毛乌素沙地砒砂岩与沙复配农田的固沙效应及其微观机理

砒砂岩与沙复配成土及其工程化核心技术的提出与应用,为毛乌素沙地合理利用土地资源、科学推进生态建设提供了新的思路与技术支撑。前期研究对利用层面的技术问题给予了较多关注并取得显著进展,而在潜在风险层面特别是关于复配土壤的固沙效应及其微观机理的探索则相对薄弱。基于集沙仪、扫描电镜及激光粒度仪,结合野外定位试验和室内仪器观测,对毛乌素典型原状沙地及复配农田的输沙特征差异及其固沙微观机理进行探索。结果表明：（1）观测周期内,原状沙地输沙总量为4 951 g,远高于复配农田2 436 g的输沙总量,原状沙地更易受风蚀,而复配农田土壤起沙风速大、输沙量较小,具有明显的固沙效应;（2）扫描电镜图像显示,原状沙地土粒（沙粒）粗骨化、无粘结,而耕种两年的复配农田土壤中已出现团聚体;（3）激光粒度仪分析显示,原状沙地的粉、黏粒含量仅为2.74%,而复配农田这一比例增至15.12%;（4）复配土防风固沙效应的形成与粉粒和黏粒含量及土壤结构等紧密相关。鉴于复配农田输沙固沙能力的动态差异性和风力敏感性,进一步实施复配成土造田工程时,宜在复配农田主导风向的上风向区域及成片农田内适当布设具有防风功能的适生草类或灌木条带。     

顺义4.0级地震前兆异常特征与京区前兆监测网监测能力探讨

通过对北京地区现有定点地震前兆监测网进行清理,分析了现有定点专业前兆监测台站、观测点、群测点的数量及分布密度的现状。对１９９６年１２月１６日北京顺义ＭＳ４．０地震的短临异常特征进行了探讨,表明顺义ＭＳ４．０地震前在震中周围出现一个直径约３５ｋｍ的短临异常密集区域。从异常形态看,该区域中的异常大部分可能带有来自震源的信息。结合顺义地震短临异常点位分布特征,对北京地区前兆台网的密度问题进行了探讨。     

Numerical simulation of sloshing waves in a 3D tank based on a finite element method

The sloshing waves in a three dimensional (3D) tank are analysed using a finite element method based on the fully non-linear wave potential theory. When the tank is undergoing two dimensional (2D) motion, the calculated results are found to be in very good agreement with other published data. Extensive calculation has been made for the tank in 3D motion. As in 2D motion, in addition to normal standing waves, travelling waves and bores are also observed. It is found that high pressures occur in various circumstances, which could have important implications for many engineering designs.     

冻土的蠕变及蠕变强度

基于试验，本本讨论分析了冻土三轴蠕变规律及温度和围压对冻土蠕变强度的影响，给出了土蠕变及蠕变强度随时间降低的方程式，进而提出了冻土蠕变强度的物型屈服准则。通过改变参数可将冻土的瞬时强度准则与冻土的瞬时强度准则与冻土的蠕变强度准则统一为同一个方程描述。     

滇西地区近期重力场变化与地震活动

对2010—2012年川滇西部地区流动重力资料进行统一处理,得到区域重力场变化图象,并以此为基础研究2012年宁蒗-盐源5.7、彝良5.7级地震与区域重力场变化及安宁河-则木河断裂带的关系。结果显示:震区局部重力场在两次地震前均出现了快速、大幅的上升变化,在约一年的时间内增加了约60×10 nms-2的重力变化量。     

测站降雹和区域降雹气候特征对比分析

应用1960～2001年测站降雹和区域降雹(包括非测站资料)两种资料,对山东省降雹气候特征进行了对比分析,计算分析了山东省两种降雹资料气候图的相似离度。分析结果表明,区域降雹比测站降雹明显偏多,但时间和空间分布趋势基本一致,相似度在86％%以上,应用测站降雹资料制作的气候图具有86％的代表性。     

A modified analytical method for the shipboard determination of nanomolar concentrations of orthophosphate in seawater

A method for the determination of nanomolar concentrations of orthophosphate in oligotrophic seawater developed by Liang et al. (2007) has been modified to make it fully feasible for shipboard application and for faster sample throughput with minimized sample volume. The technique is based on the flow injection method with solid phase extraction on a Sep-Pak C18 cartridge and colorimetric detector. The Schlieren effect was minimized by rinsing the cartridge sequentially with 5 mL water and 2 mL 95% ethanol solution. With three micro pumps in parallel, savings of up to 80% in amount of reagents and 25% volume of seawater samples could be achieved in comparison to the previous method. Variation of stopped flow time and sample loading time gave 3 different standard curves, which corresponded to 3 linear ranges within 3.4 and 515 nM. The modified method permits the analysis of samples over a wide range of concentrations, and has been successfully applied to shipboard determination of trace orthophosphate in more than 200 seawater samples during a one-month cruise in the South China Sea. For seawater at concentrations of 20.6, 82.5, 206.2 nM orthophosphate, the relative standard deviations (RSD) (n = 6), determined daily for 6 days on board ship were 4.45%, 4.73% and 6.75%, respectively. Five seawater samples collected in the Station SEATS (South East Asia Time Series Station at 18°N, 116°E) were analyzed using the present method both on board and in a land-based laboratory, as well as with the magnesium hydroxide-induced coprecipitation (MAGIC) method, and showed no significant difference according to the statistical t-test.     

哀牢山过山气流的气候效应

本文研讨哀牢山脉北段西南季风与东北季风的过山气候效应。     

Field detection of chlorophyll-a concentration in the sea surface layer by an airborne oceanographic lidar

An airborne oceanographic lidar, with a frequency-tripled Q-switched Nd： YAG laser of 355 nm, has been designed to measure chlorophyll-a （Chl-a） concentration in the sea surface layer by the Ocean Remote Sensing Institute, OUC. The field experiment was carried out in the bay which is located south of the Liaodong Peninsula on the 10th of September 2005. After the flight, the raw data were processed and analyzed by the fluorescence-to-Raman ratio method with seawater attenuation coefficients calculated from signal profiles. The results of Chl-a concentration sea water were also compared with those of Chl-a concentration by measurements by lidar are shown. The measurements in clear a Moderate Resolution Imaging Spectroradiometer （MODIS）.     

Submarine landslide identified in DLW3102 core of the northern continental slope,South China Sea

In this paper, we take DLW3101 core obtained at the top of the canyon(no landslide area) and DLW3102 core obtained at the bottom of the canyon(landslide area) on the northern continental slope of the South China Sea as research objects. The chronostratigraphic framework of the DLW3101 core and elemental strata of the DLW3101 core and the DLW3102 core since MIS5 are established by analyzing oxygen isotope, calcium carbonate content, and X-Ray Fluorescence(XRF) scanning elements. On the basis of the information obtained by analyzing the sedimentary structure and chemical elements in the landslide deposition, we found that the DLW3102 core shows four layers of submarine landslides, and each landslide layer is characterized by high Si, K, Ti, and Fe contents, thereby indicating terrigenous clastic sources. L1(2.15–2.44 m) occurred in MIS2, which is a slump sedimentary layer with a small sliding distance and scale. L2(15.48–16.00 m) occurred in MIS5 and is a debris flow-deposited layer with a scale and sliding distance that are greater than those of L1. L3(19.00–20.90 m) occurred in MIS5; its upper part(19.00–20.00 m) is a debris flow-deposited layer, and its lower part(20.00–20.90 m) is a sliding deposition layer. The landslide scale of L3 is large. L4(22.93–24.27 m) occurred in MIS5; its upper part(22.93–23.50 m) is a turbid sedimentary layer, and its lower part(23.50–24.27m) is a slump sedimentary layer. The landslide scale of L4 is large.