A5043503965- Optimization and Mathematical Programming
- Wastewater Treatment and Nitrogen Removal
- Water Resource Management and Quality
- Advanced oxidation water treatment
- Soil and Land Suitability Analysis
- Soil Management and Crop Yield
- Membrane Separation Technologies
- Biofuel production and bioconversion
- Water Quality Monitoring and Analysis
- Soil Geostatistics and Mapping
- Anaerobic Digestion and Biogas Production
Instituto Tecnológico de Culiacán
2017
The main environmental factors that assured the stability of an anaerobic batch process for treatment slaughterhouse wastewater were evaluated. reactor was inoculated with sludge from a distillery plant. volume produced CH4 proportional to quantity organic matter removed (measured as Chemical Oxygen Demand, COD). overall removal 75%. acetic, propionic and butyric acids concentration profiles similar, where acetic acid had highest throughout study period. response time recorded between...
The knowledge of the soil quality plays a vital role in agricultural sector. Despite its importance, there is scarce scientific information concerning this regard. objective research to develop methodology identify and select most appropriate indicators Soil Quality Index (SQI) region with high activity. For conformation, descriptive statistical analysis Pearson correlation matrix were performed that showed greater variation identified using Principal Components Analysis (PCA). A sensitivity...
An assessment of a lab-scale Upflow Anaerobic Filter (UAF) reactor used to treat slaughterhouse wastewater was carried out with varying operating conditions for Hydraulic Retention Time (HRT) and temperature. The best organic matter removal efficiency, measured as Chemical Oxygen Demand (COD), 86.1% at HRT 24h 35ºC. Under steady state conditions, the first-order, Stover-Kincannon Grau-second-order kinetic models were represent kinetics in UAF. experimental data showed that Grau most suitable...
Desirability function is a statistical methodology that can be applied to find optimal solutions for response variables in multiple objective optimisations. widely used finding global optimum several manufacturing processes, including food processes. In this investigation factorial design 24 with four centre points was out the best formulation conditions cucumber chutney production process. The factors taken into account were: osmotic dehydration time, thermal treatment temperature and...
Desirability function is a statistical methodology that can be applied to find optimal solutions for response variables in multiple objective optimisations. widely used finding global optimum several manufacturing processes, including food processes. In this investigation factorial design 24 with four centre points was out the best formulation conditions cucumber chutney production process. The factors taken into account were: osmotic dehydration time, thermal treatment temperature and...