共查询到20条相似文献，搜索用时 31 毫秒
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《Polar Science》2008,2(3):163-174
Isotopic analysis of the Martian lherzolitic shergottite Yamato 000097 yields a Rb–Sr age of 147 ± 28 Ma with an initial 87Sr/86Sr ratio of 0.710490 ± 0.000072, a Sm–Nd age of 152 ± 13 Ma with an initial ɛ143Nd-value of +11.7 ± 0.2, and a 39Ar–40Ar age of ∼260 Ma. The near concordance of these ages, in combination with the Rb–Sr and Sm–Nd initial isotopic signatures, suggests that Yamato 000097 crystallized from low Rb/Sr, light rare earth element depleted source materials ∼150 Ma ago. Although the obtained 39Ar–40Ar age is significantly higher than the Rb–Sr and Sm–Nd ages, Yamato 000097 shows little or no evidence of trapped Martian atmospheric 40Ar. The trapped 40Ar concentration of Yamato 000097 is similar to that of Zagami, suggesting that both basaltic and lherzolitic shergottites may have similarly inherited excess 40Ar from their magmas.The Rb–Sr and Sm–Nd ages, and initial 87Sr/86Sr and ɛ143Nd-values of Yamato 000097 and Yamato 793605 lie on the same isotopic ingrowth curves, suggesting that they came from very similar mantle sources. Allan Hills 77005 was also probably derived from the same source, but Lewis Cliff 88516 appears to be from a distinct but similar source. Yamato 000097 represents the most recent known magmatism from its source, and is the youngest Martian meteorite for which concordant Rb–Sr and Sm–Nd ages have been determined. 相似文献
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J.M. Powell 《The Australian geographer》2010,41(3):425-427
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While speculation exists on global and regional climate change for temperature and precipitation, relatively little research is available on snowfall and its changes. Twenty-six sites were selected to describe and analyze various characteristics of snowfall in Pennsylvania from 1950–1951 through 1989–1990. Overall, the state experienced a significant stepwise change in seasonal snowfall total during this period. Abnormally high seasonal totals prevailed from 1957–1958 through 1971–1972. This rise in snowfall was accompanied by colder-than-normal temperatures and a dramatic increase in large daily snow events. Principal components analysis (PCA) revealed that the seasonal temporal patterns were not uniform across the state. The PCA revealed four distinct seasonal regions. These regions exhibited everything from nearly linear increases and decreases over time to cyclical formations. PCA performed on the months of November through April each unveiled between three and five separate temporal regions. PCA analyses generally identified an eastern region, a north-central region, and a western region across Pennsylvania. [Key words: regionalization, principal components, variability, snowfall, climate change, Pennsylvania.] 相似文献
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The method of bi-dimensional empirical mode decomposition (BEMD) and the combined methods of entropy weight–Technique for Order of Preference by Similarity to an Ideal Solution (TOPSIS) were used to decompose gravity–magnetic data and evaluate targets in the Luziyuan Pb–Zn–Fe polymetallic ore field and surrounding areas. Three meaningful bi-dimensional intrinsic mode function (BIMF) images were obtained by BEMD at different wavelengths, depicting different layers of geological architectures in the study area. The results are as follows. (1) The BIMF2 images depict the shallow local geological architecture and show positive gravity–magnetic anomalies of the skarn alteration and Pb–Zn–Fe mineralization distributed around concealed granites. (2) The BIMF3 images depict the medium-depth geological architecture, indicating that concealed granitic stocks, which are shallow extensions of a deeply concealed pluton, intruded along the NE-trending fault. (3) The BIMF4 images depict gravity–magnetic anomalies at greater depth, which likely reflect regional geological architectures, indicating the potential presence of a large, concealed intermediate-acid pluton in the negative anomaly zone. Three potential targets (A, B, and C) were delineated based on BEMD results of the original gravity–magnetic data. The entropy weight–TOPSIS evaluation results show that the ranking of the metallogenic potential of the delineated targets in the study area is B, A, and C, with relative proximity values of 0.4576, 0.3925, and 0.1499, respectively. The results of this study can be used to guide future exploration.
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Zhang Zhiqiang Wang Gongwen Carranza Emmanuel John M. Yang Shuren Zhao Ke Yang Wangdong Sha Deming 《Natural Resources Research》2022,31(4):2163-2179
Natural Resources Research - Methods for the analysis and integration of multi-source geophysical datasets are fundamental technologies for three-dimensional (3D) geological modeling and subsurface... 相似文献
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《Geomorphology》2004,57(1-2):41-51
Dust samples, collected monthly for 15 years from 50 urban sites in 10 cities in Gansu Province, China, provide information on modern rates of dust deposition in the desert and Gobi areas and in the Loess Plateau. Dust deposition is highest during spring months and lowest during autumn months, in both the desert and Gobi areas and the Loess Plateau. There is a significant positive correlation between dust deposition and dust event, and an inverse correlation between dust deposition and precipitation. The 15-year mean maximums in the desert and Gobi areas and the Loess Plateau are 498.64 and 327.02 t km−2 year−1, respectively, and the mean minimums are 290.22 and 180.86 t km−2 year−1, respectively. Drought may have a widespread, major influence on the modern rates of the dust deposition. 相似文献
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《The Professional geographer》2013,65(3):237-239
This study compares how humans and neural networks classify climate types. Human subjects were asked to classify climates from monthly temperature and precipitation patterns. To model their learning process, the same data were used to produce input vectors that trained a pattern associator neural network. Both human subjects and the neural network classified climates accurately after 10 rounds of supervised learning. The neural network successfully modeled the rate of human learning and the ability to learn specific climate categories. Moreover, the neural network weights used to classify climates correspond to distinct visual characteristics in temperature and precipitation. These results suggest that neural networks can model the formation of visual categories. 相似文献
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W. Andrew Marcus 《Journal of Paleolimnology》1992,7(2):165-171
Conference AnnouncementsSpecialized Conference
Contaminated aquatic sediments: Historical records, environmental impact, and remediation, Milwaukee, USA, June 14–16, 1993 相似文献18.
Ryan J. Bunting Oliver Yang Chang Christopher Cowen Richard Hankins Staci Langston Alexander Warner 《The Professional geographer》2018,70(1):34-46
The combination of crime mapping and geospatial analysis methods has enabled law enforcement agencies to develop more proactive methods of targeting crime-prone neighborhoods based on spatial patterns, such as hot spots and spatial proximity to specific points of interest. In this article, we investigate the spatial and temporal patterns of the neighborhood crimes of aggravated assault and larceny in 297 census tracts in Miami–Dade County from 2007 to 2015. We use emerging hot spot analysis (EHSA) to identify the spatial patterns of emerging, persistent, continuous, and sporadic hot spots. In addition, we use geographically weighted regression to analyze the spatial clustering effects of sociodemographic variables, poverty rate, median age, and ethnic diversity. The hot spots for larceny are much more diffused than those for aggravated assaults, which exhibit clustering in the north over Liberty City and Miami Gardens and in the south near Homestead, and the ethnic heterogeneity index has a moderate and positive effect on the incidence of both larceny and aggravated assaults. The findings suggest that law enforcement can better target prevention programs for violent versus property crime using geospatial analyses. Additionally, the ethnic concentration of neighborhoods influences crime differently in neighborhoods of different socioeconomic status, and future studies should account for spatial patterns when estimating conventional regression models. 相似文献
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