MJ. Pereira, C. Branquinho
The present paper addresses a lichen calibration with physical monitors, specifically dust gauges, to enable their use as biomonitors of atmospheric deposition from fugitive dust emissions of mining activity. The study employs linear regressions between Cu values in lichens, directional dust gauges, and precipitation, showing strong correlations. The findings indicate that biomonitoring is a cost-effective and reliable method for assessing air quality, allowing for extensive and flexible sampling. Additionally, a Gaussian dispersion model was utilized, integrating lichen and meteorological data along with technological parameters of the mine, to achieve the spatial characterization of the regional air pollution impact. Preliminary results from this model are evaluated against the data obtained from the lichen monitoring, demonstrating the potential of integrating biological indicators in pollution studies.
@article{a7830ff4-c7d7-4329-95fc-e2de0dc7b914,
title={Modelling air pollution in a copper mine by using physical and biological monitoring},
author={MJ. Pereira and C. Branquinho},
year={1995},
language={pt}
}TY - JOUR TI - Modelling air pollution in a copper mine by using physical and biological monitoring AU - MJ. Pereira AU - C. Branquinho PY - 1995 LA - pt ER -
F. Schinner, R. Sonnleitner
Die Bodenmikrobiologie hat sich vor etwa einem Jahrhundert als eigenständige Wissenschaft etabliert, wobei die frühen Forschungsanstrengungen sich auf
ULRIKE BAUMANN, N. BIGGS
A perfect colouring of a simple undirected connected graph G is an edge colouring such that each vertex is incident with exactly one edge of each colo
This paper addresses the challenge of assessing the feasibility of wind power plant projects at sites with insufficient or no local historic wind data
Important advances in electrochemical engineering technology over the last three decades have fostered the development of a lternative methods to alle