Modelling Phytoremediation Rates of Aquatic Macrophytes in Aquaculture Effluent
Pollutants from aquacultural practices constitute environmental problems and phytoremediation could offer cheaper environmentally sustainable alternative since equipment using advanced treatment for fish tank effluent is expensive to import, install, operate and maintain, especially in developing countries. The main objective of this research was, therefore, to develop a mathematical model for phytoremediation by aquatic plants in aquaculture wastewater. Other objectives were to evaluate the retention times on phytoremediation rates using the model and to measure the nutrient level of the aquaculture effluent and phytoremediation rates of three aquatic macrophytes, namely; water hyacinth (Eichornia crassippes), water lettuce (Pistial stratoites) and morning glory (Ipomea asarifolia). A completely randomized experimental design was used in the study. Approximately 100 g of each macrophyte were introduced into the hydroponic units and phytoremediation indices monitored at 8 different intervals from the first to the 28th day. The water quality parameters measured were pH and electrical conductivity (EC). Others were concentration of ammonium–nitrogen (NH4+ -N), nitrite- nitrogen (NO2- -N), nitrate- nitrogen (NO3- -N), phosphate –phosphorus (PO43- -P), and biomass value. The biomass produced by water hyacinth was 438.2 g, 600.7 g, 688.2 g and 725.7 g at four 7–day intervals. The corresponding values for water lettuce were 361.2 g, 498.7 g, 561.2 g and 623.7 g and for morning glory were 417.0 g, 567.0 g, 642.0 g and 679.5g. Coefficient of determination was greater than 80% for EC, TDS, NO2- -N, NO3- -N and 70% for NH4+ -N using any of the macrophytes and the predicted values were within the 95% confidence interval of measured values. Therefore, the model is valuable in the design and operation of phytoremediation systems for aquaculture effluent.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1123725Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1166
 Lawson, T.B (1997) Fundamentals of Aquacultural Engineering. New Delhi.
 Kumar, S., Dube, K. K and Rai, J. P. N (2005) Mathematical model for phytoremediation of pulp and paper industry wastewater. Journal of Scientific and Industrial Research. Vol. 64. pp 717-721
 Wade, A.J., Whitehead, P.G., Hornberger, G.M. and Snook, D.L. (2002) On modelling the flow controls on macrophyte and epiphyte dynamics in a lowland permeable catchment: The River Kennet, southern England. The Science of the Total Environment 282-283. pp375-393
 Ouyang, Y., Shinde, D and Ma, L. Q (2005) Simulation of phytoremediation of TNT- contaminated soil using the CTSPAC model. J. Environ. Qual. 34: 1490-1496
 Mocennia, C., Sparacinoa, E., Vicinoa, A and Zubellib, J.P. (2008) Mathematical modelling and parameter estimation of the Serra da Mesa basin. Mathematical and Computer Modelling 47. pp. 765–780
 Misra, A. K (2010) Modelling the depletion of dissolved oxygen in a lake due to submerged macrophytes. Nonlinear Analysis: Modelling and Control, Vol. 15, No. 2, 185–198
 Murugesan, A. G and Padmapriya, G (2012) Phytoremediation of various heavy metals (Cu, Pb and Hg) from aqueous solution using water hyacinth and its toxicity on plants. International Journal of Environmental Biology, 2(3): 97-103
 Tchobanoglous, G., Burton, F.L and Stensel, H.D (2003) Wastewater Engineering. Treatment and Re-use Tata Mc Graw-Hill publishing company Ltd. New Delhi
 Kiridi, E. A (2013) Mathematical Modelling of the Phytoremediation Rates of Some Tropical Aquatic Macrophytes in an Aquaculture Effluent Hydroponic System. Unpublished Ph.D Thesis. University of Ilorin, Ilorin. Nigeria. pp157
 Snow, A. M and Ghaly, A. E (2008) A comparative study of the purification of aquaculture wastewater using water hyacinth, water lettuce and parrot’s feather. American Journal of Applied Sciences. Vol. 5(4): 440-453
 Ale, S. O and Oyelami, B (2004) Mathematical modelling of the exploitation of biological resources in forestry and fishery. NMC Proc. Workshop on Environment. National Mathematical Center. Abuja. p 13