西秦岭阳山金矿带控矿因素、找矿标志及深部成矿预测

目前对西秦岭阳山金矿带勘查评价正在加速进行,为了进一步查明该矿带成矿规律和找矿潜力,指导矿田深部勘查找矿工作,武警黄金第十二支队在矿区开展了深部矿产调查和研究。文章在前人研究的基础上,通过最新的地质、地球物理勘查和室内综合研究,分析和总结了阳山金矿带主要控矿因素和找矿标志以及各因素的控矿机制。研究显示:区内的北东东向、近东西向断裂系统多沿葛条湾-草坪梁复背斜南翼层间褶皱岩层薄弱面或不同岩性接触面发育,在成矿过程中起到通道作用,限定了矿体的展布,为主要控矿因素。在明确找矿标志的基础上,以安坝矿段为研究对象,采用三维地质建模找矿信息量法进行了定量成矿预测,共圈定出深部找矿靶区4处,为矿区下一步的勘查指明了方向。     

全球N-MORB和E-MORB分类方案对比

N-MORB与E-MORB是大洋中脊玄武岩常用的分类,二者地球动力学意义不同,备受学术界关注。对于N-MORB与E-MORB的分类识别标志,不同作者有不同的见解。MORB中可以根据Rb/Nd≤0.15、K/Ti≤0.11、(La/Sm)_N≤0.8、K_2O/TiO_20.09、ΔNb=1.74+lg(Nb/Y)-1.92lg(Zr/Y)0、(La/Sm)_N1、100K_2O/TiO_2≤13等7种指标来识别N-MORB,否则为E-MORB。究竟何种标志区分效果较好、比较适合大多数MORB的情况?学术界对此还较少有人讨论。为此,本文尝试利用大数据方法,采用全球全体扩张中心数据,对上述7种标志进行对比,发现(La/Sm)_N1的标志比较适合大多数MORB的情况。为此,我们将(La/Sm)_N1和(La/Sm)_N≥1的所有数据,选取La、Ce、Pr、Nd、Sm、Eu、Gd、Tb、Dy、Ho、Er、Tm、Yb、Lu、Ba、Cs、Hf、K、Nb、Pb、Rb、Sc、Sr、Ta、Th、Ti、Tl、U、V、Y、Zr等31个元素,利用两两元素对数比值进行投图,并计算85%置信度的置信椭圆交叠率,共得出36856个元素对组合,根据最小交叠率的原则,得出使用稀土元素La、Ce、Pr、Sm和其他高场强元素Nb、Zr、Hf、Y之间的比值关系判别效果较好。我们又利用以上得出的8种元素进行投图判定,发现以La为分子或以La/Hf、La/Zr元素比值做为区分标志可以得出更好的结果。因此建议考虑应用以上元素之间的相关关系共同判定N-MORB与E-MORB。     

Progress and Prospect of Statistics and Assessment of Large-scale Natural Disaster Damage and Losses

In June 2014, the "Statistics System for the Damage and Loss of Large-scale Natural Disasters" (SSDLLND) was issued by the Ministry of Civil Affairs and the Office of National Disaster Reduction Committee, which marked that the statistics and assessment of China's catastrophic natural disaster damage and losses formally entered a new stage of institutionalization. On the basis of analyzing the five major international disaster damage and loss assessment systems, including HAZUS-MH, ECLAC, DaLA, EMA-DLA and PDNA, the differences between the “SSDLLND” of China and five major international systems were compared from the statistics and assessment contents and indicators. Combined with the statistics and assessment practices of China’s large-scale disaster damage and losses and the characteristics of international systems in recent years, the future development of the SSDLLND were proposed in three aspects: Enriching and improving the framework of damage and loss statistics content, stepwise improvement of disaster impact assessment methods (such as the ecological capital loss assessment, tourism industry loss assessment due to the disasters, etc.), and improving indicators and parameters of loss statistics. The study has an important practical significance for improving the statistics and assessment system of the damage and loss of major natural disasters and better serving the post-disaster recovery and reconstruction decision-making.     

A novel approach to leveraging social media for rapid flood mapping: a case study of the 2015 South Carolina floods

Rapid flood mapping is critical for local authorities and emergency responders to identify areas in need of immediate attention. However, traditional data collection practices such as remote sensing and field surveying often fail to offer timely information during or right after a flooding event. Social media such as Twitter have emerged as a new data source for disaster management and flood mapping. Using the 2015 South Carolina floods as the study case, this paper introduces a novel approach to mapping the flood in near real time by leveraging Twitter data in geospatial processes. Specifically, in this study, we first analyzed the spatiotemporal patterns of flood-related tweets using quantitative methods to better understand how Twitter activity is related to flood phenomena. Then, a kernel-based flood mapping model was developed to map the flooding possibility for the study area based on the water height points derived from tweets and stream gauges. The identified patterns of Twitter activity were used to assign the weights of flood model parameters. The feasibility and accuracy of the model was evaluated by comparing the model output with official inundation maps. Results show that the proposed approach could provide a consistent and comparable estimation of the flood situation in near real time, which is essential for improving the situational awareness during a flooding event to support decision-making.     

A geometric-based approach for road matching on multi-scale datasets using a genetic algorithm

Object matching is used in various applications including conflation, data quality assessment, updating, and multi-scale analysis. The objective of matching is to identify objects referring to the same entity. This article aims to present an optimization-based linear object-matching approach in multi-scale, multi-source datasets. By taking into account geometric criteria, the proposed approach uses real coded genetic algorithm (RCGA) and sensitivity analysis to identify corresponding objects. Moreover, in this approach, any initial dependency on empirical parameters such as buffer distance, threshold of spatial similarity degree, and weights of criteria is eliminated and, instead, the optimal values for these parameters are calculated for each dataset. Volunteered geographical information (VGI) and authoritative data with different scales and sources were used to assess the efficiency of the proposed approach. According to the results, in addition to an efficient performance in various datasets, the proposed approach was able to appropriately identify the corresponding objects in these datasets by achieving higher F-Score.     

Design principles for origin-destination flow maps

Origin-destination flow maps are often difficult to read due to overlapping flows. Cartographers have developed design principles in manual cartography for origin-destination flow maps to reduce overlaps and increase readability. These design principles are identified and documented using a quantitative content analysis of 97 geographic origin-destination flow maps without branching or merging flows. The effectiveness of selected design principles is verified in a user study with 215 participants. Findings show that (a) curved flows are more effective than straight flows, (b) arrows indicate direction more effectively than tapered line widths, and (c) flows between nodes are more effective than flows between areas. These findings, combined with results from user studies in graph drawing, conclude that effective and efficient origin-destination flow maps should be designed according to the following design principles: overlaps between flows are minimized; symmetric flows are preferred to asymmetric flows; longer flows are curved more than shorter or peripheral flows; acute angles between crossing flows are avoided; sharp bends in flow lines are avoided; flows do not pass under unconnected nodes; flows are radially distributed around nodes; flow direction is indicated with arrowheads; and flow width is scaled with represented quantity.     

冲击地压关键层远程区域水力压裂防治技术

针对我国目前冲击地压防治工程人员身处冲击危险区域,无法实现区域先行、超前治理的局面,论文提出了矿井冲击地压关键层远程钻孔水力压裂防治技术。分析了我国冲击地压矿井的地质条件和近几年重大冲击地压灾害的特点,认为华北石炭—二叠系煤田和侏罗系煤田很多冲击地压煤矿煤层上覆地层,普遍发育厚层坚硬的砂岩关键层,能量的释放符合冲击地压形成的“3因素”理论。经论证,关键层脆性强,硬度大,易于压裂,利用水力压裂法解除地应力是合适的;井下长钻孔、地面深孔和地面导斜钻孔的施工技术和钻孔水力压裂技术已成熟,实现远程钻孔水力压裂区域性的防治冲击地压是可行的。工业性试验显示,井下长钻孔顺层分段水力压裂长度可达800 m,水压可达40 MPa,裂缝半径为40 m;地面垂直钻孔分段压裂深度可达3000 m,压裂段高>100 m,压力达80 MPa,裂缝半径为100~200 m;地面导斜钻孔水平顺层段长度达1000 m,压力达80 MPa,裂缝半径为100~150 m;压裂前后煤体应力或支架压力的检测数据对比显示,压裂后的应力较压裂前降低了10 MPa以上,满足区域治理的要求,钻孔远程水力压裂在防治冲击地压上较传统方法具有显著超前优势、区域优势、效率优势、安全优势和环保优势,可以做到冲击地压防治区段的无人化,满足区域先行、超前治理的国家要求。     

基于优化经验模态分解和聚类分析的滑坡位移智能预测研究

针对三峡库区"阶跃式"滑坡的变形特征,提出了一种新的滑坡位移预测方法。以白水河滑坡ZG118和XD-01监测点位移数据为例,采用基于软筛分停止准则的经验模态分解(SSSC-EMD)将累计位移-时间曲线和影响因子时间序列自适应地分解为多个固有模态函数(IMF),并采用K均值(K-Means)聚类法对其进行聚类累加,得到有物理含义的位移分量(趋势性位移、周期性位移以及随机性位移)和影响因子分量(高频影响因子和低频影响因子)。使用最小二乘法对趋势性位移进行拟合预测;采用果蝇优化-最小二乘支持向量机(FOA-LSSVM)模型对周期性位移和随机性位移进行预测。将各位移分量预测值进行叠加处理,实现滑坡累计位移的预测。研究结果表明,所提出的(SSSC-EMD)-K-Means-(FOA-LSSVM)模型能够预测"阶跃式"滑坡的位移变化规律,且预测精度高于传统的支持向量机回归(SVR)、最小二乘支持向量机(LSSVM)模型;并通过改变训练集长度,进行单因素分析,发现其与预测精度之间呈正相关关系。     

南秦岭柞水—山阳矿集区金铜矿床成矿规律与找矿方向

南秦岭柞水—山阳矿集区地质构造和岩浆活动强烈,矿床(点)成群成带分布,成矿条件良好。在长期找矿实践、成矿地质背景分析和典型矿床解剖的基础上,综合研究认为,区内金矿主要受EW向断裂或EW向韧-脆性剪切带与NE向张扭性叠加构造控制,寒武系水沟口组、泥盆系星红铺组与大枫沟组是金的赋矿地层。金矿体呈近EW向大致等间距展布,单个矿体在延伸方向呈透镜状、哑铃状、囊状等,具尖灭再现特征,构造叠加部位矿体厚大、品位较高。区内金矿床类型多为中-低温热液型、远成低温热液型,成矿时代为印支—燕山期。夏家店等已知金矿床深部及外围、区域断裂旁侧次级近EW向与NNE向断裂交汇部位、构造转折端、构造虚脱部位等是寻找金矿的有利靶区。铜矿分布于山阳—凤镇大断裂两侧,成矿类型以斑岩型-矽卡岩型为主,构造热液改造型、隐爆角砾岩型次之。斑岩型-矽卡岩型铜(钼)矿受燕山期构造-岩浆活动控制,赋存于燕山期斑岩体与围岩接触带内;矿体产状多受岩体与围岩接触面控制,呈似层状、透镜状产出。燕山期中酸性小岩体及其与围岩的接触部位、东西向三级断裂带附近是寻找铜(钼)矿的首选靶区。本次研究建立了柞水—山阳矿集区金铜矿床区域成矿模式,总结了找矿标志,通过成矿规律、成矿作用及物探、化探、遥感异常特征系统分析,认为区内找矿潜力巨大,并提出了3片金铜(钼)成矿远景区,指出下一步的找矿方向。     

金沙江白格滑坡残留体稳定性分析与防治对策

金沙江白格滑坡在经历了2018年10月和11月的2次滑动堵江后,在其后缘仍存在K1、K2和K3等3处规模较大的残留崩滑体,并有再次失稳堵江的可能。目前关于残留体稳定性的研究还存在较大争议,多从影响因素及成因机制等方面进行定性分析,其结果依赖于评价者的经验,差异较大。在野外调查的基础上,针对白格滑坡所在区工程地质条件及其残留体变形特征,选取坡高、坡度、坡面形态、临空面、地下水出露、裂缝发育和变形等7个因素作为评价因子,基于模糊综合评判模型,运用层次分析法对白格滑坡残留体进行分区稳定性评价,并提出相应的防治对策。评价结果表明:K1与K2残留体稳定性较差;K3残留体基本稳定,与实际调查状况较吻合。研究结果可为同类型滑坡的评价与防治提供参考。