Desarrollo e integración de modelos mecanísticos de proceso para la evaluación de odorantes y GEI de una planta de tratamiento de aguas residuales urbanas

Durante el proceso de depuración del agua residual urbana se produce la liberación de compuestos gaseosos (algunos olorosos) provocando diferentes tipos emisiones gaseosas a la atmósfera. El origen de los compuestos gaseosos emitidos puede deberse tanto a la desorción de sustancias contenidas en el seno del agua residual resultante de los efluentes de las actividades que la desechan, como a la generación de nuevas sustancias durante el proceso de depuración. En este trabajo de investigación se ha desarrollado un modelo dinámico mecanístico que describe el efecto de la microbiología en la generación y transferencia líquido-gas de metano y de sulfuro de hidrógeno en EDARs, siendo este último como principal sustancia odorante bajo condiciones de operación anaerobias. Los resultados alcanzados en este trabajo, se demuestra que la aplicación de modelos mecanísticos de emisiones a las EDARs resultaría factible y de gran utilidad para el control de dichas plantas, proporcionando además una mejora sustancial de la información de emisiones empleada en los modelos de dispersión atmosférica y en las regulaciones sobre calidad del aire que afectan a este tipo de plantas; con especial incidencia en aquellos procesos que presentan comportamientos no lineales

Modeling the Odor Generation in WWTP: An Integrated Approach Review

International audienceNuisance odors generation from waste and wastewater treatment plants are a cause of public discomfort and complaints. This situation impairs the air quality and represents a growing social and public health problem, especially in developing countries. Several modeling approaches have been developed and successfully implemented in the frame of a wastewater treatment plant for both the biological treatment and physicochemical processes. The mathematical modeling of the odor generation process is still considered a quite complex issue, mainly due to the fact that olfactory nuisance can be caused by many different chemical compounds and the perception of odors is influenced by subjective thresholds. Moreover, the impact of odor sources on air quality is highly conditioned by complex atmospheric dispersion processes. This review presents a critical state-of-art and assessment where information related to odor emissions impact studies as well as modeling applications are compiled and discussed

Modeling of the effect of zeolite concentration on the biological nitrification process in the presence of sulfide and organic matter

7 Tablas.-- 5 FigurasThe evaluation of the nitrification kinetics in the simultaneous presence of sulfide and organic matter using zeolite as improver was the main goal of this work. According to the sensitivity and collinearity analyses, five parameters were the most sensitive in the model, whose calibrated values were: μ max, AOB = 0.02642 ± 0.002 h−1; μ max, NOB = 0.3307 ± 0.416 h−1; K S,NOB = 1.65·10−6 ± 2.85·10−6 mgHNO2-N/L; k S2 = 0.8213 ± 0.076 and n = 0.6537 ± 0.030. A good fit between the experimental data and the model’s results including the effect of zeolite on the kinetic parameters was obtained, with Theil inequality coefficient values between 0.109 and 0.007 for all the variables studied, with all of these values lower than 0.3. Thus, the model proposed is robust and can simulate the nitrification process in the presence of sulfide and organic matter when zeolite was used as improver.The authors acknowledge gratefully the financial support provided by FONDECYT (Chile) under Project 1170103 and PhD fellowship 21170147 awarded to L. Acosta-Cordero.Peer reviewe