Publications by authors named "Vania Elisabete Schneider"
Water is a crucial resource to produce dairy milk and studies are required to identify opportunities for improvements in water management. This study evaluates the water productivity of milk (WPMilk) produced on 67 farms located in southern Brazil and the influence of dairy cattle production systems (pasture-based, 57 farms; semi-confined, 7 farms; confinement, 3 farms) on water productivity. Indirect and direct water flows were taken into account and the dairy milk was the output.
View Article and Find Full Text PDFThe use of health indicators is indispensable for understanding the complex relationship between the environmental and health fields. For the proposition of environmental health indicators, the Brazilian Ministry of Health (MH) recommends using a model proposed by the World Health Organization. This model is composed of the following elements: Driving Force, Pressure, State, Exposure, Effect, and Action; it is called the DPSEEA model.
View Article and Find Full Text PDFAdenoviruses (AdV) are related to respiratory and gastrointestinal diseases in animals and human beings. Their wide genetic diversity in water bodies and their resistance to environmental conditions allow the use of AdV as a reliable marker for detection of fecal contamination. In this work, the diversity of AdV along Belo Stream - in the city of Caxias do Sul, Rio Grande do Sul, Brazil - was evaluated.
View Article and Find Full Text PDFArticle Synopsis
- Pig farming in South Brazil is a major activity aimed at meeting food demands but contributes to environmental pollution, especially affecting water and soil quality.
- In a study covering the Taquari-Antas Watershed, researchers monitored water quality over two years, collecting samples from 13 locations.
- Findings indicated that areas with dense pig farming had noticeably poorer water quality, with a water quality index (WQI) ranging from "regular" to "good," while all spots remained mesotrophic according to the trophic state index (TSI).
Objectives: to evaluate the heterogeneity of biomedical waste (BW) using Nightingale charts.
Method: cross-sectional study consisting of data collection on wastes (direct observation of receptacles, physical characterisation, and gravimetric composition), development of a Management Information System, and creation of statistical charts.
Results: the wastes with the greatest degree of heterogeneity are, in order, recyclable, infectious, and organic wastes; chemical waste had the most efficient segregation; Nightingale charts are useful for quick visualisation and systematisation of information on heterogeneity.