Identifying semi-volatile contaminants in fish from Niyang River, Tibetan Plateau

This study investigated the contamination levels and profiles of polychlorinated biphenyls (PCBs), polybrominated diphenyl ethers (PBDEs), organochlorine pesticides (OCPs) including dichlorodiphenyltrichloroethane and its metabolites (DDTs), hexachlorocyclohexanes (HCHs) and hexachlorobenzene (HCB) in fish from the Niyang River, Tibetan Plateau. The total concentrations of ∑PCB, ∑PBDE and ∑OCP were in the range of 0.246–1.056 ng/g (mean 0.540 ± 0.289 ng/g), 0.280–2.220 ng/g (mean 0.914 ± 0.643 ng/g) and 7.24–13.80 ng/g (mean 10.70 ± 2.31 ng/g), respectively. The total mercury concentration (HgT) in fish ranged from 85 to 217 ng/g dw with an average of 129 ng/g dw, and the concentrations of methyl mercury (MeHg) ranged from 61 to 160 ng/g dw with an average of 102 ng/g dw. The proportion of MeHg contributed to 66–91 % (average 80 %) of HgT for all samples, indicating that organic mercury was the predominant form of mercury in fish muscle. The results revealed that the fish from the Niyang River were contaminated with various persistent toxic pollutants and the potential influencing factors on the bioaccumulation concentration in fish were analyzed using Pearson’s correlation analysis.     

Combination of CFCs and stable isotopes to characterize the mechanism of groundwater–surface water interactions in a headwater basin of the North China Plain

Mountainous areas are characterized by steep slopes and rocky landforms, with hydrological conditions varying rapidly from upstream to downstream, creating variable interactions between groundwater and surface water. In this study, mechanisms of groundwater–surface water interactions within a headwater catchment of the North China Plain were assessed along the stream length and during different seasons, using hydrochemical and stable isotope data, and groundwater residence times estimated using chlorofluorocarbons. These tracers indicate that the river is gaining, due to groundwater discharge in the headwater catchment both in the dry and rainy seasons. Residence time estimation of groundwater using chlorofluorocarbons data reveals that groundwater flow in the shallow sedimentary aquifer is dominated by the binary mixing of water approximating a piston flow model along 2 flow paths: old water, carried by a regional flow system along the direction of river flow, along with young water, which enters the river through local flow systems from hilly areas adjacent to the river valley (particularly during the rainy season). The larger mixing ratio of young water from lateral groundwater recharge and return flow of irrigation during the rainy season result in higher ion concentrations in groundwater than in the dry season. The binary mixing model showed that the ratio of young water versus total groundwater ranged from 0.88 to 0.22 and 1.0 to 0.74 in the upper and lower reaches, respectively. In the middle reach, meandering stream morphology allows some loss of river water back into the aquifer, leading to increasing estimates of the ratio of young water (from 0.22 to 1). This is also explained by declining groundwater levels near the river, due to groundwater extraction for agricultural irrigation. The switch from a greater predominance of regional flow in the dry season, to more localized groundwater flow paths in the wet season is an important groundwater–surface water interactions mechanism, with important catchment management implications.     

基于MapReduce的地震波形数据并行解压缩算法研究

近年来各省级地震台网SEED文件数据量急增。在数据处理过程中,利用原有的串行解压缩算法批量解压缩地震波形数据时存在操作繁琐、耗时较长的问题。本文引入了MapReduce并行编程模型,根据该编程模型思想结合原有串行解压缩算法,提出了一种并行解压缩地震波形数据的算法,并给出了算法的设计与实现。本文从正确性、运行效率以及可扩展性三个方面进行了对比实验,验证了使用并行算法解压缩数据的效率较高,并且能够一次实现批量地震波形数据的解压缩,且操作简单。     

西昆仑塔什库尔干地块马尔洋一带中寒武世 花岗岩的发现及地质意义

西昆仑塔什库尔干地块马尔洋一带发育一期中寒武世花岗质岩浆活动,岩石类型为片麻状花岗闪长岩和二长花岗岩,LA-ICP-MS锆石U-Pb测年表明,其侵入时代分别为（506.0±6.8）Ma和（514.0±9.3）Ma。岩石SiO₂含量为67.83%~75.76%,具中高钾、准铝质-弱过铝质等特征;岩石稀土总量与平均陆壳相当（∑REE=90.85×10-6~186.10×10-6）,轻、重稀土分馏程度较强（（La/Yb）_N=5.38~22.43）,负Eu异常明显（δEu=0.42~0.71）;微量元素以富集Rb、K、Ba、Th、U等大离子亲石元素和亏损Nb、Ta、P、Ti等高场强元素为特征。地质学及岩石地球化学特征指示该期花岗岩属准铝质到弱过铝质高分异Ⅰ型花岗岩,锆石饱和温度指示其为高温岩浆岩,总体具有壳幔混源的特征,富云包体指示壳源成分占有较大的比例。该期花岗岩与邻区中-晚寒武世中酸性侵入岩指示塔什库尔干-甜水海地块南缘很可能存在一条中寒武世以来的岩浆弧带,其可能为在原特提斯（有限）洋盆于中寒武世向北俯冲、消减背景下幔源物质上涌底侵加热古老陆壳进而发生部分熔融的产物。这也预示着塔什库尔干地区在经过震旦纪-早寒武世伸展裂解阶段之后,于中-晚寒武世其大地构造环境及地球动力学背景发生了重大转折。      

Nonlinear local Lyapunov exponent and atmospheric predictability research

Because atmosphere itself is a nonlinear system and there exist some problems using the linearized equations to study the initial error growth, in this paper we try to use the error nonlinear growth theory to discuss its evolution, based on which we first put forward a new concept: nonlinear local Lyapunov exponent. It is quite different from the classic Lyapunov exponent because it may characterize the finite time error local average growth and its value depends on the initial condition, initial error, variables, evolution time, temporal and spatial scales. Based on its definition and the at-mospheric features, we provide a reasonable algorithm to the exponent for the experimental data, obtain the atmospheric initial error growth in finite time and gain the maximal prediction time. Lastly, taking 500 hPa height field as example, we discuss the application of the nonlinear local Lyapunov exponent in the study of atmospheric predictability and get some reliable results: atmospheric predictability has a distinct spatial structure. Overall, predictability shows a zonal distribution. Prediction time achieves the maximum over tropics, the second near the regions of Antarctic, it is also longer next to the Arctic and in subtropics and the mid-latitude the predictability is lowest. Particularly speaking, the average prediction time near the equation is 12 days and the maximum is located in the tropical Indian, Indonesia and the neighborhood, tropical eastern Pacific Ocean, on these regions the prediction time is about two weeks. Antarctic has a higher predictability than the neighboring latitudes and the prediction time is about 9 days. This feature is more obvious on Southern Hemispheric summer. In Arctic, the predictability is also higher than the one over mid-high latitudes but it is not pronounced as in Antarctic. Mid-high latitude of both Hemispheres (30°S―60°S, 30°―60°N) have the lowest predictability and the mean prediction time is just 3―4 d. In addition, predictability varies with the seasons. Most regions in the Northern Hemisphere, the predictability in winter is higher than that in summer, especially in the mid-high latitude: North Atlantic, North Pacific and Greenland Island. However in the Southern Hemisphere, near the Antarctic regions (60°S―90°S), the corresponding summer has higher predictability than its winter, while in other areas especially in the latitudes of 30°S―60°S, the prediction does not change obviously with the seasons and the average time is 3―5 d. Both the theoretical and data computation results show that nonlinear local Lyapunov exponent and the nonlinear local error growth really may measure the predictability of the atmospheric variables in different temporal and spatial scales.     

无人机平台的沙漠场地BRDF特征观测方法及建模

目标双向反射分布函数BRDF（Bidirectional Reflectance Distribution Function）不仅是陆面遥感的关键地球物理参数,也是星载光学遥感仪器基于地面目标的场地辐射校正重要参量,是影响定标精度的关键要素。传统野外地物多角度测量使用的观测设备,一般其结构较为复杂,重量体积较大,而且运输和组装过程繁琐,观测目标时容易受地形和交通限制,难以进行高效快速精确的野外测量。近年来,无人机由于其设备操作简便、运输和观测方式灵活等方面的优点,可作为新的观测平台应用于当前遥感试验中。本文设计了一种基于无人机平台的地表BRDF测量装置、观测方案和数据处理流程。利用多旋翼低空无人机和云台的组合,搭载野外地物光谱仪和跟拍相机,通过对地面目标多角度观测和高精度定位及角度控制,实现针对固定目标的多方位角和天顶角观测。本文采用上述设计方案和观测流程,在敦煌辐射校正场开展多次稳定均匀沙漠目标的多角度光谱观测试验,并利用实验观测数据,基于Ross-Li核驱动模型推算了场地BRDF模型参数,并与MODIS的陆表BRDF产品（MCD43C1）及反射率产品（MOD/MYD09）进行对比验证。通过开展野外实验,核验了这种新的BRDF观测手段的可靠性,获取的敦煌地表BRDF参数与MODIS遥感产品有良好的一致性,各波段的相对偏差在5%以内。本研究表明,基于多旋翼无人机的BRDF观测系统,提供了一种全新的地物目标方向反射特性观测方法,可用于自动化高频次场地特性观测以及卫星同步定标等野外实验活动。在保证观测精度的同时,极大地减轻人力物力的投入,值得广泛推广应用。     

Determination of the Backward Predictability Limit and Its Relationship with the Forward Predictability Limit

In this work, two types of predictability are proposed—forward and backward predictability—and then applied in the nonlinear local Lyapunov exponent approach to the Lorenz63 and Lorenz96 models to quantitatively estimate the local forward and backward predictability limits of states in phase space. The forward predictability mainly focuses on the forward evolution of initial errors superposed on the initial state over time, while the backward predictability is mainly concerned with when the given state can be predicted before this state happens. From the results, there is a negative correlation between the local forward and backward predictability limits. That is, the forward predictability limits are higher when the backward predictability limits are lower, and vice versa. We also find that the sum of forward and backward predictability limits of each state tends to fluctuate around the average value of sums of the forward and backward predictability limits of sufficient states.Furthermore, the average value is constant when the states are sufficient. For different chaotic systems, the average value is dependent on the chaotic systems and more complex chaotic systems get a lower average value. For a single chaotic system,the average value depends on the magnitude of initial perturbations. The average values decrease as the magnitudes of initial perturbations increase.     

非饱和粗颗粒土体的冻结试验研究

按照实际工程中路基填料的级配要求配制试样,在考虑覆盖层和补水条件下进行室内单向冻结试验,开展了土质、温度梯度和温度边界条件对非饱和粗颗粒填料冻胀特性的影响研究。试验结果表明：土质、温度梯度和温度边界对粗颗粒填料的冻胀特性影响显著。其中混合细粒的冻胀量最大、黏质黄土次之、粉质黏土最小,且其对应的试样顶部、冻结锋面处的含水量及外界补水量均具有相同的大小关系。温度梯度越大,冻胀量越大,试样顶部含水量越高,但冻结锋面处的含水量变化比较小,同时外界补水量越小。试样冷端温度边界越低,冻胀量越小,试样冷端含水量越小,但外界补水量越大。     

白洋淀流域地下水更新速率

受到水库拦蓄、抽水灌溉等人类活动的影响,白洋淀流域平原区河流断流,非承压含水层逐渐被疏干。下游的白洋淀无法得到河流和地下水的补给,时刻面临干涸。鉴于白洋淀对区域生态环境和气候有重要的影响,多次实施调水补淀工程。然而,白洋淀渗漏严重,调水补淀的效果不理想。为了保护白洋淀,亟需恢复地下水的可持续性,这首先需要查明地下水的更新能力。2009年,对白洋淀流域平原区地下水进行实地调查,并采集采集地表水和地下水水样共36个,分析其氚含量。利用线性插值法、吴秉钧法和连炎清法恢复了该地区降水氚含量的历史数据,结合数学物理模型估算了非承压地下水的更新能力。结果表明,氚含量较高的白洋淀水渗漏使得周边地下水氚含量增高。总体上,沿山区到淀区的方向非承压地下水更新速率逐渐由15.0%/a降低至4.0%/a。山前平原冲洪积扇区域是非承压地下水的主要补给区,平均更新速率达9.8%/a。冲积平原区域非承压地下水的平均更新速率仅为4.4%/a。为此,需要限制在冲积平原区域开采非承压地下水,以逐步恢复其更新速率,使其重新补给白洋淀。地下水的恢复过程可能较慢,但可从根本上解决调水补淀无法解决的干淀问题。     

非线性局部Lyapunov指数方法在目标观测中的应用初探

本文初步探讨了非线性局部Lyapunov指数方法(NLLE)在目标观测中的应用。首先, 在NLLE理论基础上研究了非线性动力系统内局部平均误差相对增长(LAGRE)特征, 证明了在误差发展进入随机状态前, LAGRE与初始误差大小无关而是与初始状态有关;在演化进入随机状态后, LAGRE的饱和值由初始误差大小决定这一特征。同时利用三个变量的常微分方程模型Lorenz63验证了这一结论。其次, 从非线性局部误差增长理论出发, 在局部动力演化相似方法(LDA)的基础上提出向前局部动力演化相似方法(FLDA)的概念, 并通过两个混沌个例来说明LDA和FLDA方法能够有效的利用历史资料还原任意初始状态的LAGRE。这些方法的提出为NLLE理论应用于观测资料研究目标观测问题提供了依据。