986 resultados para Grossi, Tommaso, 1791-1853.
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以自然土壤、沉积物样品为研究对象,研究了1,3,5-三氯苯在样品上的等温吸附过程。结果表明,线性模型和Freundlich模型能较好地拟合所有样品的等温线,而双区位反应模型(DRDM)适用范围有限。研究表明,三氯苯的吸附容量大小主要取决于样品中有机碳的含量,并且与不可提取态有机质和粘土矿物含量有一定的关系。以自然土壤、沉积物样品为研究对象,研究了1,3,5-三氯苯在样品上的等温吸附过程。结果表明,线性模型和Freundlich模型能较好地拟合所有样品的等温线,而双区位反应模型(DRDM)适用范围有限。研究表明,三氯苯的吸附容量大小主要取决于样品中有机碳的含量,并且与不可提取态有机质和粘土矿物含量有一定的关系。
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传统看法认为石灰土是碳酸盐岩风化作用的产物,然而由于碳酸盐岩风化成土的特殊性,在宏观上难以直接甄别土层与母岩的关联性,以至引发出了很大的物源争议。因此,物质来源判别将是石灰土研究的关键内容。基于此,本文选择黔北遵义官坝、安顺天龙和贵阳花溪上水村4个石灰土剖面为实例,进行矿物组合、地球化学特征和粒度分布特征对比分析,旨在对分布十分广泛的贵州省石灰土的物质来源进行判别。结果显示:各剖面土层与下伏的碳酸盐岩具有明显的物源继承关系,石灰土是碳酸盐岩风化作用.酸不溶物残留、堆积的产物。
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济阳坳陷CO2气藏主要发育在高青-平南深断裂中南段和阳信次级凹陷西北缘及商店火山岩穹隆构造内。气藏中CO2气体浓度为69%~97%,δ^13CCO2值为-5.67‰~-3.35‰,CH4/^3He值为(1.01~5.65)×10^8,^3He/^1He值为(2.80~4.49)×10^-6,即R/Ra为2.00~3.21,^40Ar/^36Ar值为317~1791,CO2/^3He值为(0.25~2.61)×10^9。以上地球化学数据表明,济阳坳陷气藏中CO2主要来源于地慢,且慢源CO2在成藏过程中有损失,或者有壳源CO2的加入,特别是部分碳酸盐岩变质成因CO2的加入。在对CO2气来源定性分析的基础上,还需要在各来源的定量区分和CO2气藏的成藏及其与岩浆活动的时空匹配关系等方面作进一步的研究.
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济阳坳陷是自三叠纪以来欧亚板块、印度洋板块和库拉-太平洋板块相互作用形成的一个叠置在华北板块上的中、新生代坳陷,位于华北板块东部,东临著名的郯庐大断裂。在坳陷中部的高青-平南断裂地区和西部惠民凹陷发现了大量的CO2气藏,近年来受到很多地质学家和地学工作者的注意。本文在前人资料和自己研究成果的基础上,详细分析了济阳坳陷CO2气藏的气体地球化学特征和惠民凹陷地区火成岩中方解石脉的碳氧同位素特征,为厘定区域内二氧化碳气的来源提供理论依据。通过系统的研究,获得了以下成果和结论: 济阳坳陷CO2气藏中,13CCO2值为-5.67~-3.35‰,主频率段为-4.76~-4.32‰,指示CO2气的主体为无机成因;而气藏中CH4的13C为-54.39~-35.00‰,主频率段为-54.39~-51.55‰,显示以有机成因为主。 济阳坳陷CO2气藏中3He/4He比值为2.80~4.49×10-6,主频率段为3.55~4.49×10-6;40Ar/36Ar值为317~1791,变化较大,主要分布在770~1791;13CCO2值与3He/4He成正相关关系;CO2/3Hem值介于0.769~10.2×109之间,主体为1.86~3.51×109,且CO2/3Hem值与CO2含量一定程度地正相关;CH4/3He比值介于1.01~5.65×108之间,接近于幔源流体值,而远低于壳源特征值,且CH4/3He比值随3He/4He比值减少而增加。以上种种特征都说明,济阳坳陷非烃类气藏中气体具有多来源的特征,但CO2主体是无机成因,并主要来自地幔,少量来自有机成因;在成藏过程,幔源CO2通过转变为CH4或者碳酸盐岩而丢失了部分CO2,壳源CO2和其它烃类加入到气藏中;花沟地区的气体地球化学特征与众不同,可能存在碳酸盐地层变质脱气产生的CO2的混入,但具体原因尚待进一步研究。 济阳坳陷惠民凹陷地区火成岩中方解石脉的碳同位素数据-3.30~3.14‰,氧同位素数据12.64~16.97‰,二者成正相关关系,同时也位于前人所说的沉积混染趋势线上,具有较为典型的壳幔混合特征。这些方解石脉的碳同位素又明显的位于海相碳酸盐岩范围之内,说明脉体的主要碳源不是深源的,而是来自于海相底层。
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Poolton, Nigel; Ozanyan, K.B.; Wallinga, J.; Murray, A.S., (2002) 'Electrons in feldspar II: a consideration of the influence of conduction band-tail states on luminescence processes', Physics and Chemistry of Minerals 29(3) pp.217-225 RAE2008
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Dennis, P., Aspinall, R. J., Gordon, I. J. (2002). Spatial distribution of upland beetles in relation to landform vegetation and grazing management. Basic and Applied Ecology, 3 (2), 183?193. Sponsorship: SEERAD RAE2008
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Digitized from a letter in the Drew University Methodist Collection. 1 item (4 p.); 19.5 x 32 cm.
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Digitized from a letter in the Drew University Methodist Collection. 1 Item (4 p.); 20.5 x 33 cm.
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Digitized from a letter in the Drew University Methodist Collection. 1 Item (2 p.); 17 x 20 cm
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PDF file
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http://www.archive.org/details/memoirsandsermon00armsiala
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http://moa.umdl.umich.edu/cgi/sgml/moa-idx?notisid=AAU8319 View book via University of Michigan
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http://www.archive.org/details/johnwesleytheman00pikeuoft
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Boston University Theology Library
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Temporal locality of reference in Web request streams emerges from two distinct phenomena: the popularity of Web objects and the {\em temporal correlation} of requests. Capturing these two elements of temporal locality is important because it enables cache replacement policies to adjust how they capitalize on temporal locality based on the relative prevalence of these phenomena. In this paper, we show that temporal locality metrics proposed in the literature are unable to delineate between these two sources of temporal locality. In particular, we show that the commonly-used distribution of reference interarrival times is predominantly determined by the power law governing the popularity of documents in a request stream. To capture (and more importantly quantify) both sources of temporal locality in a request stream, we propose a new and robust metric that enables accurate delineation between locality due to popularity and that due to temporal correlation. Using this metric, we characterize the locality of reference in a number of representative proxy cache traces. Our findings show that there are measurable differences between the degrees (and sources) of temporal locality across these traces, and that these differences are effectively captured using our proposed metric. We illustrate the significance of our findings by summarizing the performance of a novel Web cache replacement policy---called GreedyDual*---which exploits both long-term popularity and short-term temporal correlation in an adaptive fashion. Our trace-driven simulation experiments (which are detailed in an accompanying Technical Report) show the superior performance of GreedyDual* when compared to other Web cache replacement policies.