Abstract
Sea salt, the major particulate material in the tropospheric cycle, becomes a cause of serious air contamination inland, by promoting accelerated degradation of materials and land desertification. The use of biomonitors is a valuable method in assessing saline deposition, complementing the information given by physical samplers. The deposition of saline elements on the Portuguese south-west coastal area was measured by a lichen biomonitoring programme for four years and two major variability factors were identified as conditioners of the deposition of saline elements: distance to the coast and precipitation. The concentration of chloride was estimated several times, using a spherical variogram model with geometric anisotropy on both space and time axes. The estimation was done by kriging with external drift and kriging with soft information, using an auxiliary variable modelled by multiple regression as soft information, and the results were compared with ordinary kriging. A comparison is also presented between the external drift estimation of a spatial model, using the distance to the coast as drift, and the spatio-temporal model with the drift model defined in this study.
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Figueira, R., Sousa, A.J., Pacheco, A.M.G., Catarino, F. (1999). Space-Time Geostatistical Modelling: a Case Study of Sea-Salt Measured on Lichens. In: Gómez-Hernández, J., Soares, A., Froidevaux, R. (eds) geoENV II — Geostatistics for Environmental Applications. Quantitative Geology and Geostatistics, vol 10. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-9297-0_5
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DOI: https://doi.org/10.1007/978-94-015-9297-0_5
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