西北干旱区湖泊的近期变化

本文阐述了西北干旱地区湖泊变化的概况,论证了引起变化的原因,并分析了湖泊变化对湖区环境的影响:气候日益恶化,沙漠化面积扩大,林带消失、植被衰退,鱼类资源增殖受阻、产量下降。此外,还结合变化原因,提出了相应的治理建议。     

太平煤矿深厚土层的水文地质工程地质性质

依据对太平煤矿3号煤区深厚土层的水文地质与工程地质勘测及室内外实验结果,分析了主要的水文地质与工程地质特征及其对3号煤开采的影响,对矿区防水煤岩柱留设高度进行了合理确定。     

新疆哈勒尕提矽卡岩型铁铜矿的地质特征及找矿意义

哈勒尕提铁铜床矿位于西天山博罗科努Au、Pb、Zn、Cu、Mo异常带中,矿区发现矽卡岩型铁铜和铅锌矿体15个。铜矿、铁矿已达中型,通过深部工程控制,初步查明全区(331+332+333)类资源量:铜金属量15.2959万t,铁矿石量1321.83万t,铅金属量2341 t,锌金属量12905 t;平均品位Cu1.09%、TFe 25.55%、Pb 1.03%、Zn 5.70%。伴生组分金属量:金2.64 t、银223 t、锌7.31万t。主矿体Ⅳ、Ⅵ体在空间上分布与大理岩小残留体的形态、产状有关,同时也是化探异常浓集中心、物探低缓磁异常分布交汇的部位以及矽卡岩最为发育的地段。主矿体赋存有明显的规律性。这些成矿的地质、物化探标志性特征,对该区寻找矽卡岩型矿床有重要指导意义。     

云南省东北部拱王山第四纪冰川遗迹研究

云南省东北部的拱王山海拔３１００ｍ以上的山地发生过第四纪冰川作用，典型的冰川遗迹集中分布在轿子山峰附近和妖精塘－牛洞坪两个地区，遗存的冰川地貌主要有冰斗，冰蚀岩盆和侧碛堤。根据冰川地貌的组合特征，以及它们生成的先后顺序，将拱王山第四纪冰川作用划分为末次冰期的倒数第二期冰期。     

Geology and Geochemistry of Maoling Gold Deposit, Gaixian, Liaoning Province

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基于北斗/GNSS的中国-中南半岛地区大气水汽气候特征及同降水的相关分析

本文采用统一的处理模型和处理策略对中国-中南半岛地区地基北斗/GNSS测站2006—2016年历史观测数据进行高精度重处理和水汽反演,获得近10年的大气可降水含量（PWV）产品。基于北斗/GNSS PWV产品,研究了该地区大气水汽平均含量、年周期振幅和半年周期振幅等气候特征,发现这些特征主要受到了测站纬度、高程以及季风的影响。通过分析PWV同并址气象站降水观测的关联特性,揭示了该地区大气水汽含量同降水相关性随测站纬度减小而降低的特点（在云南相关系数可达0.8,在靠近赤道的泰国南部相关系数约为0.2）。此外,PWV和降水的距平值相关分析表明,相比于历史同期,大气水汽含量较高的月份在一定程度上对应着降水异常偏高,两者相关系数为0.2~0.4。     

基于密度的线数据分组算法研究

目前,地理空间数据面临着由于数据量膨胀和计算量高速增长而引起算法效率低的问题,采用"分而治之"的数据分组策略提高运算效率已成为研究的热点。面向分布不均匀的线数据,本文提出了基于密度的线数据分组算法(简称LGAD)。首先,算法通过查找高密度区提取样本线段,保证了分组算法的起点落到高密区;其次,考虑线空间拓扑关系的复杂性,引用水平、垂直和夹角距离度量线段间距离,创建样本线段与其他线段的距离矩阵;最后,以距离矩阵和最优选择方法实现数据负载均衡分组。实验结果显示,对数据分组和分组后数据进行线段聚类的2个过程中,该算法体现了较好的时间优势,与串行计算相比,在分组数为2-12 时,平均比率达4.3,提高了应用的响应速度,具有较好的实际意义。     

Geochemical studies on Dachang antimony ore deposit in Qinglong, Guizhou Province

The Dachang antimony deposit in Qinglong,Guizhou Province,is strictly controlled by the “Dachang Layer” which is a complex altered rock occurring at unconformity between the Permian Emeishan basalt and the Maokou limestone.Based on the studies of the hanging-and foot-wall rocks,the trace elements and REE contents of the rocks and ores and heavy placer minerals in the basalt,this paper is focused on the relations between these data and the “Dachang Layer”and its hanging- and oot-wall rocks.The author pointed out that the “Dachang Layer” and basalt are the source-beds of antimony;ilmenite and magnetite are the major mineral carriers of antimony.In the processes of halmyrosis and burial metamorphism of the “Dachang Layer” an basalt,antimony was mobilized along with the mobilization of iron and was preliminarily concentrated in the“ Dachang Layer”.     

基于GPS高程时间序列粗差的抗差探测与插补研究

研究抗差估计和稳健估计粗差探测IQR准则的粗差剔除算法以及缺值点插值的正交多项式最小二乘拟合方法。以中国3个CORS基准站从1999-03-01—2009-12-31日的单天解GPS高程时间序列为对象进行粗差探测与插补的试验。结果表明：抗差估计比IQR准则能更有效地探测和剔除粗差;三次样条插值当连续缺失历元超过5~10个时插值结果易发生扭曲;低次正交多项式拟合的结果稳定,一般选择2~3次拟合即可获得理想的效果,当连续缺失历元达3个月时,正交多项式拟合后的曲线与序列趋势仍基本一致。     

Silicon limitation on primary production and its destiny in Jiaozhou Bay, China——Ⅳ：Study on cross-bay transect from estuary to ocean

The authors analyzed the data collected in the Ecological Station Jiaozhou Bay from May 1991 to November 1994, including 12 seasonal investigations, to determine the characteristics, dynamic cycles and variation trends of the silicate in the bay. The results indicated that the rivers around Jiaozhou Bay provided abundant supply of silicate to the bay. The silicate concentration there depended on river flow variation. The horizontal variation of silicate concentration on the transect showed that the silicate concentration decreased with distance from shorelines. The vertical variation of it showed that silicate sank and deposited on the sea bottom by phytoplankton uptake and death, and zooplankton excretion. In this way, silicon would endlessly be transferred from terrestrial sources to the sea bottom. The silicon took up by phytoplankton and by other biogeochemical processes led to insufficient silicon supply for phytoplankton growth. In this paper, a 2D dynamic model of river flow versus silicate concentration was established by which silicate concentrations of 0.028–0.062 μmol/L in seawater was yielded by inputting certain seasonal unit river flows (m³/s), or in other words, the silicate supply rate; and when the unit river flow was set to zero, meaning no river input, the silicate concentrations were between 0.05–0.69 μmol/L in the bay. In terms of the silicate supply rate, Jiaozhou Bay was divided into three parts. The division shows a given river flow could generate several different silicon levels in corresponding regions, so as to the silicon-limitation levels to the phytoplankton in these regions. Another dynamic model of river flow versus primary production was set up by which the phytoplankton primary production of 5.21–15.55 (mgC/m²·d)/(m³/s) were obtained in our case at unit river flow values via silicate concentration or primary production conversion rate. Similarly, the values of primary production of 121.98–195.33 (mgC/m²·d) were achieved at zero unit river flow condition. A primary production conversion rate reflects the sensitivity to silicon depletion so as to different phytoplankton primary production and silicon requirements by different phytoplankton assemblages in different marine areas. In addition, the authors differentiated two equations (Eqs. 1 and 2) in the models to obtain the river flow variation that determines the silicate concentration variation, and in turn, the variation of primary production. These results proved further that nutrient silicon is a limiting factor for phytoplankton growth. This study was funded by NSFC (No. 40036010), and the Director's Fund of the Beihai Sea Monitoring Center, the State Oceanic Administration.