烃源岩不同性质有机酸的分离及其检测方法     

杜佳宗  何蓓  蔡进功  雷天柱  刘庆  谢忠怀 《高校地质学报》2020,26(5):540-548

烃源岩中的有机酸来源于有机质，但有机质具有不同的赋存形式，有机酸具有不同性质，这将影响有机酸与不同赋存有机质的关系，进而影响分离和检测方法。文章在总结前人对有机质赋存形式和有机酸性质等特征的基础上，提出烃源岩中的有机酸并以非单一的形式存在，具有水溶性、脂溶性和难溶性有机酸三种类型，游离有机质中存在水溶性和脂溶性有机酸，而结合有机质中存在水溶性、脂溶性和难溶性有机酸。因此在检测方法上需采取分步分离的方法，且根据有机酸的性质选取合适的检测方法，即水溶性有机酸利用离子色谱检测，索氏抽提得到的脂溶性有机酸利用气相色谱—质谱检测，通过酸解抽提残渣得到的难溶性有机酸利用红外光谱检测，全面系统地认识烃源岩中有机酸含量和类型等特征。这对进一步探讨烃源岩各种类型有机酸特征和演化规律，深化烃源岩有机质生烃以及有机—无机相互作用等机理都具有重要意义。  相似文献   

京津冀夏季强降水下冰云宏微观特征          下载免费PDF全文

郑倩  郑有飞  王立稳  李特  林彤  杜傢义 《干旱区地理》2019,42(1):67-76

根据Aqua MODIS 2级云产品和Cloudsat的2级产品资料，结合降水数据和MODIS L1B级辐射率数据，对发生在京津冀地区夏季的三次强降水过程中冰云的宏微观物理量的特征进行分析，并探究这些物理量和降水强度的关系。结果表明：在水平分布中，强降水过程中降水强度高值区内云相为冰云，冰云云顶高度在8~17 km，冰云粒子有效半径、冰云光学厚度、冰水路径分别最高可达60 μm、 150、 5 000 g?m^-2；冰云光学厚度、冰水路径、冰云云顶高度随降水强度增大而增大。在垂直分布中，冰云主要分布在3.5 km以上，发生强降水站点的冰云为深对流云，冰云粒子有效半径、冰水含量、冰云粒子数浓度分别最高可达150 μm、 3 000 mg?m^-3 、 500 L^-1；冰云粒子有效半径高值区存在于云层中下部，且随高度上升而减小，冰云粒子数浓度高值区存在于云层中上部，且随高度上升而增加，冰水含量高值区则存在于云层中部；冰云粒子有效半径、冰水含量、冰云粒子数浓度在9 km以上随降水强度增大而增大。  相似文献   

2016年夏季南海海盆水体颗粒物粒径分布特征*     

郑文迪  周雯  曹文熙  王桂芬  邓霖  徐文龙  许占堂  李彩  蔡建南 《热带海洋学报》2018,37(5):74-85

颗粒物粒径分布(Particle Size Distribution, PSD)代表了颗粒物浓度与颗粒物粒径之间的关系, 影响着海洋生态环境和水体光学特性等。文章基于2016年夏季航次调查的生物光学剖面数据, 研究了南海海盆海域PSD的分布特征。研究发现, 幂律函数可以较好地拟合南海海盆区域的PSD, 对数空间中的实测的PSD与模拟的PSD平均决定系数高达0.95。PSD斜率(ξ)的分布范围为[1.27, 7.65], 均值为3.93±0.56。南海海盆区域表层水体的ξ均值与全球大洋表层水体的ξ均值相近, 但高于海湾等表层水体的ξ均值。ξ能较好地表征颗粒物平均粒径D_A的大小, 两者存在明显负相关关系, 即ξ值越高, D_A越小; 反之, D_A越大。通过分析T1断面的生物光学剖面数据及总体平均的PSD剖面数据, 发现PSD剖面分布特征如下: 1)表层水体的ξ值相对较高, 且D_A值相对较低, 推测可能是由于微微型藻类为主导颗粒物所致; 2) ξ值极小值层出现在次表层叶绿素浓度极大值层(Subsurface Chlorophyll Maximum Layer, SCML)中, 并伴随D_A极大值层的出现, 其原因可能是SCML中的大粒径浮游植物占比显著增加; 3)弱光层中的ξ值较SCML中的高, 但略低于表层的ξ值, 而D_A则位于表层与SCML的D_A之间, 这可能与浮游植物及其碎屑的絮凝、分解、沉降等过程相关。PSD特征影响着海水的固有光学特性, 分析发现: 由于SCML中的叶绿素浓度增加, 颗粒物散射系数(b_p(532))和颗粒物后向散射系数(b_bp(532))也相应呈现显著增加的趋势。弱光层中的平均b_p(532)与平均b_bp(532)最小。ξ与颗粒物衰减光谱斜率之间呈高分散性, Boss 等(2001b)的模型适合用于粗略估算区域性的ξ分布范围及均值。  相似文献   

Assessment of soil factors controlling ephemeral gully erosion on agricultural fields   总被引：1，自引：0，他引：1       下载免费PDF全文

Paul Ollobarren Del Barrio  Miguel A. Campo‐Bescós  Rafael Giménez  Javier Casalí 《地球表面变化过程与地形》2018,43(9):1993-2008

The soil factor is crucial in controlling and properly modeling the initiation and development of ephemeral gullies (EGs). Usually, EG initiation has been related to various soil properties (i.e. sealing, critical shear stress, moisture, texture, etc.); meanwhile, the total growth of each EG (erosion rate) has been linked with proper soil erodibility. But, despite the studies to determine the influence of soil erodibility on (ephemeral) gully erosion, a universal approach is still lacking. This is due to the complex relationship and interactions between soil properties and the erosive process. A feasible soil characterization of EG erosion prediction on a large scale should be based on simple, quick and inexpensive tests to perform. The objective of this study was to identify and assess the soil properties – easily and quickly to determine – which best reflect soil erodibility on EG erosion. Forty‐nine different physical–chemical soil properties that may participate in establishing soil erodibility were determined on agricultural soils affected by the formation of EGs in Spain and Italy. Experiments were conducted in the laboratory and in the field (in the vicinity of the erosion paths). Because of its importance in controlling EG erosion, five variables related to antecedent moisture prior to the event that generated the gullies and two properties related to landscape topography were obtained for each situation. The most relevant variables were detected using multivariate analysis. The results defined 13 key variables: water content before the initiation of EGs, organic matter content, cation exchange capacity, relative sealing index, two granulometric and organic matter indices, seal permeability, aggregates stability (three index), crust penetration resistance, shear strength and an erodibility index obtained from the Jet Test erosion apparatus. The latter is proposed as a useful technique to evaluate and predict soil loss caused by EG erosion. Copyright © 2018 John Wiley & Sons, Ltd.  相似文献   

考虑土体性质的黄土震陷灾害区域性特征          下载免费PDF全文

许书雅  王平  王会娟  于一帆 《地震工程学报》2020,42(5):1194-1201

本研究在通渭、兰州、西吉、宝鸡、西安等多个西北典型黄土震陷灾害场地获取原状土样，通过对密度、含水率、孔隙比、塑液限等物理指标的测试，分析其与土体震陷性的关系；通过动弹性模量和阻尼比、动强度、震陷等室内动力特性试验，并结合大量前人研究资料，分析土体性质对岩土震陷灾害的区域性影响。结果表明：1）震陷系数与单一土体物性参数呈正相关或负相关关系，六盘山以西和以东的黄土震陷特性反映了明显的地区变化规律，在相同地震荷载作用下震害东轻西重；2）随着时间的推移，人类的活动增加，改变了土的含水率，导致土体上覆压力增大，在上覆压力的作用下，土体的初始孔隙数量有所减少，其固结程度越来越好，宏观表现为土体的易损性即震陷性减小。  相似文献   

琼胶/SiO₂复合纤维的制备及性能研究     

吴大伟  颜廷波  李腾飞  王应霞  肖玉斌  薛志欣  夏延致 《海洋科学》2020,44(10):39-45

利用湿法纺丝技术制备了琼胶/SiO₂复合纤维，对琼胶分子在溶液中的分散性、纺丝液流变性、纤维的形貌、化学结构分别用DLS、旋转黏度计、SEM、FTIR和XRD进行了表征，并对纤维的力学性能、热性能和吸湿性能进行了测定。研究结果表明：琼胶分子在溶液中呈纳米尺度分布，纺丝液具有良好的流动性；琼胶/纳米SiO₂复合纤维具有良好的形态。随着纳米SiO₂的添加量逐渐提高，复合纤维的力学拉伸强度先增强后降低，复合纤维的吸水性降低，复合纤维的热稳定性逐渐增强。结合复合纤维综合性能，纳米SiO₂的最佳添加质量分数为0.5%。  相似文献   

短蛸对不同生物饵料利用的比较     

赵捷杰  陈四清  常青  徐大凤  李凤辉  张鹏飞 《海洋科学》2020,44(9):83-90

为比较短蛸（Octopus ocellatus）对不同生物饵料的利用效果，以南美白对虾、肉球近方蟹、菲律宾蛤仔和玉筋鱼四种饵料进行了饲喂实验。结果表明：1）肉球近方蟹组短蛸增重率显著高于其他各组（P<0.05），南美白对虾组脏体比显著高于玉筋鱼组（P<0.05），各饵料组肝体比无显著差异；2）南美白对虾组和肉球近方蟹组短蛸肌肉的蛋白质含量显著高于菲律宾蛤仔组和玉筋鱼组（P<0.05），肉球近方蟹组脂肪含量显著高于其余各组（P<0.05），玉筋鱼组灰分含量显著低于其他各组（P<0.05）；3）南美白对虾组短蛸肝胰腺谷丙转氨酶活性显著高于其余各组（P<0.05），肉球近方蟹组谷草转氨酶活性显著高于其余各组（P<0.05），玉筋鱼组谷氨酸脱氢酶活性显著低于其余各组（P<0.05），菲律宾蛤仔组酸性磷酸酶活性显著高于其余各组（P<0.05），玉筋鱼组胃蛋白酶活性显著高于其他各组（P<0.05）。综上，投喂肉球近方蟹可以显著提高短蛸的增重率；不同饵料对短蛸肌肉的蛋白质、脂肪和灰分含量有影响，对其肝胰腺功能和胃蛋白酶活性也有显著影响。  相似文献   

Evaluation of clayed silt properties on the behavior of hydrate production in South China Sea     

《China Geology》2020,3(3):362-368

Gas hydrate is one kind of potential energy resources that is buried under deep seafloor or frozen areas. The first trial offshore production from the silty reservoir was conducted in the South China Sea by the China Geological Survey (CGS). During this test, there were many unique characteristics different from the sand reservoir, which was believed to be related to the clayed silt physical properties. In this paper, simulation experiments, facilities analysis, and theoretical calculation were used to confirm the hydrate structure, reservoir thermo-physical property, and bond water movement rule. And the behavior of how they affected production efficiency was analyzed. The results showed that: It was reasonable to use the structure I rather than structure II methane hydrate phase equilibrium data to make the production plan; the dissociation heat absorbed by hydrate was large enough to cause hydrate self-protection or reformation depend on the reservoir thermal transfer and gas supply; clayed silt got better thermal conductivity compared to coarse grain, but poor thermal convection especially with hydrate; clayed silt sediment was easy to bond water, but the irreducible water can be exchanged to free water under high production pressure, and the most obvious pressure range of water increment was 1.9–4.9 MPa.  相似文献   

Distinguishing extensive and intensive properties for meaningful geocomputation and mapping     

Simon Scheider  Mark D. Huisjes 《International journal of geographical information science》2019,33(1):28-54

A most fundamental and far-reaching trait of geographic information is the distinction between extensive and intensive properties. In common understanding, originating in Physics and Chemistry, extensive properties increase with the size of their supporting objects, while intensive properties are independent of this size. It has long been recognized that the decision whether analytical and cartographic measures can be meaningfully applied depends on whether an attribute is considered intensive or extensive. For example, the choice of a map type as well as the application of basic geocomputational operations, such as spatial intersections, aggregations or algebraic operations such as sums and weighted averages, strongly depend on this semantic distinction. So far, however, the distinction can only be drawn in the head of an analyst. We still lack practical ways of automation for composing GIS workflows and to scale up mapping and geocomputation over many data sources, e.g. in statistical portals. In this article, we test a machine-learning model that is capable of labeling extensive/intensive region attributes with high accuracy based on simple characteristics extractable from geodata files. Furthermore, we propose an ontology pattern that captures central applicability constraints for automating data conversion and mapping using Semantic Web technology.  相似文献   

我国红黏土物理力学性能研究现状及展望     

邓绍云 《岩土工程技术》2020,(1):43-47

采用文献综述研究方法,梳理了红黏土研究成果并进行了评述,对红黏土的物理力学性质进行了归纳和总结,对红黏土的性能改良研究成果进行了汇总,指出红黏土的物理力学性能的差异性根源在于微观结构的个性差异存在,红黏土性能改良的困难在于红黏土的水敏性和热敏性,红黏土性能改良的关键在于控制其含水率。最后指出了研究不足在于普适性理论和知识体系没有构建,改良方法和技术探究应该加强,展望了红黏土性能改良的物理—化学—生物耦合作用的机理及复合技术开发和应用的研究。  相似文献