新的金矿物—珲春矿（Au2Pb）

珲春矿产于吉林东部珲春河第四系冲积砂金矿中,矿物粒度十分细小,常与自然金或阿纽依矿(AuPb_2)呈文象交生。在光学显微镜下新鲜面为灰白色,金属光泽,氧化后颜色变暗。等轴晶系,Fd3m空间群,显微硬度128～149kg/mm~2。化学成分:Au 63.38％～66.26％,Pb 31.60％～24.64％,Ag 1.76％～2.96％。矿物化学式为Au_2Pb。     

汤原断陷断裂构造特征及其对油气成藏的控制作用

汤原断陷是典型的受断裂控制的陆相盆地。盆地内断裂极为发育。断裂的发育主要有 Ｎ Ｅ向和 Ｎ Ｗ － Ｎ Ｗ Ｗ 方向,断裂的分布具有东西分带,南北分群的特征。按断裂的成因类型可划分出７ 种类型。断裂对油气生成、运聚及成藏的控制作用主要表现在：基底大断裂控制了烃源岩的展布,主干断裂控制了圈闭的形成和分布,断裂为油气运移提供了通道作用,断裂的封闭性为油气的聚集成藏提供了遮挡条件。     

喀斯特地区某桩基工程溶洞的处理措施

本文总结了粤北喀斯特地区某桩基础工程的施工过程,论述了喀斯特地区的溶洞特征及所采取的处理措施。     

斜坡上异重流的三维数值模拟

针对异重流的流动特征,建立了适用于具有各向异性浮力紊动特征的三维异重流运动的数学模型,并模拟了异重流在15°斜坡底面上的潜行过程。计算结果准确地模拟了异重流的运动特征和形态,其前锋的潜行速度与实验结果相当吻合。该模型采用非结构同位网格上的SIMPLEC算法能适应复杂边界和地形,可应用于自然界实际环境中异重流的演进计算。     

数字地图制图中多源数据(资料)的综合应用

探讨了数字地图制图中多源数据综合应用的技术方法,主要内容包括多源数据(资料)的分类、分析与评价;数据获取和基本的处理方法。最后介绍了利用TM影像、全国公路网GPS测量数据和数字海图等几种数据源制作1∶25万协同图的相关情况。     

热敏直接制版与数码打样技术

CTP(计算机直接制版)技术,特别是热敏直接制版技术已经在世界范围内得到了广泛应用,它是印刷工业发展的大趋势。在某种程度上说,CTP技术推动了数码打样技术的发展,数码打样设备成了CTP系统必需配备的关键设备。针对CTP技术和数码打技术以及二者的关系进行了介绍与讨论,进一步对数码打样技术的应用进行了理论上和实践上的探讨。另外,在CTP环境下,比较细致地分析和讨论了如何输出数码打样来模拟胶印效果,通过多次数码打样实验、数据分析与校正,最终数码打样与胶印结果非常接近。     

地图制图专家知识对地理信息符号化过程的控制

针对纸质地图数字化得到地理信息(空间数据)的过程中存在地图信息损失的问题,阐述了产生这种损失的原因。数字化后得到的地理信息是各种GIS应用系统的重要数据源,在GIS应用中需要把这些地理信息重新再现成地图。为了得到较好的地图显示效果,有必要将数字化后损失的地图信息在从地理数据到地图符号化的过程中进行补偿。论述了在符号化过程中如何充分利用地图制图专家的多年知识和经验,将用自然语言表达的不确定性的专家知识形式化,以此来控制整个符号化的过程,达到改善地图显示效果的目的。     

应用嵌套模式研究梅梁湖区风生流

应用数值嵌套模式,研究不同风向情况下,梅梁湖与竺山湖之间的马山区围垦对梅梁湖风生流的影响。结果表明:风场作用初期,偏Ｓ风使得太湖湖水流入梅梁湖;偏Ｎ风使得梅梁湖湖水流入太湖。梅梁湖稳定风生流流态表现为:在S、E风作用下形成逆时针环流;在N、W风作用下形成顺时针环流。马山区围垦阻隔了梅梁湖与竺山湖之间的湖水交换,进而影响梅梁湖的风生流流态,导致其湖水更新速度减慢。     

Evaluation of the fishery status for King Soldier Bream Argyrops spinifer in Pakistan using the software CEDA and ASPIC

Catch and effort data were analyzed to estimate the maximum sustainable yield(MSY) of King Soldier Bream, Argyrops spinifer(Forssk?l, 1775, Family: Sparidae), and to evaluate the present status of the fish stocks exploited in Pakistani waters. The catch and effort data for the 25-years period 1985–2009 were analyzed using two computer software packages, CEDA(catch and effort data analysis) and ASPIC(a surplus production model incorporating covariates). The maximum catch of 3 458 t was observed in 1988 and the minimum catch of 1 324 t in 2005, while the average annual catch of A. spinifer over the 25 years was 2 500 t. The surplus production models of Fox, Schaefer, and Pella Tomlinson under three error assumptions of normal, log-normal and gamma are in the CEDA package and the two surplus models of Fox and logistic are in the ASPIC package. In CEDA, the MSY was estimated by applying the initial proportion(IP) of 0.8, because the starting catch was approximately 80% of the maximum catch. Except for gamma, because gamma showed maximization failures, the estimated results of MSY using CEDA with the Fox surplus production model and two error assumptions, were 1 692.08 t(R 2 =0.572) and 1 694.09 t( R 2 =0.606), respectively, and from the Schaefer and the Pella Tomlinson models with two error assumptions were 2 390.95 t( R 2 =0.563), and 2 380.06 t( R 2 =0.605), respectively. The MSY estimated by the Fox model was conservatively compared to the Schaefer and Pella Tomlinson models. The MSY values from Schaefer and Pella Tomlinson models were the same. The computed values of MSY using the ASPIC computer software program with the two surplus production models of Fox and logistic were 1 498 t(R 2 =0.917), and 2 488 t( R 2 =0.897) respectively. The estimated values of MSY using CEDA were about 1 700–2 400 t and the values from ASPIC were 1 500–2 500 t. The estimates output by the CEDA and the ASPIC packages indicate that the stock is overfished, and needs some effective management to reduce the fishing effort of the species in Pakistani waters.     

Application of a Delay-difference model for the stock assessment of southern Atlantic albacore (Thunnus alalunga)

Delay-difference models are intermediate between simple surplus-production models and complicated age-structured models. Such intermediate models are more efficient and require less data than age-structured models. In this study, a delay-difference model was applied to fit catch and catch per unit effort(CPUE) data(1975–2011) of the southern Atlantic albacore(Thunnus alalunga) stock. The proposed delay-difference model captures annual fluctuations in predicted CPUE data better than Fox model. In a Monte Carlo simulation, white noises(CVs) were superimposed on the observed CPUE data at four levels. Relative estimate error was then calculated to compare the estimated results with the true values of parameters α and β in Ricker stock-recruitment model and the catchability coefficient q. α is more sensitive to CV than β and q. We also calculated an 80% percentile confidence interval of the maximum sustainable yield(MSY, 21756 t to 23408 t; median 22490 t) with the delay-difference model. The yield of the southern Atlantic albacore stock in 2011 was 24122 t, and the estimated ratios of catch against MSY for the past seven years were approximately 1.0. We suggest that care should be taken to protect the albacore fishery in the southern Atlantic Ocean. The proposed delay-difference model provides a good fit to the data of southern Atlantic albacore stock and may be a useful choice for the assessment of regional albacore stock.