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The Temporal Variability of the Freshwater Discharge and Water Levels at the Patos Lagoon,Brazil
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作者 Wiliam Correa Marques 《International Journal of Geosciences》 2012年第4期758-766,共9页
The direct influence of freshwater discharge along the coastal regions is observed in several processes following a wide spectrum on spatial and temporal variability. The knowledge of relative importance of this physi... The direct influence of freshwater discharge along the coastal regions is observed in several processes following a wide spectrum on spatial and temporal variability. The knowledge of relative importance of this physical forcing is fundamental by the correct management of the coastal sites and the understanding of consequences associated with processes of climatic order is one point deserves some investigation. The major part of the studies in the Patos Lagoon, located in the southernmost part of Brazil, is limited to investigate the effects in synoptic time scales. In this way, the objective of this study is to investigate the long term variability pattern of the Patos Lagoon discharge and water levels indentifying long term trends through wavelet analysis. The results indicated that El Ni?o (La Ni?a) events promote the intensification (decrease) of the freshwater intensity in the principal river tributaries of the Patos Lagoon following scales from 16 to 120 months (from 1.3 to 10 years). The most energetic cycle is centered in periods of 64 months (5.3 years). The longer events reflect the long term response of the non linear dynamics in Equatorial Pacific changing the precipitation pattern, principally during winter and at the end of spring and early autumn. The non-linear long term trend indicates a pattern with values of discharge normally above (below) the mean after (before) 1970’s. An increasing trend starting after 1970 possibly indicates a longer term cycle influencing the interannual variability of the Patos Lagoon discharge. The seasonality is maintained in climatic monthly means obtained after and before 1970’s, but, with mean increase around 364 m3·s?1 in freshwater discharge with reduced amplitude of the seasonal cycle. 展开更多
关键词 Freshwater Discharge El Nino La Nina wavelet analyzes
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Identify fine microstructure of multifarious iron oxides via O K-edge EELS spectra
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作者 Junnan Chen Yujie Qi +2 位作者 Ming Lu Yiming Niu Bingsen Zhang 《Chinese Chemical Letters》 SCIE CAS CSCD 2022年第9期4375-4379,共5页
Relying on the electron energy loss spectrum(EELS)of metallic elements to obtain microstructure analysis is an investigation method of the reaction mechanisms of transition metal oxides(TMOs)in catalysis,energy storag... Relying on the electron energy loss spectrum(EELS)of metallic elements to obtain microstructure analysis is an investigation method of the reaction mechanisms of transition metal oxides(TMOs)in catalysis,energy storage and conversion.However,the low signal from K shell owing to insufficient electron beam energy,and the complicated electronic structure in L shell of the metal element restrict the analysis of the coordination environment of the TMOs.Herein,density functional theory(DFT)calculation,Fourier transform(FT)and wavelet transform(WT)were employed to probe the relationship between the four individual peaks in O K-edge spectra of iron oxides and the microstructure information(chemical bonds and atomic coordination).The findings show that the peak amplitude ration is in a linear correlation with the valence state of Fe element,and that the coordination number obtained by radial distribution function(RDF)is favorably linearly correlative with that from the standard coordination structure model.As a result,the quantitative analysis on the change of valence state and atomic coordination in microstructure can be realized by EELS O K-edge spectra.This study establishes EELS O K-edge spectrum as a promising pathway to quantitatively analyze the valence state and atomic coordination information of TMOs,and offers an effective method to conduct microstructure analysis via the EELS spectra of the non-metal element. 展开更多
关键词 EELS ELNES EXELFS Transition metal oxides DFT wavelet analyze
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