Guandishan Granitoids of the Paleoproterozoic Lüliang Metamorphic Complex in the Trans-North China Orogen: SHRIMP Zircon Ages, Petrogenesis and Tectonic Implications

Abstract: The Paleoproterozoic Lüliang Metamorphic Complex (PLMC) is situated in the middle segment of the western margin of the Trans-North China Orogen (TNCO), North China Craton (NCC). As the most important lithological assemblages in the southern part of the PLMC, Guandishan granitoids consist of early gneissic tonalities, granodiorites and gneissic monzogranites, and younger gneissic to massive monzogranites. Petrochemical features reveal that the early gneissic tonalities and granodiorites belong to the medium-K calc-alkaline series; the early gneissic monzogranites are transitional from high-K calc-alkaline to the shoshonite series; the younger gneissic to massive monzogranites belong to the high-k calc-alkaline series, and all rocks are characterized by right-declined REE patterns and negative Nb, Ta, Sr, P, and Ti anomalies in the primitive mantle normalized spidergrams. SHRIMP zircon U–Pb isotopic dating reveals that the early gneissic tonalities and granodiorites formed at ~2.17 Ga, the early gneissic monzogranites at ~2.06 Ga, and the younger gneissic to massive monzogranites at ~1.84 Ga. Sm–Nd isotopic data show that the early gneissic tonalities and granodiorites have εNd(t) values of +0.48 to ?3.19 with Nd-depleted mantle model ages (TDM) of 2.76–2.47 Ga, and early gneissic monzogranites have εNd(t) values of ?0.53 to ?2.51 with TDM of 2.61–2.43 Ga, and the younger gneissic monzogranites have εNd(t) values of ?6.41 to ?2.78 with a TDM of 2.69–2.52 Ga.These geochemical and isotopic data indicate that the early gneissic tonalities, granodiorites, and monzogranites were derived from the partial melting of metamorphosed basaltic and pelitic rocks, respectively, in a continental arc setting. The younger gneissic to massive monzogranites were derived by partial melting of metamorphosed greywackes within the continental crust. Combined with previously regional data, we suggest that the Paleoproterozoic granitoid magmatism in the Guandishan granitoids of the PLMC may provide the best geological signature for the complete spectrum of Paleoproterozoic geodynamic processes in the Trans-North China Orogen from oceanic subduction, through collisional orogenesis, to post-orogenic extension and uplift.     

贵州天柱磨山─油麻坳金矿化带地球化学特征及成矿作用

贵州天柱磨山油麻坳金矿化带地球化学特征及成矿作用＊张杰余大龙李明琴张先煜杨勇俊（贵州工业大学资源工程系，贵阳５５０００３）关键词金矿化带金矿地球化学金矿成矿作用黔东天柱本文主要研究了黔东天柱磨山—油麻坳金矿化带内主要类型岩石矿石的地质－地球化学特征，...     

WebGIS中的安全防范研究

WebGIS已成为GIS发展的主流方向,在要求更大范围的数据共享和业务协作的同时,还要求更高的安全防范。分析WebGIS应用中常见的安全隐患,并从Web服务器、WebGIS应用程序和数据库服务等方面,探讨如何提高WebGIS应用系统的安全性。     

陕北靖边庙梁遗址浮选结果与分析

庙梁遗址是陕北地区仰韶晚期至龙山时期的一处聚落遗址,其出土遗存开启的龙山时代后期"双鋬鬲陶器体系"被认为是石峁文化的重要源头.在发掘过程中对房址、灰坑、灶址等遗迹共采得土样32份,共计143.5 L,其中包括仰韶晚期的样品14份,共67 L;龙山时期的样品18份,共76.5 L.通过对庙梁遗址开展的浮选工作,发现了23...     

基于区域自动站数据的兰州地区降水精细化特征

基于2012—2019年兰州地区146个区域自动气象站小时降水数据,从不同时间尺度分析兰州地区近8 a降水精细化特征。结论如下:(1)2012—2019年,兰州地区年均降水量总体呈"北少南多、外多内少"的空间分布特征;年降水量具有明显的年际变化,2018年降水异常偏多46%,而2015、2017年降水异常偏少,尤其2015年偏少30%。(2)兰州地区降水主要集中在7—8月,受环流形势影响,7—8月南部降水明显多于北部,其余月份南北降水差异不明显。(3)兰州地区降水量和降水范围分别表现为"朝少夕多"、"夜大日小"的日变化特征;受海拔高度影响,城区降水量总体比山区小,且因热岛效应,城区降水主要集中在午后至傍晚前后,多为对流性降水,而山区降水日分布较为均匀,整体日波动较小。(4)安宁区短时强降水发生频次最高,但短时强降水频发的站点出现在皋兰县六合站和永登县徐家磨村站,永登县是兰州地区短时强降水预报需重点关注的地区。     

基于区域自动站数据的兰州地区降水精细化特征

基于2012—2019年兰州地区146个区域自动气象站小时降水数据,从不同时间尺度分析兰州地区近8 a降水精细化特征。结论如下:(1)2012—2019年,兰州地区年均降水量总体呈"北少南多、外多内少"的空间分布特征;年降水量具有明显的年际变化,2018年降水异常偏多46%,而2015、2017年降水异常偏少,尤其2015年偏少30%。(2)兰州地区降水主要集中在7—8月,受环流形势影响,7—8月南部降水明显多于北部,其余月份南北降水差异不明显。(3)兰州地区降水量和降水范围分别表现为"朝少夕多"、"夜大日小"的日变化特征;受海拔高度影响,城区降水量总体比山区小,且因热岛效应,城区降水主要集中在午后至傍晚前后,多为对流性降水,而山区降水日分布较为均匀,整体日波动较小。(4)安宁区短时强降水发生频次最高,但短时强降水频发的站点出现在皋兰县六合站和永登县徐家磨村站,永登县是兰州地区短时强降水预报需重点关注的地区。     

A Machine Learning-based Cloud Detection Algorithm for the Himawari-8 Spectral Image

Cloud Masking is one of the most essential products for satellite remote sensing and downstream applications. This study develops machine learning-based (ML-based) cloud detection algorithms using spectral observations for the Advanced Himawari Imager (AHI) onboard the Himawari-8 geostationary satellite. Collocated active observations from Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) are used to provide reference labels for model development and validation. We introduce both daytime and nighttime algorithms that differ according to whether solar band observations are included, and the artificial neural network (ANN) and random forest (RF) techniques are adopted for comparison. To eliminate the influences of surface conditions on cloud detection, we introduce three models with different treatments of the surface. Instead of developing independent ML-based algorithms, we add surface variables in a binary way that enhances the ML-based algorithm accuracy by ~5%. Validated against CALIOP observations, we find that our daytime RF-based algorithm outperforms the AHI operational algorithm by improving the accuracy of cloudy pixel detection by ~5%, while at the same time, reducing misjudgment by ~3%. The nighttime model with only infrared observations is also slightly better than the AHI operational product but may tend to overestimate cloudy pixels. Overall, our ML-based algorithms can serve as a reliable method to provide cloud mask results for both daytime and nighttime AHI observations. We furthermore suggest treating the surface with a set of independent variables for future ML-based algorithm development.     

老挝甘蒙省钾镁盐矿床中微量硼矿物的鉴定和准确定名

以老挝甘蒙省钾镁盐矿床ZK318钻孔的含矿段(下盐层)为研究对象,对其开展了微量硼矿物的鉴定研究工作,以完善矿床的矿物组合类型。全岩样品的XRD初步结果给出,在顶部钾盐岩层中含有少量方硼石。为了进一步全面鉴定硼矿物的种类,对全岩样品溶解后得到的不溶物多晶集合体进行XRD分析,结果表明,不溶物中的硼矿物主要为方硼石(55%),其次为三斜晶系3A型氯硼钙石(15%)。3A型氯硼钙石在全岩样品中的含量不足1%,属微量矿物,因低于XRD的检出限,故在全岩样品的XRD图谱中无该矿物的衍射峰出现。此外,对三斜晶系3A型氯硼钙石的中文准确命名进行了讨论,指出中文定名应与国际惯例一致,即废除副水氯硼钙石(parahilgardite)一词,定名为3A型氯硼钙石(hilgardite-3A)以体现结构的微细差别,同时达到中文命名规范统一的目的。因此,该矿床中的硼矿物为少量方硼石和微量3A型氯硼钙石。     

Mapping Lunar Olivine Using Clementine Spectral Indices and Chemical Composition Parameters

Olivine exposures at the central peak of Copernicus crater of the Earth's Moon have been confirmed by telescope observations and Clementine spectra data.Using these exposures as training sites,this stu...     

基于主成分分析和分形模型的ASTER蚀变异常信息提取

遥感蚀变异常信息在一定程度上可以反映出围岩蚀变情况.为了利用遥感数据提取围岩蚀变异常信息,通过分析蚀变矿物的波谱曲线,首先得出其在ASTER各波段的吸收、反射特征;然后选择特征明显的波段做主成分分析,并依据其光谱特征与特征向量的对应关系,确定出主要包含围岩蚀变信息的主分量;最后对该分量用分形模型计算其异常灰度的阚值,来...