浅钻岩石地球化学测量在皖东江山金矿的应用及找矿预测

江山金矿是皖东浅覆盖区内的典型隐伏矿床,常规化探采集的表层土壤样品异常不明显.利用浅钻在江山金矿区内采集了运积物覆盖层之下的岩石样品.江山金矿岩石地球化学异常明显,根据江山金矿的地球化学特征总结了异常模式.在研究区内共圈定了5处异常区.其中III号组合异常为江山金矿的矿致异常.江山金矿外围的组合异常具有寻找Au、Pb多金属矿的良好前景.可在II号组合异常内开展进一步的矿产勘查工作,争取找矿突破.     

基于KronosFlow软件对逆冲推覆带构造-热演化的初探

盆地模拟是含油气盆地勘探评价的重要技术方法之一,然而传统的盆地建模2D模拟技术仅适用于拉张型盆地,使得挤压型盆地横向上的热史重建一直是个难题,从而制约了进一步的油气勘探。目前由法国Beicip-Franlab公司设计的KronosFlow软件突破了传统盆模软件对逆冲推覆带、盐构造和泥底辟等复杂构造的局限性,精确控制了横向和垂向上的构造位移,通过跟踪单个网格连续运动形态、恢复侧向变形量以及与TemisFlow软件无缝衔接,实现了对挤压型盆地埋藏史、热史、生排烃史以及油气运聚史的恢复。以塔里木盆地北缘柯坪逆冲推覆带和库车逆冲推覆带为例,利用KronosFlow软件定量反演了新生代以来的构造-热演化历史,并以实测数据约束并验证挤压环境下盆地模拟结果的有效性。柯坪逆冲推覆带的依木干他乌断层在40~30 Ma再次活动,断层附近志留系—泥盆系的温度大于85 ℃,柯坪塔格断层在15~10 Ma活动,断层附近志留系—泥盆系的温度小于70 ℃,寒武系（烃源岩成熟度为1.3%~1.7%）和奥陶系（烃源岩成熟度为0.7%~1.2%）烃源岩热演化程度高,生烃能力强。库车逆冲推覆带侏罗系北段温度介于50~70 ℃,南段温度介于210~230 ℃,盐构造造成地温异常,其中秋里塔格构造带膏盐岩最厚,降温效果最明显。      

浙中一次多风暴类型强对流天气成因及多普勒雷达特征

利用常规资料、区域自动站加密资料、探空资料、GFS 0.25°×0.25°逐6h的分析场数据和SB多普勒天气雷达资料对2018年5月18日发生在浙中地区的一次强对流天气过程进行分析。结果表明:此次过程产生了脉冲风暴、中等到强多单体风暴和飑线这3种风暴类型,分别出现冰雹、大范围强降水和雷雨大风等强天气。3种风暴的雷达回波在回波形态、强度、垂直结构、平均径向速度、垂直累积液态水含量VIL等特征如下:①脉冲风暴呈块状,初始回波高度在6～9km,强回波所在高度在-10℃等温线附近,强回波值达60dBz以上,VIL值出现跃升且最大值在50kg·m-2以上,冰雹出现在反射率因子核和VIL值迅速下降之后;②中等到强多单体风暴呈带状,大降水效率和"列车效应"是发生大范围强降水的主要原因,雷雨大风天气则与反射率因子核迅速下降、MARC、低层强辐散区有关;③飑线呈弓形回波形态,移速快,引起了大范围的雷雨大风天气。此次过程影响系统多,天气复杂,存在较大预报难点,在短时临近预报技术研究上有重要借鉴意义。     

A Numerical Investigation on Microphysical Properties of Clouds and Precipitation over the Tibetan Plateau in Summer 2014

In order to improve our understanding of microphysical properties of clouds and precipitation over the Tibetan Plateau (TP), six cloud and precipitation processes with different intensities during the Third Tibetan Plateau Atmospheric Science Experiment (TIPEX-Ⅲ) from 3 July to 25 July 2014 in Naqu region of the TP are investigated by using the high-resolution mesoscale Weather Research and Forecasting (WRF) model. The results show unique properties of summertime clouds and precipitation processes over the TP. The initiation process of clouds is closely associated with strong solar radiative heating in the daytime, and summertime clouds and precipitation show an obvious diurnal variation. Generally, convective clouds would transform into stratiform clouds with an obvious bright band and often produce strong rainfall in midnight. The maximum cloud top can reach more than 15 km above sea level and the velocity of updraft ranges from 10 to 40 m s-1. The simulations show high amount of supercooled water content primarily located between 0 and -20℃ layer in all the six cases. Ice crystals mainly form above the level of -20℃ and even appear above the level of -40℃ within strong convective clouds. Rainwater mostly appears below the melting layer, indicating that its formation mainly depends on the melting process of precipitable ice particles. Snow and graupel particles have the characteristics of high content and deep vertical distribution, showing that the ice phase process is very active in the development of clouds and precipitation. The conversion and formation of hydrometeors and precipitation over the plateau exhibit obvious characteristics. Surface precipitation is mainly formed by the melting of graupel particles. Although the warm cloud microphysical process has less direct contribution to the formation of surface precipitation, it is important for the formation of supercooled raindrops, which are essential for the formation of graupel embryos through heterogeneous freezing process. The growth of graupel particles mainly relies on the riming process with supercooled cloud water and aggregation of snow particles.     

同位素水化学指示的新疆孔雀河流域地下水与地表水关系

地下水是孔雀河流域农业灌溉的主要水源之一,其对本地区经济发展的支撑作用日益增强.为实现孔雀河流域水资源合理开发和生态保护,采用环境同位素和水化学方法,研究了孔雀河流域地下水与地表水关系.结果表明:地下水的主要补给来源为河水.含水层成因类型和现代河道分布共同控制着孔雀河流域地下咸淡水的空间分布格局;氢氧稳定同位素对不同水...     

电性源瞬变电磁法的迭前和迭后数据小波分析

电性源瞬变电磁法用于深部勘探时,观测到的垂直磁场脉冲响应非常微弱,常伴有严重的干扰噪声,从噪声中提取反映深部地层的中、晚期磁场信号非常重要.为此提出将多分辨率小波分析应用于电性源瞬变电磁法数据分析,并对西部某勘探区垂直磁场响应的迭前和迭后教据作多尺度分解后进行分析和比较的结果表明:①小波分析对数据具有良好的时频局部化特性,垂直磁场响应的迭前和迭后记录在不同频段上的分布特征可以清晰地反映出来;②高频干扰主要反映于数据的分解细节,反映深部信息的中、晚期弱信号存在于分解概貌;③迭后记录加入随机噪声与不加入随机噪声的处理结果类似,而迭前记录则不同,迭前记录比迭后记录具有更丰富的信息,并主要表现在早期.在电性源瞬变电磁法深部勘探中,利用更多的迭前记录的小波分解概貌对资料处理的解释工作很有意义.     

南海诸岛海域地名国别地缘环境解析

“人类世”以来,南海海域因周边或域外大国等地缘行为体的介入,使地缘环境变得错综复杂,中国海洋权益不断遭受限制、挤压和挑战。文章从自然和社会基因子系统的地理环境、地缘关系和地缘结构出发,以地名为逻辑起点划分古代-遗传形地名DNA、近代-变异形地名DNA和现代-复合形地名DNA三种类型,构建南海诸岛海域地名国别地缘环境分析框架。结果表明：1）南海诸岛海域地名是在自然基因子系统和社会基因子系统交互耦合作用下形成的。2）因果关联作用下,南海诸岛海域地名遵从“主人―他人―主人”的历史演变规律,导致地名基因在转录和表达上呈现遗传、变异和复合的过程;建构作用下,周边或域外大国以非法手段构建多边争夺南海海洋资源和海洋权益的新型地缘关系。3）南海诸岛海域地名基因在转录与表达上是空间与物质显性基因和理念与历史演变隐性基因的交互耦合过程。     

Evaluation of Inference Adequacy in Cumulative Logistic Regression Models: An Empirical Validation of ISWRidge Relationships

Internal solitary wave propagation over a submarine ridge results in energy dissipation, in which the hydrodynamic interaction between a wave and ridge affects marine environment. This study analyzes the effects of ridge height and potential energy during wave-ridge interaction with a binary and cumulative logistic regression model. In testing the Global Null Hypothesis, all values are p 〈0.001, with three statistical methods, such as Likelihood Ratio, Score, and Wald. While comparing with two kinds of models, tests values obtained by cumulative logistic regression models are better than those by binary logistic regression models. Although this study employed cumulative logistic regression model, three probability functions p^1, p^2 and p^3, are utilized for investigating the weighted influence of factors on wave reflection. Deviance and Pearson tests are applied to cheek the goodness-of-fit of the proposed model. The analytical results demonstrated that both ridge height （X1 ） and potential energy （X2 ） significantly impact （p 〈 0. 0001 ） the amplitude-based refleeted rate; the P-values for the deviance and Pearson are all 〉 0.05 （0.2839, 0.3438, respectively）. That is, the goodness-of-fit between ridge height （ X1 ） and potential energy （X2） can further predict parameters under the scenario of the best parsimonious model. Investigation of 6 predictive powers （ R2, Max-rescaled R^2, Sorners＇ D, Gamma, Tau-a, and c, respectively） indicate that these predictive estimates of the proposed model have better predictive ability than ridge height alone, and are very similar to the interaction of ridge height and potential energy. It can be concluded that the goodness-of-fit and prediction ability of the cumulative logistic regression model are better than that of the binary logistic regression model.     

Evaluation of Inference Adequacy in Cumulative Logistic Regression Models： An Empirical Validation of ISW-Ridge Relationships

Internal solitary wave propagation over a submarine ridge results in energy dissipation, in which the hydrodynamic interaction between a wave and ridge affects marine environment. This study analyzes the effects of ridge height and potential energy during wave-ridge interaction with a binary and cumulative logistic regression model. In testing the Global Null Hypothesis, all values are p<0.001, with three statistical methods, such as Likelihood Ratio, Score, and Wald. While comparing with two kinds of models, tests values obtained by cumulative logistic regression models are better than those by binary logistic regression models. Although this study employed cumulative logistic regression model, three probability functions p^1, p^2 and p^3, are utilized for investigating the weighted influence of factors on wave reflection. Deviance and Pearson tests are applied to check the goodness-of-fit of the proposed model. The analytical results demonstrated that both ridge height (X1) and potential energy (X2) significantly impact (p<0.0001) the amplitude-based reflected rate; the P-values for the deviance and Pearson are all >0.05 (0.2839, 0.3438, respectively). That is, the goodness-of-fit between ridge height (X1) and potential energy (X2) can further predict parameters under the scenario of the best parsimonious model.Investigation of 6 predictive powers (R2, Max-rescaled R2, Somers'D, Gamma, Tau-a, and c, respectively) indicate that these predictive estimates of the proposed model have better predictive ability than ridge height alone, and are very similar to the interaction of ridge height and potential energy. It can be concluded that the goodness-of-fit and prediction ability of the cumulative logistic regression model are better than that of the binary logistic regression model.     

The Evaluation on Biological Properties of Carboxymethylchitosan and Carboxymethyl-chitin

Carboxymethyl-chitosan and carboxymethyl-chitin were prepared with the methods developed in our laboratory. The DS （degree of substitution） and DD （degree of deacetylation） of the carboxymethyl-chitosan were 103.14% and 97.18% respectively, while the DS of the carboxymethyl-chitin was 96.37%. Their effects on human fibroblasts, intradermal irritation test, in vitro and vivo degradability, and biocompatibility were evaluated. The results indicate that the polysaccharides at low concentrations can facilitate the growth of human fibroblasts and the carboxymethyl-chitosan at 100 μg mL^-1 is the most effective. The polysaccharides at higher concentrations, however, inhibit the growth of fibroblasts. The PII （Primary Irritation Index） values of CM-chitosan and CM-chitin are both 0.0, which shows that they have no irritation reaction. Both of the polysaccharides show good degradability and biocompatibility. Carboxymethyl-chitin degrades faster in vitro than carboxymethyl-chitosan. The latter, however, has no inflammatory reaction after being implanted in vivo for 7 d and shows better biocompatibility. This study may provide a scientific basis for the use of earboxymethyl-ehitosan and carboxymethyl-chitin as biomaterials.