超临界萃取技术在生物资源开发和有机废水处理中的应用研究

超临界萃取技术在生物资源开发和有机废水处理中的应用研究＠刘华￥中国科学院地球化学研究所超临界ＣＯ＿２萃取,有机废水处理,珊瑚姜油,辣椒色素超临界萃取技术在生物资源开发和有机废水处理中的应用研究刘华（中国科学院地球化学研究所,贵阳５５０００２）收稿日期：１９...     

火山岩覆盖区三维地震勘探方法探究

宣化——下花园煤田位于燕山山脉的西段,区内地形复杂,成孔形式不一,采集难度大;火山岩覆盖范围广,浅层地震地质条件较差,地震记录信噪比低,静校正问题突出。为了查清宣东矿井深部煤炭资源状况,除了克服地表影响因素外,还需攻克该区火山岩对地震信号的屏蔽难题。通过对岩石出露区及黄土覆盖区进行试验分析,采取了高叠加次数等措施,有效地压制了干扰,提高了信噪比,在此基础上对地震记录进行一些有针对性资料处理技术,如绿山静较正技术等,使目的层有效波反应明显。本次勘探圈定了上覆火成岩范围及火成岩破坏区,控制了区内主要可采煤层Ⅲ3、Ⅴ2煤层的埋藏深度及构造形态,解释断层20条及Ⅲ3煤层火成岩破坏区3处,勘探成果表明,本次勘探所采用的野外采集措施和资料处理方法是行之有效的。     

水土流失区马尾松林植被提取的土壤调节指数分析

为实现水土流失区植被遥感信息的准确提取,本文采用2007年ALOS 10 m多光谱影像,利用土壤调节植被指数SAVI和MSAVI,对福建长汀水土流失区马尾松林不同植被覆盖密度的3个实验区进行植被提取,并选用不同的土壤调节因子（L=0.25,0.5,0.75,1）做实验,将结果和以NDVI植被指数提取的结果进行对比,分析了提取效果及受土壤噪音的影响程度。实验表明,SAVI指数能提高水土流失区的植被提取精度。在中、低植被覆盖区,其提取的总精度比NDVI高出2%~7%,Kappa系数高出7%~18%;而土壤调节因子L的取值对植被信息的提取也呈现出一定的规律性,即：随着L从0向1递增,SAVI提取稀疏植被的能力上升而探测阴坡植被的能力下降。总体来看,对于低植被覆盖和中等植被覆盖地区,可分别用SAVI（L取0.75）和SAVI（L取0.5）来提取植被信息,对于高植被覆盖区,仍可直接用NDVI进行植被信息提取;研究发现MSAVI在植被信息提取中并不具有特别的优势。     

Metamorphic evolution of garnet-bearing ultramafic rocks from the Gongen area, Sanbagawa belt, Japan

Garnet‐bearing ultramafic rocks including clinopyroxenite, wehrlite and websterite locally crop out in the Higashi‐akaishi peridotite of the Besshi region in the Cretaceous Sanbagawa metamorphic belt. These rock types occur within dunite as lenses, boudins or layers with a thickness ranging from a few centimetres to 1 metre. The wide and systematic variation of bulk‐rock composition and the overall layered structure imply that the ultramafic complex originated as a cumulate sequence. Garnet and other major silicates contain rare inclusions of edenitic amphibole, chlorite and magnetite, implying equilibrium at relatively low P–T conditions during prograde metamorphism. Orthopyroxene coexisting with garnet shows bell‐shaped Al zoning with a continuous decrease of Al from the core towards the rim, consistent with rims recording peak metamorphic conditions. Estimated P–T conditions using core and rim compositions of orthopyroxene are 1.5–2.4 GPa/700–800 °C and 2.9–3.8 GPa/700–810 °C, respectively, implying a high P/T gradient (> 3.1 GPa/100 °C) during prograde metamorphism. The presence of relatively low P–T conditions at an early stage of metamorphism and the steep P/T gradient together trace a concave upwards P–T path that shows increasing P/T with higher T, similar to P–T paths reported from other UHP metamorphic terranes. These results suggest either (1) down dragging of hydrated mantle cumulate parallel to the slab–wedge interface in the subduction zone by mechanical coupling with the subducting slab or (2) ocean floor metamorphism and/or serpentinization at early stage of subduction of oceanic lithosphere and ensuing HP–UHP prograde metamorphism.     

Composite analytical solutions for a soil vapour extraction system

Soil vapour extraction (SVE) is a common remediation technique for cleaning up unsaturated soils contaminated by volatile organic compounds (VOCs). Analytical solutions, which result from simple mathematical models, can allow the fast approximation of the time‐dependent effluent concentration and the gaining of insight into the processes that take place during soil remediation. Deriving the analytical solutions to advection–dispersion equations that simultaneously take into account the mechanical dispersion and molecular diffusion is very difficult because of the variable dependence of governing equations' coefficients. In this study, we first present two simplified analytical solutions that only consider mechanical dispersion or molecular diffusion. The two developed analytical solutions are compared with the numerical solution that simultaneously considers both mechanical dispersion and molecular diffusion to examine the applicability of the two simplified analytical solutions and distinguishes the individual contribution of the mechanical dispersion and molecular diffusion to total VOCs transport in an SVE system. Results show that dispersion plays an important role during SVE decontamination and neither the diffusion‐dominated solution nor the dispersion‐dominated solution can agree well with the numerical solution when both mechanical dispersion and molecular diffusion have significant contributions to the total VOCs transport flux. A composite analytical solution that linearly couples the diffusion‐ and dispersion‐dominated analytical solutions, which is proposed herein to eliminate the discrepancy between the analytical solutions and the numerical solution. Results indicate that the proposed composite analytical solution agrees well with the numerical solution and is an effective tool for quickly and accurately evaluating the time‐dependent effluent concentration for parameters of the different ranges of interest in an SVE remedial system. Copyright © 2006 John Wiley & Sons, Ltd.     

重庆2008年7月21日强对流天气成因及其特征

对2008年7月21日重庆市一次强对流天气过程进行诊断分析,通过分析天气背景,雷达回波,并应用四维变分同化方法反演风场,研究了强对流天气的发展机制.结果表明:高层冷空气入侵和中低层低涡系统强盛的暖湿气流形成的辐合切变是发生强对流的主要原因.雷达观测具有明显的弱回波区和"逆风区";反演水平风场表现为低层强回波前部有一条辐合上升带,到中层辐合上升带与强回波区重合,高层则对应辐散区;从风场的垂直剖面来看,强对流后部为入流区,到达中部后,形成强烈的上升气流,低层辐合带和强烈的上升气流形成强回波.在前部弱回波区处存在强降水下落形成的出流,该气流与暖湿气流辐合造成了浅薄的出流边界.     

基于模糊层次分析法对“一带一路”重要区域地质灾害危险性评价——以关中经济区为例

在“一带一路”沿线区域开展地质灾害危险性评价与区划具有重大意义。本文以关中经济区为例,综合考虑地质灾害特点、分布规律与孕灾环境等要素,基于坡度和地形起伏度的组合,提出了地质灾害安全区域与非安全区域的初步识别方法。在此基础上,采用模糊层次分析法和GIS空间分析方法对地质灾害各孕灾因子进行了危险性等级评价,并分别进行了单因子和多因子综合制图与结果验证。研究结果表明：1）地质灾害安全区域与非安全区域的初步判识,对灾害风险管理和降低防灾减灾成本有重要参考价值,也大大提高了地质灾害评价区域的针对性和准确性。2）研究区地质灾害安全区域面积占比22.9%（17054.5km²）,非安全区域占比77.1%（57462.6km²）,轻度危险区、低危险区、中危险区和高危险区面积分别占非安全区域面积的17.2%、32.2%、32.0%、18.6%,以中、低危险性为主（64.2%）。高危险性区域集中分布在关中经济区的西北、西南、东南部,而轻度危险性区域集中分布在关中平原以南地区,呈现出东西走向的“条带状”。3）共计3230个灾害点中,仅有3.3%（106个）的灾害点分布在安全区域中,其余96.7%（3124个）的灾害点均分布在非安全区域之中。分布在轻度危险、低危险、中危险和高危险区域中的分别有328个（10.2%）、765个（23.7%）、1007个（31.2%）、1024个（31.7%）,这与危险性等级区划结果具有很好的一致性。表明本文提出的地质灾害安全区域识别方法和地质灾害危险性区划方法具有一定的科学性和准确性。

     

River centerline extraction using the multiple direction integration algorithm for mixed and pure water pixels

The river centerline is a basic hydrological characteristic. Most prior studies have used remote sensing data to extract the river centerline from the open water region in a pure water pixel region. Extracting this type of river is relatively easy. However, extracting the centerline of a micro-river, which is mainly composed of mixed water pixels, is challenging. This paper presents a novel method, called the Multiple Direction Integration Algorithm (MDIA), to extract the river centerline using an image-enhancing method combined with river morphology. MDIA can be applied to regions mainly composed of pure water pixels, as well as to regions consisting of mixed water pixels in the index image. The method first calculates the normalized difference vegetation index (NDVI) and enhances the river linear structure using a Hessian matrix. Second, a small window is constructed as a circular structural element. In the window region, the local threshold is automatically obtained using water-oriented clustering segmentation and prior river knowledge to judge the pixel type. After completing the river centerline extraction in the current window, the next detecting window is generated to continue judgment. The structural element automatically executes river centerline judgment until the entire river centerline is extracted. The Landsat 8 images of six regions with different geomorphologies were chosen to analyze the method’s performance. The test sites include high mountain region, low mountain region, plains region with farmland and a residential region. The experimental results show that the optimal threshold of the processing results ranged from 0.2 to 0.3. In this range, the user’s accuracy is 0.813 to 0.997, and the producer’s accuracy is 0.981 to 1. The MDIA effectively and correctly extracts the river network in mixed-pixel regions. The presented method provides an effective algorithm for river centerline extraction that can be used to expand and update river datasets and provide reliable river centerline data for relevant hydrology studies.     

利用InSAR技术获取高寒高海拔地区高精度DEM

本文以Sentinel-1A SLC数据为原始影像,利用InSAR技术获取新疆西天山中部高寒高海拔地区小区域DEM,将获得的DEM与常用的SRTM v4 DEM和GDEMDEM进行对比分析。结果表明：利用InSAR技术处理Sentlnel-1A SLC数据可以获得分辨率为15 m的高精度DEM,该DEM数据精度优于SRTM v4 DEM和GDEMDEM,能更好地描绘地表地形细节,可作为输入数据获取地面高精度形变信息,为工程建设和地质灾害评价提供重要的基础数据。此外,该方法对DEM数据的更新也具有重大意义。     

Smart 3D数据的三维模型重建

针对Smart 3D生成的实景三维模型是一个三角网集合,并不能直接应用于数字城市建设、土地利用管理与城市规划的问题,该文提出了Smart 3D数据三维模型重建的方法:研究了基于分割过滤方法,提取高精度数字高程模型;基于参数化建模、纹理重建方法构建了建筑物三维模型。利用敦化市的倾斜影像进行了实验。实验结果表明:三维重建模型精度高、效果好、提高了自动化的程度,实现了城市建筑物模型的单体化。