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61.
Bing Zhang XIANFANG SONG YINGHUA ZHANG YING MA CHANGYUAN TANG LIHU YANG ZHONG-LIANG WANG 《Journal of Earth System Science》2016,125(7):1495-1507
The relationship between surface water and groundwater not only influences the water quantity, but also affects the water quality. The stable isotopes (δD, δ 18O) and hydrochemical compositions in water samples were analysed in the Second Songhua River basin. The deep groundwater is mainly recharged from shallow groundwater in the middle and upper reaches. The shallow groundwater is discharged to rivers in the downstream. The runoff from upper reaches mainly contributed the river flow in the downstream. The CCME WQI indicated that the quality of surface water and groundwater was ‘Fair’. The mixing process between surface water and groundwater was simulated by the PHREEQC code with the results from the stable isotopes. The interaction between surface water and groundwater influences the composition of ions in the mixing water, and further affects the water quality with other factors. 相似文献
62.
固体聚合膜电解浓集法是浓缩氚含量较低(1 Bq/m~3)的天然水样的常用方法,但因水样自身含有杂质离子或电解装置聚合膜带入杂质进入浓集液,使浓集液偏酸性,在测量过程中易产生化学淬灭效应,导致氚的测量值偏低。本文研究了水样自身存在的杂质离子和聚合膜上残留的杂质离子、样品溶液的pH值及其电导率所产生的化学淬灭效应的影响,实验表明,为减少化学淬灭效应,提高测量低含量氚的准确性,需保证水样溶液呈中性,电导率≤1μS/cm,同时避免杂质沉积在聚合膜上。如果水样溶液的pH值偏酸性、电导率大于1μS/cm,可采用酸碱混合型离子交换树脂去除水样中自身的杂质;对于聚合膜引入的杂质,可在电解后的水样中加入微量氨水将其pH值调节至中性。 相似文献
63.
利用1979—2012年逐月Hadley中心海表温度、欧洲中期天气预报中心次表层海温、NCEP/NCAR风场再分析资料,对两类中太平洋(CP)El Nio及耦合的大气环流特征进行分析。结果表明,第一类CP El Nio(CP-ⅠEl Nio)增暖中心位于Nio4区且关于赤道对称;第二类CP El Nio(CP-ⅡEl Nio)的Nio4区与热带东北太平洋区域(NEP,130~110°W、15~25°N)同位相变化,冬季成熟后形成关于赤道非对称的带状增暖结构。进一步的研究表明,两类CP El Nio次表层结构存在差异:CP-ⅠEl Nio冬季次表层海温异常(SOTA)在中东太平洋与西太平洋呈显著偶极分布;CP-ⅡEl Nio在中、西太平洋位相相反但东太平洋异常较弱,且经向异常主要在赤道及其以北。两类CP El Nio耦合的大气环流特征不同:CP-ⅠEl Nio冬季异常Walker环流上升中心位于赤道上空,经向风向赤道辐合,低纬地区Hadley环流加强;CP-ⅡEl Nio冬季低层向北越赤道气流加强,Walker环流上升中心移到赤道以北,低纬地区Hadley环流减弱。 相似文献
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66.
玲珑金矿属于以石英脉型为主的金矿床,其矿脉受玲珑断裂和破头青断裂控制。区内脉群发育,175号脉群是玲珑金矿的主要大型金矿脉群之一。文章通过总结175号脉群成矿地质背景、矿床地质特征,分析了控矿因素、矿体赋存规律、矿石类型等;阐述了175号脉群深部成矿规律,并根据见矿工程利用地质块段法预测175号脉群11—101勘探线范围-800 m标高以下(332+333)金矿石量192.44×10~4 t,金金属量8.5t。 相似文献
67.
Analysis on Marine Science and Technology Strategy and Key Layout of Japan and the Inspirations to China 总被引:1,自引:0,他引:1
The Basic Ocean Law (BOL) and Basic Ocean Plan (BLP) are important guarantee for the maritime strategy of Japan, which has established a complete policy system for the development of marine science and technology. On the other hand, the Japanese Government has started some major marine strategies and plans to promote the BLP. In this paper, the marine science and technology plans launched by the Japanese Government and its participation in the international cooperative research projects were introduced. The research of Japan Marine Science and Technology Center and the University of Tokyo Institute of Oceanography in the long-term planning and focus on the layout features, deep sea research technology layout, contents and advanced equipment were analyzed. At last, some recommendations for China’s development on marine science and technology were proposed, such as strengthening the legislation work and process, carrying out research and development of marine infrastructure with independent intellectual property rights, actively participating in international large-scale ocean plan, improving the discourse right and enhancing national maritime awareness and suggestions and so on. 相似文献
68.
为研究褐菖鲉(Sebastiscus marmoratus)发育早期氨基酸和脂肪酸的组成及变化规律,采用GC/MS法等方法分析了褐菖鲉的受精卵、初产仔鱼、前仔鱼期和后仔鱼期四个阶段的氨基酸和脂肪酸组成特点及其含量变化。结果表明:(1)总氨基酸含量从受精卵至初产仔鱼显著下降、前仔鱼期又显著回升、至后仔鱼期再次呈显著下降(P0.05);(2)总游离氨基酸量以初产仔鱼最高,是受精卵的10倍,各期的游离氨基酸占总氨基酸比值为1.4%—20.0%;(3)受精卵中以DHA、C16:0两者实际含量最高,分别为104.88 mg/g和68.74 mg/g,C18:1n-9和EPA次之,分别为41.23 mg/g和27.23 mg/g;(4)褐菖鲉内源性营养阶段被选择性消耗的主要脂肪酸依次为C16:0C18:1EPADHAARA,就脂肪酸的利用率而言MUFASFAPUFA;(5)褐菖鲉仔鱼在开口后的外源营养阶段对脂肪酸的利用率为PUFASFAMUFA,其中DHA相对EPA和ARA被选择性消耗。研究表明,褐菖鲉受精卵的游离氨基酸/总氨基酸比值符合海水鱼类沉性卵的特征,褐菖鲉在早期发育不同阶段对脂肪酸消耗具有不同的选择性,C16:1、C16:0、C18:0和C18:1是褐菖鲉早期发育的主要能源物质,在褐菖鲉开口饵料中添加一定水平的异亮氨酸、亮氨酸、酪氨酸等氨基酸及高度不饱和脂肪酸DHA等是十分必要的。 相似文献
69.
Shuqiang Xue Jiping Liu Jinzhong Mi Chun Dong Yingyan Cheng 《International journal of geographical information science》2016,30(11):2155-2170
The calculation of surface area is meaningful for a variety of space-filling phenomena, e.g., the packing of plants or animals within an area of land. With Digital Elevation Model (DEM) data we can calculate the surface area by using a continuous surface model, such as by the Triangulated Irregular Network (TIN). However, just as the triangle-based surface area discussed in this paper, the surface area is generally biased because it is a nonlinear mapping about the DEM data which contain measurement errors. To reduce the bias in the surface area, we propose a second-order bias correction by applying nonlinear error propagation to the triangle-based surface area. This process reveals that the random errors in the DEM data result in a bias in the triangle-based surface area while the systematic errors in the DEM data can be reduced by using the height differences. The bias is theoretically given by a probability integral which can be approximated by numerical approaches including the numerical integral and the Monte Carlo method; but these approaches need a theoretical distribution assumption about the DEM measurement errors, and have a very high computational cost. In most cases, we only have variance information on the measurement errors; thus, a bias estimation based on nonlinear error propagation is proposed. Based on the second-order bias estimation proposed, the variance of the surface area can be improved immediately by removing the bias from the original variance estimation. The main results are verified by the Monte Carlo method and by the numerical integral. They show that an unbiased surface area can be obtained by removing the proposed bias estimation from the triangle-based surface area originally calculated from the DEM data. 相似文献
70.
Wei-yue Li Chun Liu Yang Hong Xin-hua Zhang Zhan-ming Wan Manabendra Saharia Wei-wei Sun Dong-jing Yao Wen Chen Sheng Chen Xiu-qin Yang Yue Yue 《山地科学学报》2016,13(7):1275-1285
Landslide inventory plays an important role in recording landslide events and showing their temporal-spatial distribution. This paper describes the development, visualization, and analysis of a China's Landslide Inventory Database (CsLID) by utilizing Google’s public cloud computing platform. Firstly, CsLID (Landslide Inventory Database) compiles a total of 1221 historical landslide events spanning the years 1949-2011 from relevant data sources. Secondly, the CsLID is further broken down into six zones for characterizing landslide cause-effect, spatiotemporal distribution, fatalities, and socioeconomic impacts based on the geological environment and terrain. The results show that among all the six zones, zone V, located in Qinba and Southwest Mountainous Area is the most active landslide hotspot with the highest landslide hazard in China. Additionally, the Google public cloud computing platform enables the CsLID to be easily accessible, visually interactive, and with the capability of allowing new data input to dynamically augment the database. This work developed a cyber-landslide inventory and used it to analyze the landslide temporal-spatial distribution in China. 相似文献