Implementing Early Warning Systems in WWTP. An investigation with cost-effective LED-VIS spectroscopy-based genetic algorithms.

Measuring how the pollution load evolves in real time along sewer networks is key for proper management of water resources and protecting the environment. The technique of molecular spectroscopy for water characterization has increasingly widespread use, as it is a non-invasive technique that leads to the correlation of the physical-chemical conditions of wastewater with spectroscopic surrogates by a series of mathematical estimation models. In the present research work, different symbolic regression models obtained with evolutive genetic algorithms are evaluated for the estimation of chemical oxygen demand (COD); five-day biochemical oxygen demand (BOD5); total suspended solids (TSS); total phosphorus (TP); and total nitrogen (TN), from the spectral response of samples measured between 380 and 700 nm and without the use of chemicals or pre-treatment. Around 650 wastewater samples were used in the campaign, from 43 different wastewater treatment plants (WWTP) in which both, raw/influent and treated/effluent, were examined through 18 models composed of Classical Genetic Algorithm (CGA), the Age-Layered Population Structure (ALPS), and Offspring Selection (OS) by mean of HeuristicLab software, to make a comparison among them and to determine which models and wavelengths are most suitable for the correlation. Models are proposed considering both raw and treated samples together (15) and only with tertiary treated wastewater reclaimed for agriculture irrigation effluent (3). The Pearson correlation coefficients were in the range of 67-91% for the test data in the case of the combined models. The results conform the first steps for a real-time monitoring of WWTP.

Assessment of total bacterial cells in extended aeration activated sludge plants using flow cytometry as a microbial monitoring tool.

The extended aeration activated sludge (EAAS) process is one of the most applied biological processes in small towns. Here, we study the abundance and viability of total bacterial cells in two wastewater treatment plants (WWTPs) operating with an EAAS process. We use flow cytometry (FCM) combined with SYTO13 and propidium iodide (PI) dyes as a rapid, easy, reliable and accurate microbial monitoring tool. A disaggregation procedure with an ultrasonic bath was designed to detach total bacterial cells from activated sludge flocs for subsequent FCM analysis. This procedure permitted the recovery of total bacterial cells from sludge flocs without affecting bacterial viability, as indicated by bacterial strain controls. Since FCM is a multi-parameter technique, it was possible to determine total bacterial abundance and their viability in the activated sludge. As a comparative method, epifluorescence microscopy was also used to quantify total bacterial cells; both methods produced similar results. The FCM analysis revealed relative microbial stability in both the WWTPs. The total bacterial abundance quantified by FCM in the two plants studied was 1.02-6.23 × 10(11) cells L(-1) with 70-72% viability, one logarithm less than that reported in the literature for WWTPs using the conventional activated sludge process. This can be explained by the difference in the operational parameters between the conventional plant and EAAS, mainly the organic loading rate.