Modelación de una estructura hidráulica de confluencia de canales urbanos. Caso estudio: río Arzobispo, Bogotá D.C.

Trabajo de InvestigaciónEn el presente trabajo se realizó una modelación de una estructura hidráulica de canales urbanos en el sitio de confluencia del canal Río Arzobispo. Se implementaron estudios topográficos del lugar,para continuar con la modelación de la estructura, con un software computacional calculando los niveles de agua, caudales, velocidades régimen de flujo para la estructura en los casos críticos de inundación.INTRODUCCIÓN 1. GENERALIDADES 2. CARACTERIZACIÓN DE LA ESTRUCTURA 3. MODELACIÓN HIDRÁULICA CONCLUSIONES RECOMENDACIONES BIBLIOGRAFÍA ANEXOSPregradoIngeniero Civi

Optimization of adsorptive removal of α-toluic acid by CaO2 nanoparticles using response surface methodology

The present work addresses the optimization of process parameters for adsorptive removal of α-toluic acid by calcium peroxide (CaO2) nanoparticles using response surface methodology (RSM). CaO2 nanoparticles were synthesized by chemical precipitation method and confirmed by Transmission electron microscopy (TEM) and high-resolution TEM (HRTEM) analysis which shows the CaO2 nanoparticles size range of 5–15 nm. A series of batch adsorption experiments were performed using CaO2 nanoparticles to remove α-toluic acid from the aqueous solution. Further, an experimental based central composite design (CCD) was developed to study the interactive effect of CaO2 adsorbent dosage, initial concentration of α-toluic acid, and contact time on α-toluic acid removal efficiency (response) and optimization of the process. Analysis of variance (ANOVA) was performed to determine the significance of the individual and the interactive effects of variables on the response. The model predicted response showed a good agreement with the experimental response, and the coefficient of determination, (R2) was 0.92. Among the variables, the interactive effect of adsorbent dosage and the initial α-toluic acid concentration was found to have more influence on the response than the contact time. Numerical optimization of process by RSM showed the optimal adsorbent dosage, initial concentration of α-toluic acid, and contact time as 0.03 g, 7.06 g/L, and 34 min respectively. The predicted removal efficiency was 99.50%. The experiments performed under these conditions showed α-toluic acid removal efficiency up to 98.05%, which confirmed the adequacy of the model prediction