Optimizing algal biomass production in an outdoor pond : a simulation model
A deterministic simulation model was developed to predict production rates of the marine prymnesiophyte Isochrysis galbana in an outdoor algal mass culture system. The model consists of photoadaptation, gross photosynthesis and respiration sections. Actual physiological and biophysical laboratory da...
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| Veröffentlicht in: | Journal of applied phycology 1991-09, Vol.3 (3), p.191-201 |
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| container_title | Journal of applied phycology |
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| creator | SUKENIK, A LEVY, R. S LEVY, Y FALKOWSKI, P. G DUBRINSKY, Z |
| description | A deterministic simulation model was developed to predict production rates of the marine prymnesiophyte Isochrysis galbana in an outdoor algal mass culture system. The model consists of photoadaptation, gross photosynthesis and respiration sections. Actual physiological and biophysical laboratory data were used in calculating productivity. The resulting values were used to assess optimal operational parameters to maximize algal biomass production. The model predicted a yearly averaged production rate of 9.7 g C/m super(2)/d which compared well with field data reported in the literature. The model predicted that a yearly averaged chlorophyll areal density of 0.65 g/m super(2) will yield the maximal production rate. Chlorophyll areal density should be seasonally adjusted by changing pond depth or chlorophyll concentration. The model predicted that under optimal operational conditions, the diurnal respiration losses averaged 35% of gross photosynthesis. The calculated growth rate for maximal productivity ranged between 0.15 and 0.24/d, suggesting an optimal hydraulic retention time of 6.7 and 4.2 d for various seasons. |
| doi_str_mv | 10.1007/BF00003577 |
| format | Article |
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S ; LEVY, Y ; FALKOWSKI, P. G ; DUBRINSKY, Z</creator><creatorcontrib>SUKENIK, A ; LEVY, R. S ; LEVY, Y ; FALKOWSKI, P. G ; DUBRINSKY, Z</creatorcontrib><description>A deterministic simulation model was developed to predict production rates of the marine prymnesiophyte Isochrysis galbana in an outdoor algal mass culture system. The model consists of photoadaptation, gross photosynthesis and respiration sections. Actual physiological and biophysical laboratory data were used in calculating productivity. The resulting values were used to assess optimal operational parameters to maximize algal biomass production. The model predicted a yearly averaged production rate of 9.7 g C/m super(2)/d which compared well with field data reported in the literature. The model predicted that a yearly averaged chlorophyll areal density of 0.65 g/m super(2) will yield the maximal production rate. Chlorophyll areal density should be seasonally adjusted by changing pond depth or chlorophyll concentration. The model predicted that under optimal operational conditions, the diurnal respiration losses averaged 35% of gross photosynthesis. The calculated growth rate for maximal productivity ranged between 0.15 and 0.24/d, suggesting an optimal hydraulic retention time of 6.7 and 4.2 d for various seasons.</description><identifier>ISSN: 0921-8971</identifier><identifier>EISSN: 1573-5176</identifier><identifier>DOI: 10.1007/BF00003577</identifier><language>eng</language><publisher>Dordrecht: Springer</publisher><subject>Animal and plant ecology ; Animal, plant and microbial ecology ; aquaculture ; Autoecology ; Biological and medical sciences ; ecophysiology ; Fundamental and applied biological sciences. 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S</creatorcontrib><creatorcontrib>LEVY, Y</creatorcontrib><creatorcontrib>FALKOWSKI, P. G</creatorcontrib><creatorcontrib>DUBRINSKY, Z</creatorcontrib><title>Optimizing algal biomass production in an outdoor pond : a simulation model</title><title>Journal of applied phycology</title><description>A deterministic simulation model was developed to predict production rates of the marine prymnesiophyte Isochrysis galbana in an outdoor algal mass culture system. The model consists of photoadaptation, gross photosynthesis and respiration sections. Actual physiological and biophysical laboratory data were used in calculating productivity. The resulting values were used to assess optimal operational parameters to maximize algal biomass production. The model predicted a yearly averaged production rate of 9.7 g C/m super(2)/d which compared well with field data reported in the literature. The model predicted that a yearly averaged chlorophyll areal density of 0.65 g/m super(2) will yield the maximal production rate. Chlorophyll areal density should be seasonally adjusted by changing pond depth or chlorophyll concentration. The model predicted that under optimal operational conditions, the diurnal respiration losses averaged 35% of gross photosynthesis. The calculated growth rate for maximal productivity ranged between 0.15 and 0.24/d, suggesting an optimal hydraulic retention time of 6.7 and 4.2 d for various seasons.</description><subject>Animal and plant ecology</subject><subject>Animal, plant and microbial ecology</subject><subject>aquaculture</subject><subject>Autoecology</subject><subject>Biological and medical sciences</subject><subject>ecophysiology</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>irradiance</subject><subject>Isochrysis galbana</subject><subject>Marine</subject><subject>mass culture</subject><subject>mathematical models</subject><subject>photosynthesis</subject><subject>plant metabolism</subject><subject>Plants and fungi</subject><subject>pond culture</subject><subject>ponds</subject><subject>primary production</subject><subject>respiration</subject><subject>simulation</subject><issn>0921-8971</issn><issn>1573-5176</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1991</creationdate><recordtype>article</recordtype><recordid>eNpFkDFPwzAUhC0EEqGw8As8IAakgF9sxwkbVBQQlbrAHL3YSWXkxMFOBvj1BFrBLbd8dzodIefAroExdXO_YrO4VOqAJCAVTyWo_JAkrMwgLUoFx-QkxvcZKgsoEvKyGUbb2S_bbym6LTpaW99hjHQI3kx6tL6ntqfYUz-NxvtAB98bekuRRttNDn-JzpvGnZKjFl1szva-IG-rh9flU7rePD4v79apzkoYU4GtxIK1oGquUBsALkxboEKQsuRaI-Zy3lvUshY5tKgk4yYXGc_R5BnjC3K5650nfkxNHKvORt04h33jp1hBzmSphJjBqx2og48xNG01BNth-KyAVT9_Vf9_zfDFvhWjRtcG7LWNfwkJIERZ8G_Bs2kS</recordid><startdate>19910901</startdate><enddate>19910901</enddate><creator>SUKENIK, A</creator><creator>LEVY, R. 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Psychology</topic><topic>irradiance</topic><topic>Isochrysis galbana</topic><topic>Marine</topic><topic>mass culture</topic><topic>mathematical models</topic><topic>photosynthesis</topic><topic>plant metabolism</topic><topic>Plants and fungi</topic><topic>pond culture</topic><topic>ponds</topic><topic>primary production</topic><topic>respiration</topic><topic>simulation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>SUKENIK, A</creatorcontrib><creatorcontrib>LEVY, R. S</creatorcontrib><creatorcontrib>LEVY, Y</creatorcontrib><creatorcontrib>FALKOWSKI, P. 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The model predicted a yearly averaged production rate of 9.7 g C/m super(2)/d which compared well with field data reported in the literature. The model predicted that a yearly averaged chlorophyll areal density of 0.65 g/m super(2) will yield the maximal production rate. Chlorophyll areal density should be seasonally adjusted by changing pond depth or chlorophyll concentration. The model predicted that under optimal operational conditions, the diurnal respiration losses averaged 35% of gross photosynthesis. The calculated growth rate for maximal productivity ranged between 0.15 and 0.24/d, suggesting an optimal hydraulic retention time of 6.7 and 4.2 d for various seasons.</abstract><cop>Dordrecht</cop><pub>Springer</pub><doi>10.1007/BF00003577</doi><tpages>11</tpages></addata></record> |
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| subjects | Animal and plant ecology Animal, plant and microbial ecology aquaculture Autoecology Biological and medical sciences ecophysiology Fundamental and applied biological sciences. Psychology irradiance Isochrysis galbana Marine mass culture mathematical models photosynthesis plant metabolism Plants and fungi pond culture ponds primary production respiration simulation |
| title | Optimizing algal biomass production in an outdoor pond : a simulation model |
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