关于喀斯特洞穴发育深度问题

探讨喀斯特洞穴发育深度,必须考虑其形成的环境条件。喀斯特洞穴的形成环境可归结为两大系统:１）常温常压开放系统,主要表现为在强烈的地下水动力作用下的溶蚀作用;２）高温高压封闭系统,主要表现为在微弱的地下水动力作用下的化学溶蚀作用。热水溶蚀及混合溶蚀作用是发育深部洞穴的主要动力      

The assessment of health impact caused by energy use in urban areas of China: an intake fraction–based analysis

The Indian Ocean Tsunami of December 2004 caused inundation of seawater along the Northern coast of Tamil Nadu, India, resulting in loss of 8,000 people with extensive damage to properties. The paper describes the inundation of seawater in two northern districts, namely Kancheepuram and Villupuram districts, which showed distinct patterns of inundation of seawater and run-up levels due to variations in geomorphic features. TUNAMI N2 model was used to predict the seawater inundation for earthquakes occurred in 1881 at Car Nicobar, Sumatra 2004 and a worst-case scenario. The coastal areas with beaches having gentle slope showed more inundation compared with coastal areas having varied slope and habited by sand dunes and coastal vegetation. Appreciable inundation of seawater with tsunami simulated for 1881 Car Nicobar indicated that proximity to the source plays a major role besides earthquake parameters in causing inundation. The worst-case scenario generated from subduction zone of Car Nicobar using Sumatra 2004 earthquake parameters revealed extreme vulnerability of coasts of both the districts to giant tsunamis.     

含煤地层AVO正演模型参数优选分析

采用GEOVIEW软件,选取顶底板为泥岩,中间为煤层（厚度变化范围0～30m）的三层介质作模型,通过改变中间煤层的厚度、处理采样率、子波等参数,并保持上下围岩参数不变的方式来讨论相关参数对AVO响应的影响,结果表明当处理采样率越高时,AVO截距和梯度精度就越高;子波采样率过低,会引起AVO截距和梯度值的扰动现象;当子波采样率提高到一定程度时,扰动现象消除;子波主频的大小决定了调谐效应的范围,提高地震波主频,有利于提高分辨率;子波长度的变化对AVO截距和梯度值求取影响不大。上述结论为AVO正演模型参数优选提供了依据,其最佳参数的选取可有效提高含煤地层AVO正演模型的精度。     

江西永平铜矿区古构造应力场与构造演化

利用多重反演方法(Multiple Inverse Method,MIM)恢复永平铜矿多期古构造应力场,该方法可以划分形成断层擦痕的多个古构造应力期次.研究表明,永平矿区印支期以来至少受到3期古构造应力场作用,进而探讨了永平铜矿构造演化历史.第一期构造应力场为EW方向的近水平挤压,形成轴向近SN的褶皱,以及走向近南北的逆断层;第二期构造应力场为NW-SE方向近水平挤压,伴随着岩体的侵入,导致层间破碎带的矽卡岩化和矿体形成;第三期构造应力场为EW方向的再次挤压作用,造成控矿断层推覆距离加大,混合岩和矽卡岩破碎带向西逆冲推覆到晚古生代地层之上.     

Destruction of Archean lower crust recorded in granulite and pyroxenite xenoliths of Mesozoic basalts from Western Liaoning,North China Craton

Contributions to Mineralogy and Petrology - Fractionation of felsic magma has been critical for the formation of high-silica rhyolites, chemical differentiation of the continental crust, and...     

A high accurate automated first-break picking method for seismic records from high-density acquisition in areas with a complex surface

As the application of high-density high-efficiency acquisition technology becomes more and more wide, the areas with complex surface conditions gradually become target exploration areas, and the first-break picking work of massive low signal-to-noise ratio data is a big challenge. The traditional method spends a lot of manpower and time to interactively pick first breaks, a large amount of interactive work affects the accuracy and efficiency of picking. In order to overcome the shortcoming that traditional methods have weak anti-noise to low signal-to-noise ratio primary wave, this paper proposes a high accurate automated first-break picking method for low signal-to-noise ratio primary wave from high-density acquisition in areas with a complex surface. Firstly, this method determines first-break time window using multi-azimuth spatial interpolation technology; then it uses the improved clustering algorithm to initially pick first breaks and then perform multi-angle comprehensive quality evaluation to first breaks according to the following sequence: ‘single trace → spread → single shot → multiple shots’ to identify the abnormal first breaks; finally it determines the optimal path through the constructed evaluation function and using the ant colony algorithm to correct abnormal first breaks. Multi-azimuth time window spatial interpolation technology provides the base for accurately picking first-break time; the clustering algorithm can effectively improve the picking accuracy rate of low signal-to-noise ratio primary waves; the multi-angle comprehensive quality evaluation can accurately and effectively eliminate abnormal first breaks; the ant colony algorithm can effectively improve the correction quality of low signal-to-noise ratio abnormal first breaks. By example analysis and comparing with the commonly used Akaike Information Criterion method, the automated first-break picking theory and technology studied in this paper has high picking accuracy and the ability to stably process low signal-to-noise ratio seismic data, has a significant effect on seismic records from high-density acquisition in areas with a complex surface and can meet the requirements of accuracy and efficiency for massive data near-surface modelling and statics calculation.     

Shales in the Qiongzhusi and Wufeng–Longmaxi Formations: a rock-physics model and analysis of the effective pore aspect ratio

The shales of the Qiongzhusi Formation and Wufeng–Longmaxi Formations at Sichuan Basin and surrounding areas are presently the most important stratigraphic horizons for shale gas exploration and development in China. However, the regional characteristics of the seismic elastic properties need to be better determined. The ultrasonic velocities of shale samples were measured under dry conditions and the relations between elastic properties and petrology were systemically analyzed. The results suggest that 1) the effective porosity is positively correlated with clay content but negatively correlated with brittle minerals, 2) the dry shale matrix consists of clays, quartz, feldspars, and carbonates, and 3) organic matter and pyrite are in the pore spaces, weakly coupled with the shale matrix. Thus, by assuming that all connected pores are only present in the clay minerals and using the Gassmann substitution method to calculate the elastic effect of organic matter and pyrite in the pores, a relatively simple rock-physics model was constructed by combining the self-consistent approximation (SCA), the differential effective medium (DEM), and Gassmann’s equation. In addition, the effective pore aspect ratio was adopted from the sample averages or estimated from the carbonate content. The proposed model was used to predict the P-wave velocities and generally matched the ultrasonic measurements very well.     

Monitoring litter interception of rainfall using leaf wetness sensor under controlled and field conditions

Leaf litter interception of water is an integral component of the water budget for some vegetated ecosystems. However, loss of rainfall to litter receives considerably less attention than canopy interception due to lack of suitable sensors to measure changes in litter water content. In this study, a commercially available leaf wetness sensor was calibrated to the gravimetric water content of eastern redcedar (Juniperus virginiana ) litter and used to estimate litter interception in a subhumid eastern redcedar woodland in north‐central Oklahoma. Under controlled laboratory conditions, a strong positive correlation between the leaf wetness sensor output voltage (mV) and measured gravimetric litter water content (? _g) was determined: ? _g = (.0009 × mV²) ? (0.14 × mV) ? 11.41 (R ² = .94, p  < .0001). This relationship was validated with field sampling and the output voltage (mV) accounted for 48% of the observed variance in the measured water content. The maximum and minimum interception storage capacity ranged between 1.16 and 12.04 and 1.12 and 9.62 mm, respectively. The maximum and minimum amount of intercepted rain was positively correlated to rainfall amount and intensity. The continuous field measurements demonstrated that eastern redcedar litter intercepted approximately 8% of the gross rainfall that fell between December 16, 2014 and May 31, 2015. Therefore, rainfall loss to litter can constitute a substantial component of the annual water budget. Long‐term in situ measurement of litter interception loss is necessary to gain a better estimate of water availability for streamflow and recharge. This is critical to manage water resources in the south‐central Great Plains, USA where grasslands are rapidly being transformed to woodland or woody dominated savanna.     

湖南禾库地区水系沉积物地球化学特征及找矿预测

依据1∶5万水系沉积物测量资料,分析研究了湖南禾库地区水系沉积物地球化学特征。对元素分布、单元素异常、元素相关性、异常元素组合等特征的研究表明水系沉积物地球化学测量方法在高山峻岭、地形复杂的禾库地区有良好的找矿效果,并优选了嗅脑和杉木冲2处铅锌找矿远景区。