Isotopic signatures for the assessment of snow water resources in the Moroccan high Atlas mountains: contribution to surface and groundwater recharge     

Angoran Baudelaire N’da  Lhoussaine Bouchaou  Barbara Reichert  Lahoucine Hanich  Yassine Ait Brahim  Abdelghani Chehbouni  El Hassane Beraaouz  Jean-Luc Michelot 《Environmental Earth Sciences》2016,75(9):755

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Biogeochemical mechanisms controlling trophic state and micropollutant concentrations in a tropical artificial lake     

Normara Yane Mar da Costa  Geraldo Resende Boaventura  Daniel Santos Mulholland  Daniel Ferreira Araújo  Ricardo C. A. Moreira  Kelson C. F. Faial  Eudes de Oliveira Bomfim 《Environmental Earth Sciences》2016,75(10):854

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Concentrations and physicochemical speciation of heavy metals in urban runoff sediment from São Gonçalo—Rio de Janeiro/Brazil     

José Antônio Baptista Neto  Carlos Marclei Arruda Rangel  Estefan Monteiro Da Fonseca  Marília Teresa Lima Do Nascimento  Ana Dalva De Oliveira Santos  Bruno Cezar Baptista Rodrigues  Gustavo Vaz De Melo 《Environmental Earth Sciences》2016,75(17):1209

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Hydrochemical and sedimentological dynamics in a subtropical plain river: assessment by multivariate statistical analysis     

Paola A. Suárez  Marisol Vega  Rafael Pardo  Oscar Orfeo  José Luis García Cuesta  Alicia Ronco 《Environmental Earth Sciences》2016,75(12):1004

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Correlation between rainfall and landslides in Nova Friburgo,Rio de Janeiro—Brazil: a case study     

Nathalia Silva de Oliveira  Otto Correia Rotunno Filho  Edilson Marton  Corbiniano Silva 《Environmental Earth Sciences》2016,75(20):1358

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False low water content in road field compaction control using nuclear gauges: a case study     

Mário Quinta-Ferreira  José Feiteira Dias  Santiago Alija 《Environmental Earth Sciences》2016,75(14):1114

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Gravimetric and magnetic fabric study of the Sintra Igneous complex: laccolith-plug emplacement in the Western Iberian passive margin     

Terrinha  Pedro  Pueyo  Emilio L.  Aranguren  Aitor  Kullberg  José Carlos  Kullberg  Maria Carla  Casas-Sainz  Antonio  Azevedo  Maria do Rosário 《International Journal of Earth Sciences》2018,107(5):1807-1833

International Journal of Earth Sciences - The geometry and emplacement of the ~ 96 km2, Late Cretaceous Sintra Igneous complex (SIC, ca. 80 Ma) into the West Iberian passive...  相似文献   

The Juchatengo complex: an upper-level ophiolite assemblage of late Paleozoic age in Oaxaca,southern Mexico     

Grajales-Nishimura  José Manuel  Ramos-Arias  Mario Alfredo  Solari  Luigi  Murillo-Muñetón  Gustavo  Centeno-García  Elena  Schaaf  Peter  Torres-Vargas  Ricardo 《International Journal of Earth Sciences》2018,107(3):1005-1031

International Journal of Earth Sciences - The Juchatengo complex (JC) suite is located between the Proterozoic Oaxacan complex to the north and the Xolapa complex to the south, and was amalgamated...  相似文献   

Apatite-hosted melt inclusions from the Panzhihua gabbroic-layered intrusion associated with a giant Fe–Ti oxide deposit in SW China: insights for magma unmixing within a crystal mush     

Kun?Wang  Christina?Yan?WangEmail author  Zhong-Yuan?RenEmail author 《Contributions to Mineralogy and Petrology》2018,173(7):59

The ～?2-km-thick Panzhihua gabbroic-layered intrusion in SW China is unusual because it hosts a giant Fe–Ti oxide deposit in its lower zone. The deposit consists of laterally extensive net-textured and massive Fe–Ti oxide ore layers, the thickest of which is ～?60 m. To examine the magmatic processes that resulted in the Fe enrichment of parental high-Ti basaltic magma and the formation of thick, Fe–Ti oxide ore layers, we carried out a detailed study of melt inclusions in apatite from a ～?500-m-thick profile of apatite-bearing leucogabbro in the middle zone of the intrusion. The apatite-hosted melt inclusions are light to dark brown in color and appear as polygonal, rounded, oval and negative crystal shapes, which range from ～?5 to ～?50 µm in width and from ～?5 to ～?100 µm in length. They have highly variable compositions and show a large and continuous range of SiO₂ and FeO_t with contrasting end-members; one end-member being Fe-rich and Si-poor (40.2 wt% FeO_t and 17.7 wt% SiO₂) and the other being Si-rich and Fe-poor (74.0 wt% SiO₂ and 1.20 wt% FeO_t). This range in composition may be attributed to entrapment of the melt inclusions over a range of temperature and may reflect the presence of µm-scale and immiscible Fe-rich and Si-rich components in different proportions. Simulating results for the motion of Si-rich droplets within a crystal mush indicate that Si-rich droplets would be separated from Fe-rich melt and migrate upward due to density differences in the interstitial liquid when the magma unmixed. Migration of the Si-rich, immiscible liquid component from the interstitial liquid caused the remaining Fe-rich melt in the lower part to react with plagioclase primocrysts (An_59–60), as evidenced by fine-grained lamellar intergrowth of An-rich plagioclase (An_79–84)?+?clinopyroxene in the oxide gabbro of the lower zone. Therefore, magma unmixing within a crystal mush, combined with gravitationally driven loss of the Si-rich component, resulted in the formation of Fe-rich, melagabbro and major Fe–Ti oxide ores in the lower part and Si-rich, leucogabbro in the upper part of the intrusion.  相似文献   

Mapping fractional landscape soils and vegetation components from Hyperion satellite imagery using an unsupervised machine-learning workflow     

Michael J. Friedel  Massimo Buscema  Luiz Eduardo Vicente  Fabio Iwashita  Andréa Koga-Vicente 《International Journal of Digital Earth》2018,11(7):670-690

An unsupervised machine-learning workflow is proposed for estimating fractional landscape soils and vegetation components from remotely sensed hyperspectral imagery. The workflow is applied to EO-1 Hyperion satellite imagery collected near Ibirací, Minas Gerais, Brazil. The proposed workflow includes subset feature selection, learning, and estimation algorithms. Network training with landscape feature class realizations provide a hypersurface from which to estimate mixtures of soil (e.g. 0.5 exceedance for pixels: 75% clay-rich Nitisols, 15% iron-rich Latosols, and 1% quartz-rich Arenosols) and vegetation (e.g. 0.5 exceedance for pixels: 4% Aspen-like trees, 7% Blackberry-like trees, 0% live grass, and 2% dead grass). The process correctly maps forests and iron-rich Latosols as being coincident with existing drainages, and correctly classifies the clay-rich Nitisols and grasses on the intervening hills. These classifications are independently corroborated visually (Google Earth) and quantitatively (random soil samples and crossplots of field spectra). Some mapping challenges are the underestimation of forest fractions and overestimation of soil fractions where steep valley shadows exist, and the under representation of classified grass in some dry areas of the Hyperion image. These preliminary results provide impetus for future hyperspectral studies involving airborne and satellite sensors with higher signal-to-noise and smaller footprints.  相似文献