Prediction of the bulking phenomenon in wastewater treatment plants

The control and prediction of wastewater treatment plants poses an important goal: to avoid breaking the environmental balance by always keeping the system in stable operating conditions. It is known that qualitative information — coming from microscopic examinations and subjective remarks — has a deep influence on the activated sludge process. In particular, on the total amount of effluent suspended solids, one of the measures of overall plant performance. The search for an input–output model of this variable and the prediction of sudden increases (bulking episodes) is thus a central concern to ensure the fulfillment of current discharge limitations. Unfortunately, the strong interrelation between variables, their heterogeneity and the very high amount of missing information makes the use of traditional techniques difficult, or even impossible. Through the combined use of several methods — rough set theory and artificial neural networks, mainly — reasonable prediction models are found, which also serve to show the different importance of variables and provide insight into the process dynamics

Knowledge-based modelling and simulation of operational problems of microbiological origin in wastewater treatment plants

The activated sludge and anaerobic digestion processes have been modelled in widely accepted models. Nevertheless, these models still have limitations when describing operational problems of microbiological origin. The aim of this thesis is to develop a knowledge-based model to simulate risk of plant-wide operational problems of microbiological origin.For the risk model heuristic knowledge from experts and literature was implemented in a rule-based system. Using fuzzy logic, the system can infer a risk index for the main operational problems of microbiological origin (i.e. filamentous bulking, biological foaming, rising sludge and deflocculation). To show the results of the risk model, it was implemented in the Benchmark Simulation Models. This allowed to study the risk model's response in different scenarios and control strategies. The risk model has shown to be really useful providing a third criterion to evaluate control strategies apart from the economical and environmental criteria.

Treatment of mature urban landfill leachates by anammox process

This thesis results from the collaborative projects between the LEQUIA-UdG group and Cespa (a company in charge of several landfill sites in Spain). The aim of the work was the development of a suitable alternative treatment for nitrogen removal from mature landfill leachates. The thesis presents the application of the anammox (anaerobic ammonium oxidation process) process to treat ammonium rich leachates as the second step of the PANAMMOX® process. The work deals with preliminary studies about the characteristics of the anammox process in a SBR, with special focus on the response of the biomass to nitrite exposure. The application of the anammox process with leachate was first studied in a lab-scale reactor, to test the effect of the leachate matrix on anammox biomass and its progressive adaptation. Finally, a start-up strategy is developed and applied for the successful start-up of a 400L anammox SBR in less than 6 months.

Nitrifying and denitrifying bacterial communities in the sediment and rhizosphere of a free water surface constructed wetland

La contínua descàrrega de nutrients, sobretot fosfats i nitrogen, és la major causa d'eutrofització dels ecosistemes aquàtics. Els sistemes de tractament basats en aiguamolls construïts s'han emprat per reduir ells nivells de nitrogen a l'aigua com a alternativa de baix cost als mètodes de depuració convencionals. L'eliminació del nitrogen a aquests sistemes depèn en bona part de la vegetació, i l'alternança de condicions aeròbiques i anaeròbiques per promoure els processos de nitrificació i desnitrificació. En aquest treball hem volgut investigar les activitats microbianes de nitrificació i desnitrificació en relació a dues espècies de plantes macròfites en un sistema d'aiguamolls de tractament de flux superficial (FS-SAC), dissenyat per minimitzar l'impacte de l'alliberament d'aigua carregada de nutrients a la reserva natural dels Aiguamolls de l'Empordà (Girona, Espanya).

Desarrollo del proceso anammox para el tratamiento de lixiviados: puesta en marcha y aplicación

La eliminación biológica de nitrógeno amoniacal se ha llevado a cabo, habitualmente, a través del proceso convencional de nitrificación-desnitrificación. Sin embargo, los lixiviados generados en los depósitos controlados de residuos sólidos urbanos contienen elevadas cantidades de amonio y bajas concentraciones de materia orgánica biodegradable, así como una elevada salinidad. En este caso, para reducir el elevado coste económico que supone aplicar los procesos convencionales en este tipo de efluentes es conveniente desarrollar sistemas alternativos. Uno de estos nuevos procesos biológicos se basa en el proceso anammox (acrónimo en inglés de anaerobic ammonium oxidation) previa nitritación parcial de amonio a nitrito. El proceso anammox es un proceso autotrófico que realiza la conversión de amonio y nitrito a nitrógeno gas bajo condiciones anaerobias. El menor consumo de oxígeno durante el proceso de nitritación parcial y la no necesidad de adicionar materia orgánica para desnitrificar representan un importante ahorro económico respecto a los tratamientos convencionales