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Presencia de Legionella spp. en depósitos domiciliarios de agua potable en Resistencia, Chaco, Argentina. Informe preliminar Full text
2016
Lösch, Liliana S. | Merino, Luis A.
Legionella spp. is an environmental bacterium that can survive in a wide range of physicochemical conditions and may colonize distribution systems of drinking water and storage tanks. Legionella pneumophila is the major waterborne pathogen that can cause 90% of Legionnaires’ disease cases. The aim of this study was to detect the presence of Legionella spp. in household drinking water tanks in the city of Resistencia, Chaco. The detection of Legionella in water samples was performed by culture methods as set out in ISO 11731:1998. Thirty two water samples were analyzed and Legionella spp. was recovered in 12 (37.5%) of them. The monitoring of this microorganism in drinking water is the first step towards addressing the control of its spread to susceptible hosts.
Show more [+] Less [-]Modeling and monitoring of mine water rebound in an abandoned coal mine complex: Siersza Mine, Upper Silesian Coal Basin, Poland | Modélisation et suivi de la remontée de l’eau de mine dans un complexe abandonné de mine de charbon: Mine de Siersza, Bassin houiller Haute Silésie, Pologne Modelado y monitoreo del agua de recuperación de una mina en un complejo de minas de carbón abandonadas: Siersza Mine, Upper Silesian Coal Basin, Polonia 废弃煤矿中矿坑充水的模拟与监测--以波兰Upper Silesian煤盆Siersza煤矿为例 Modelação e monitorização da recuperação de níveis da água de mina num complexo mineiro a céu aberto: Mina de Siersza, Bacia Carbonífera da Alta Silésia, Polónia Full text
2010
Banks, David | Frolik, Adam | Gzyl, Grzegorz | Rogoż, Marek
A variable-volume, head-dependent mine water filling model (MIFIM) has been utilized to simulate the post-abandonment flooding of the Siersza coal mine in the Upper Silesian Coal Basin of southern Poland. It is demonstrated that desaturated pore space in the aquifer adjacent to the mine comprises a significant component of the resaturable mine-related void. The model results are very sensitive to the value of this poorly constrained parameter. Nevertheless, the model successfully predicted the first appearance of mine water in an observation well and its subsequent rise. Despite this apparent success, it is concluded that such modeling approaches generally lack predictive power for mines in permeable, porous host rocks. As real monitoring data accumulate, however, such models can be calibrated and their utility increased.
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