电性任意各向异性且分块连续变化CSAMT三维有限元数值模拟

考虑地球介质电导率任意各向异性且随空间位置连续变化的情况,本文实现了直接求解电磁场的可控源音频大地电磁测深（CSAMT）三维有限元数值模拟.首先给出了电导率任意各向异性介质中CSAMT二次电场满足的控制方程及其相应变分问题,然后采用任意六面体单元对研究区域进行剖分,在网格单元中对任意各向异性电导率进行线性插值,解决了实际工作中岩矿石电导率各向异性且连续变化的情况,将变分问题转化为线性代数方程组的求解.电导率各向异性且连续变化一维模型三维有限元数值模拟结果与电导率各向异性且分层均匀渐进模型解析解结果对比验证了方法的有效性;三维地电模型电导率随位置线性变化且各向同性、主轴各向异性、方位各向异性和倾斜各向异性的数值模拟结果表明,电导率各向异性且连续变化对CSAMT视电阻率和相位数据均有明显的影响.     

1999年杭嘉湖平原一次连续暴雨过程诊断分析

用新的曲面拟合法(NMOCSF)对江淮和杭嘉湖平原一次连续暴雨过程作物理诊断，结合天气形势讨论了准静止华北高压的形成及其对江淮和杭嘉湖平原连续暴雨的贡献。指出，当江淮和杭嘉湖平原处在梅雨期时，应特别注意华北高压的强度和位置，一旦构成阻塞形势，就极可能发生大范围、持续性的强降水过程。     

2018年冬季浙江连续阴雨天气东亚高空急流特征分析

利用欧洲中心ERA 5月平均资料和日资料分析2018年冬季浙江罕见连续阴雨寡照期间东亚高空副热带急流和温带急流的位置和强度特征,分析连阴雨异常天气期间东亚高空急流在位置和强度上的部分异常特征.结果表明:东亚高空急流活动区域以青藏高原上空为分界线,分为南北两支,南支副热带急流活动区域沿青藏高原南侧呈准纬向分布,北支温带急...     

2009年冬季至2010年春季黑龙江省气温持续偏低成因

利用常规观测的温度资料和中国国家气候中心提供的环流特征量、NCEP/NCAR再分析资料及美国气候预测中心（CPC）提供的AO指数等,分析了2009年11月至2010年4月中高纬大气环流异常特征,探讨了AO与同期气温的关系。分析表明：黑龙江省冬春气候异常与500 hPa大尺度环流背景有关。冬春持续偏冷,对应北半球欧亚中高纬地区呈“-+-”的波列分布,90°-180°E呈现出“北正南负”的环流形势;北半球极涡面积偏大,冬季东亚大槽位置偏西,春季东亚大槽强度偏强,冬春AO指数持续异常偏强,显著负位相。     

浅析晋西北地区2007年秋季连阴雨降水过程

2007年9月下旬中期-10月上旬,晋西北地区出现了过程雨量最大、持续时间最长的秋季连阴雨天气过程,致使气温持续偏低,日照寡缺,地表积水严重,给当地的工农业生产造成严重影响。本文利用2007年9月下旬-10月上旬的气象观测资料,从高低空形势、风场特征、水汽条件等方面对2007年9月26日-10月10日秋季连阴雨进行初步分析发现,2007年我国北方秋季发生长时间的连阴雨与赤道中东太平洋海温有重要关系。2007年秋季北方降水异常型表现出了典型的La Nina的影响。     

强震孕育、发生及其复发循环过程的有限单元法模拟

强震孕育发生及其复发过程的定量研究对于预测预报地震有着重要的科学意义;合理连续地计算地震孕育、同震破裂过程及其复发循环特征将有助于我们更好地认识强震发生的时空分布规律.为此,本文基于Newmark隐式时间积分法,根据模拟孕震-同震循环过程的特殊要求,发展了一种新的有限单元计算方法.新方法具有以下特点:(1)在不改变时间积分方法的情况下,实现对时间步长进行自动平滑地缩放,进而可以连续的模拟准静态、动态不同力学状态下的孕震-同震循环过程;(2)模型的初始应力场非人为指定,计算时通过施加重力及缓慢的构造加载获得;(3)地震破裂的成核区域及成核方式等亦非人为给定,模拟中破裂成核是自然形成的,这样更加符合实际地震地质情况.通过大量的模型计算,其结果表明,新的计算方法可以连续稳定的模拟断层孕震-同震及其循环过程,计算结果不仅可以给出强震的复发间隔,同时还可以给出地震时断层破裂行为的详细过程.此外,本文还考察了摩擦系数对地震准周期性的影响,发现断层上的静、动摩擦系数差值直接影响着断层的强震复发周期,两者差值越小,复发周期越短;差值越大,复发间隔越长.     

Auswirkung von Schwermetallgemischen auf die biologische Behandlung naphthalinsulfonsäurehaltiger Abwässer

Effect of Mixtures of Heavy Metals on the Biological Treatment of Sewages Containing Naphthalenesulfonic Acid Biological wastewater treatment processes can be destabilized considerably by heavy metals. In this investigation, the effect of loadings of heavy metals on the degradation of naphthalene-2-sulfonic acid (2NS) by immobilized bacteria in continuously operated airlift-loop reactors was studied. Shock loadings with mixtures of cadmium and nickel, or cadmium and zinc, respectively, resulted in increases in inhibition compared to those observed with the single metals. In contrast, the 2NS-degradation was less inhibited by shock loadings with mixtures of nickel and zinc than by the single metal ions. Repeated shock loadings up to 100 mg L^?1 nickel and 1000 mg L^?1 zinc effected an adaptation of the microorganisms. Continuous loadings with up to 10 mg L^?1 cadmium and nickel each, or with 50 mg L^?1 nickel and 210 mg L^?1 zinc, respectively, did not inhibit the degradation of 2NS. The permanent loadings led to an adaptation of the bacteria with an increased biosynthesis of proteins from 0.2 to 0.5 g g^?1 cell dry weight. However, if the immobilized cells were incubated with mixtures of cadmium and nickel, the specific polysaccharide content decreased to less than 0.2 g g^?1 cell dry weight, resulting in a detachment of the biofilms.     

连续流动化学发光法测定地质样品中痕量金

根据Au(Ⅲ)离子催化过氧化氢氧化鲁米诺原理,研究成功了连续流动化学发光法测定地质样品中痕量金的方法。样品用盐酸、过氧化氢及溴水分解后,在巯基棉柱中进行了分离和预富集。方法检出限为2×10~(-10)gAu/ml,工作曲线线性范围为2×10~(-10)—1×10~(-5)gAu/ml。对于2×10~(-9)gAu/ml和2×10~(-8)gAu/ml的变异系数分别为5.7％和3.0％。     

Measures of transport mode segmentation of trajectories

ABSTRACT

Rooted in the philosophy of point- and segment-based approaches for transportation mode segmentation of trajectories, the measures that researchers have adopted to evaluate the quality of the results (1) are incomparable across approaches, hence slowing the progress in the field and (2) do not provide insight about the quality of the continuous transportation mode segmentation. To address these problems, this paper proposes new error measures that can be applied to measure how well a continuous transportation mode segmentation model performs. The error measures introduced are based on aligning multiple inferred continuous intervals to ground truth intervals, and measure the cardinality of the alignment and the spatial and temporal discrepancy between the corresponding aligned segments. The utility of this new way of computing errors is shown by evaluating the segmentation of three generic transportation mode segmentation approaches (implicit, explicit–holistic, and explicit–consensus-based transport mode segmentation), which can be implemented in a thick client architecture. Empirical evaluations on a large real-word data set reveal the superiority of explicit–consensus-based transport mode segmentation, which can be attributed to the explicit modeling of segments and transitions, which allows for a meaningful decomposition of the complex learning task.     

Localization and characterization of populations vulnerable to climate change: Two case studies in Sub-Saharan Africa

Future climate change potentially can have a strong impact on the African continent. Of special concern are the effects on food security and the restricted adaptive capacity of Africa's poverty stricken population. Targeted policy interventions are, therefore, of vital importance. While there is a broad consensus on selection of climate and agricultural indicators, a coherent spatial representation of the populations' vulnerability is still subject to debate, basically because important drivers at household and institutional level are captured at the coarser (sub)-national level only. This paper aims to address this shortcoming by capitalizing on available spatially explicit information on households, food security institutions and natural resources to identify and characterize vulnerable groups in climate change prone areas of East and West Africa. First, we identify and localize groups with varying degrees of vulnerability, using food security and health indicators from georeferenced household surveys. Second, we characterize these vulnerable groups using statistical techniques that report on the frequency of occurrence of household characteristics, social bonding, remittances and agro-ecological endowments. Third we localize areas where climate change conditions affect production of major staple crops even after a maximum adaptation of crop rotations. Fourth, we characterize the vulnerable groups in the climate change affected areas and compare their profiles with the overall assessment to elucidate whether generic or climate change targeted policies are required. Since climate change will impact predominantly on agricultural production, our analysis focuses on the rural areas. For West Africa, we find that vulnerable groups in areas likely to be affected by climate change do not fundamentally differ from vulnerable groups in the study area in general. However, in East Africa there are remarkable differences between these groups which leads to the conclusion that in this part of Africa, poverty reducing strategies for climate change affected areas should differ from generic ones.