Development of an ecosystem model MARSHDO for assessing oxygen demand in a recirculating shrimp aqua - PowerPoint PPT Presentation

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Development of an ecosystem model MARSHDO for assessing oxygen demand in a recirculating shrimp aqua

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Title: Development of an ecosystem model MARSHDO for assessing oxygen demand in a recirculating shrimp aqua


1
Development of an ecosystem model (MARSHDO) for
assessing oxygen demand in a recirculating shrimp
aquaculture treatment wetland
  • David R. Tilley
  • Biological Resources Engineering University of
    Maryland
  • College Park

Harish Badrinarayanan, Ji Ho Son
Environmental Engineering Texas AM
UniversityKingsville
Paper given at American Society of Agricultural
Engineers 2004, Ottawa, Ontario
2
Motivation
  • Shrimp Farming Increasing in Popularity
  • Needs to be Ecologically Sustainable
  • Treatment Wetlands used as Recirculation Filters
  • Wetlands remove Suspended Solids and Nutrients
  • OXYGEN levels drop!

3
Objectives
  • Evaluate how a Treatment Wetland altered the
    dissolved oxygen levels of process water
    discharged from a full-scale shrimp farm (8 ha)
  • Develop a simulation model of the long-term
    temporal dynamics of dissolved oxygen (D.O.)
    discharged from the Treatment Wetland
  • Test affects of organic and nutrient loading and
    management on Treatment Wetland D.O.

4
Plan of Study
  • Monitor D.O. along flow transect of shrimp farm
    treatment marsh
  • H.T. Odums Energy Systems Language used to
    diagram oxygen cycle of treatment marsh.
  • Develop computer simulation model using STELLA
    software.
  • Model calibration based on literature values and
    validated with field observations.
  • Test sensitivity of D.O. to changes in inputs and
    management of live and dead organic matter.

5
Loma Alta Shrimp Farm Marsh Recirculation
Filter
Flow Rate 13,600 m3 d-1 (3.6 MGD) Hydraulic
Residence Time 24 h Depth 15 to 45 cm Study
period July 24 - Oct. 9, 2000
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Roseate Spoonbills
13
Drop in D.O. across Wetland
14
D.O. change along Marsh Transect
15
BOD change along Marsh Transect
16
pH change along Marsh Transect
17
D.O. to BOD ratio lower in Highly Organic
Sections of Marsh
18
Model Development
19
Systems diagram Marsh-DO simulation model
J. Son
20
Systems diagram for Marsh-DO modelnumerical
values for sources, storages and pathways
J. Son
21
Determination of MARSHDO coefficients
22
STELLA Diagram of MARSH-DO
23
Long-term Dynamics of Key State Variables in
Marsh-DO
Biomass
Phosphorus
Org. Matter
D.O.
24
10-year Simulation of Sensitivity of D.O. to
Organic Loading
½X Present Load
2X Present Load
25
10-year Simulation of Sensitivity of D.O. to
Nutrient Load
½X Present Load
2X Present Load
26
Sensitivity of DO to changes in Organic and
Nutrient Loading
27
Management Effects
Biomass
Phosphorus Removal
Unmanaged
g/m2

Managed
Dead Organic Matter
Dissolved Oxygen
Unmanaged
Managed
g/m2
ppm
Managed
Unmanaged
Weeks
Weeks
28
Model Deficiencies/Improvements
  • Separate Organic Matter into suspended and soil
    compartments.
  • Be careful in zeal of removing Organic Matter to
    increase Oxygen because
  • O.M. supports removal of other pollutants (heavy
    metals, pathogens, nitrogen)

29
Conclusions
  • An ecosystems model of Dissolved Oxygen levels in
    a Treatment Marsh operated as the Recirculation
    Filter on a Full-scale Shrimp Farm was developed
    with energy systems language and simulated with
    STELLA software.
  • Soil oxygen demand is at least as important as
    water column oxygen demand.
  • Doubling of Organic Loading decreased long-term
    Dissolved Oxygen levels more than doubling
    Nutrient Loading.
  • Annual removal of Biomass and Dead Organic Matter
    increased mean Dissolved Oxygen levels.

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the end
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