鄂尔多斯盆地纳岭沟地区含铀目的层岩石矿物学特征及其对成岩作用、物源等方面的指示

纳岭沟铀矿床位于鄂尔多斯盆地东北部伊陕单斜构造区,其成矿主岩为中侏罗统直罗组下段下亚段.通过野外地质调查、岩芯编录,结合岩矿鉴定、X-衍射、电子探针及扫描电镜等方法,详细研究了该区目的层砂岩碎屑组分、结构及矿物蚀变特征,并初步探讨了其物源及源区构造背景、砂岩绿色成因、成岩作用等特征.结果表明纳岭沟地区含铀砂岩类型以长石岩屑砂岩为主,其成分及结构成熟度均较低,成岩作用较弱,表现为弱压实作用、胶结作用、溶蚀作用以及部分重结晶作用.大量在粒表呈薄膜状及粒间充填的绿泥石等粘土矿物是砂岩呈绿色调的主因.物源可能来自于盆地北缘阴山造山带的太古宙—元古宙变质岩系以及显生宙岩浆岩.其蚀变矿物组合及期次为草莓状黄铁矿—自生高岭石—绿泥石薄膜+粒间绿泥石—铀石+细分散/脉状黄铁矿—亮晶方解石—方解石脉,其成岩环境经历了弱酸性—酸性还原—弱酸弱碱/氧化还原过渡阶段—碱性还原阶段,而砂岩型铀矿的形成与氧化还原—酸碱性过渡成岩环境变化密切相关.     

岩浆流体对冲绳海槽海底成矿热水系统的可能贡献

海底火山活动区成矿热液流体来源长期存在争议,尽管海水来源说更为流行,但本文提供的下列证据表明,来自长曲质岩浆的流体对冲绳海槽现代活动热水成矿系统有较大贡献：（１）冲绳海槽ＪＡＤＥ热水区出现异常高热流,其下方１￣２ｋｍ处存在浅位长英质岩浆房;（２）ＣＯ２、烃类、Ｈ２等气体在热水成矿体系中极度富集甚至形成独立气流,与热水流体共存。气体的碳、氦同位素资料表明其来自长英质岩浆本系;（３）ＪＡＤＥ成矿热水系     

我国砷中毒病区的环境特征研究

我国饮水型砷中毒的流行屡见报道,台湾嘉南,新疆奎屯,内蒙古河套及山西大同等地是我国几个有代表性的病区。病区多为河湖相和滨海相沉积,粘土,粘土质淤泥和有机淤泥层发育,为富含有要质的还原环境,地下水中的含量一般为０．２－０．６ｍｇ／Ｌ。有时还有氟,腐殖酸,甲基胂酸和某些烷烃类等的有害有机化合物。     

基于集体记忆的红色旅游地地方性建构

红色历史的集体记忆嵌入动态的地方建构和空间生产过程,成为地方性重构的有力素材。文章以云南省宾川县新庄红军村为例,通过参与式观察和访谈文本分析等质性方法,从地方性景观与话语的再建构,以及地方性情境创设的空间实践,探讨新庄村的地方性建构机制。研究发现：具体的地方要素在地方-记忆的互动关系中起中介承启作用。地方要素既促进红色旅游情境下记忆的唤起、存储与再创造,又对集体记忆重新建构的地方特质、意义与场所精神进行地方性元素表达。旅游情境创设与地方性展演使集体记忆不断得到投影、表达与重构,推动差异化的地方叙述与体验。     

大连市大气污染物质量浓度与气溶胶光学厚度的相关性分析

分别对2015年6~12月和2016年6~12月大连地区的大气污染物PM2.5、PM10、SO₂、NO₂、CO和O₃的浓度数据进行数据统计分析,基于ENVI软件平台利用MODIS数据反演大连地区的气溶胶光学厚度,通过回归建模研究气溶胶光学厚度与大连地区10个地面监测站点的大气污染物PM2.5、PM10、SO₂、NO₂、CO和O₃的浓度数据的相关性。回归建模以气溶胶光学厚度（AOD）为自变量,以大气污染物PM2.5、PM10、SO₂、NO₂、CO和O₃为因变量,在SPSS软件中分别选取线性、对数、三次、乘幂、指数5种函数类型进行研究,通过对比回归模型的拟合优度R²,选择最优拟合模型,探讨利用遥感数据反演气溶胶光学厚度监测大气污染的相关性。结果表明：气溶胶光学厚度与NO₂、PM2.5和PM10的最优拟合模型均为三次模型,其拟合优度R²分别是0.685、0.801和0.845;与O₃和SO₂的最优拟合模型为指数模型,其R²为0.367和0.482;与CO的最优拟合模型为对数模型,其拟合优度R²为0.810。该结果为分析大气气溶胶污染来源以及治理提供了数据。     

内陆水体好氧甲烷氧化过程研究进展

内陆水体是全球碳循环的关键组成部分,是大气中甲烷(CH4)的重要来源,每年从内陆淡水与自然湿地排放进入大气的CH4约为185～357 Tg/a.通常,内陆水体中CH4主要由分布于水层底部的厌氧区或沉积层内的产甲烷菌介导产生,其向水层表面传输的过程中易被甲烷氧化菌所氧化.甲烷氧化菌可分为好氧甲烷氧化菌和厌氧甲烷氧化菌,有...     

万象盆地不同成钾区的水不溶矿物对比及其指示意义

老挝万象盆地属于沙空那空盆地的次级盆地,沉积了厚层的钾石盐矿,而钾石盐中还存在着部分水不溶物,通过研究不同成钾区域的钻孔发现:水不溶物主要包括硬石膏、方硼石、白云母、石英、水氯硼钙石、碳酸盐矿物以及零散的黄铁矿,通过水不溶矿物在钻孔中的分布及组合特征发现,钾盐从析出到结束,水不溶物出现规律性特征:钾石盐含量越多方硼石含量也越多,而硬石膏且越少,并在钾石盐高峰期出现鲕粒方硼石,鲕粒方硼石分布表明成钾晚期沉积环境为动荡的浅水环境。水不溶矿物组合、形貌特征及硼同位素分析研究显示,在万象盆地成钾阶段,钾盐沉积不是一成不变的而是具有明显的阶段性,其过程可以分为石盐沉积晚期,钾盐沉积早期,钾盐沉积中期和钾盐沉积晚期等4个不同阶段,其中钾盐阶段中期为钾盐沉积高峰期。因此,水不溶物研究能够很好地反演钾盐沉积环境,可作为古蒸发岩沉积研究的重要指标。     

A hybrid ensemble method for improved prediction of slope stability

Accurate prediction of slope stability is a significant issue in geomechanics with many artificial intelligence (AI) techniques being utilised. However, the application of AI has not reached its full potential because of the lack of more robust algorithms. In this paper, we proposed a hybrid ensemble method for the improved prediction of slope stability using classifier ensembles and genetic algorithm. Gaussian process classification, quadratic discriminant analysis, support vector machine, artificial neural networks, adaptive boosted decision trees, and k‐nearest neighbours were chosen to be individual AI techniques, and the weighted majority voting was used as the combination method. Validation method was chosen to be the 10‐fold cross‐validation, and performance measures were selected to be the accuracy, the receiver operating characteristic curve, and the area under the receiver operating characteristic curve (AUC). Grid search and genetic algorithm were used for the hyperparameter tuning and weight tuning respectively. The results show that the proposed hybrid ensemble method has great potential in improving the prediction of slope stability. Compared with individual classifiers, the optimum ensemble classifier achieved the highest AUC value (0.943) and the highest accuracy (0.902) on the testing set, denoting that the predictive performance has been improved. The optimum ensemble classifier with the Youden's cut‐off was recommended for slope stability prediction with respect to the AUC value, the accuracy, the true positive rate, and the true negative rate. This research indicates that the use of the classifier ensembles, rather than the search for the ideal individual classifiers, might help for the slope stability prediction.     

The effect of density-driven flow on the transport of high-concentration solutes in the hyporheic zone

In this study, both laboratory experiments and numerical simulations were conducted to investigate the effect of density-driven flow on the transport of high-concentration pollutants in the hyporheic zone. The results show that the density gradient can change the flow of pore water and the strong density-driven flow can lead to an unstable flow, which increases the effect of preferential flow and thus causes the appearance of solute fingers in the hyporheic zone. Notably, these solute fingers become more obvious with the increase of depth. The appearance of solute fingers depends on the relative strength of the pumping exchange and density gradient, which are represented by the dimensionless number M* and N* respectively. Finger flows appear near the interface when M^* is less than 0.5 N^*. This study may contribute to better understanding the transport and destination of solutes and thus may provide some insights into the assessment on pollution incidents.     

简单随机模式进一步分析(Ⅰ)——非线性外通函数项处理

本文利用等效线性化法和Fokker-planck方程,对一个简单的非线性随机模式非线性项在不同气候时期的参数化进行了讨论,得到了冰期、间冰期和现代气候的概率分布密度及输出响应特征。