摘要
赣中南城地区出露一套加里东期花岗闪长岩,通过对该套花岗岩进行LA-ICP-MS锆石U-Pb测年,获得其成岩年龄为413.8±2.3 Ma,属加里东晚期岩浆活动的产物。岩石富碱(Na2O+K2O在6.46%~6.62%)、贫硅(SiO2在67.81%~68.42%)、贫钙(CaO在3.94%~4.07%)、贫镁(MgO在0.63%~0.65%),具有强过铝质性质和低钾(拉斑)系列特征。稀土总量较低(∑REE=47.39×10^-6~68.11×10^-6),轻稀土富集明显((La/Yb)N=12.97~27.24),REE配分曲线具有明显的右倾特征,Eu正异常明显(δEu=2.15~3.66),亏损Ba、Nb、Ta等元素,富集Rb、Sr、Th、U、Pb,具有高Sr低Yb型花岗岩特征。岩浆来源具有壳幔混合特点,与加里东晚期赣中南古陆大部分花岗岩形成的大地构造背景差异性较大,可能与赣中南古陆该时期大地构造属性不均一有关。
A set of Caledonian granodiorite is exposed in the Nancheng area from the central Jiangxi.Based on the LA-ICP-MS zircon U-Pb dating technique,the diagenetic age of the granite is 413.8±2.3 Ma,which is the magmatite in the late Caledonian period.The rocks are alkali-rich(Na2O+K2O=6.46%-6.62%),silicon-poor(SiO2=67.81%-68.42%),calcium-poor(CaO=3.94%-4.07%),and magnesium-poor(MgO=0.63%-0.65%),with strong over-aluminium properties and low potassium-tholeiite features.The REE distribution curve is a right-dumping curve,Eu positive anomaly is obvious(δEu=2.15-3.66),and elements,such as Ba,Nb,and Ta,are depleted,and Rb,Sr,Th,U,and Pb are enriched.∑REE is low(∑REE=47.39×10^-6-68.11×10^-6),LREE is enriched((La/Yb)N=12.97-27.24).They are high Sr and low Yb type granites.The magma source has the characteristics of crust and mantle mixing.Compared with most of the late Caledonian granites in the ancient land of the central-south Jiangxi,the geotectonic background of study area is very different.It may be related to the heterogeneity of the tectonic attributes of the ancient land in central-south Jiangxi.
作者
杨庆坤
华琛
于玉帅
张小亮
YANG Qing-kun;HUA Chen;YU Yu-shuai;ZHANG Xiao-liang(Key Laboratory for Digital Land and Resources of Jiangxi Province,East China University of Technology,Nanchang 330013,China;Wuhan Center of China Geological Survey,Wuhan 430205,China;Mineral Resources and School of Earth Science,China University of Geosciences,Beijing 100083,China)
出处
《桂林理工大学学报》
CAS
北大核心
2019年第4期781-792,共12页
Journal of Guilin University of Technology
基金
国家重点研发计划项目(2016YFC0600205)
国家自然科学基金项目(41602069)
江西省自然科学基金项目(20171BAB213026)
江西省数字国土重点实验室开放基金项目(DLLJ201918)