Microscopic Pore characteristics and methane sorption capacity of the lower cambrian shales in yangtze platform北大核心CSCD

The lower Cambrian develops a set of organic-rich black shales in Yangtze Platform and is regarded as one of the key layers of shale gas exploration. The microscope pore structure characteristics and methane sorption capacity were investigated using scanning electron microscope, nitrogen adsorption and methane sorption experiments, and then their controlling factors combining with organic matter, mineral compositions were discussed for Niutitang shales in Zunyi area, Mufushan shales in Nanjing area and Huangboling shales in Chizhou area. The results show as below; ( I ) The pores in lower Cambrian shales are mainly dominated by organic pores, interlayer pores in clay minerals and micro-fractures, as well as containing some intergranular pores between brittle mineral grains, honeycomb poies formed by pyrite crystals falling out, and dissolution molds in fossils; ( 2) DKT pore size distributions show the pores is mainly concentrated in the range of less than 4 nm in lower Cambrian shales and kerogens, while a certain amount of pores are above 4 nm are also existed in lower Cambrian shales, which may be contributed by smectite; ( 3)The specific surface area, pore volume and Langmuir methane sorption capacity of the lower Cambrian shales are ranging from 5.58 to 31. 96 inVg, 0.026 to 0.088 mL/g and 1.36 to 5. 3 mL/g, respectively, which are mainly controlled by TOC and smectite contents, but the effect of TOC and smectite on physical properties are quite different for the lower Cambrian shales in different regions; ( 4)The specific surface area of two Niutitang kerogens are 7. 08 and 7. 92 times than that of the shales and methane sorp-Tion capacity of kerogens arc 5.81 and 7.09 times than that of the shales, suggesting that kerogen is a main carrier of methane gas occurrence in.     

城市规模与旅游成长空间关系、演变及驱动因子——长江三角洲城市级别体系新认识

以“揭示规律、验证规律”为研究逻辑起点,提出“城市规模-旅游成长-城市级别”数理空间分布模型及其时空演变模型,以长江三角洲地区城市体系为例,系统搜集1995~2014年系列基础数据,探讨城市规模与旅游成长的空间关系及其演变机理。结果表明：① 20 a来长三角地区城市规模、旅游成长、城市级别的数理空间分布呈三段“金字塔”式结构,城市级别越高,分布数量越少;② 三元空间关系在演变中,1995~2009时期内的三阶段符合演变模型的A线关系趋向,2010~2014阶段呈“核”式分布,旅游对城市规模存在倒逼效应;③ 依据城市4个基本象限类分布,级别高的城市分布在Ⅰ类区,Ⅳ类区与Ⅱ、Ⅲ类区间存在单向转换与演变关系;④ 对驱动因子剖析,政府政策的倾斜、城市规模效应以及旅游的快速发展共同促成三元关系的演变格局。     

Comparing the spatial extent of Atlantic basin tropical cyclone wind and rain fields prior to land interaction

Understanding changes in the size of tropical cyclone (TC) wind and rain fields before landfall can improve identification of areas that may experience damage. We examine 25 Atlantic basin TCs for 36 h before gale-force winds (R17) cross land. Rain field extents are measured from satellite estimates of rain rates using a Geographic Information System. In each quadrant, R17 is obtained from the Extended Best Track data-set and correlated with the extent of the rain field. In general, both fields expand prior to landfall. The non-linearity of this trend poses problems for persistence forecast models. The largest wind fields are located over the Atlantic Ocean. Correlations between wind and rain field extent are strongly positive for Atlantic cases regardless of whether extratropical transition (ET) occurs and are associated with the direction of vertical wind shear. Poor correlations exist for Gulf observations. Rain fields extend farther towards the east during ET when vertical wind shear is stronger, but wind fields are not significantly different when separating cases based on whether or not ET occurs. As rain fields extend farther than wind fields in 33% of Gulf cases, moderately heavy rainfall may commence before damaging winds arrive, decreasing the time available for preparedness activities.     

克里雅河中下游流域地表沉积物的粒度与化学元素空间分布

通过对克里雅河流域的实地考察、地形测量、取样,分析其流经沙漠过渡带地表沉积物的粒度、化学元素的空间分布,得出以下结论：河流—沙漠过渡带地表沉积物的粒度组成以>2 φ的粒径为主,粒度特征明显表现出风成特点;化学组成上以Si、Al为主,和上陆壳平均化学组成相比,除Ca、Co、As外都有一定的亏损;不同河段自上游至下游,在不同动力条件下,地表物质粒度特征表现出河漫滩砂与阶地风成砂呈相反的递变趋势;不同河段A-CN-K图解及CIA揭示了克里雅河不同河段地表物质化学风化程度均很低,处于较弱的去Na、Ca阶段,其他元素未发生明显的化学风化或迁移,不同河段化学风化程度差异与物源及地貌格局息息相关;同一河段不同地貌单元,随距河道远近不同,粒度特征与化学风化程度呈现出一定的递变规律;克里雅河平均粒径与一些元素的相关性,说明粒径大小与表征化学风化程度数值的大小有一定关系。总之,在不同空间尺度上,克里雅河地表沉积物理化学特征的分异实质上反映风动力和水动力的差异性分选。     

A systematic comparison of different object-based classification techniques using high spatial resolution imagery in agricultural environments

Geographic Object-Based Image Analysis (GEOBIA) is becoming more prevalent in remote sensing classification, especially for high-resolution imagery. Many supervised classification approaches are applied to objects rather than pixels, and several studies have been conducted to evaluate the performance of such supervised classification techniques in GEOBIA. However, these studies did not systematically investigate all relevant factors affecting the classification (segmentation scale, training set size, feature selection and mixed objects). In this study, statistical methods and visual inspection were used to compare these factors systematically in two agricultural case studies in China. The results indicate that Random Forest (RF) and Support Vector Machines (SVM) are highly suitable for GEOBIA classifications in agricultural areas and confirm the expected general tendency, namely that the overall accuracies decline with increasing segmentation scale. All other investigated methods except for RF and SVM are more prone to obtain a lower accuracy due to the broken objects at fine scales. In contrast to some previous studies, the RF classifiers yielded the best results and the k-nearest neighbor classifier were the worst results, in most cases. Likewise, the RF and Decision Tree classifiers are the most robust with or without feature selection. The results of training sample analyses indicated that the RF and adaboost. M1 possess a superior generalization capability, except when dealing with small training sample sizes. Furthermore, the classification accuracies were directly related to the homogeneity/heterogeneity of the segmented objects for all classifiers. Finally, it was suggested that RF should be considered in most cases for agricultural mapping.     

Distribution Characteristics of Heavy Metals and Grain Size of Sediments from Hailing Bay, China

Introduction Hailing Bay located in western Guangdong province is an important marine aquaculture base and a famous scenic spot. Moyang River which flows across Yangjiang is the major runoff and polluted source in the sea area of Hailing Bay. Hailing Bank ( approximately 5 000 m ) which was built to connect Hailing Island and the continent in 1964 has blocked the natural circulation of suspended sand and pollutants in seawater. Water flux through the Yangjiang harbor extensively decreases …     

A theoretical study of the factors which influence the measurement of fishing netting mesh size

A theoretical investigation is carried out of the mesh size measurement of an idealized fishing netting mesh. It is assumed that the bending moment of the netting twine is proportional to curvature and that there is no twine extension and no cross-sectional deformation of the twine. The corresponding momentum and force balance equations are analyzed. The measurement method our analysis most approximates is that of the ICES gauge. The effect on mesh measurement of twine bending stiffness, frictional resistance, boundary slope, gauge force and gauge thickness are all examined.