山西省气象卫星遥感监测信息系统

本文主要介绍了山西省气象卫星遥感监测信息系统的组成、各子系统的主要功能及其工作流程。系统的建立，采用引进和自行开发相结合的方法，考虑了山西特殊的地理位置和气候背景，遥感监测产品取得了满意的结果，系统操作简便，直观明了，很受用户的欢迎。     

茫崖温石棉的纤维X光照相研究

茫崖石棉矿是我国大型超基性岩型温石棉矿床。温石棉作为一种矿物在宏观上可以是纤维状的,也可以是非纤维状的。但是,作为工业矿物的温石棉都是呈纤维状的。作者对茫崖温石棉进行了纤维X光照相,揭示了其结构特征,鉴定了温石棉的多型,测定了温石棉2M_(c1)和20_(rc1)的含量百分比,在个别样品中发现有极少量的副温石棉,一些样品中发现有Povlen型温石棉,这是在我国的温石棉纤维中首次找到Povlen型温石棉。     

基于宏基因组测序研究中太平洋海山富钴结壳区非培养微生物生态功能

富钴结壳是一种重要的海底矿产资源.富钴结壳是生物地球化学和微生物学的研究热点,但目前我们对富钴结壳区的微生物群落结构仍缺乏认识.本研究针对中太平洋海山富钴结壳区沉积物,采用非培养方法获得微生物基因组信息并分析其生态学功能.采用PCR的方法筛选得到78个带有16S rRNA基因的克隆.变形杆菌门和奇古菌门MGI类群分别为古菌和细菌的主要类群.测序并分析了9个带有16S rRNA 基因的fosmid克隆.这些克隆中含有较多的代谢相关和重金属抗性相关基因,表明多样的代谢和抗逆途径在微生物适应富钴结壳环境中发挥了重要作用.代谢途径分析表明,氮循环是富钴结壳区一种重要的生物地球化学过程.此外,发现多个水平基因转移事件,这些基因大部分转移自细菌,少量转移自古菌或植物.比较基因组分析表明,属于奇古菌门MGI类群的克隆W4-93包含一段共线性的基因簇.以上结果说明水平基因转移和基因组分歧进化在微生物适应深海环境过程中发挥了重要作用.     

黑龙江乌拉嘎大型金矿床流体包裹体特征及矿床成因研究

乌拉嘎金矿床是受断裂构造和中酸性侵入体联合控制的浅成低温热液型矿床,区内黑龙江群变质岩为成矿提供物源．燕山期花岗斑岩是主要的容矿围岩．深部岩浆源为成矿提供了热动力。矿体受构造引张部位和构造交汇部位控制．在空间上侧伏斜列。矿石矿物主要有自然金、黄铁矿、白铁矿、辉锑矿、自然银等,脉石矿物有玉髓状石英、胶状蛋白石、碳酸盐、冰长石、绢云母、高岭土等;矿石结构主要为胶状结构、细粒状结构和碎裂结构,矿石构造为脉状、网脉状和角砾状构造．矿石的矿物组合和组构均显示典型的低温矿物组合和组构特点。流体包裹体研究表明,石英中主要发育气液两相及少量单液相包裹体．成矿流体属H2O—NaCl体系类型。成矿流体具有低盐度（1．22％-5．4％NaCl）、低密度（0．88--0．96g／cm^3）的特征,成矿温度为140～220℃,成矿平均压力为23．24MPa,形成深度为2．32km。通过氢、氧同位素分析认为,成矿流体δDSMOW,值为-78．25‰-132．64‰,6moHp值为-3．7‰～6．23‰,表明成矿流体主要来自大气降水。综合研究表明．乌拉嘎金矿属于由中性、近还原和低温流体形成的低硫化型浅成低温热液金矿床。     

创建让群众满意的基层所

10月24日上午,修武县国土资源局周庄所代表全市国土资源系统接受全省“群众满意基层站所”评议工作经验交流会领导及与会70余人的检验,并得到了高度评价。     

地球同步卫星定位系统多值解研究

本文叙述了地球同步卫星定位系统中多值解的含义,详细地讨论了多值解产生的原因和条件,给出了寻找多值解的方法,对改善多值解计算提出了初步设想。     

迎接知识经济——山西气象事业发展的机遇

２１世纪是知识经济占主导地位的世纪,气象作为信息行业,知识资本雄厚,人才资源密集。气象知识产业的发展对于欠发达地区的山西气象事业则更多提机遇与挑战。优势方面包括：气象行业属高科技的信息产业,贴近知识经济;气象资源可持续开发利用;部门人人才较为集中,知识更新快;部门的无形资产将逐渐发挥出来。挑战与困难有：观念不适应;人才与知识结构不适应;发展初期的困难不容忽视。     

建设生态古城 打造低碳水乡

台儿庄区位于山东省最南部,地处鲁苏交界,是震惊中外的台儿庄大战发生地。全区总面积538．5平方公里．辖5镇和1个街道,共211个行政村（居）、30．1万人、耕地面积40万亩,2001年被列为全国首批中小生态城市试验区。我们枣庄是全国知名的煤城,开采煤炭已经有1500多年的历史。     

东海富营养化封闭海水养殖海域浮游植物分布与控制因子

The distribution of phytoplankton and its correlation with environmental factors were studied monthly during August 2012 to July 2013 in the Yantian Bay. A total of 147 taxa of phytoplankton were identified, and the average abundance was in the range of 0.57×10~4 to 7.73×10~4 cell/L. A total of 19 species dominated the phytoplankton assemblages, and several species that are widely reported to be responsible for microalgae blooms were the absolutely dominant species, such as Skeletonema costatum, Navicula sp., Thalassionema nitzschioides,Pleurosigma sp., and Licmophora abbreviata. The monthly variabilities in phytoplankton abundance could be explained by water temperature, dissolved oxygen, salinity, dissolved inorganic nitrogen(DIN), and suspended solids. The results of a redundancy analysis showed that p H and nutrients, including DIN and silicate(SiO_4), were the most important environmental factors controlling phytoplankton assemblages in specific months. It was found that nutrients and pH levels that were mainly influenced by mariculture played a vital role in influencing the variation of phytoplankton assemblages in the Yantian Bay. Thus, a reduction of mariculture activities would be an effective way to control microalgae blooms in an enclosed and intensively eutrophic bay.     

黄海苏北浅滩海域春夏季浮游植物时空分布及其控制生态因子

The Subei Shoal is a special coastal area with complex physical oceanographic properties in the Yellow Sea. In the present study, the distribution of phytoplankton and its correlation with environmental factors were studied during spring and summer of 2012 in the Subei Shoal of the Yellow Sea. Phytoplankton species composition and abundance data were accomplished by Uterm?hl method. Diatoms represented the greatest cellular abundance during the study period. In spring, the phytoplankton cell abundance ranged from 1.59×10~3 to 269.78×10~3 cell/L with an average of 41.80×10~3 cell/L, and Skeletonema sp. and Paralia sulcata was the most dominant species. In summer, the average phytoplankton cell abundance was 72.59×10~3 cell/L with the range of 1.78×10~3 to 574.96×10~3 cell/L, and the main dominant species was Pseudo-nitzschia pungens, Skeletonema sp., Dactyliosolen fragilissima and Chaetoceros curvisetus. The results of a redundancy analysis(RDA) showed that turbidity,temperature, salinity, pH, dissolved oxygen(DO), the ratio of dissolved inorganic nitrogen to silicate and SiO_4-Si(DIN/SiO_4-Si) were the most important environmental factors controlling phytoplankton assemblages in spring or summer in the Subei Shoal of the Yellow Sea.