Spatial character of the gaseous and particulate state compound correlation of urban atmospheric pollution in winter and summer

The spatial/temporal variation information of atmospheric dynamic-chemical processes at observation site points of the "canopy" boundary of Beijing urban building ensemble and over urban area "surface", as well as the seasonal correlation structure of the gaseous and particulate states of urban atmospheric pollution (UAP) and its seasonal conversion feature at observation points are investigated, using the comprehensive observation data of the Beijing City Air Pollution Observation Experiment (BECAPEX) in winter and summer 2003 with a "point-surface" combined research approach. By using "one dimension spatial empirical orthogonal function (EOF)" principal component analysis (PCA) mode, the seasonal change of gaseous and particulate states of atmospheric aerosols and the association feature of pollutant species under the background of the complicated structure of urban boundary layer (UBL) are analyzed. The comprehensive analyses of the principal components of particle concentrations,gaseous pollutant species, and meteorological conditions reveal the seasonal changes of the complex constituent and structure features of the gaseous and particulate states of UAP to further trace the impact feature of urban aerosol pollution surface sources and the seasonal difference of the component structure of UAP. Research results suggest that in the temporal evolution of the gaseous and particulate states of winter/summer UAP, NOx, CO, and SO2 showed an "in-phase" evolution feature, however, O3 showed an "inverse-phase" relation with other species,all possessing distinctive dependent feature. On the whole, summer concentrations of gaseous pollutants CO, SO2, and NOx were obviously lower than winter ones, especially, the reduction in CO concentration was most distinctive, and ones in SO2 and NOx were next. However, the summer O3 concentration was more than twice winter one. Winter/summer differences in PM10and PM2.5 particle concentrations were relatively not obvious, which indicates that responses of PM10 and PM2.5 particle concentrations to the difference of winter/summer heating period emission sources are far less distinctive than those of NOx, SO2, and CO. The correlation feature of winter/summer gaseous and particulate states depicts that both PM10 and PM2.5 particles were significantly correlated with NOx, and their correlations with NOx are more significant than those with other pollutants. Through PCA, it is found that there was a distinctive difference in the principal component combination structure of winter/summer PM10 and PM2.5 particles: SO2 and NOx dominated in the principal component of winter PM10 and PM2.5 particles; while CO and NOx played the major role in the principal component of summer PM10 and PM2.5 particles. For winter/summer PM10 and PM2.5 particles, there might exist the gaseous and particulate states correlation structures of different "combinations" of such dependent pollutant species. Research results also uncover that the interaction processes of gaseous and particulate states were also related with the vertical structure of UBL, that is to say, the low value layer of UBL O3 concentration was associated with the collocation of atmospheric vertical structures of the low level inversion,inverse humidity, and small wind, which depicts summer boundary layer atmospheric character, i.e.the compound impact of the dependent factor "combination" of wind, temperature, and humidity elements and their collocation structure on the variations of different gaseous pollutant concentrations. Such a depth structure of the extremely low value of O3 concentration in the UBL accords with its "inverse-phase" relation with other gaseous pollutant species. The PCA of meteorological factors associated with PM10 and PM2.5 concentrations also reveals the sensitivity of PM10 and PM2.5 concentration to the combinatory feature of local meteorological conditions.     

青藏高原北部温泉活动沉积盆地的沉积特征及其地质意义

晚新生代温泉沉积盆地,是青藏高原腹地在南北向挤压、东西向伸展的构造背景下,沿南北向边界走滑断层,经边界正断层和内部张剪断层的进一步发展而形成的近南北向单断单剪楔形半地堑活动沉积盆地。它可能代表了晚新生代青藏高原第三期强烈挤压隆升事件,是侧向向东剪切挤出的结果。笔者以盆地充填序列和TL、ESR测年资料为主要依据,推测唐古拉山在30 0～2 5 0ka前后全面进入冰冻圈;而以温泉活动沉积盆地为代表的中更新世晚期(2 2 4 .0～1 5 0 .2ka)的冰碛 冰水堆积则对应于青藏高原第三期隆升的断陷盆地发育阶段;中更新世晚期—晚更新世中期(1 4 4 .0～5 6ka)为湖相沉积;晚更新世中期至今(35～0ka)对应于高原缓慢隆升与夷平发育阶段。长江溯源在35ka切割通天河盆地,形成通天河;而在1 6ka侵蚀切穿雁石坪 温泉兵站峡谷,形成布曲河。     

青藏高原腹地植物碳同位素组成对环境条件的响应

现代植物碳同位素组成是特定环境影响的结果,通过对植物碳同位素组成的研究可以揭示植物生长期环境信息。针对青藏高原腹地高寒草甸~高寒草原过渡区植被碳同位素组成进行研究;该区高山嵩草样δ13C值在-25.63‰~-27.95‰间,平均值-26.63‰;高寒草原区混合样δ13C值于-26.29‰~-27.73‰间,平均值-27.04‰。高山嵩草样δ13C值总体呈现由南东往北西方向正偏趋势,研究区北部高寒草原区混合植物样也呈现出由南向北富重碳同位素趋势。这些变化规律被认为是主要受降水环境影响的结果,而区域内降水条件的展布规律则是受高原夏季风运移方式的控制。对植物δ13C值与地理位置的回归分析表明,该区植被碳同位素组成与地理位置相关,高山嵩草样(r=0.44603,n=29,p<0.05)和混合样(r=0.8112,n=5,p<0.1)均表现出对区域降水环境条件的良好响应。据此,以该区植物δ13C值为背景,进行合理推算,拟定了研究区内干旱区和湿润区界限的位置。     

Sedimentary evidence and luminescence and ESR dating of Early Pleistocene high lake levels of Megalake Tengger,northwestern China

The timing of high lake-level stands during the Late Pleistocene in western China remains controversial. Here we report new results from Megalake Tengger based on a study of palaeo-shorelines and a drill core from Baijian Lake in the northwestern Tengger Desert. Multiple dating methods, based on luminescence signals (quartz optically stimulated luminescence, K-feldspar post infrared-infrared stimulated luminescence) and electron spin resonance signals of quartz, were used to date beach sands from palaeo-shoreline profiles at altitudes of ~1310 m (+20 m above lake level), ~1320 m (+30 m) and ~1350 m (+60 m), and from the top 20 m of sandy sediments from the drill core obtained from the modern beach of Baijian Lake. The dating results show that high lake-level stands associated with the previously reported Megalake Tengger (~1310–1320 m) occurred during the late Early to Middle Pleistocene, which is much earlier than previously reported. In addition, no geomorphological evidence of shorelines and sedimentary evidence from the drill core profile were found to support the previously reported Late Pleistocene lake levels. Our results indicate that the exact age of the previously reported ‘high lake level event’ in a large part of northwestern China during the Late Pleistocene needs to be re-evaluated.     

A Case Study on the Occurrence and Mobility of the Shale Oil from the Muli Coalfield, Qilian Mountain

正Objective Shale oil occurs in free state(including condensate state),adsorption state(adsorbed on kerogen and mineral particles)and dissolved state(dissolved in natural gas,residual water,etc.)in shales and adjacent layers.The characterization of the occurrence of different hydrocarbons in shale oil,especially the quantitative     

电感耦合等离子体质谱法(ICP-MS)测定水系沉积物中的铌钽锆铪

建立电感耦合等离子体质谱法(ICP-MS)测定水系沉积物中铌、钽、锆、铪四种元素的分析方法。将样品与氢氧化钠、过氧化钠混合物放入高温炉中,熔融分解完全,用热水提取,过滤后弃去滤液,将滤纸及沉淀用酒石酸-盐酸溶液溶解,稀释至刻度测定。方法检出限(3s)为:LD(Nb)=0.08μg/g,LD(Ta)=0.04μg/g,LD(Zr)=0.5μg/g,LD(Hf)=0.04μg/g,精密度(RSD%,n=6)为:0.84%~4.21%。该测定方法具有灵敏度高、精密度好、分析速度快、线性范围宽、操作性强等优势。采用该方法对国家一级标准物质进行测定表明,其结果与标准值吻合。此方法已在实际地质调查样品分析中得到应用。     

山东海阳姜家白垩纪水南组化石的发现及保护

姜家位于山东省烟台海阳市北部。在进行烟台地区古生物化石调查的过程中,发现了姜家这一白垩纪水南组良好的露头剖面,在其页岩中赋存丰富的动植物化石,计有玉门延吉叶肢介、长壳延吉叶肢介、中华狼鳍鱼、松柏纲和银杏纲植物化石及昆虫化石。根据前人化石保护评价方法,结合化石的赋存层位、赋存条件、化石类型及保护现状,计算了海阳姜家质量综合指数,认为其属于重点保护区级别;最后根据当地自然情况及工程影响,圈定了保护区范围,并制定了相应的保护措施。     

渝东北地区五峰组—龙马溪组页岩气地质特征及其勘探方向探讨

渝东北地区五峰组—龙马溪组暗色泥页岩沉积厚度介于30.92~164.47m之间,其中在朝阳镇咸池剖面及田坝一带厚度最大,往研究区东西两侧具有减薄的趋势。全区总有机碳含量平均3.32%,中部(平均3.93%)和西部(平均3.59%)相对东部(平均2.77%)具有更高的有机质丰度。有机质以I型腐泥型为主,西部个别剖面及东部栗子坪一带夹少量Ⅱ_1—Ⅱ_2型干酪根,其成熟度普遍处于高成熟—过成熟阶段,呈现自北向南升高的趋势。石英、脆性矿物含量普遍较高(尤其是中西部区块),黏土矿物较低,更易产生储气裂缝及利于后期压裂。储层特征方面,中部地区泥页岩具有更高的孔隙度和较低的渗透率,同时比表面积也相对更高,以有机质孔隙为主。中部区块田坝—朝阳—文峰一带含气性最好,结合页岩厚度、总有机碳含量分布、储层条件及构造保存条件分析,本区中部区块田坝—朝阳—文峰一带具有更好的页岩气勘探前景,是该区下一步勘探的重点区域。     

基于CART算法的三维成矿预测研究——以安徽白象山矿区为例

把地质大数据和人工智能技术引入矿产资源定量评价及成矿预测体系中,提高了海量地质数据的有效信息挖掘,弥补了传统方法的不足。本文基于白象山矿区基础地质资料和物化探成果资料,利用三维地质体建模技术和三维空间分析技术,量化三维控矿因素,建立了一种基于CART 算法的三维成矿预测模型。通过在白象山矿区的实验表明：该模型能较好的定位已知矿体,并且预测出在已知矿体北部、东部、东北部、西部、南部和东南部具有较高的成矿概率,可圈定找矿靶区。该模型将地质大数据应用于找矿勘探工作,具有纯数据驱动、预测精度高、预测结果可靠等优点。研究发现,该模型的预测效果与训练数据集的数量、矿控因素提取、决策树深度等有关。     

基于多源数据约束的成矿动力学模拟——以宁芜盆地钟姑矿田典型矿床为例

数据驱动是大数据分析的特点之一。成矿过程的数值模拟即采用数据驱动方式,在基本的物理化学方程及地质模型基础上,通过定量的手段,模拟不同阶段、不同条件下成矿系统的演化过程,从而能够更深入、直观的讨论各种地质要素对成矿系统的影响,验证已有的成矿理论,获得新的认识。姑山铁矿床和杨庄铁矿床是宁芜火山岩盆地钟姑矿田内的典型矿床。前人研究显示,杨庄铁矿床为典型的充填-接触交代型热液矿床,而姑山铁矿床目前在成因上仍存在争议,存在岩浆成因和热液成因等多种观点。为了更好的对比和了解姑山铁矿床和杨庄铁矿床的成因及成矿过程,本文基于多源数据的综合解译剖面,采用力-热耦合数值模拟方法对与热液矿床密切相关的扩容空间的形成机制和特点开展研究。模拟结果显示,姑山铁矿床和杨庄铁矿床可能分属不同的成因类型;随着岩体的逐渐冷却,杨庄铁矿床内岩体和地层接触带会出现明显的扩容空间,可为成矿流体的汇聚及矿质的沉淀提供良好的条件,有利于热液矿床的形成;而姑山铁矿床内岩体和地层接触带只有局部区域出现扩容空间,同时体应变数值较小且形态变化大,并不利于大规模的流体汇聚及矿质的沉淀,姑山铁矿床可能主要为岩浆成因,并受少量热液的叠加改造。