A computer simulation model for wastewater management in an integrated (fish production-hydroponics) system

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dc.contributor.authorSingh, Sahdeven
dc.contributor.committeechairMarsh, Lori S.en
dc.contributor.committeememberVaughan, David H.en
dc.contributor.committeememberPerumpral, John V.en
dc.contributor.committeememberHaugh, C. Geneen
dc.contributor.committeememberLibey, George S.en
dc.contributor.departmentBiological Systems Engineeringen
dc.date.accessioned2014-03-14T21:10:55Zen
dc.date.adate2006-05-11en
dc.date.available2014-03-14T21:10:55Zen
dc.date.issued1996en
dc.date.rdate2006-05-11en
dc.date.sdate2006-05-11en
dc.description.abstractIntensive fish production in a recirculating aquaculture system facility is a complex bioengineering operation involving a sensitive balance among physiological, water quality, and management components of the overall system. Warm and nutrient-rich wastewater discharged from controlled-environment fish production facilities is a loss of heat energy and nutrients in addition to being potentially harmful to the environment. The operators of such systems need sophisticated management tools if the operation is to be both commercially successful and environmentally friendly. Effluent heat and nutrients can be recovered using hydroponics in a greenhouse attached to the recirculating aquaculture system facility. A computer model was developed to simulate system performance and to help determine design parameters for an integrated fish production-hydroponics system. The aquaculture component of the model predicts (a) fish growth-dependent feeding, (b) diurnal metabolic waste production/accumulation in the fish culture water, and (c) quality, quantity and frequency of wastewater discharge. The hydroponics component computes optimum greenhouse size and models the performance of vegetable plants in terms of nutrient-uptake, water use, and growth. SUCROS and TOMGRO, plant growth models with modifications for water use and nutrient uptake, were used to simulate lettuce and tomato performance, respectively. To validate the plant models, experiments were conducted in a greenhouse utilizing aquacultural wastewater as the hydroponic solution to produce lettuce and tomatoes. Plant growth, water quality (nutrient-uptake), water use, and environmental conditions were monitored. Lettuce and tomato growth was accompanied with significant reductions in nitrogen and phosphorus levels of the wastewater. Water use by plants strongly depended on solar radiation and plant growth stage. At harvest, nine-week-old lettuce weighed 160 g/plant (average) at a density of 40 plants/m². Tomato yielded 2.4 kg/m² after 17 weeks. However, the tomato fruits did not reach maturity during this time. After 20 weeks, the tomato yield was 3.1 kg/m² and some fruits showed maturity. The use of the model as a management tool for making decisions on optimum greenhouse area for a given recirculating aquaculture system size is demonstrated. The effect of fish stocking density and greenhouse heat loss factor on the optimum greenhouse size are also demonstrated. For an optimum greenhouse size, water use and nutrient-recovery from the effluent by lettuce and tomato plants are quantified.en
dc.description.degreePh. D.en
dc.format.extentxi, 150 leavesen
dc.format.mediumBTDen
dc.format.mimetypeapplication/pdfen
dc.identifier.otheretd-05112006-154814en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-05112006-154814/en
dc.identifier.urihttp://hdl.handle.net/10919/37764en
dc.language.isoenen
dc.publisherVirginia Techen
dc.relation.haspartLD5655.V856_1996.S564.pdfen
dc.relation.isformatofOCLC# 34650153en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.lccLD5655.V856 1996.S564en
dc.titleA computer simulation model for wastewater management in an integrated (fish production-hydroponics) systemen
dc.typeDissertationen
dc.type.dcmitypeTexten
thesis.degree.disciplineBiological Systems Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.leveldoctoralen
thesis.degree.namePh. D.en

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