Geochemical and textural properties of carbonate and terrigenous sediments along the Jordanian coast of the Gulf of Aqaba

The physicochemical properties of 21 marine sediment samples were investigated, collected from five different localities along the Jordanian coast of the Gulf of Aqaba. According to the chemical parameters, sediments were categorized into three groups: carbonate (80% CaCO₃), composed mainly of materials of calcareous skeletal structures; terrigenous (<10% CaCO₃) depositional areas for land-derived materials from surrounding rocks and alluviums; and a admixture of the first two (19–37% CaCO₃). High significant linear correlations were found between organic carbon (OC) and total nitrogen (TN), indicating the occurrence of these components in a common phase (organic matter). Despite the co-occurrence of TP in organic matter, these two elements were negatively correlated, indicating anthropogenic sources of pollution such as phosphate exportation (hotel areas and clinker port sites) and industrial activities (industrial complex site). The study found that variations in texture properties and mud contents were due to differences in sediment sources, topography and their response during currents and waves. The finer, well-sorted sediments contain lower elemental concentrations of OC, calcium carbonate and TN (excluding TP) than coarser, poorly-sorted sediments.     

闽江河口沉积结构与沉积作用

结合已有的闽江河口航道整治研究成果，在该河口采集了130多个表层沉积物样品。根据对沉积结构、河口沙坝类型和水动力条件的分析，探讨了闽江河口沉积物的分布规律和沉积作用机制。研究结果表明，1）闽江河口可划分为砂质、混合和泥质3个沉积区，它们分别代表三角洲前缘、前缘斜坡和前三角洲沉积环境；2）闽江河口各汊道径、潮流强度对比不同，河口沉积过程有显著差异。径流在川石水道的发育中居主导作用，潮流是塑造梅花水道的主要因素；3）河口沙坝类型受制于输出水流的扩散形式，闽江河口有多种类型的河口沙坝，川石水道的河口沙坝为水下突堤型，乌猪水道北侧发育了水下突堤型沙坝，熨斗水道为拦门沙型河口沙坝，梅花水道则是潮流脊型的河口沙坝。     

冲绳海槽火山成因斜长石的分布及成分特征

对冲绳海槽表层样和柱状样中与火山作用有关的斜长石进行了初步研究，根据斜长石的分布特征和Ａｎ值演化特征讨论了该区岩浆－火山作用活动特点。     

Geochemistry and petrogenesis of the 595 Ma shoshonitic Qunai monzogabbro,Jordan

The last stage in the formation of the Arabian Nubian Shield in Jordan was dominated by post-orogenic igneous activity of the ∼610–542 Ma Araba Suite, including a monzogabbroic stock intruding the Saramuj Conglomerate, near the southeastern corner of the Dead Sea. The geological setting, petrography, geochemistry and geothermometry of the monzogabbro and other cogenetic varieties are used to shed light on the petrogenesis of this stock and reveal its magma source. The monzogabbro, megaporphyry dikes, and scattered syenite pockets are co-magmatic and alkaline, potassic and shoshonitic in nature. REE and trace elements patterns indicate that these magmas were produced from a mantle that had been modified by subduction-related metasomatism. The parental mafic magma could have been derived by 10% partial melting of LILE-enriched phlogopite-bearing spinel lherzolite, probably lithospheric mantle, in association with post-collisional extension. Fractional crystallization of this parental magma by olivine and pyroxene gave rise to the monzogabbroic magma.The megaporphyry dikes with their giant labradorite plagioclase megacrysts represent feeders of a voluminous volcanic activity that could have lasted for about 10⁵ years.Thermodynamic modeling applying the MELTS software indicates crystallization of this suite in the temperature range of 1184–760 °C at a pressure of 2 kbars, agreeing with olivine-pyroxene, pyroxene, and two-feldspar thermometry. The modeled mineralogy and sequence of crystallization of constituent minerals using MELTS is in remarkable agreement with the observed modal mineralogy of the monzogabbro. Furthermore, a great degree of congruity exists between the modeled and observed chemistry of the major minerals with only minor discrepancies between modeled composition of biotite and olivine.     

Validation of ERS scatterometer‐derived soil moisture data in the central part of the Duero Basin,Spain

The objective of this study was to validate the soil moisture data derived from coarse‐resolution active microwave data (50 km) from the ERS scatterometer. The retrieval technique is based on a change detection method coupled with a data‐based modelling approach to account for seasonal vegetation dynamics. The technique is able to derive information about the soil moisture content corresponding to the degree of saturation of the topmost soil layer (∼5 cm). To estimate profile soil moisture contents down to 100 cm depth from the scatterometer data, a simple two‐layer water balance model is used, which generates a red noise‐like soil moisture spectrum. The retrieval technique had been successfully applied in the Ukraine in a previous study. In this paper, the performance of the model in a semi‐arid Mediterranean environment characterized by low annual precipitation (400 mm), hot dry summers and sandy soils is investigated. To this end, field measurements from the REMEDHUS soil moisture station network in the semi‐arid parts of the Duero Basin (Spain) were used. The results reveal a significant coefficient of determination (R² = 0·75) for the averaged 0–100 cm soil moisture profile and a root mean square error (RMSE) of 2·2 vol%. The spatial arrangement of the REMEDHUS soil moisture stations also allowed us to study the influence of the small‐scale variability of soil moisture within the ERS scatterometer footprint. The results show that the small‐scale variability in the study area is modest and can be explained in terms of texture fraction distribution in the soil profiles. Copyright © 2004 John Wiley & Sons, Ltd.     

结合分形理论和自适应图像块划分的遥感图像噪声估计

针对场景复杂的光学遥感图像中加性噪声估计问题,提出了一种结合分形理论和自适应图像块划分的噪声估计方法。区别于传统的基于规则图像块划分的噪声估计方法,本文提出了一种自适应于图像局部信息的图像块划分算法,更大程度地保证了自适应图像块内部的平滑性。结合基于分形理论的图像低粗糙度纹理区域选取和基于统计分析的图像噪声标准差计算,实现了光学遥感图像加性噪声强度的自动估计。利用资源三号卫星图像进行定量试验分析,试验结果表明本文方法可以有效地适用于不同复杂程度、不同噪声强度的光学遥感图像。同时,本文中低粗糙度纹理区域选取和自适应图像块划分的方法经过改进后,还可以应用于雷达图像中乘性噪声的估计。     

利用纹理特征的SAR与光学图像融合方法研究

针对SAR与光学图像的融合问题,提出一种基于SAR图像中纹理特征的Contourlet变换融合方法。利用灰度共生矩阵法提取SAR图像的纹理特征,分析各个纹理特征间的相关性,得到重要纹理特征图。用HSV变换提取光学图像的强度分量。将重要纹理特征和强度分量利用改进的Contourlet多尺度变换融合,得到新的强度分量。通过HSV逆变换得到SAR与光学的融合图像。利用Landsat8和Cosmo-SkyMed图像进行融合实验,并与小波、HSV、Brovey、Contourlet变换融合方法对比分析,实验表明该方法能够较好的保持光学图像的光谱特征和SAR图像的纹理、强散射特征,增加图像细节信息,提高图像可解译性。     

一种基于球体分片射线的大数据体渲染方法

针对大数据量、大范围对象的体渲染效果不够精细美观的问题,文章提出了一种基于球体分片射线的体渲染方法:通过将立方体形式的数据组织转变为环绕球体的弧形数据组织方式,并对体数据依次分片,逐片进行渲染。详细论述了该方法的原理及流程,并在某四维气象演示系统的台风登陆模拟中得到了很好的验证。实验表明,该方法能有效地渲染大数据量大范围对象的细节,提高了可视化效果。     

遥感监测墨西哥湾溢油目标识别算法

为了及时监测溢油事故相关信息,防止污染扩张,该文利用2010年4月29日、5月17日及5月24日3个时相的中分辨率MODIS数据,以2010年发生的墨西哥湾溢油事故为例进行目标提取与识别。提取算法考虑到油膜和背景海水易混分的现象,采用了辅加纹理特征量的光谱角匹配算法进行油膜提取;同时,对比了常用的最小距离和支持向量机分类方法;并基于混淆矩阵对结果进行精度验证。结果显示,改进的光谱角匹配算法可以更准确地提取海面目标,精度高达90%以上,能够较好地监测出大面积溢油,可以用于海面溢油灾害的动态监测。