胶莱盆地白垩纪构造应力场与转换机制

通过对胶莱盆地断层滑动矢量的收集与测量,利用计算机程序反演了盆地白垩纪的古构造应力场演化历史,并据此将盆地的发育划分为三个伸展阶段和三个挤压反转阶段,分别为早白垩世早-中期莱阳期伸展,与造山期后应力松弛重力坍塌有关;早白垩世中-晚期青山期伸展,受早白垩纪早期以后广泛的岩石圈减薄、大陆裂陷制约;晚白垩世王氏期伸展,与郯庐断裂及牟平-即墨断裂右旋走滑有关。三期伸展之间存在构造挤压反转,最后阐明各期盆地发育的地球动力学背景。     

瞬态瑞雷面波法在公路工程地质勘察中的应用

结合安徽省高速公路建设工程实例,介绍瞬态瑞雷面波勘探技术在公路工程地质勘察中的应用,解决沿线高边坡、深路堑、桥梁、隧道进出口的岩土分层,给出基岩风化分带等工程地质问题,省时、省力,取得了良好的经济效益和环境效益.     

森林沼泽景观区区域化探新、旧方法技术应用效果对比

自森林沼泽景观区1∶20万区域化探工作开展以来,各个单位、不同阶段工作方法技术各有不同,工作效果不明显。中国地质科学院地球物理地球化学勘查研究所近年来通过研究制定了新的工作方法技术,通过应用取得了较好的效果,为此本文仅以内蒙古一二五公里幅1∶20万区域化探新、旧方法技术的应用效果对比进行初步探讨。     

航空物探对华南某地区天然放射性辐射环境的调查

在华南某地区开展了航空物探调查,发现该地区天然放射性辐射水平相当高,并查明了引起的地质因素和分布特征,评估了天然放射性高辐射地区居民平均有效接收剂量,讨论了人类活动导致富含放射性石料的搬运、扩散所致使的危害.航空物探资料的利用为环境保护和治理规划提供了重要依据.     

Palynostratigraphy of the Erkovtsy field of brown coal (the Zeya-Bureya sedimentary basin)

The Erkovtsy brown coal field in the northwestern Zeya-Bureya sedimentary basin (129°–130° E, 46°–47° N) is structurally confined to southern flank of the Mesozoic-Cenozoic Belogor’e depression. The verified stratigraphic scheme of the coalfield sedimentary sequence is substantiated by palynological data on core samples from 18 boreholes sampled in the course of detailed prospecting and by paleobotanical analysis of sections in the Yuzhnyi sector of the coalfield (data of 1998 by M.A. Akhmetiev and S.P. Manchester). Sections of the Erkovtsy, Arkhara-Boguchan, and Raichikha brown-coal mines are correlated. Stratigraphic subdivisions distinguished in the studied sedimentary succession are the middle and upper Tsagayan subformations (the latter incorporating the Kivda Beds), Raichikha, Mukhino, Buzuli, and Sazanka formations.     

Fairweather atmospheric electricity at Antarctica during local summer as observed from Indian station,Maitri

Surface measurements of the atmospheric electrical parameters like Maxwell current, electric field and conductivity studied at the Indian station, Maitri (70.75° S, 11.75° E, 117 m above mean sea level), Antarctica, during austral summer have been analyzed for the years 2001 to 2004. A total of 69 days were selected which satisfied the ‘fairweather’ conditions, i.e., days with absence of high winds, drifting or falling snow, clouds, and fog effects. The diurnal variation curve of electric field and vertical current averaged for 69 fairweather days is a single periodic with a minimum at 03:00 UT and a maximum near 19:00 UT, which is very similar to the Carnegie curve. The correlation coefficient between these measured parameters has a high value (more than 0.9) for all the days. During fairweather days the measured current and field variations are similar and hence it is clear that the conductivity is more or less stable. During magnetically disturbed days, the dawn-dusk potential drop has clear influences on the diurnal variation and it modifies the conductivity. Apart from the day-to-day variation in low latitude thunderstorm activity, there are diurnal, seasonal, inter-annual variations in the electric potential and the currents, as well as solar influences on the measured parameters. This study will help us to examine the impact of solar and geophysical phenomena like solar flares, geomagnetic storms and substorms on the global electric circuit.     

从盘县红岩洞金矿的发现看化探找矿方法及效果

盘县红岩洞金矿是应用地球化学勘查方法发现的金矿体,回顾发现该矿体的过程,研究地球化学特征,讨论应用地球化学勘查方法寻找微细浸染型金矿的工作方法及经验。     

高力罕凹陷地浸砂岩型铀成矿条件浅析及远景预测

高力罕凹陷为二连盆地乌尼特坳陷的一个组成部分,由有相似构造发育史的分散小湖盆(洼槽)集合而成的沉积盆地。结构复杂,表现出分割性强,多洼槽多沉积中心,岩相变化大的特点。通过对高力罕凹陷的构造特征、结构特征、沉积特征、岩性发育特征及铀成矿条件的分析,认为高力罕凹陷具有良好的铀矿找矿前景。提出该地区的找矿方向,具有一定的参考意义。     

Assessment of Exploration Bias in Data-Driven Predictive Models and the Estimation of Undiscovered Resources

The spatial distribution of discovered resources may not fully mimic the distribution of all such resources, discovered and undiscovered, because the process of discovery is biased by accessibility factors (e.g., outcrops, roads, and lakes) and by exploration criteria. In data-driven predictive models, the use of training sites (resource occurrences) biased by exploration criteria and accessibility does not necessarily translate to a biased predictive map. However, problems occur when evidence layers correlate with these same exploration factors. These biases then can produce a data-driven model that predicts known occurrences well, but poorly predicts undiscovered resources. Statistical assessment of correlation between evidence layers and map-based exploration factors is difficult because it is difficult to quantify the “degree of exploration.” However, if such a degree-of-exploration map can be produced, the benefits can be enormous. Not only does it become possible to assess this correlation, but it becomes possible to predict undiscovered, instead of discovered, resources. Using geothermal systems in Nevada, USA, as an example, a degree-of-exploration model is created, which then is resolved into purely explored and unexplored equivalents, each occurring within coextensive study areas. A weights-of-evidence (WofE) model is built first without regard to the degree of exploration, and then a revised WofE model is calculated for the “explored fraction” only. Differences in the weights between the two models provide a correlation measure between the evidence and the degree of exploration. The data used to build the geothermal evidence layers are perceived to be independent of degree of exploration. Nevertheless, the evidence layers correlate with exploration because exploration has preferred the same favorable areas identified by the evidence patterns. In this circumstance, however, the weights for the “explored” WofE model minimize this bias. Using these revised weights, posterior probability is extrapolated into unexplored areas to estimate undiscovered deposits.