements construction on flood prone areas.
The increase destruction of wetlands near lakes and rivers to
accommodate more farming.
The increase of river basin deforestation
Solutions
Wetland Restoration
Stopping deforestation
Functions of Wetlands
Treatment of livestock and municipal wastewater.
Treatment of highway runoff and urban storm waste water.
Hydrological and hydraulic modifications.
Water Quality improvement.
Shoreline stabilization and erosion control.
Life supporting wildlife and plant habitats.
Open wilderness and aesthetics.
Benefits of Constructed Wetlands
Cost effective treatment of non point source pollution.
Reduction of operation and maintenance costs relative to
conventional water treatment plants.
Reduction of flood hazards and erosion.
Opportunities for enhancement of wildlife habitats biodiversity
revitalization, academic research, public education and community
recreation amenities.
Models Strength Weakness
Rules of thumb Fastest Uncertainty
Roughest Design Methods
First-Order Widely used for CW design ‘Blackbox’ based on only
I/O data.
Monod type equations Follows first order and
possible cal. for BC.
Over simplification of
parameters
ASM 1,2,2D,3 Widespread application in
WWT.
Some components are not
possible to add
CW2D Explains transport and
reaction of main
constituents
Fails to explain clogging
phenomenon
FITOVERT Explains clogging ad
degradation of OM & N
More work is still required
Model Review
P1 P2
P2
Ground alum
sludge cakes
Gravel support
Raw wastewater Reed bed
feed tankEffluent
Schematic view of tidal flow reed bed treatment system
First-order model
ecctk
inout
cc
out
in
tk ln
1
Cin is influent concentration, mg/l,
Cout is effluent concentration, mg/l,
k is reaction rate constant, d-1, and
t is time, d-1
Cout= 0.1071Cin + 0.3464
R2 = 0.8203
0.0
1.0
2.0
3.0
4.0
5.0
6.0
7.0
8.0
9.0
0.0 10.0 20.0 30.0 40.0 50.0 60.0 70.0
Cin (mg/l)
Cout (
mg
/l)
Relationship between Cin and Cout of RP throughout the experimental period
Cout = 0.8936Cin + 0.2837
R2 = 0.8203
0.0
1.0
2.0
3.0
4.0
5.0
6.0
7.0
8.0
9.0
0.0 2.0 4.0 6.0 8.0 10.0
Cout (mg/l), Experimental
Cout (
mg
/l),
Pre
dic
ted
Relationship between Cout (experimental) and Cout (predicted) of RP throughout
the experimental period
Water quality parameters Mean Cin (mg/l) Mean
Cout (mg/l)
Experimental
Mean
Cout (mg/l)
Predicted
k (d-1)
Reactive Phosphorus
(RP)
28.3 3.4 3.30 17.1
Soluble Reactive
Phosphorus (SRP)
17 1.5 1.42 19.8
Chemical Oxygen
Demand (COD)
197.2 45.5 39.2 12.9
Biological Oxygen
Demand (BOD)
106.6 19.5 20.2 13.9
Suspended solids 71.9 9.6 5.5 20.4
Results of first order model calculation for various water quality
parameters
Major Pathways
2.0m 0.75m 0.75m 0.75m 2.0m
1 2 3 4
AB
Connection
for inlet pipe
Connection
for exit pipe
System 1
Mesh cage for
submersible pump
0.30m (L), 0.30m
(W) and 1.35m (H)
Tanks A and B are 10,000L capacity circular tanks each with individual dimension of 2500mm (diameter), 2810mm (height) and
a lid opening at the top measuring 480mm.
Tanks 1, 2, 3 and 4 are plastic tanks with about 1,100L capacity each and approximate dimensions of 1100mm x 1380mm x
1345mm (L x W x H)
Four stage Tidal flow Constructed wetland system
Groups and parameters being measured
Nutrients Organics Met. Real time Phy. Obs.
NH3-N BOD5 Rainfall pH Reeds
NO3--N COD Atm.
Temp
ORP Clogging
NO2--N Sol. COD Sunshine Temp Flow level
Total N Aluminum Gusts Cond.
Total P Sol. Alum. Wind Salinity
Sol.Rea.P SS DO
Turbidity % SAT
Model Development
Mass Balance
RP/SRP Plant RP/SRP PlantRP/SRP Plant
RP/SRP WaterRP/SRP Water RP/SRP Water
RP/SRP Water
RP/SRP Alum-
SludgeRP/SRP Alum-
Sludge
RP/SRP Alum-
Sludge
RP/SRP Alum-
Sludge
RP/SRP Plant
1 2 3 4
1 2 3
4
1 2
3 4
inflow
Uptake
DesorptionAdsorption
Flow 1 2 Flow Flow 3
Desorption
Adsorption
Desorption
Adsorption
Desorption
Adsorption
Uptake Uptake Uptake
Outflow
Conceptual diagram showing the most important processes in phosphorus build into the model. The model is composed of 4
repetitive subsystems (the columns), each modelling the transformations of the particular compartment. The horizontal arrows
represent water flow and the vertical arrows represent process equations
Strong affinity
PAl 3+
|Alum Sludge
Conceptual diagram showing the most important processes in Nitrogen build into the model. The model is composed
of 4 repetitive subsystems (the columns), each modelling the transformations of the particular compartment. The
horizontal arrows represent water flow and the vertical arrows represent process equations
Organic Nitrogen
1 2 3 4
Organic Nitrogen Organic Nitrogen Organic Nitrogen
2 3 4
Ammonia Nitrogen Ammonia Nitrogen Ammonia Nitrogen Ammonia Nitrogen
Nitrate Nitrogen Nitrate Nitrogen Nitrate Nitrogen Nitrate Nitrogen
Nitrite Nitrogen Nitrite Nitrogen Nitrite Nitrogen Nitrite Nitrogen
1 2 3 4
1 2 3 4
1 2 3 4
Organic Nitrogen
Ammonia Nitrogen
Nitrate Nitrogen
Nitrite Nitrogen
Ammonification
Nitrification
Gaseous Nitrogen
Nitrogen Oxide
Gaseous Nitrogen
Nitrogen Oxide
Gaseous Nitrogen Gaseous Nitrogen
Nitrogen Oxide Nitrogen Oxide
Denitrification
)(1
sarb
s
w
L
D
Once the nitrogen reaches the biofilm surfaces, its concentration is
determined by diffusion term and a reaction term (Polpraset et al., 1994)
For Example
Michaelis – Menton Expression
….possible to explore implifications of different rate constants and
different in flux and outflux scenarios on overall system behaviour
Michaelis-Menton Dynamics
Future Outlook
Science has recently provided wetland engineers with biomolecular
probes to decrypt the microbial basis of treatment processes.
More research should be focused on the internal mechanism such as
ammonification, nitrification, denitrification, plant uptake, adsorption,
desorption, sedimentation, mineralization etc.
Recent wetland research and the unfolding revolution in molecular and
environmental microbiology suggest that these techniques will
powerfully inform wetland engineering designs in the future.
Efficient dynamic software like STELLA can be used as a tool for better
understanding the processes happening underneath the wetland
system.
Passive methods will remain important, but as an informed design
choice, not a technology limitation
Conclusion
Constructed Wetlands/Engineered Wetlands are crucial in protection of
Environment
TFEW and Alum sludge plays a pivotal role in the removal of
pollutants from Wastewater.
Moreover, increasing scientific sophistication of treatment wetland
designers is only the beginning of a more profound understanding in the
near future of how these complex reactors function at a molecular level
Thanking You
Beautiful wetlands