978 resultados para Subduction Zones


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L’aigua és un dels components bàsics per a la vida i una font d’exposició a contaminants ubiqua, ja que tota la població en consumeix. L’estudi epidemiològic INMA avaluarà si l’exposició a nitrats durant l’embaràs i a la duresa de l’aigua durant la infància es relaciona amb el baix pes al néixer i l’èczema atòpica, respectivament. Objectiu: Fer una avaluació dels nivells de nitrats i duresa de l’aigua en aigua de consum de la població de l’estudi INMA. Metodologia: l’estudi descriptiu realitzat a quatre de les set cohorts INMA, a Astúries, Guipúscoa, Sabadell i València. S’ha recopilat dades dels nivells de nitrats i duresa a l’aigua de consum dels municipis durant el període d’interès (2003 al 2008 i 2004 al 2012), a través d’ajuntaments i companyies d’aigua. S’ha calculat la mitjana, la desviació estàndard, el màxim i el mínim dels nivells de nitrat i de duresa en total i segons l’àrea geogràfica, l’any i l’estació. A Sabadell s’han fet tres mostrejos d’aigua per analitzar la duresa a diferents punts de la ciutat. Resultats: el nivell promig de nitrats (mg/L NO3-) és de 4,2 a Astúries, 4,0 a Guipúscoa, 9,2 a Sabadell i 15,2 a València. El nivell promig de duresa (mg/L CaCO3) és de 89,1 a Astúries, 132,7 al Guipúscoa, 178,3 a València i 230,9 a Sabadell. En l’anàlisi que es va realitzar a Sabadell, es detecta una duresa lleugerament inferior a la reportada sense variabilitat geogràfica. No s’observa una pauta clara de variabilitat estacional ni de variabilitat temporal tant per nitrats com per duresa. Conclusions: S’ha detectat variabilitat en els nivells de nitrats i duresa de l’aigua a les zones d’estudi. Els nivells de nitrats són moderats i els més alts es troben a zones agrícoles de València. La duresa de l’aigua és força alta degut al domini calcari dels subsòls de les zones d’estudi.

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Increase of the metropolitan area of cities provoking a progressive settlement of zones that previously had a different territorial use. These zones are usually located within city houndaries and for many years have been affected hy the waste of many kinds of residues. Qualitative analysis of the electrical behaviour of soil, based on maps and cross sections of apparent conductivity, allows us to locate anomalies generated by the wastes. Moreover, the electrornagnetic techniques (EM-31 and EM-34 Geonics devices) are cheaper than other survey methods. Two examples in the campus of the University of Girona, in the southern area of Girona city, illustrate the environmental problem and the applicability of the geophysical method

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Since 1978, the unity of Geodynamics of the University of Girona has been publishing a series of detailed geological and geomorphological maps of different municipal terms of the Province of Girona, mainly on the scale of 1:10.000, situated for the major part in the Littoral and Prelittoral mountain ranges of the Cadena Costera Catalana. These mountain ranges are constituted of materials belonging to the palaeozoic era, basically metamorphous and igneous rocks (plutomc and hypoabyssal rocks)

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Through the site-specific management, the precision agriculture brings new techniques for the agricultural sector, as well as a larger detailing of the used methods and increase of the global efficiency of the system. The objective of this work was to analyze two techniques for definition of management zones using soybean yield maps, in a productive area handled with localized fertilization and other with conventional fertilization. The sampling area has 1.74 ha, with 128 plots with site-specific fertilization and 128 plots with conventional fertilization. The productivity data were normalized by two techniques (normalized and standardized equivalent productivity), being later classified in management zones. It can be concluded that the two methods of management zones definition had revealed to be efficient, presenting similarities in the data disposal. Due to the fact that the equivalent standardized productivity uses standard score, it contemplates a better statistics justification.

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The study of spatial variability of soil and plants attributes, or precision agriculture, a technique that aims the rational use of natural resources, is expanding commercially in Brazil. Nevertheless, there is a lack of mathematical analysis that supports the correlation of these independent variables and their interactions with the productivity, identifying scientific standards technologically applicable. The aim of this study was to identify patterns of soil variability according to the eleven physical and seven chemical indicators in an agricultural area. It was used two multivariate techniques: the hierarchical cluster analysis (HCA) and the principal component analysis (PCA). According to the HCA, the area was divided into five management zones: zone 1 with 2.87ha, zone 2 with 0.8ha, zone 3 with 1.84ha, zone 4 with 1.33ha and zone 5 with 2.76ha. By the PCA, it was identified the most important variables within each zone: V% for the zone 1, CTC in the zone 2, levels of H+Al in the zone 4 and sand content and altitude in the zone 5. The zone 3 was classified as an intermediate zone with characteristics of all others. According to the results it is concluded that it is possible to separate into groups (management zones) samples with the same patterns of variability by the multivariate statistical techniques.

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Several equipments and methodologies have been developed to make available precision agriculture, especially considering the high cost of its implantation and sampling. An interesting possibility is to define management zones aim at dividing producing areas in smaller management zones that could be treated differently, serving as a source of recommendation and analysis. Thus, this trial used physical and chemical properties of soil and yield aiming at the generation of management zones in order to identify whether they can be used as recommendation and analysis. Management zones were generated by the Fuzzy C-Means algorithm and their evaluation was performed by calculating the reduction of variance and performing means tests. The division of the area into two management zones was considered appropriate for the present distinct averages of most soil properties and yield. The used methodology allowed the generation of management zones that can serve as source of recommendation and soil analysis; despite the relative efficiency has shown a reduced variance for all attributes in divisions in the three sub-regions, the ANOVA did not show significative differences among the management zones.

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Clustering soil and crop data can be used as a basis for the definition of management zones because the data are grouped into clusters based on the similar interaction of these variables. Therefore, the objective of this study was to identify management zones using fuzzy c-means clustering analysis based on the spatial and temporal variability of soil attributes and corn yield. The study site (18 by 250-m in size) was located in Jaboticabal, São Paulo/Brazil. Corn yield was measured in one hundred 4.5 by 10-m cells along four parallel transects (25 observations per transect) over five growing seasons between 2001 and 2010. Soil chemical and physical attributes were measured. SAS procedure MIXED was used to identify which variable(s) most influenced the spatial variability of corn yield over the five study years. Basis saturation (BS) was the variable that better related to corn yield, thus, semivariograms models were fitted for BS and corn yield and then, data values were krigged. Management Zone Analyst software was used to carry out the fuzzy c-means clustering algorithm. The optimum number of management zones can change over time, as well as the degree of agreement between the BS and corn yield management zone maps. Thus, it is very important take into account the temporal variability of crop yield and soil attributes to delineate management zones accurately.

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ABSTRACT Precision agriculture (PA) allows farmers to identify and address variations in an agriculture field. Management zones (MZs) make PA more feasible and economical. The most important method for defining MZs is a fuzzy C-means algorithm, but selecting the variable for use as the input layer in the fuzzy process is problematic. BAZZI et al. (2013) used Moran’s bivariate spatial autocorrelation statistic to identify variables that are spatially correlated with yield while employing spatial autocorrelation. BAZZI et al. (2013) proposed that all redundant variables be eliminated and that the remaining variables would be considered appropriate on the MZ generation process. Thus, the objective of this work, a study case, was to test the hypothesis that redundant variables can harm the MZ delineation process. BAZZI This work was conducted in a 19.6-ha commercial field, and 15 MZ designs were generated by a fuzzy C-means algorithm and divided into two to five classes. Each design used a different composition of variables, including copper, silt, clay, and altitude. Some combinations of these variables produced superior MZs. None of the variable combinations produced statistically better performance that the MZ generated with no redundant variables. Thus, the other redundant variables can be discredited. The design with all variables did not provide a greater separation and organization of data among MZ classes and was not recommended.

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A partir de projets de conservation de la biodiversité ou de gestion intégrée des zones humides méditerranéennes, cet article montre que le développement durable de ces milieux relève avant tout d’une réflexion politique sur le maldéveloppement. Les projets de conservation de la biodiversité tentent de concilier conservation et développement avec divers succès. Parmi les obstacles, la réduction de la ressource en eau douce s’ajoute aux inégalités sociales et à la pauvreté. Favoriser et gérer les changements institutionnels, accroître le capital social des parties prenantes, apprendre et décider collectivement, constituent les éléments clés du développement durable.Il existe encore de nombreuses disparités dans les processus démocratiques aux échelles locales,régionales et nationales,mais un développement participatif est proposé. En étant davantage centré sur les besoins des populations locales que sur la croissance économique,en étant plus réflexif,en plaçant la critique de la science et la co-construction de projets au coeur du processus, le développement participatif des zones humides méditerranéennes peut offrir une alternative aux approches qui ont prévalues jusqu’à présent. Le développement durable des zones humides méditerranéennes est encore possible s’il accroît la capacité d’adaptation des systèmes sociaux et écologiques afin de repousser toute irréversibilité.