Main Article Content
Abstract
A mathematical model consisting of a system of three coupled partial differential equations (PDEs) was proposed to estimate the concentrations of nitrogen, phosphorous and macroalgae biomass in coastal open waters. However, some simplifying assumptions were used in the model to cope with the complexity of real conditions. For the macroalgae biomass, the system works as a batch mode, while input and output were accounted for nitrogen and phosphorous. The MATLAB pdepe feature, applying the finite element method was used in model solving and the simulation of model equations. The program was split into four functions that included the solver and post-processing of the results, a function containing the PDEs, a function setting the initial conditions, and one setting the boundary conditions. For model validation, the experimental measurement of nitrogen, phosphorous and macroalgae biomass concentrations of Bandar Abbas coastal open waters were analyzed by standard methods at three depths of 1, 5 and 10 m. The predictive values of the developed model demonstrated its applicability for the management of coastal macroalgae cultivation systems by assessing the impact of nitrogen and phosphorous strategies on the farming system.
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References
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References
Negreanu-pîrjol, B., Negreanu-pîrjol, T., Paraschiv, G., Bratu, M., Sîrbu, R., Roncea, F. and Meghea, A. Physical-
chemical characterization of some green and red macrophyte algae from the Romanian Black Sea littoral. Scientific Study and Research Chemistry and Chemical Engineerin, Biotechnology, Food Industry, 2011, 12 ,173–184.
Israel, A., Martinez-Goss, M. and Friedlander, M. Effect of salinity and pH on growth and agar yield of Gracilaria tenuistipitata var. liui in laboratory and outdoor cultivation. Journal of Applied Phycology, 1999,11,543–549.
Abreu, MH., Pereira R., Yarish, C., Buschmann, A.H. and Sousa-Pinto, I. IMTA with Gracilaria vermiculophylla: Productivity and nutrient removal performance of the seaweed in a land-based pilot scale system. Aquaculture, 2011, 312,77–87.
Wegeberg, S. and Felby, C. Algae Biomass for Bioenergy in Denmark Biological/Technical Challenges and Opportunities. University of Copenhagen, 2010.
Handå, A., Forbord, S., Wang, X., Broch, OJ., Dahle, SW., Størseth, TR., Reitan, KI., Olsen, Y. and Skjermo, J. Seasonal- and depth-dependent growth of cultivated kelp (Saccharina latissima) in close proximity to salmon (Salmo salar) aquaculture in Norway. Aquaculture, 2013,414–415,191–201.
Bajpai, R., Prokop, A. and Zappi, M. Algal Biorefineries. Dordrecht: Springer Netherlands; 2014.
Perrot, T., Rossi, N., Ménesguen, A. and Dumas, F. Modelling green macroalgal blooms on the coasts of Brittany, France to enhance water quality management. Journal of Marine Systems, 2014,132,38–53.
Fennel, W. and Neumann, T. Coupling biology and oceanography in models. AMBIO A Journal of Human Environment, 2001,30,232–6.
Van Dam, AA. Modelling Studies of Fish Production in Integrated Agriculture-Aquaculture Systems. Wageningen Agricultural University, 1995.
Lorenzen, K., Struve, J. and Cowan, VJ. Impact of farming intensity and water management on nitrogen dynamics in intensive pond culture: a mathematical model applied to Thai commercial shrimp farms. Aquaculture Research, 1997, 28, 493–507.
Coppens, J., Hejzlar, J., Šorf, M., Jeppesen, E., Erdoğan, Ş., Scharfenberger, U., Mahdy. A, Nõges, P., Tuvikene A., Baho, DL., Trigal, C., Papastergiadou, E., Stefanidis, K., Olsen, S. and Beklioğlu, M. The influence of nutrient loading, climate and water depth on nitrogen and phosphorus loss in shallow lakes: a pan-European mesocosm experiment. Hydrobiologia, 2016,778,13–32.
Trancoso, ARR. Modelling Macroalgae in Estuaries. University of Lisbon, 2002.
Mocenni, C. and Vicino, A. Modelling Ecological Competition Between Seaweed and Seagrass: a Case Study 2006, 732-737.
Ménesguen, A., Cugier, P. and Leblond, I. A new numerical technique for tracking chemical species in a multisource, coastal ecosystem applied to nitrogen causing Ulva blooms in the bay of Brest. Limnol. Oceanogr, 2006,51,591–601.
Lazure, P. and Dumas, F. An external–internal mode coupling for a 3D hydrodynamical model for applications at regional scale (MARS). Advances in Water Resources, 2008, 31,233–50.
Vanhoutte-Brunier, A., Fernand, L., Ménesguen, A., Lyons, S., Gohin, F. and Cugier, P. Modelling the Karenia mikimotoi bloom that occurred in the western English Channel during summer 2003. Ecological Modelling, 2008, 210,351–376.
Klapper, I. and Dockery, J. Mathematical description of microbial biofilms. Society for Industrial Applied Mathematics Review, 2010,52,221–265.
Kim, Y., Park, J., Giokas, DL. and Albanis, TA. Performance evaluation and mathematical modeling of nitrogen reduction in waste stabilization ponds in conjunction with other treatment systems. Journal of Environmental Science Health Part A, 2004,39,741–758.
Chapelle, A., Ménesguen, A., Deslous-Paoli, J-M., Souchu, P., Mazouni, N., Vaquer, A. and Millet, B. Modelling nitrogen, primary production and oxygen in a Mediterranean lagoon. Impact of oysters farming and inputs from the watershed. Ecological Modelling, 2000,127,161–181.
Fernández, I., Acién, FG., Fernández, JM., Guzmán, JL., Magán, JJ. and Berenguel, M. Dynamic model of microalgal production in tubular photobioreactors. Bioresour Technology, 2012,126,172–181.
Geider, RJ., Maclntyre, HL. and Kana, TM. A dynamic regulatory model of phytoplanktonic acclimation to light, nutrients, and temperature. Limnology Oceanography, 1998,43,679–694.
Stewart, PS., Hamilton, MA., Goldstein, BR. and Schneider, T.B. Modeling biocide action against biofilms. Biotechnology Bioengineering, 1996,49,4445–4455.
Gjorgjieva, J. Turing Pattern Dynamics for Spatiotemporal Models with Growth and Curvature. Harvey Mudd, 2006.
Smit, AJ. Nitrogen Uptake by Gracilaria gracilis (Rhodophyta): Adaptations to a Temporally Variable Nitrogen Environment. Botanica Marina, 2002,45,196-209.
Fatemeh, E. Agar Production by Macroalga Gracilariaopsis persica in the Coastal Waters of the Persian Gulf. Journal of Applied Environmental and Biology Sciences, 2014,4,45–52.
Wang, C., Lei, A., Zhou, K., Hu, Z., Hao, W. and Yang, J. Growth and Nitrogen Uptake Characteristics Reveal Outbreak Mechanism of the Opportunistic Macroalga Gracilaria tenuistipitata. PLoS One, 2014,9,e108980.
Buschmann, AH., Varela, DA., Hernández-González, MC. and Huovinen, P. Opportunities and challenges for the development of an integrated seaweed-based aquaculture activity in Chile: determining the physiological capabilities of Macrocystis and Gracilaria as biofilters. Journal of Applied Phycology, 2008,20,571–577.
Thomann, RV. and Fitzpatrick, JJ. Calibration and verification of a mathematical model of the eutrophication of the Potomac Estuary. Government of the District of Columbia, Washington, D.C.: 1982.
Mitchell, D a., von Meien, OF., Krieger, N. and Dalsenter, FDH. A review of recent developments in modeling of microbial growth kinetics and intraparticle phenomena in solid-state fermentation. Biochemical Engineering Journal, 2004,17,15–26.
Alpkvist, E., Picioreanu, C., van, Loosdrecht, MCM. and Heyden, A. Three-dimensional biofilm model with individual cells and continuum EPS matrix. Biotechnology and Bioengineering, 2006,94,961–979.
Lababpour, A. Open-water cultivation of seaweed genus gracilaria in the coastal waters of Qeshm island for agar production. Acta Horticulturae, 2014,1054,325–332.
Mwegoha, WJS., Kaseva, ME., Sabai, SMM. Mathematical modeling of dissolved oxygen in fish ponds. African Journal of Environmental Science and Technology, 2010,4,625–638.
James, SC. and Boriah, V. Modeling Algae Growth in an Open-Channel Raceway. Journal of Computational Biology, 2010,17,895–906.
Dampin, N., Tarnchalanukit, W., Chunkao, K. and Maleewong, M. Fish Growth Model for Nile Tilapia (Oreochromis niloticus) in Wastewater Oxidation Pond, Thailand. Procedia Environmental Sciences, 2012,13,513–524.