中国北方风成堆积的风化作用与环境变迁—U-Th、~(10)Be及元素地球化学的研究

The surface of the Earth is continuously undergoing changes as a result of weathering-erosion, plate tectonics and volcanic processes. Continental weathering-erosion with its complex rock-water interactions is the central process of global biochemical cycling of elements, and affects the long-term ocean atmosphere budget of carbon dioxide both through the consumption of carbonic acid during silicate weathering and through changes in the weathering and burial rates of organic carbon. Rates of the weathering-erosion depend on a variety of factors, in particular rock properties and chemical composition, climate (especially rainfall), structure, and elevation. They are quite variable on a regional scale. Thus, environmental changes in a region could be indicated by the history of weathering-erosion in the region. Recent attention has focused on increased silicate weathering of tectonically uplifted areas in the India-Asia collision zone as a possible cause for falling atmospheric CO_2 levels in the Cenozoic era. The wind blown dust deposits in the Loess Plateau is derived from the arid and semiarid regions in northwestern China, in turn, where the deposits have been derived from the Qinghai-Xizang Plateau and the high mountains around. Therefore, geochemistry of the wind blown loess-paleosol and red clay sequences may provide insight both to paleoenvironmental changes on the Loess Plateau, and to the uplift and weathering-erosion histories of the Qinghai-Xizang Plateau. In this paper, uranium-thorium series nuclides and cosmogenic ~(10)Be have been employed as tracers of weathering intensities and histories of the dust sediments in the Loess Plateau. Major elements, such as Na, Al, Fe etc., are also used to estimate degree of chemical alteration of the dust sediments and to rebuild the history of weathering on the Loess Plateau. First of all, using a low-level HPGe γ-ray detector, we measured U and Th series nuclides in 170 loess and paleosol samples from five sites in the Loess Plateau, going back 2.6 Ma. The results show that ~(238)U activities are disequilibrium with its daughter nuclide ~(230)Th in young loess-paleosol sequence, indicating that weathering was happened both in dust deposition site and in dust source regions. Using concentrations of ~(238)U and ~(232)Th in the samples, we estimated the amounts of ~(238)U leached out of from paleosols due to weathering. Further, based on analyses of ~(230)Th in paleosols deposited in the past ca. 140 ka, we determined when the paleosols weathered in the source regions. We conclude that most of the weathering in the dust-source regions may have occurred during the interglacials before dust deposition.

喀斯特石漠化与地质-生态环境背景的空间相关性分析——以广西都安瑶族自治县为例

分析都安瑶族自治县喀斯特石漠化分布特征,依托GIS 和RS 技术,采用定性和定量相结合的分析方法,选出分析喀斯特石漠化的地质- 生态环境背景因素。运用主成分分析法,得出喀斯特石漠化的地质生态环境指数,并绘制都安县地质- 生态环境指数图,揭示石漠化与其地质- 生态环境背景因素的空间相关性。利用多元回归方法,通过检验其显著度选出最佳的回归模型,为喀斯特石漠化生态重建提供依据。

贵州区域农业生态环境综合评价

科学地评价贵州的农业生态环境, 可以为西部大开发中的区域发展战略提供理论依据。本文应用模糊综合评价方法, 通过对贵州各个区域的自然、社会、经济环境的系统研究, 对贵州各区域农业生态环境进行了客观评价, 从定量角度对各区农业生态环境加以探讨; 并对西部大开发中贵州农业生态环境保护提出了合理建议。

遵义牛蹄塘组黑色岩系中多元素富集层的主要矿化特征

在对大量数据进行系统分析的基础上，将贵州遵义下寒武牛蹄塘组黑色岩系中多元素富集层矿化元素按富集系数分为三组。超富集元素：富集系数大于1000，包括Mo、As、Se、Re等；强富集元素：富集系数介于100～1000，包括Ni、U、Au、Ag、Pt、Pd、Tl等；弱富集元素：富集系数近于5～100，包括V、Co、Cu、Pb、Zn、Y、Cd等。结合上述元素的地球化学性质和矿化岩石类型，指出贵州牛蹄塘组多元素富集层综合了岩浆作用、热水沉积和机械沉积作用的特点，是深部岩浆活动强烈喷发期的产物，提出了可能的成矿模式：早期岩浆(火山)活动伴随热水沉积，形成磷块岩(和硅质岩)；中期岩浆活动减弱，表现为剥蚀沉积；晚期火山爆发，除大量射气元素的富集，还带出深部的成矿物质，然后通过水流机械富集成矿。

滇西北雪鸡坪斑岩铜矿流体包裹体初步研究

雪鸡坪中型斑岩铜矿床位于三江地区义敦岛弧南端的中甸弧，成矿斑岩为石英闪长玢岩和石英二长斑岩，属于印支期产物。含矿岩体蚀变分带明显，由中心向外发育强硅化带→石英绢云母化带→粘土化-石英绢云母化带→青磐岩化带，工业矿体赋存于斑岩体中心强硅化和石英绢云母化带内。矿化类型以网脉状矿化为主，细脉浸染状矿化不发育。本文对主要矿化阶段石英脉中的流体包裹体系统进行了包裹体岩相学、显微测温学和激光拉曼谱学研究，发现与成矿有关的流体包裹体可以分为水溶液包裹体、CO2包裹体和含子矿物包裹体3类，子矿物主要为石盐、方解石、赤铁矿和少量CaCl2水合物及不透明硫化物。其中含子矿物包裹体均一温度为230～420℃，盐度为33．48％～75．40％NaCl equiv．，密度为1．01～1．09g／cm^3。激光拉曼光谱分析表明，包裹体的液相成分主要为H2O，气相成分为H2O和CO2。早期水溶液包裹体和CO2包裹体共生，其均一温度相近，以及纯CO2包裹体的发现，指示成矿流体存在不混溶现象，这种不混溶是由原始岩浆流体“二次沸腾”作用产生的。CO2相分离、温压条件降低和pH值升高是雪鸡坪斑岩铜矿硫化物沉淀的主要原因。晚期低温、低盐度的流体可能来源于大气降水与岩浆流体的混和，对矿化的意义不大。

滇西北雪鸡坪斑岩铜矿S，Pb同位素组成及对成矿物质来源的示踪

雪鸡坪斑岩铜矿位于西南三江构造火成岩带义敦岛孤带，其成矿斑岩为印支期石英闪长玢岩和石英二长宽岩。研究对该矿区安山岩、矿化斑岩和矿石矿物系统进行S，Pb同位素分析结果表明：金属硫化物的δ34S值为-3．1‰～＋0．7‰，平均值为-1．1‰，与矿化斑岩的硫同位素组成（-1．4‰和-1．5‰）一致，均落入幔源硫范围，表明硫主要来自岩浆；δ34S黄铁矿（-1．8‰～＋0.7‰，平均0．5‰）〉δ34S黄铜矿（-2．2‰～0．0‰，平均-1．2‰）〉δ34S方铅矿（-3．1‰～1．3‰，平均-2．4‰），硫同位素分馏基本达到平衡。矿石矿物（208Pb／204Pb=37．917～38．230，平均值38．075；207Pb／204Pb-15．528～15．614，平均值15．571；206Pb／204Pb=17．929～18．082，平均值17．981）与矿化斑岩（208Pb／204Pb=37．832、37．883，207Pb／204Pb=15．529、15．538，206Pb／204Pb=17．906、17．910）以及安山岩（208Pb／204Pb=37．816～37．884，207Pb／204Pb-15．549～15．562,206Pb／204Pb=17．845～17．919）的初始铅组成基本一致，变化范围较小，表明三者具有相同的来源；在铅构造模式图上，所有样品铅同位素均位于造山带演化线上或附近，在铅同位素源区判别图中，均落入造山带和下地壳区域，这表明Pb主要来源于壳幔混合。雪鸡坪铜矿S，Pb同位素组成共同指示成矿物质主要来自于深部岩浆，这种岩浆可能主要起源于俯冲洋壳板片的部分熔融并受到少量地壳物质的混染。

汉字形音义加工时间进程的事件相关电位（ERP）研究

The time-courses of orthographic, phonological and semantic processing of Chinese characters were investigated systematically with multi-channel event-related potentials (ERPs). New evidences concerning whether phonology or semantics is processed first and whether phonology mediates semantic access were obtained, supporting and developing the new concept of repetition, overlapping, and alternating processing in Chinese character recognition. Statistic parameter mapping based on physiological double dissociation has been developed. Seven experiments were conducted: I) deciding which type of structure, left-right or non-left-right, the character displayed on the screen was; 2) deciding whether or not there was a vowel/a/in the pronunciation of the character; 3) deciding which classification, natural object or non-natural object, the character was; 4) deciding which color, red or green, the character was; 5) deciding which color, red or green, the non-character was; 6) fixing on the non-character; 7) fixing on the crosslet. The main results are: 1. N240 and P240:N240 and P240 localized at occipital and prefrontal respectively were found in experiments 1, 2, 3, and 4, but not in experiments 5, 6, or 7. The difference between the former 4 and the latter 3 experiments was only their stimuli: the former's were true Chinese characters while the latter's were non-characters or crosslet. Thus Chinese characters were related to these two components, which reflected unique processing of Chinese characters peaking at about 240 msec. 2. Basic visual feature analysis: In comparison with experiment 7 there was a common cognitive process in experiments 1, 2, 4, and 6 - basic visual feature analysis. The corresponding ERP amplitude increase in most sites started from about 60 msec. 3. Orthography: The ERP differences located at the main processing area of orthography (occipital) between experiments 1, 2, 3, 4 and experiment 5 started from about 130 msec. This was the category difference between Chinese characters and non-characters, which revealed that orthographic processing started from about 130 msec. The ERP differences between the experiments 1, 2, 3 and the experiment 4 occurred in 210-250, 230-240, and 190-250 msec respectively, suggesting orthography was processed again. These were the differences between language and non-language tasks, which revealed a higher level processing than that in the above mentioned 130 msec. All the phenomena imply that the orthographic processing does not finished in one time of processing; the second time of processing is not a simple repetition, but a higher level one. 4. Phonology: The ERPs of experiment 2 (phonological task) were significantly stronger than those of experiment 3 (semantic task) at the main processing areas of phonology (temporal and left prefrontal) starting from about 270 msec, which revealed phonologic processing. The ERP differences at left frontal between experiment 2 and experiment 1 (orthographic task) started from about 250 msec. When comparing phonological task with experiment 4 (character color decision), the ERP differences at left temporal and prefrontal started from about 220 msec. Thus phonological processing may start before 220 msec. 5. Semantic: The ERPs of experiment 3 (semantic task) were significantly stronger than those of experiment 2 (phonological task) at the main processing areas of semantics (parietal and occipital) starting from about 290 msec, which revealed semantic processing. The ERP differences at these areas between experiment 3 and experiment 4 (character color decision) started from about 270 msec. The ERP differences between experiment 3 and experiment 1 (orthographic task) started from about 260 msec. Thus semantic processing may start before 260 msec. 6. Overlapping of phonological and semantic processing: From about 270 to 350 msec, the ERPs of experiment 2 (phonological task) were significantly larger than those of experiment 3 (semantic task) at the main processing areas of phonology (temporal and left prefrontal); while from about 290-360 msec, the ERPs of experiment 3 were significantly larger than those of experiment 2 at the main processing areas of semantics (frontal, parietal, and occipital). Thus phonological processing may start earlier than semantic and their time-courses may alternate, which reveals parallel processing. 7. Semantic processing needs part phonology: When experiment 1 (orthographic task) served as baseline, the ERPs of experiment 2 and 3 (phonological and semantic tasks) significantly increased at the main processing areas of phonology (left temporal and frontal) starting from about 250 msec. The ERPs of experiment 3, besides, increased significantly at the main processing areas of semantics (parietal and frontal) starting from about 260 msec. When experiment 4 (character color decision) served as baseline, the ERPs of experiment 2 and 3 significantly increased at phonological areas (left temporal and frontal) starting from about 220 msec. The ERPs of experiment 3, similarly, increased significantly at semantic areas (parietal and frontal) starting from about270 msec. Hence, before semantic processing, a part of phonological information may be required. The conclusion could be got from above results in the present experimental conditions: 1. The basic visual feature processing starts from about 60 msec; 2. Orthographic processing starts from about 130 msec, and repeats at about 240 msec. The second processing is not simple repetition of the first one, but a higher level processing; 3. Phonological processing begins earlier than semantic, and their time-courses overlap; 4. Before semantic processing, a part of phonological information may be required; 5. The repetition, overlapping, and alternating of the orthographic, phonological and semantic processing of Chinese characters could exist in cognition. Thus the problem of whether phonology mediates semantics access is not a simple, but a complicated issue.

Pequizeiro - Caryocar brasiliense.

2009

Mapeamento do uso atual e cobertura vegetal dos solos do estado do Rio de Janeiro.

O conhecimento do uso atual e cobertura do solo é imprescindível em qualquer projeto de caracterização e monitoramento ambientais, permitindo demarcar os diferentes usos da terra e vegetação, bem como subsidiar o planejamento e gestão ambientais. O presente trabalho abrange a totalidade do Estado do Rio de Janeiro, compreendido entre os meridianos 410 e 450 de longitude Oeste e os paralelos 200 30? e 230 30? de latitude Sul, estendendo-se por aproximadamente 44.000 km2. Tem como objetivo inventariar e mapear o estado atual da ocupação dos solos, distinguindo e quantificando os principais tipos de uso do solo e de cobertura vegetal, apresentados numa escala generalizada de 1:250.000. Para tal, fez-se um mapeamento preliminar com base nos padrões espectrais das imagens de satélite Landsat ETM7+, cedidas pela EMATER-RJ, utilizando-se de diferentes algoritmos de classificação espectral. Durante a elaboração da versão final do Mapa de Uso Atual e Cobertura Vegetal dos Solos do Estado do Rio de Janeiro, foram viagens de verificação in situ a fim de esclarecer dúvidas e subsidiar ajustes e modificações posteriores. O trabalho de pré-processamento, interpretação e classificação das imagens para a produção e edição final do Mapa de Uso Atual e Cobertura Vegetal realizou-se no período de março de 2002 a fevereiro de 2003, pelas equipes técnicas da CPRM (Serviço Geológico Brasileiro), Divisão de Geoprocessamento - DIGEOP, Departamento de Informações Institucionais (DEINF) e o Laboratório de Geoinformação da Embrapa Solos. Foram identificadas e mapeadas 13 grandes classes de uso e ocupação do solo, algumas delas subdivididas em tipos, assim classificadas e distribuídas: 1 ? Mata Atlântica (Remanescente/Secundária e Ciliar); 2 ? Mangue (Mangue e Mangue Degradado); 3 ? Restinga; 4 - Pecuária (Pastagem Plantada e Campo / Passtagem em Zona Úmida); 5 ? Agricultura; 6 ? Reflorestamento; 7 ? Afloramento de Rocha; 8 ? Solo Exposto; 9 ? Corpo d?Água; 10 ? Salina; 11 ? Extração de Areia / Mineração; 12 ? Praia e Duna; 13 ? Área Urbana.

Computer Recognition of Prismatic Solids

An investigation is made into the problem of constructing a model of the appearance to an optical input device of scenes consisting of plane-faced geometric solids. The goal is to study algorithms which find the real straight edges in the scenes, taking into account smooth variations in intensity over faces of the solids, blurring of edges and noise. A general mathematical analysis is made of optimal methods for identifying the edge lines in figures, given a raster of intensities covering the entire field of view. There is given in addition a suboptimal statistical decision procedure, based on the model, for the identification of a line within a narrow band on the field of view given an array of intensities from within the band. A computer program has been written and extensively tested which implements this procedure and extracts lines from real scenes. Other programs were written which judge the completeness of extracted sets of lines, and propose and test for additional lines which had escaped initial detection. The performance of these programs is discussed in relation to the theory derived from the model, and with regard to their use of global information in detecting and proposing lines.