分形-判别非线性数学模型及勘探线剖面致矿地质异常分析

判别分析模型是多变量线性统计模型,但自然界更多现象是非线性的。通过将非线性科学中分形几何学与传统的判别分析模型相结合导出分形－判别非线性数学模型,并应用于某铜金矿床勘探线剖面的致矿地质异常分析中,与传统的判别分析方法相比,明显地提高了判对率。     

黑龙江东部早白垩世生物地层学研究的主要进展

巴列姆期的菊石、巴列姆期—阿尔必期的海相双壳类、早白垩世的沟鞭藻、放射虫和有孔虫等的发现 ,均证实了黑龙江东部含煤地层龙爪沟群、鸡西群和大架山组的时代为早白垩世中、晚期。鸡西群中含有热河或威替姆动物化石群中常见的双壳类化石 ,这一事实似乎暗示着中国热河或俄罗斯威替姆动物化石群为早白垩世时代。早白垩世 ,特别是巴列姆期—阿尔必期 ,沿大架山—云山—虎林-裴德—鸡西一线北东东方向存在着一条向东 (古太平洋 )开口 ,但由东向西变浅的狭长海湾。多次海侵和海泛沿着这一海湾由东向西至鸡西后向南和向北 ,并可能向西扩散。正是这一海湾和海平面的升降控制着东北地区的早白垩世的气候、地理、生物群落的演变、甚至煤的聚集和油的形成     

721矿山南铀矿石微生物槽浸的适应性实验研究

以山南铀矿石为研究对象，探讨了微生物槽浸铀实验过程中有关参数（Fe^3 ,Fe^2 ,pH,Eh,U)的变化规律。在此基础上，评价了山南铀矿石微生物槽浸的适应性。     

节水灌溉与农业面源污染控制研究--以新疆焉耆盆地为例

针对我国北方农业面源污染面积大、分布广、控制难的问题，通过分析新疆焉耆盆地水资源利用现状、潜水位动态、农田排水特征，认为大水漫灌不仅浪费水资源，造成肥料流失，降低产量，而且污染水体，导致土壤次生盐渍化；提出了推广节水灌溉、合理开发利用水资源、控制农业面源污染、综合治理环境的有效途径。     

Influence of underground space development mode on the groundwater flow field in Xiong’an new area

The degree and scale of underground space development are growing with the continuous advancement of urbanization in China. The lack of research on the change of the groundwater flow field before and after the development of underground space has led to various problems in the process of underground space development and operation. This paper took the key development zone of the Xiong’an New Area as the study area, and used the Groundwater modeling system software (GMS) to analyse the influence on the groundwater flow field under the point, line, and surface development modes. The main results showed that the underground space development would lead to the expansion and deepening of the cone of depression in the aquifer. The groundwater level on the upstream face of the underground structure would rise, while the water level on the downstream face would drop. The “line” concurrent development has the least impact on the groundwater flow field, and the maximum rise of water level on the upstream side of the underground structure is expected to be approximately 3.05 m. The “surface” development has the greatest impact on the groundwater flow field, and the maximum rise of water level is expected to be 7.17 m.     

会理县小青山铜金矿区硅质钠长石岩研究

岩石空间产出特征、岩相学、岩石化学、稀土元素地球化学特征及成岩成矿作用特征等分析研究表明,硅质钠长石岩是经沉积变质、硅质钠质交代作用形成的,原岩组成多样,主要为碳质板岩,其次为条带状泥砂质白云岩,局部也可以是辉绿辉长岩。     

某城地下水地表水联合优化调度管理模型实例

本文阐述了利用响应矩阵法建立地下水、地表水优化调度管理模型的约束条件、并用目标规划法进行管理模型计算的一个实例。这是一个位于黄河之滨的城市,市内有许多名泉。近年来大量开采地下水已使泉水干涸,而黄河水在某些月份含沙量很大,不宜全年开采。本计算求得了这个城市几个水源地与黄河水在一个枯水年(或丰水年)内各月份的优化开采量分配方案,使之既可保证泉水全年喷涌;叉可提供所需水量。     

莫来石陶瓷在电学和光学中的应用研究

莫来石在电子,光学和高温结构中的应用已广泛以受到关注。本文介绍了以电子基板材料和红外辐射材料为应用背景下,有关莫来石基陶瓷的组成与性能间的关联研究,显示了新型莫来石材料在这些应用领域的潜在优良和良好的应用前景。     

Application of PSO-LIBSVM in Recognition of Potassium Salt Deposits

The shortage of potassium salt seriously restricts the development of China's agriculture. Increasing the exploration and development of potash will help improve the self-sufficiency of potassium in China. With rich potassium salt resources, Sichuan basin is one of the most important research areas for potash exploration and development in China. Polyhalite is an important solid potassium salt mineral in Sichuan basin, often intercalated in rock minerals such as anhydrite, rock salt and dolomite. Aiming at the problem that conventional log interpretation methods are difficult to accurately identify polyhalites, this paper proposed a new Support Vector Machine (SVM) recognition method based on Particle Swarm Optimization (PSO) to classify polyhalites in Sichuan basin. Based on particle swarm optimization and support vector machine theory, combined with logging interpretation theory, the effective data sensitive to polyhalite logging response were selected as input samples to generate training sets and test sets randomly. The Radial Basis Function (RBF) parameters were optimized by particle swarm optimization, and the classification and prediction model of polyhalite was established. Compared with mud logging results, the recognition accuracy of SVM model based on particle swarm optimization reached 97.5758%, which is obviously better than that of SVM model optimized by cross validation method in recognition accuracy and speed. The results show that the model has broad application prospects in potash exploration in Sichuan basin.