Contribution of non-pollen palynomorphs to the paleolimnological study of a high-altitude Andean lake (Laguna Verde Alta,Venezuela)     

Valentí Rull  José A. López-Sáez  Teresa Vegas-Vilarrúbia 《Journal of Paleolimnology》2008,40(1):399-411

This paper evaluates the potential usefulness of non-pollen palynomorphs or NPPs (microfossils other than pollen and spores present in palynological preparations) contained in lake sediments in the paleolimnological reconstruction of high altitude environments (>4,000 m) from the Venezuelan Andes. A synthetic, quantitative approach is employed, instead of the classical analytical and mostly qualitative approach commonly used so far for NPPs. The main sources of variation are the Pediastrum–Botryococcus alternation and the relationship between these two algae and animal remains such as Acari legs, postabdomina of Cladocera, mandibles of other invertebrates, and an unknown type called LVA-1. Other significant microfossils are remains of Rivularia-type and turbellarian oocytes, including Gyratrix. The sequence initiates around 15,000 calibrated years before present (cal BP) with the deglaciation of the lake catchment, high water levels and still cold climates. A phase of lower lake levels was recorded between about 12,000 and 6,000 cal BP. Temperatures increased by around 9,000 and 7,000 cal BP, and then decreased until 6,000 cal BP. Since that time, both lake levels and temperature increased again and stabilized at about 4,000 cal BP, when they reach modern-like values. These results show a good agreement with previous studies based on pollen, diatom and oxygen isotope analyses, and provide additional paleoecological information, as for example the possibility of a previously unrecorded Younger Dryas signal. The inclusion of quantitative NPP analysis in routine paleolimnological studies using synthetic methods is thus recommended. Possible future improvements are suggested, mainly those related with the development and use of NPP modern analogs.  相似文献   

Scale-dependent correlations between soil heavy metals and As around four coal-fired power plants of northern Greece     

Nikos Nanos  Theodoros Grigoratos  José Antonio Rodríguez Martín  Constantini Samara 《Stochastic Environmental Research and Risk Assessment (SERRA)》2015,29(6):1531-1543

We analyse the concentration of five trace elements (As, Cu, Ni, Pb and Zn) in the topsoil of the Kozani-Ptolemais basin where four coal-fired power plants run to provide almost 47.8 % of electricity requirements in Greece. We assume that if the power plants have altered the spatial (co)variation of the analysed elements through their toxic by-products, their effect would be observable only on a small spatial scale, since deposition of airborne pollutants is more evident if it is near the emission source. We used Factorial Cokriging to estimate the small-scale correlations among soil elements and to compare them to large spatial-scale correlations. Soil samples were collected from 92 sites. Given the low concentrations in soil heavy metals and As, we observed no serious soil contamination risk. We estimated correlations among the analysed elements on two spatial scales. On the larger scale, Ni and As exhibited higher correlation and received higher weights for the first regionalized factor, contrary to Cu, Pb and Zn which weighted more for the second regionalized factor. On the small spatial scale As associated with neither Ni nor other heavy metals. We conclude that soil arsenic has been altered by enrichment caused by some power plants through fly ash deposition and/or disposal. However, enrichment of soil elements was detectable only on the smaller spatial scale because anthropogenic inputs in soil through airborne emissions and subsequent deposition are evident only in the vicinity of the emission source.  相似文献   

Revisited mixed extreme wave climate model for reanalysis data bases     

R. Mínguez  F. Del Jesus 《Stochastic Environmental Research and Risk Assessment (SERRA)》2015,29(7):1851-1856

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Evaluation of the recorded ground motions for the unusual earthquake of 13 August 2006 (M w 5.3) in Michoacán México     

Alejandro Ramírez-Gaytán  Miguel A. Jaimes  William L. Bandy  Victor M. Huerfano  Ricardo A. Salido-Ruiz 《Journal of Seismology》2015,19(4):881-898

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Analysis of the source scanning algorithm with a new P-wave picker     

J. Zahradník  J. Janský  V. Plicka 《Journal of Seismology》2015,19(2):423-441

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Impact of heat and cold waves on circulatory-cause and respiratory-cause mortality in Spain: 1975–2008     

C. Linares  J. Diaz  A. Tobías  R. Carmona  I. J. Mirón 《Stochastic Environmental Research and Risk Assessment (SERRA)》2015,29(8):2037-2046

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Seismic behaviour of traditional timber frame walls: experimental results on unreinforced walls     

Elisa Poletti  Graça Vasconcelos 《Bulletin of Earthquake Engineering》2015,13(3):885-916

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An investigation of ensemble-based assimilation of satellite altimetry and tide gauge data in storm surge prediction     

Paula Etala  Martín Saraceno  Pablo Echevarría 《Ocean Dynamics》2015,65(3):435-447

Cyclogenesis and long-fetched winds along the southeastern coast of South America may lead to floods in populated areas, as the Buenos Aires Province, with important economic and social impacts. A numerical model (SMARA) has already been implemented in the region to forecast storm surges. The propagation time of the surge in such extensive and shallow area allows the detection of anomalies based on observations from several hours up to the order of a day prior to the event. Here, we investigate the impact and potential benefit of storm surge level data assimilation into the SMARA model, with the objective of improving the forecast. In the experiments, the surface wind stress from an ensemble prediction system drives a storm surge model ensemble, based on the operational 2-D depth-averaged SMARA model. A 4-D Local Ensemble Transform Kalman Filter (4D-LETKF) initializes the ensemble in a 6-h cycle, assimilating the very few tide gauge observations available along the northern coast and satellite altimeter data. The sparse coverage of the altimeters is a challenge to data assimilation; however, the 4D-LETKF evolving covariance of the ensemble perturbations provides realistic cross-track analysis increments. Improvements on the forecast ensemble mean show the potential of an effective use of the sparse satellite altimeter and tidal gauges observations in the data assimilation prototype. Furthermore, the effects of the localization scale and of the observational errors of coastal altimetry and tidal gauges in the data assimilation approach are assessed.  相似文献   

Quantifying Water Pollution Sources in a Small Tile‐drained Agricultural Watershed          下载免费PDF全文

Petr Fučík  Tomáš Hejduk  Jana Peterková 《洁净——土壤、空气、水》2015,43(5):698-709

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Contribution of Methane Benthic and Atmospheric Fluxes of an Experimental Area (Sitka Stream)          下载免费PDF全文

Adam Bednařík  Lubomír Čáp  Vítězslav Maier  Martin Rulík 《洁净——土壤、空气、水》2015,43(8):1136-1142

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