KA6954 P57600 Chapter 12

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KA6954 P57600 Chapter 12

  1. 1. >> Muhammad bin Ramlan
  2. 2.  AN ALGAL BIOMASS PREDICTION MODEL  Introduction  Nutrient Cycling  The Nitrogen Cycle  Phosphorus Cycle  Silica Cycle  Summary of Nutrient Cycles Simulation Method  Introduction  Numerical Accuracy  Traditional Approach  Backtracking Approach  Model Uncertainty
  3. 3.  AN ALGAL BIOMASS PREDICTION MODEL  Introduction  Nutrient Cycling  The Nitrogen Cycle  Phosphorus Cycle  Silica Cycle  Summary of Nutrient Cycles Simulation Method  Introduction  Numerical Accuracy  Traditional Approach  Backtracking Approach  Model Uncertainty
  4. 4. Simulation model: DELWAQ-BLOOMThis model is used to predict algae growthand mortality, oxygen concentrations andnutrient dynamicsThis model process can be grouped into:nutrient cycling, algae modeling, and oxygen-related process.
  5. 5. The DELWAQ-BLOOM modelassumes that algae consumesammonia and nitrate in thewater column.Optionally the modelincludes algae species withthe ability to take up atomicnitrogen and detritus.
  6. 6. Two importantThe nitrogen cycle reaction in theconsider the water- nitrogen nutrientcolumn components cycle• e.g. ammonia, nitrite and • Nitrification and nitrate, algae, suspended denitrification detritus and suspended (non-dertitus) organic • nitrification (production nitrogen. of nitrate in system) and denitrification (nitrate is removed from the system). • These reaction affect the flux of ammonia and nitrate in the water column.
  7. 7. A simplified The specifiedversion of the reaction ofnitrogen cycle this cycle is the absorption / desorption of particulate inorganic phosphorus
  8. 8. A simplified The specifiedversion of the reaction ofnitrogen cycle this cycle is there is no absorption of silica to inorganic suspended solids.
  9. 9. The nutrient cycle just described arebased on the assumption that nutrients can be recycled an infinite number oftimes without any loses other than due to transport, chemical absorption, denitrification and burial.
  10. 10.  AN ALGAL BIOMASS PREDICTION MODEL  Introduction  Nutrient Cycling  The Nitrogen Cycle  Phosphorus Cycle  Silica Cycle  Summary of Nutrient Cycles SIMULATION METHOD  Introduction  Numerical Accuracy  Traditional Approach  Backtracking Approach  Model Uncertainty
  11. 11. Numerical Accuracy SimulationBacktracking Method – Approach water quality Traditional models Approach
  12. 12. Water quality simulation models based on physical, biological andchemical processes typicallyinclude time rate of change terms as dC/dt.
  13. 13. Most water quality Time is divided into discretesimulation models simulate intervals and the flows are quality over a consecutive assumed constant within series of discrete time each of those time period periods. intervals. At the end of each Each water body is divided period, mixing occurs within into segments or volume each segment or volume elements, and these are element to obtain the considered to be in steady concentrations in thestate conditions within each segment or volume element simulation time period. at the beginning of the next time step.
  14. 14. Backtracking approach eliminates the need toconsider the simulation time-step durationrestriction. The backtracking approach permitsany simulation time-step duration to be usedalong with any segmenting scheme. Unlike the traditional approach, water can travel through any number of successive segments or volume elements in each simulation time step.Instead of following the water in a segment orvolume element downstream, the system tracksback upstream to find the source concentrationof the contaminants.
  15. 15. THANK YOU

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