封丘县夏蝗发生与气候条件的关系

利用1980～200l午封丘县夏蝗发生资料和同期该地区气候资料，采用合成分析法，分析了气候条件对夏蝗发生的影响，并找出了一些预测夏蝗发生的定性预报因子。     

对波达波夫和Pride震电波方程组的对比分析

用Biot介质参数说明了波达波夫震电波方程组中弹性动力学 参数的含义，解释了第一类和第二类震电效应的意义，在忽略第一类震电效应条件下将该方 程组与Pride方程组进行比较，说明了二者在描述第二类震电效应方面的异同点. 同时指出 ：波达波夫方程组忽略了流体与固体的耦合质量；方程中的黏性耗散项丢掉了一个孔隙度因 子，依据该方程组计算出的弹性波和转换电场的幅度将偏大；边界条件之一存在错误，会影 响对波在界面上的反射透射规律的描述.     

ω循环型边界条件

通过利用预条件共轭梯度法对对称正定Toeplitz 矩阵系统进行分析，重点介绍了一种新的嵌入式预条件矩阵构造方法，证明了以前的预条件矩阵构造方法大都是这种方法的特例.提出了ω循环型边界条件，并将其与普通循环型及螺旋型边界条件作了分析、比较后得到了一种新的边界条件即混合型边界条件.     

一类热流问题解的存在性

热敏半导体器件中电位与温度满足的方程组，是一个椭圆－抛物耦合组，并带有混合边界条件。利用不动点定理可证明该问题解的存在性。     

我国黄铁矿矿床类型、分布规律及前景评估

中国黄铁矿资源丰富，按元素和矿物组合的不同，其矿床类型可分为：黄铁矿矿床；黄铁矿型铜矿床；含锌、铜黄铁矿型矿床；黄铁矿型多金属矿床；含钨黄铁矿型铜矿床；含锡黄铁矿型矿床；含金黄铁矿型矿床。最主要的成因类型是海底喷气沉积矿床，它广泛分布于不同时期的造山带及早前寒武纪克拉通。黄铁矿形成的构造环境可分为５种，即：边缘浅海或优地槽环境；上叠的断裂坳陷带；洋中脊；岛弧地带；陆相火山盆地。     

内蒙乌拉山金矿控矿条件及成矿作用

乌拉山金矿是华北地台北缘中西部地区近年来探明的有一定远景的金矿床。该矿床受大桦背岩体、韧性剪切带、脆性断裂构造和乌拉山群变质岩系等多种条件所控制，矿体呈脉状产出，成矿具有多期多阶段性，成矿时代较华北地台东缘金矿床早，为晚华力西期，其类型为中深成脉状金矿床     

ICAP仪器主要工作条件的优化方法研究

ＩＣＡＰ仪器在不同工作条件下，其测试精度与准确值差别是较大的。因此，正确进行工作条件的优化，是ＩＣＡＰ仪器分析工作的关键。本文从理论依据及实验方法两个方面探讨了实现条件优化的具体方法，以及其对于确保仪器的最佳测试状态和进一步扩大测试领域所具有的实际意义。     

中国北西部地区地浸砂岩型铀矿床的成矿条件与分布规律

中亚地区发现大量可地浸砂岩型铀矿床引起了我国的重视 ,目前正在积极开展此类型铀矿的找矿工作。我国北西部是寻找类似中亚地区层间氧化带后生地浸砂岩型铀矿床最理想的地区 ,本文在论述了区域大地构造特征、地壳演化与区域铀成矿带形成的基础上 ,着重阐明了区域中新生代盆地地浸砂岩型铀矿床形成的铀源条件、盆地类型与结构及富铀性对形成地浸砂岩型铀矿的影响 ;并以区内已有层间氧化带地浸砂岩型铀矿床为例 (伊犁盆地、二连盆地与测老庙盆地砂岩型铀矿床 ) ,论述了盆地砂岩型铀矿床形成的岩相古地理条件、水文地质与层间氧化带发育条件及对铀成矿的影响 ;并阐述了本区层间氧化带地浸砂岩型铀矿床的分布规律     

西秦岭铀矿床含矿热液物理化学条件改变对铀沉淀影响

本文研究了西秦岭铀矿床含矿热液物理化学条件的改变对铀沉淀富集的影响。研究表明，铀在相对还原条件下迁移，而在相对氧化条件下沉淀富集。铀的沉淀富集主要发生在含矿热液的温度、压力和氧逸度大幅度降低，酸性增强及氧化－还原电位增高的物理化学条件下。     

Hazard mapping based on macroseismic data considering the influence of geological conditions

The object of this study is to consider directly the influence of regional geological conditions on the assessment of seismic hazard. It is assumed that macroseismic data at individual locations contain, in an average way, the influence of geological conditions.A Data Base referring to 199 historical (5) and instrumental (194, in the 1947–1993 period) events with macroseismic information in 1195 locations of Portugal was built. For any given seismic event, whenever macroseismic information was available at a location (town, village, etc.), an EMS-92 intensity value was estimated. To each one of those locations a geological unit, representing the most common type of soil, was assigned, based on the Geological Portuguese Map at a scale 1:500 000; the geological units were grouped into three categories: soft, intermediate and hard soils.The Data Base was used to determine the attenuation laws in terms of macroseismic intensity for the three different geological site conditions, using multiple linear regression analysis. The reasonability of the laws was tested by (i) checking residual distributions and (ii) comparing the map of isoseismals of important earthquakes with the isoseismals generated by the attenuation curves derived for each one of the three different soil classes, taking into consideration the soil class of each site. The main results of attenuation modeling are: high dispersion on macroseismic intensity data; all the models predict intensity values, for short hypocentral distances, lower than the ones observed; and for some important analyzed earthquakes and for the observed range of distances, the models confirm the expectancy that macroseismic intensity increases from hard to soft soil.The approach to obtain the hazard assessment at each location consisted in the use of the attenuation law specifically derived for the class of soil of that particular location. This method, which considers the influence of the regional geology, was illustrated with the mapping of hazard for the country for several return periods. Comparison with previous maps not taking into consideration the regional geological conditions emphasizes the importance of this new parameter. It can be concluded that (i) soil segmentation is clearly the cause for hazard increase in the region to the north of Lisbon, especially at sites with soft and intermediate soils as the ones in lower Tagus valley; the maximum increase on hazard is, in any case, less than one degree; (ii) when geological conditions are disregarded in the attenuation regression analysis, hazard pattern is similar to the one obtained for the case of hard soil everywhere.