东川式铜矿的成矿作用及后期叠加改造:来自硫化物原位硫同位素的制约   总被引：2，自引：1，他引：1  

殷学清  林海涛  苏治坤  赵新福 《矿床地质》2021,40(1):34-52

沉积岩型层状铜矿床(SSC型)的成因争论聚焦在成矿作用主要集中在沉积成岩期并可能叠加有后期成矿作用,还是形成于成岩后盆地闭合过程和造山作用有关。产于扬子板块西缘的东川式铜矿是中国SSC型矿床的典型代表,这些矿床赋存在晚古元古界东川群岩石中,主要呈层状矿体产出,但也存在少量脉状矿体。文章选择东川铜矿田内因民、汤丹和滥泥坪3个典型矿床的层状和脉状矿体中硫化物(黄铁矿、黄铜矿、斑铜矿和辉铜矿)开展原位硫同位素组成的对比研究。实验结果表明,这些矿床的硫化物原位硫同位素组成分布范围较广:因民矿床层状硫化物的δ³⁴S值分布于4.7‰~22.1‰,汤丹和滥泥坪矿床层状硫化物的δ³⁴S值为-3.3‰~3.1‰;因民矿床脉状硫化物的δ³⁴S值分布于21.0‰~30.7‰,汤丹和滥泥坪矿床脉状硫化物的δ³⁴S值为-19.4‰~3.5‰。层状矿体和脉状矿体的硫化物硫同位素组成明显不同,表明形成2种产状矿体的硫来源不同。层状矿体较大的硫同位素组成差异指示了海相硫酸盐不同程度的热化学还原作用,表明初始成矿流体中的硫来源于循环盆地卤水中溶解的海相蒸发岩。脉状矿体的硫同位素组成则强烈受控于矿区的赋矿围岩,因民矿床硫化物中极高的硫同位素组成表明硫的来源为地层中的海相蒸发岩,而汤丹和滥泥坪矿床中亏损³⁴S的特征则表明硫的来源为富含生物还原硫的碳质板岩。结合野外地质关系和前人研究成果,文章认为层状矿体和脉状矿体是2期独立成矿事件的产物,层状矿体形成于成岩作用时期,脉状矿体形成于后期独立的局部构造热成矿事件,也即SSC型矿床的成矿作用主要发生在成岩期,但普遍遭受后期热液活动的叠加,并且在不同的成矿期中可能存在着多阶段的成矿作用。  相似文献   

探地雷达宽角反射图形拟合方法     

蔡连初  缪念有 《物探与化探》2021,(1):239-244

探地雷达共中心点(CMP)法仅用于局部速度测试,为使用宽角反射法进行剖面探测,可固定一个雷达天线而将另一个天线沿测线移动,从而获取整个地质界面的反射信号。本文提出宽角反射剖面探测方法,基于平直岩层界面导出其反射信号的关系式,并开发出解释软件,可精确计算岩层几何参数和层速度,从而进行地质分层。  相似文献   

基于多元线性回归分析的页岩气有利区评价新方法——以上扬子地区五峰组—龙马溪组海相页岩为例          下载免费PDF全文

周业鑫  赵安坤  余谦  张娣  张茜  雷子慧 《沉积与特提斯地质》2021,41(3):387-397

本文以四川盆地及其周缘五峰组-龙马溪组页岩气评价为例,总结了页岩气有利区优选的储层参数、保存参数和压力系数等参数,量化了各关键参数平面分布,运用多元线性回归分析方法计算了参数权重,通过多参数加权叠加公式建立了多元线性回归模型：有利区=-0.317+0.75×埋深+0.285×TOC+0.148×R_O+0.093×孔隙度-0.128×渗透率+0.201×脆性矿物-0.199×压力系数,并开展了定量化优选评价页岩气有利区工作。分析结果表明,各参数权重由大到小排序为：埋深、TOC、脆性矿物和压力系数、R_O、孔隙度、渗透率,代表对含气性的影响作用依次减小。经过量化优选的有利区主要集中于四川盆地内,包括威远-自贡一线、宜宾-泸州-涪陵一线和川东区域为主,盆外的昭通、金沙、道真和黔江区域为相对有利区。该预测评价结果与四川盆地页岩气勘探实际基本相符,有利区表现形式较传统综合地质方法更清晰、直观。  相似文献   

冻融循环下含节理类岩石试样剪切破坏特性     

徐新木  张耀平  付玉华  雷大星  邹雄刚 《吉林大学学报(地球科学版)》2021,51(2):483-494

为探究冻融循环对节理岩石抗剪力学特性的影响,针对冻融循环前后不同连通率节理岩石试样进行剪切特性试验,探究了节理试样的剪切破坏机制,对比分析了冻融前后节理试样抗剪强度的衰减趋势,分析了黏聚力及内摩擦角随岩石试样剪切破坏面分形维数的变化规律。结果表明：随冻融循环次数的增加,节理试样剪切应力-位移曲线发生显著变化,峰值剪应力出现明显下降,黏聚力及内摩擦角对比冻融前试样出现明显劣化,并且随节理试样连通率的增加,劣化程度加剧;在节理连通率相同时,随冻融循环次数的增加,剪切破坏面的分形维数呈现近指数函数递增的趋势,随分形维数的增加,节理试样的黏聚力损伤因子、内摩擦损伤因子也呈现指数函数增加的趋势;在冻融循环次数相同时,内摩擦角损伤因子随节理连通率的增大呈先减小后增大的趋势,而黏聚力损伤因子在冻融循环次数为30次前后分别呈递增和先减后增的趋势。  相似文献   

基于全球及区域气候模式的江苏省降水变化趋势预估          下载免费PDF全文

李熠  买苗 《大气科学学报》2019,42(3):447-458

利用气象观测资料,8个全球耦合气候系统模式的集合平均以及区域气候模式(RegCM4)的结果,通过方差分析、相关分析、趋势分析、扰动法等方法对模式性能进行了评估,并对江苏省在未来RCP8.5高端排放情景下降水的变化趋势进行了预估。结果表明,在RCP8.5情景下,至2020、2030和2050年,全球模式模拟的江苏省年平均降水在未来有逐渐增加的趋势,线性增加率约为7 mm/(10 a)。至2050年,江苏省年平均降水量将增加2%左右;区域模式模拟的年平均降水在未来线性增加率为1.5 mm/(10 a),变化不显著。区域模式模拟的夏季降水在未来有所增加,最多可增加20%～30%,但增幅随时间逐渐减小;全球模式模拟的夏季降水比现在有所减少,至2050年,减少了大约10%。区域模式模拟的冬季降水在未来不同时间段均比现在有所减少,同现在相比,最多可减少30%～40%;而全球模式模拟的冬季降水在未来则是先减少,后增加,至2050年,比现在大约增加10%。对于不同季节,总体而言,南部地区降水量的变化较北部地区显著。对于极端降水事件来说,江苏省未来小雨日数将减少,而暴雨日数则微弱增加。但由于全球模式本身的性能、区域模式对全球模式的依赖性以及温室气体排放的不确定性使上述预估结果仍具有不确定性。  相似文献   

基于SRTM数据的天气雷达探测环境分析研究   总被引：4，自引：3，他引：1  

景号然  谢晓琳  郑伟  彭涛  刘娟  刘宗庆 《气象》2019,45(6):871-876

利用SRTM高程数据作为选址基础数据,结合天气雷达工作方式和探测方法,计算得到天气雷达在0.5°、1.0°、2.4°仰角上地物遮挡情况;利用高程格点数据获得3个仰角的地物剖面数据,提高了SRTM数据利用精度和运算速度;分析中结合地球曲率和电磁波折射影响,改进算法获得站点遮蔽角图,站点上空1 km、海拔3和6 km等射束高度图及数据,该分析结果充分体现了SRTM数据的高分辨率特点。最后将结果数据与GIS地图结合,完成了四川省天气雷达网探测环境分析,并给出了各个台站评估结果。  相似文献   

行星际等离子区对火星探测器距离观测量的影响          下载免费PDF全文

李杰  胡松杰 《海洋测绘》2010,30(2):32-34

根据Muhleman和Anderson在1981年给出的行星际空间等离子体密度模型,模拟计算了行星际等离子区对8GHz电波的距离延迟与太阳-地球-航天器夹角(SEP)和光路径长度(L)的关系。结果显示,在本文的模拟条件下,距离延迟随SEP和L从几毫米变化到几十米。最后,分别仿真了一条地火转移轨道和环火星轨道,计算了两种情况下行星际等离子区延迟对测站到航天器距离观测量的影响。  相似文献   

Dominant climate factors influencing the Arctic runoff and association between the Arctic runoff and sea ice     

LI Pixue  ZHANG Zhanhai  LIU Jiping 《海洋学报(英文版)》2010,29(5):10-20

By using the Arctic runoff data from R-ArcticNET V4.0 and ArcticRIMS, trends of four major rivers flowing into the Arctic Ocean, whose climate factor plays an important role in determining the variability of the Arctic runoff, are investigated. The results show that for the past 30 years, the trend of the Arctic runoff is seasonally dependent. There is a significant trend in spring and winter and a significant decreasing trend in summer, leading to the reduced seasonal cycle. In spring, surface air temperature is the dominant factor influencing the four rivers. In summer, precipitation is the most important factor for Lena and Mackenzie, while snow cover is the most important factor for Yenisei and Ob. For Mackenzie, atmospheric circulation does play an important role for all the seasons, which is not the case for the Eurasian rivers. The authors further discuss the relationships between the Arctic runoff and sea ice. Significant negative correlation is found at the mouth of the rivers into the Arctic Ocean in spring, while significant positive correlation is observed just at the north of the mouths of the rivers into the Arctic in summer. In addition, each river has different relationship with sea ice in the eastern Greenland Sea.  相似文献   

Re‐establishment of soil water repellency after destruction by intense burning in a Mediterranean heathland (SW Spain)     

Antonio Jordán  Félix A. González  Lorena M. Zavala 《水文研究》2010,24(6):736-748

Soil water repellency has been conventionally considered as a fire‐induced effect, but an increasing number of studies have suggested that natural background repellency occurs in many soil types, and many of them have suggested that water repellency can be re‐established over time after being destroyed. An experimental fire was conducted to study changes of the soil surface during the first 18 months following intense burning. The main objectives of this paper are as follows: (1) to investigate in situ water repellency changes at three soil depths (0, 2 and 4 cm) immediately after burning; (2) to evaluate the medium‐term evolution of water repellency under field conditions; and (3) to outline the main hydrological consequences of these changes. Also, different water repellency tests (water drop penetration time, ethanol percentage test (EPT) and contact angle (CA) between water drops and the soil surface) were carried out for comparison purposes. Field experiments showed that soil water repellency was partly destroyed after intense burning. Changes were relatively strong at the soil surface, but diminished progressively with depth. Levels of water repellency were practically re‐established 18 months after burning. This suggests that water repellency in the studied area is not necessarily a consequence of fire, but can instead be a natural attribute. Finally, although limited in time, destruction of soil water repellency has important consequences for runoff flow generation and soil loss rates, and, indirectly, for water quality. Copyright © 2009 John Wiley & Sons, Ltd.  相似文献   

Spatial and multivariate analysis of geochemical data from metavolcanic rocks in the Ben Nevis area, Ontario   总被引：4，自引：0，他引：4  

E. C. Grunsky  F. P. Agterberg 《Mathematical Geology》1988,20(7):825-861

A study of the lithogeochemistry of metavolcanics in the Ben Nevis area of Ontario, Canada has shown that factor analysis methods can distinguish lithogeochemical trends related to different geological processes, most notably, the principal compositional variation related to the volcanic stratigraphy and zones of carbonate alteration associated with the presence of sulphides and gold. Auto- and cross-correlation functions have been estimated for the two-dimensional distribution of various elements in the area. These functions allow computation of spatial factors in which patterns of multivariate relationships are dependent upon the spatial auto- and cross-correlation of the components. Because of the anisotropy of primary compositions of the volcanics, some spatial factor patterns are difficult to interpret. Isotropically distributed variables such as CO ₂ are delineated clearly in spatial factor maps. For anisotropically distributed variables (SiO ₂ ), as the neighborhood becomes smaller, the spacial factor maps becomes better. Interpretation of spatial factors requires computation of the corresponding amplitude vectors from the eigenvalue solution. This vector reflects relative amplitudes by which the variables follow the spatial factors. Instability of some eigenvalue solutions requires that caution be used in interpreting the resulting factor patterns. A measure of the predictive power of the spatial factors can be determined from autocorrelation coefficients and squared multiple correlation coefficients that indicate which variables are significant in any given factor. The spatial factor approach utilizes spatial relationships of variables in conjunction with systematic variation of variables representing geological processes. This approach can yield potential exploration targets based on the spatial continuity of alteration haloes that reflect mineralization.List of symbols c _i Scalar factor that minimizes the discrepancy between andU _i - D Radius of circular neighborhood used for estimating auto- and cross-correlation coefficients - d Distance for which transition matrixU is estimated - d _ij Distance between observed valuesi andj - E Expected value - E _i Row vector of residuals in the standardized model - F(d _ij) Quadratic function of distanced _ij F(d _ij)=a+bd _ij+cd _ij ² - L Diagonal matrix of the eigenvalues ofU - _i Eigenvalue of the matrixU;ith diagonal element ofL - N Number of observations - p Number of variables - Q Total predictive power ofU - R Correlation matrix of the variables - R _0j Variance-covariance signal matrix of the standardized variables at origin;j is the index related tod andD (e.g.,j=1 ford=500 m,D=1000 m) - R _1j Matrix of auto- and cross-correlation coefficients evaluated at a given distance within the neighborhood - R _m ² Multiple correlation coefficient squared for themth variable - S _i Column vectori of the signal values - s _k ² Residual variance for variablek - T _i Amplitude vector corresponding toV _i;ith row ofT=V ^–1 - T Total variation in the system - U Nonsymmetric transition matrix formed by post-multiplyingR ₀₁ ^–1 byR _ij - U _i Componenti of the matrixU, corresponding to theith eigenvectorV _i;U _i= _iV_iT_i - U* _i ComponentU _i multiplied byc _i - U _ij Sum of componentsU _i+U _j - V _i Eigenvector of the matrixU;ith column ofV withUV=VL - w Weighting factor; equal to the ratio of two eigenvalues - X _i Random variable at pointi - x _i Value of random variable at pointi - y _i Residual ofx _i - Z _i Row vectori for the standardized variables - z _i Standardized value of variable  相似文献