Santhanam, H and Raj, Amal S (2010) A new Fuzzy-LOGIC based Model for Chlorophyll-a in Pulicat Lagoon, India. In: International Journal of Environmental Research, 4 (4). pp. 837-848.
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Coastal lagoons are complex ecosystems exhibiting a high degree of non-linearity in the distribution and exchange of nutrients dissolved in the water column due to their spatio-temporal characteristics. This factor has a direct influence on the concentrations of chlorophyll-a, an indicator of the primary productivity in the water bodies as lakes and lagoons. Moreover the seasonal variability in the characteristics of large-scale basins further contributes to the uncertainties in the data on the physico-chemical and biological characteristics of the lagoons. Considering the above, modelling the distributions of the nutrients with respect to the chlorophyll-concentrations, hence requires an effective approach which will appropriately account for the non-linearity of the ecosystem as well as the uncertainties in the available data. In the present investigation, fuzzy logic was used to develop a new model of the primary production for Pulicat lagoon, Southeast coast of India. Multiple regression analysis revealed that the concentrations of chlorophyll-a in the lagoon was highly influenced by the dissolved concentrations of nitrate, nitrites and phosphorous to different extents over different seasons and years. A high degree of agreement was obtained between the actual field values and those predicted by the new fuzzy model (d = 0.881 to 0.788) for the years 2005 and 2006, illustrating the efficiency of the model in predicting the values of chlorophyll-a in the lagoon.
|Item Type:||Journal Article|
|Additional Information:||Copyright of this article belongs to University of Tehran.|
|Keywords:||Coastal lagoon; Pulicat lagoon; Chlorophyll-a; Fuzzy logic; Multiple Regression analysis|
|Department/Centre:||Division of Mechanical Sciences > Centre for Earth Sciences|
|Date Deposited:||01 Mar 2011 11:27|
|Last Modified:||01 Mar 2011 11:27|
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