Mineralogical, chemical, and crystallographic properties of supergene jarosite-group minerals from the Xitieshan Pb-Zn sulfide deposit, northern Tibetan Plateau, China

Supergene jarosite-group minerals are widespread in weathering profiles overlying Pb-Zn sulfide ores at Xitieshan, northern Tibetan Plateau, China. They consist predominantly of K-deficient natrojarosite, with lesser amounts of K-rich natrojarosite and plumbojarosite. Electron microprobe (EMP) analyses, scanning electron microcopy (SEM) investigation, and X-ray mapping reveal that the jarosite-group minerals are characterized by spectacular oscillatory zoning composed of alternating growth bands of K-deficient and K-bearing natrojarosite (K₂O >1 wt.%). Plumbojarosite, whenever present, occurs as an overgrowth in the outermost bands, and its composition can be best represented by K_0.29Na_0.19Pb_0.31Fe_2.66Al_0.22(SO₄)_1.65(PO₄)_0.31(AsO₄)_0.04(OH)_7.37. The substitution of monovalent for divalent cations at the A site of plumbojarosite is charge balanced by the substitution of five-valent for six-valent anions in XO₄ at the X site. Thermogravimetric analysis (TGA) of representative samples reveal mass losses of 11.46 wt.% at 446.6 °C and 21.42 wt.% at 683.4 °C due to dehydroxylation and desulfidation, respectively. TGA data also indicate that the natrojarosite structure collapses at 446.6 °C, resulting in the formation of NaFe(SO₄)₂ and minor hematite. The decomposition products of NaFe(SO₄)₂ are hematite and Na₂SO₄. Powder X-ray diffraction (XRD) analyses show that the jarosite-group minerals have mean unit-cell parameters of a?=?7.315 Å and c?=?016.598 Å. XRD and EMP data support the view that substitutions of Na for K in the A site and full Fe occupancy in the B site can considerably decrease the unit-cell parameter c, but only slightly increase a. The results from this study suggest that the observed oscillatory zoning of jarosite-group minerals at Xitieshan resulted mainly from substitutions of K for Na at the A site and P for S at the X site.     

Response surface-based robust geotechnical design of supported excavation – spreadsheet-based solution

ABSTRACT

The robust geotechnical design (RGD) approach which involves optimization to obtain a design that is safe, cost-efficient, and robust in the face of uncertainties, can be computationally challenging for complex geotechnical structures. In this study, the RGD approach has become practical by introducing a response surface as a surrogate to finite element- or finite difference-based computer code that is used for analyzing the system, and developing a fast algorithm for the optimization process. For demonstration purposes, a real-world supported excavation project is designed using this modified RGD approach and it is compared with the one designed by a local expert.     

地质遗迹资源保护与开发的社区参与模式——以华蓥山大峡谷地质公园为例

以华蓥山大峡谷地质公园为例,应用问卷调查和登门访谈的方法,对地质公园内居民的社区参与现状和意愿进行调查,分析他们对地质遗迹资源保护与开发的认知态度,明确他们在资源开发中的利益诉求。调查表明,在资源保护和开发中社区参与存在的主要问题是,居民参与度低,参与机会有限,有强烈的参与决策、规划、商业经营的愿望,并希望在参与中分享资源开发的利益,参与过程得到政府、企业的保障。本文在现有的经营体制下,从资源保护(含环境保护)、规划决策、商业经营、利益分配、社会参与保障等五个方面,构建了居民在地质遗迹资源保护和利用中的社区参与模型体系,为我国地质遗迹资源保护和开发中的社区参与问题研究和实践提供了参考。     

中国大陆中强以上地震余震分布尺度的统计特征

依据1970年以来记录相对完备的MSge;5.0地震序列资料，统计研究了中国大陆余震分布尺度与序列最大地震震级M0及最大地震破裂形式之间的关系. 在95%置信概率下，考虑主震破裂形式， 分序列类型给出了余震分布尺度与M0之间的统计关系. 定性而言，余震分布尺度的对数lgR与M0正相关， 但数据分布较为离散. 分类型来看， 孤立型序列余震分布尺度与M0之间统计相关程度低， 余震分布尺度介于5~60 km之间； 主余型序列lgR与M0正相关； 多震型序列当M0le;6.2时lgR与M0之间相关性不显著，余震分布尺度介于5~70 km之间， 当M0ge;6.3时lgR与M0线性相关. 统计结果还表明， 走滑近走滑及斜滑型主震所导致序列类型比例之间没有显著差异，而倾滑近倾滑型主震（主要为逆断型破裂）所导致的主余型序列所占比例较高， 孤立型及多震型序列所占比例则相对较低. 对比研究显示， 当M0较高时，余震分布尺度主要取决于主震大小而与主震破裂形式关系不明显.      

人工合成烃类流体包裹体测温数据对石油地质的指示

石油地质中,通常使用流体包裹体的数据来恢复油气捕获时候的温度与压力。为了探讨这些温度和压力真实地质意义,我们通过设定的温度和压力人工合成烃类包裹体,并通过测量烃类包裹体和同期捕获的水包裹体的均一温度,来解释地质中的现象。     

区域性网络定位服务应用技术探讨

通过建立区域连续运行卫星基准站网络系统,建立一种新型定位测量与服务模式,取代现有传统标志式控制点位保存、管理与应用模式,实现虚拟化的、现代网络定位服务,并介绍了不同的测绘精度需求的作业与应用模式。     

局部倾角滤波和预测反演联合分离绕射波

地震绕射波源于介质非连续性,从地震记录中将绕射波分离出来并进行成像,其结果对研究诸如碳酸盐岩缝洞储层这类复杂非均质储层具有重要意义.对炮集记录进行平面波分解,在地层倾角不大的假设下,反射波和绕射波同相轴在平面波分解剖面上存在较大的倾角差异.基于此,我们提出分步进行绕射波分离的方法:(1)利用局部倾角滤波方法将绕射波的较大倾角信息成分分离出来,此时,余下的部分包含有反射波和残留的低倾角绕射波信息;(2)利用频率-空间域预测反演方法从上述含有反射波和残留的低倾角绕射波信息中分离出残留绕射波成分;(3)将两次分离的绕射波信息相加得到最终的绕射波估计.用该方法能够得到相对完整的绕射波信息,有效地克服了靠单一的倾角差异进行绕射波分离时明显损失低倾角信息,从而影响绕射波成像结果横向分辨率这一问题.理论与实际资料试算验证了该方法的有效性.     

合成地震记录制作中的质量控制方法研究

合成地震记录制作中的质量控制将最终决定地震地质层位标定的精度,为此,在分析合成地震记录原理基础上,从三个环节对合成地震记录制作进行质量控制:①通过测井数据精确计算反射系数;②提取与地震资料频谱一致、波形和相位稳定的地震子波;③在获得高精度速度场的基础上,从波组、波形、振幅、频率和相位特征等方面进行匹配调整等,通过对各个环节的研究分析,提出了一整套行之有效的质量控制方法,提高合成地震记录的精度,达到层位标定对合成地震记录精度的要求.     

晋冀蒙交界地区中小地震视应力时空分布特征

选取晋冀蒙交界地区固定和临时测震台网记录的2014-2016年地震波形资料,采用近震Brune模型,结合遗传算法,反演计算298次M_L ≥ 2.0中小地震视应力值,分析震源参数之间的标度关系,并按照震中分区,分析不同地区视应力时序变化特征及不同震级区间视应力空间分布特征,发现该区多处存在视应力高值现象,地震多发生于视应力高值异常及附近地区,与断裂带有一定对应关系。     

A new insight into land use classification based on aggregated mobile phone data

Land-use classification is essential for urban planning. Urban land-use types can be differentiated either by their physical characteristics (such as reflectivity and texture) or social functions. Remote sensing techniques have been recognized as a vital method for urban land-use classification because of their ability to capture the physical characteristics of land use. Although significant progress has been achieved in remote sensing methods designed for urban land-use classification, most techniques focus on physical characteristics, whereas knowledge of social functions is not adequately used. Owing to the wide usage of mobile phones, the activities of residents, which can be retrieved from the mobile phone data, can be determined in order to indicate the social function of land use. This could bring about the opportunity to derive land-use information from mobile phone data. To verify the application of this new data source to urban land-use classification, we first construct a vector of aggregated mobile phone data to characterize land-use types. This vector is composed of two aspects: the normalized hourly call volume and the total call volume. A semi-supervised fuzzy c-means clustering approach is then applied to infer the land-use types. The method is validated using mobile phone data collected in Singapore. Land use is determined with a detection rate of 58.03%. An analysis of the land-use classification results shows that the detection rate decreases as the heterogeneity of land use increases, and increases as the density of cell phone towers increases.