Reflectance spectral analyses for the assessment of environmental pollution in the geothermal site of Mt. Amiata (Italy)
详细信息 查看全文
- 作者：Ciro Manzo ; Riccardo Salvini ; Enrico Guastaldi ; Valentina Nicolardi ; Giuseppe Protano
- 关键词：Geothermal activity ; Environmental pollution ; Reflectance spectra ; Red-edge shift ; Geostatistics
- 刊名：Atmospheric Environment
- 出版年：2013
- 出版时间：November, 2013
- 年：2013
- 卷：79
- 期：Complete
- 页码：650-665
- 全文大小：10374 K
文摘
We studied the environmental impact of geothermal activities in the Mt. Amiata area, using on-site spectral analyses of various ecological components. Analytical techniques were based on the study of the ¡°red-edge¡±, which represents the spectral feature of the reflectance spectra defined between red and infrared wavelengths (¦Ë) within the range 670-780?nm. Since in the study area the geothermal exploitation causes the drifting of contaminants such as Hg, Sb, S, B, As and H2S (hydrogen sulfide) from power plants, the spectral response of vegetation and lichens depends on their distance from the power stations, and also on the exposed surface, material type and other physical parameters. In the present research, the spectral radiance of targets was measured in the field using an Analytical Spectral Device (ASD) Field-Spec?FR portable radiometer. Spectral measurements were made on vegetation and lichen samples located near to and far from geothermal areas and potential pollution sources (e.g., power plants), with the aim of spatially defining their environmental impact. Observations for vegetation and lichens showed correlation with laboratory chemical analyses when these organisms were under stress conditions. The evaluation of relationships was carried out using several statistical approaches, which allowed to identify methods for identifying contamination indicators for plants and lichens in polluted areas. Results show that the adopted spectral indices are sensitive to environmental pollution and their responses spatialstatically correlated to chemical and ecophysiological analyses within a notable distance.