Model development and initial characterization of in the shellfish-producing area of Butrinti Lagoon.

The purpose of this research was to estimate the correlation between hydrochemicals and contamination in by using multi-linear regression and statistically processing the monthly mean results. This study was conducted in a traditional cultivation of , sampled and analyzed (n=136) for microbial analysis with ISO 16649-3. From 2015 to 2017, seawater was measured with a multiparameter apparatus, where four variables [dissolved oxygen (n=115), temperature (n=127) and pH (n=115), salinity (n=127), and local area rainfall monitoring (n=23)] were taken into consideration. The results were compared and shown to have a significant correlation, allowing for the quantification of the impact resulting from adjustments made to the monthly mean computation. During the study period, statistical performance for each year was estimated =94.4% (2015), =46.8%, and =97.5% (2017).