Utilización de columnas verticales de filtración de manta y arena como pre-tratamiento de un sistema de filtración lenta

Slow sand filtration is an efficient water treatment technique used for treating surface water with relatively low levels of contamination. Despite the slow sand filtration at pathogen, algae and cyanobacteria removal efficiency, it has some restrictions in relation to the required area for slow filters, and the cleaning activities for the filters and the stone pre-filters when used in the treatment. This research evaluated during 120 days the use of non woven & sand pre-filtration columns as part of a slow filtration process for the apparent color, turbidity, algae, cyanobacteria, phytoflagellates and diatomaceous. The columns shown an efficient removal of the monitored parameters and demonstrated as a vantage their faster and easier cleaning process and less awkward than the required to the stone pre-filters. The turbidity removal efficiency increased progressively during the experiment, especially after the first 35 days of the start; the apparent color removal by the pre-filtration columns was of 85%, and working together with the polishing of activated carbon columns was up to 95; the diatomaceous, phytoflagellates, algae and cyanobacteria removal by the columns achieve a weekly average of 95%, its recommended to use filtration rates lower to 1,5m(3)/m(2)/d.

Development of technologies and methods for monitoring the spatial variability of air temperature in greenhouse environment

Climatic factors directly influence growth and productivity of plants inside greenhouses, where temperature can be considered one of the major parameter in this context. Thus, the aim of this research was to develop a low cost device for thermal sensing and data acquisition, and use it in data collection and analysis of spatial variability of temperature inside a greenhouse with tropical climate. The developed equipment for thermal measurements showed a high degree of accuracy and fast responses in measurements, proving its efficiency. The data analysis interpretations were made from the elaborations of variograms and of tridimensional maps generated by a geostatistical software. The processed data analysis presented that a greenhouse without thermal control has spatial variations of air temperature, both in the sampled horizontals layers as in the three analyzed vertical columns, presenting variations of up to 3.6 ºC in certain times.