Distribuição do mercúrio nas águas termais e engarrafadas do Norte de Portugal

O aumento da utilização do mercúrio, Hg, tanto para fins industriais como na aplicação de compostos mercuriais na agricultura, originaram um aumento significativo da contaminação ambiental, especialmente das águas e dos alimentos. Foi aprofundado o estudo sobre o mercúrio, nomeadamente as suas principais fontes de emissão, a sua toxicidade, os principais efeitos nos seres humanos, algumas medidas preventivas, os limites máximos que a legislação permite, que no caso das águas analisadas é de 0,001mg/L, os métodos analíticos para a sua determinação e alguns métodos de amostragem, tanto para o mercúrio em águas como em sedimentos. Em Almadén (Espanha), existe uma mina que pode ser considerada como uma das maiores anomalias geoqímica de mercúrio na Terra. Com este trabalho pretendeu-se perceber a possível existência de mercúrio nas águas termais ao longo da zona de falha Penacova-Régua-Verin e avaliar a existência de uma relação entre os níveis de mercúrio e o seu contexto geológico. Neste trabalho, foi desenvolvido um método simples para a determinação dos níveis de mercúrio em águas, utilizando a espectrometria de absorção atómica de fonte contínua de alta resolução acoplado à técnica de vapor frio. O objectivo deste trabalho foi avaliar os níveis de mercúrio existente em algumas águas engarrafadas e termais. Os limites de detecção da técnica utilizada foram 0,0595 μg/L e os de quantificação foram 0,2100 μg/L. Depois de analisadas as amostras verificou-se que os níveis de mercúrio encontrados nas águas eram inferiores ao limite de quantificação da técnica e por isso, não foi possível extrapolar qualquer relação entre os níveis de mercúrio e as alterações do fundo geológico. Como o limite de quantificação é inferior ao limite máximo permitido por lei, pode então dizer-se que todas as águas se encontram abaixo do limite máximo permitido.

On sampling collection procedure effectiveness for forest soil characterization

One of the most important measures to prevent wild forest fires is the use of prescribed and controlled burning actions as it reduce the fuel mass availability. The impact of these management activities on soil physical and chemical properties varies according to the type of both soil and vegetation. Decisions in forest management plans are often based on the results obtained from soil-monitoring campaigns. Those campaigns are often man-labor intensive and expensive. In this paper we have successfully used the multivariate statistical technique Robust Principal Analysis Compounds (ROBPCA) to investigate on the sampling procedure effectiveness for two different methodologies, in order to reflect on the possibility of simplifying and reduce the sampling collection process and its auxiliary laboratory analysis work towards a cost-effective and competent forest soil characterization.

Soil sampling design and sampling techniques for soil properties monitoring – common difficulties related to forest soils

Mathematical models and statistical analysis are key instruments in soil science scientific research as they can describe and/or predict the current state of a soil system. These tools allow us to explore the behavior of soil related processes and properties as well as to generate new hypotheses for future experimentation. A good model and analysis of soil properties variations, that permit us to extract suitable conclusions and estimating spatially correlated variables at unsampled locations, is clearly dependent on the amount and quality of data and of the robustness techniques and estimators. On the other hand, the quality of data is obviously dependent from a competent data collection procedure and from a capable laboratory analytical work. Following the standard soil sampling protocols available, soil samples should be collected according to key points such as a convenient spatial scale, landscape homogeneity (or non-homogeneity), land color, soil texture, land slope, land solar exposition. Obtaining good quality data from forest soils is predictably expensive as it is labor intensive and demands many manpower and equipment both in field work and in laboratory analysis. Also, the sampling collection scheme that should be used on a data collection procedure in forest field is not simple to design as the sampling strategies chosen are strongly dependent on soil taxonomy. In fact, a sampling grid will not be able to be followed if rocks at the predicted collecting depth are found, or no soil at all is found, or large trees bar the soil collection. Considering this, a proficient design of a soil data sampling campaign in forest field is not always a simple process and sometimes represents a truly huge challenge. In this work, we present some difficulties that have occurred during two experiments on forest soil that were conducted in order to study the spatial variation of some soil physical-chemical properties. Two different sampling protocols were considered for monitoring two types of forest soils located in NW Portugal: umbric regosol and lithosol. Two different equipments for sampling collection were also used: a manual auger and a shovel. Both scenarios were analyzed and the results achieved have allowed us to consider that monitoring forest soil in order to do some mathematical and statistical investigations needs a sampling procedure to data collection compatible to established protocols but a pre-defined grid assumption often fail when the variability of the soil property is not uniform in space. In this case, sampling grid should be conveniently adapted from one part of the landscape to another and this fact should be taken into consideration of a mathematical procedure.

Analysis of Forest Fires by means of Pseudo Phase Plane and Multidimensional Scaling Methods

Forest fires dynamics is often characterized by the absence of a characteristic length-scale, long range correlations in space and time, and long memory, which are features also associated with fractional order systems. In this paper a public domain forest fires catalogue, containing information of events for Portugal, covering the period from 1980 up to 2012, is tackled. The events are modelled as time series of Dirac impulses with amplitude proportional to the burnt area. The time series are viewed as the system output and are interpreted as a manifestation of the system dynamics. In the first phase we use the pseudo phase plane (PPP) technique to describe forest fires dynamics. In the second phase we use multidimensional scaling (MDS) visualization tools. The PPP allows the representation of forest fires dynamics in two-dimensional space, by taking time series representative of the phenomena. The MDS approach generates maps where objects that are perceived to be similar to each other are placed on the map forming clusters. The results are analysed in order to extract relationships among the data and to better understand forest fires behaviour.