Multi-scale Characteristics and Comprehensive Evaluation of Precipitation Heterogeneity in Guangxi

Aiming at the uneven spatial and temporal distribution of precipitation and frequent occurrence of drought and waterlogging disasters in Guangxi, the multi-scale characteristics and comprehensive evaluation of precipitation heterogeneity can provide scientific support for regional response to drought and waterlogging disasters and intelligent management of water resources. Based on the daily precipitation data of 87 grid points from 1961 to 2017 in Guangxi, the Precipitation Concentration Degree (PCD) and Precipitation Concentration Period (PCP) index were used to build day, pentad, ten days, month, season precipitation heterogeneity of multiple time scale level evaluation system. By using R/S analysis and geographical spatial analysis methods, the space-time evolution characteristics and climate division in Guangxi were discussed. The study showed that the spatial and temporal variation characteristics of PCD and PCP at the diurnal, synoptic and monthly scales were relatively consistent, and the heterogeneity of precipitation in Guangxi could be better expressed than that at the monthly and seasonal scales. The diachronic change of PCD in precipitation in Guangxi shows an increasing trend in northeast China and a decreasing trend in southwest China, and the trend of its future period is the same as the diachronic evolution. The spatial distribution of PCD in Guangxi has significant spatial autocorrelation and stratification heterogeneity, which are mainly reflected in the mean value, coefficient of variation and frequency of PCD. The comprehensive heterogeneity of precipitation in Guangxi is highly dispersed in the northeast, highly concentrated in the south, and slightly concentrated or dispersed in the northwest and central regions. The time-scale within a month is the best scale to express the non-uniformity of precipitation in Guangxi. If the advantages of more stable climatic and ten-day scales and more fine daily scales are taken into account, the use of climatic scale for daily sliding calculation and analysis will be the best way.     

The influence of hydrocarbon expulsion on carbon isotopic compositions of individual n-alkanes in pyrolysates of selected terrestrial kerogens

Expulsion of petroleum from source rock is a complex part of the entire migration process. There exist fractional effects on chemical compositions in hydrocarbon expulsion. Does the carbon isotopic fractionation occur during expulsion and to what extent? Here the influence of hydrocarbon expulsion on carbon isotopic compositions of individual n-alkanes from pyrolysates of selected terrestrial kerogens from Tuha basin and Fushun, Liaoning Province of China has been experimentally studied. The pyrogeneration-expulsion experiments were carried out under semi-closed system. The carbon isotopic compositions of individual n-alkanes were measured by GC-IRMS. The main conclusions are as follows. First, there is carbon isotopic fractionation associated with hydrocarbon expulsion from Type III kerogens in Tuha Basin. There exist differences of carbon isotopic compositions between the unexpelled n-alkanes and expelled n-alkanes from Tuha desmocollinite and Tuha mudstone. Second, there is almost no carbon isotopic fractionation associated with hydrocarbon expulsion from Type II kerogens in Fushun and Liaohe Basin. Third, carbon isotopic fractionation in hydrocarbon expulsion should be considered in making oil-source correlation of Type III kerogens at least in the Tuha Basin. Further studies need to be carried out to determine whether this is true in other basins. Fourth, oil and source at different maturity levels cannot be correlated directly for Type III kerogens since the carbon isotopic compositions of expelled hydrocarbons at different temperatures are different. The expelled hydrocarbons are usually lighter (depleted in ¹³C) than the hydrocarbons remaining in the source rock at the same maturity.     

三维成矿预测多源地学空间数据库建设——以宁芜盆地钟姑矿田为例

大数据是海量、高增长率和多样化的信息资产,是未来找矿靶区预测的不可或缺的技术。大数据-三维成矿预测研究面临机遇与挑战,其涉及的地学大数据除了数据来源众多、比例尺不同、数据量大、非结构化管理、时效性强、空间数据与非空间数据协同管理等复杂特点外,还必须具有适应进行三维建模及空间分析的数据结构。本文分析了地学空间大数据的特点,对多源地学综合信息的管理需求进行研究,参考国家及行业标准,建立了可满足三维成矿预测需求的多源地学空间数据库模型,并依据实际划分为勘查控制钻孔地质数据库、空间属性数据库和地球物理数据库,各数据库可在多源地学空间索引库的支持下协同工作。本文以大数据应用的典型实例--钟姑矿田作为研究对象,系统收集了矿田内勘查成果资料,建立了钟姑矿田多源地学空间数据库,并在此基础上进行了控矿要素的有效提取,可进一步支持三维成矿预测。研究结果表明,本文提出的多源地学空间数据库可有效管理地学空间大数据,是大数据-三维成矿预测的重要解决方案,是进行三维成矿预测的重要数据支持。     

Spatial characters of nutrients in Wujiangdu Reservoir in karst river,SW China

A preliminary assessment of the Wujiangdu Reservoir examined nutrient distribution and transport. Water samples were collected in the summer (July) of 2004, during the high-flow season. Inorganic nutrients (N, P, Si) and chlorophyll a (chl a) concentrations of the Wujiangdu Reservoir and its inflow rivers were analyzed. Other water parameters (dissolved oxygen, pH, temperature, and electrical conductivity) were measured as well. The results show gradually decreasing concentrations of NO₃ ^?-N and dissolved silicate in the surface water moving downstream to the dam of the Wujiangdu Reservoir. Additionally, soluble reactive phosphorus concentrations measured very low, with most falling below the sensitivity threshold of the method used in surface waters. Particulate phosphorus and NO₃ ^?-N were the predominant species of phosphorus and nitrogen in the reservoir, respectively. The concentration of nutrients in the Yeji River was the largest of all inflow rivers. The maximum concentration of chl a was found near the dam. These results reflect upstream conditions similar to that of a river, and reservoir conditions near the dam similar to that of a natural lake system.     

造山带环境中的东疆型镁铁—超镁铁杂岩

新疆东部黄山－镜儿泉一带产有大－中型铜镍矿床的镁铁－超镁铁岩体是中石炭统弧后盆地引张环境下的热侵位产物,主要岩石类型有橄榄岩、辉橄岩、橄辉岩、二辉岩、辉长苏长岩、苏长辉长岩、辉长岩、橄长岩、辉长岩和闪长岩等;其超镁铁岩相对富铁．不具变质组构,并具橄榄石＋斜方辉石＋单斜辉石＋角闪石±斜长石矿物组合;岩石化学以富硅、贫碱、贫铝、贫钙为特征,并具拉斑玄武岩系演化趋势。这些岩体是造山带杂岩体的一种新类型,可称为东疆型。     

30ka以来南海东北部陆坡坡底沉积有机质的长链正构烷烃特征及其古植被意义

为探寻南海深海平原区的有机质组成特征、来源及其所反映的古气候/环境演化信息, 对南海东北部深水区的ZSQD289沉积柱状样品进行了正构烷烃组成及其单体稳定碳同位素的相关分析, 结合孢粉鉴定结果, 重点探讨该沉积区末次冰期以来陆源输入变化、源区的古植被演化及其气候响应因素。结果表明:30ka以来, 南海东北部深海陆坡坡底的沉积有机质以洋/陆混源为特征, 且以海洋自生生产力贡献为主, 其生源贡献存在明显的冰期/间冰期旋回变化特征, 冰期时陆源有机质输入明显高于全新世间冰期; 其陆源有机质应该主要由台湾南部河流输入, 在低海平面时通过海底峡谷搬运至此, 其过程中可能受到西太平洋底流和黑潮的影响。该沉积源区植被演化经历了C3/C4植物互为消长的变化过程, 但30ka以来主要还是以C3植物占优势, 由此推测末次冰期以来源区(台湾岛南部)不存在明显的干旱化, 冰期虽然温度较低但气候比较湿润。     

翡翠的成因及宝石学意义刍论

从地质学角度出发,对翡翠的成因作了初步研究。以此研究结果为基础,探讨了翡翠的矿床类型,翡翠矿床的找矿方向及翡翠“B”货的科学鉴定。     

新疆北部主要金矿床的成矿地球化学特征

主要依据成矿作用方式,基本成矿特点及关键控矿标志等,将新疆北部的主要原生金矿新划分为７个矿床类型,分别是浅成低温热液型金矿、韧性剪切带蚀变岩型金矿、微细粒浸染型金矿、浅成岩－构造蚀变岩型金矿、变质热液型金矿、石英脉型金矿及铜、金伴生型矿床。通过分析比较各矿床类型典型金矿的ＲＥＥ分布型式、其矿石的微量元素含量与分布型式、硫与铅同位素组成及流体包裹体成分等资料,探讨了其成矿地球化学特征。     

四川盆地水热型地热资源构造成因模式

地处青藏高原东缘的四川盆地是一个群山环绕的叠合型沉积盆地,蕴含着丰富的地热资源。四川盆地具有突变型和渐变型两类盆山结构,二者的构造样式存在明显差异,对盆地及周缘的水热型地热资源分布具有明显的控制作用。通过解析盆地及周缘地质构造,明确了盆地不同构造单元的构造样式;详细对比分析已有的地热勘查案例的异同性,提出了褶皱型、单斜型和褶皱—断裂复合型等3大类水热型地热资源的构造成因模式;认为四川盆地形成与演化过程中,构造运动与水热型地热资源的形成密切相关,主要表现在：1）频繁不均匀升降运动导致构造—沉积格局分异,控制着地热储盖层岩性、组合及区域展布;2）构造抬升形成的不整合面和古岩溶作用极大改善了地热储层的孔渗物性和流体输导能力,形成了优质的碳酸盐岩孔洞型热储;3）断裂可能是地下热水的补给通道和输导系统,亦或是阻隔屏障,取决于断裂类型和断层两盘岩性配置关系;4）地下热水易于沿具走滑分量断层和张性断层进行补给和输导。

     

An equal area conversion model for rasterization of vector polygons

Vector-raster conversion is one of the classic research topics in the field of Geographical Information Systems (GIS). The algorithms commonly used in GIS are devoted to maintaining the vector polygons' shape characteristics, but neglect the gain and loss of a polygon's area, which is another important attribute. This paper proposes an equal-area conversion model based on an area compensation optimization principle. According to the topological relationship among polygons and boundary grids, a neighborhood compensation principle was adopted to assign the attributes of boundary grids and a global optimization algorithm was developed to minimize area distortion in the whole data set. Two experiments were designed and the results indicated that this algorithm not only guaranteed the area error is as small as possible, but also has the advantage as being adaptive to polygon shape and spatial structure.