数字地震观测中由台风产生的震颤信号分析

本文的工作源于我们在以宽频数字地震计和倾斜、重力仪开展对"慢地震"、"前驱波"等信号连续观测和分析的过程中,观测到不少异常的波动信号.在探讨这些异常信号的产生原因的研究中,发现其中一部分由热带气旋(台风)产生.     

浅谈阿舍勒黄铁矿型多金属矿的垂直分带

阿舍勒黄铁型多金属矿床位于阿尔泰地槽褶皱系的中泥盆统安山质—英安质火山—沉积岩中.矿体充填在火山管道内或火山口近侧,主矿体隐伏地下.矿化元素有铁、铜、铅、锌、金、银、硫、钡等,伴生有锗、镓、铟、硒、镉、铋等.矿体上部形态复杂并有分枝,向深部连成一体,是一个向北东侧伏的筒状体.矿体自上而下具垂宜分带,依次为:重晶石—硅化带;黄铁矿—多金属带;黄铁矿—铜、锌带等…     

河北秦皇岛斑鬣狗巢穴(灵仙洞)及斑鬣狗的集群死亡与埋藏

河北省秦皇岛灵仙洞发现了一批最后斑鬣狗化石,标本达上千件,至少代表了30个不同个体,包括3具骨架(其中骨架Ⅰ是世界上迄今所发现最完整的1具),还发现了一些其他哺乳动物化石,共计26属27种.根据动物群组成、地质地貌以及堆积物的综合分析判断,它的时代可能属于中更新世晚期至晚更新世早期.动物群的生态组合反映当时处于一个温热偏干、半封闭或开阔的山间草原而周边山上有树林的生态环境.标本(尤其是完整骨架)的保存为典型的原地埋藏,死后未受到包括斑鬣狗自身在内的动物干扰和破坏.斑鬣狗在动物群中占绝对优势以及幼年个体和粪化石的发现,表明灵仙洞是一处斑鬣狗族群的巢穴.与其他斑鬣狗巢穴不同的是:斑鬣狗的猎物稀少,鲜见斑鬣狗的活动痕迹,尤其是幼年斑鬣狗啃咬形成的特定产物“nibbling sticks”,这说明灵仙洞既非用于猎物遗骸的储藏,也非用于幼崽的抚养,而是一处共用巢穴,同时也表明灵仙洞的骨骼聚集与埋藏有着特定的成因和机理.     

矿物标型六性及其在胶东金矿中的应用

目前矿物标型研究和应用已进入一个新的阶段。作者从哲学的高度,把国内外矿物标型特征的分散研究加以集中概括和总结,提出了“矿物标型六性”的普遍规律,即普遍性、特殊性、变化性、相应性、继承性和分带性,对矿物标型特征研究具重要的指导意义。这些规律在胶东金矿中得到广泛应用,并已取得良好效果。     

河流深槽沉积体与油气的关系——以辽河坳陷大25井区为例

河流深槽沉积体是河流沉积的一种特殊沉积体。辽河坳陷第三纪断裂活动强烈，火山岩广泛分布，形成了独特的地貌条件，具备形成河流深槽沉积体的地质条件。本文以辽河坳陷东部凹陷大２５井区为例，对河流深槽沉积体的成因及特征进行探讨，证实了大２５井区巨厚砂砾岩沉积是河流在火山岩古地形的限制下发生急转弯，在其变曲河段的深槽中沉积的深槽沉积体。该沉积体中发育良好的储集空间，有利于油气储集。该类储集体的发现，丰富了辽河坳陷的储层类型，为油气勘探提供了新的领域。     

对矿物包裹体溶液性质的新认识——兼论含矿溶液是酸性溶液的地质证据

对金属矿床成矿溶液的性质 ,特别是 pH值 (酸碱度 )的确定 ,是认识含矿溶液的成因、成矿条件和成矿机理的关键。目前对成矿溶液性质的研究主要局限在对围岩蚀变矿物包裹体的测定方面 ,并得出近中性热卤水成矿的结论。作者认为 ,多数围岩蚀变矿物的包裹体溶液不能代表原成矿溶液的性质 ,“近中性的热卤水成矿”的认识有误 ,应是酸性水形成的含矿溶液成矿 ,并从矿物包裹体溶液的特征、Roedder的高金属含量的矿物包裹体溶液的发现、氢氧同位素资料、矿物包裹体中高卤水溶液的起源以及成矿溶液的演化机理等方面论述了酸性金属含矿溶液的成因及成矿演化过程。     

有色示踪剂模拟槽实验图像分析法

图像分析法是处理有色示踪剂模拟槽实验结果的常用方法之一。本文以食用亮蓝为示踪剂,从污染物的检测精度和污染羽描绘的准确度两个方面将图像分析法与传统取样法进行对比,并利用Matlab编程对模拟槽内的污染物贮存质量进行定量计算。结果表明,与传统取样法结果相比：图像分析法的检测精度可提高1个数量级;污染羽的描绘准确度至少可提高3%左右,在实验所设置的非均质条件下可提高17%左右。利用自行编制的Matlab程序对本实验模拟槽内贮存亮蓝质量进行计算可得,当剖分格数为3 700²（1 369万）时,亮蓝贮存质量的计算值最接近实测值,最小误差仅为0.5%。综合来讲,图像分析法是一种准确度高、空间分辨率高的信息采集和处理手段,可实现对非均质地层中有色示踪剂运移过程更为精细的描述。     

怎样欣赏山水风光

大自然造化的山水风光对人们具有极大的精神感召力, 而人们要欣赏自然风光的经常途径是旅游。因此, 山水风光已经成为发展国民经济的重要自然资源。旅游地学将地质学、地理学的理论与研究方法运用于旅游资源的调查与开发, 对发展国民经济有重要的理论和经济意义。欣赏山水风光首先要观察山水风光内在的成景因素, 同时也要探索山水与周围环境和社会环境的相互关系和相互作用。前者指山水的自然形态、线条、体积、数量、音响、色彩和动势以及植被; 后者主要指相适应的建筑, 有时还包括气象特征和人文特色。它们共同谓之风景的构成因素。     

Copula-based risk evaluation of droughts across the Pearl River basin, China

Daily precipitation data for the period of 1960–2005 from 42 precipitation gauging stations in the Pearl River basin were analyzed using the Mann–Kendall trend test and copula functions. The standardized precipitation index method was used to define drought episodes. Primary and secondary return periods were also analyzed to evaluate drought risks in the Pearl River basin as a whole. Results indicated that: (1) in general, the drought tendency was not significant at a 95 % confidence level. However, significant drought trends could be found in November, December, and January and significant wetting trends in June and July. The drought severity and drought durations were not significant at most of the precipitation stations across the Pearl River basin; (2) in terms of drought risk, higher drought risk could be observed in the lower Pearl River basin and lower drought risk in the upper Pearl River basin. Higher risk of droughts of longer durations was always corresponding to the higher risk of droughts with higher drought severity, which poses an increasing challenge for drought management and water resources management. When drought episodes with higher drought severity occurred in the Pearl River basin, the regions covered by higher risk of drought events were larger, which may challenge the water supply in the lower Pearl River basin. As for secondary return periods, results of this study indicated that secondary return periods might provide a more robust evaluation of drought risk. This study should be of merit for water resources management in the Pearl River basin, particularly the lower Pearl River basin, and can also act as a case study for determining regional response to drought changes as a result of global climate changes.     

Incorporating uncertainty of future sea-level rise estimates into vulnerability assessment: A case study in Kahului, Maui

Accurate sea-level rise (SLR) vulnerability assessments are essential in developing effective management strategies for coastal systems at risk. In this study, we evaluate the effect of combining vertical uncertainties in Light Detection and Ranging (LiDAR) elevation data, datum transformation and future SLR estimates on estimating potential land area and land cover loss, and whether including uncertainty in future SLR estimates has implications for adaptation decisions in Kahului, Maui. Monte Carlo simulation is used to propagate probability distributions through our inundation model, and the output probability surfaces are generalized as areas of high and low probability of inundation. Our results show that considering uncertainty in just LiDAR and transformation overestimates vulnerable land area by about 3 % for the high probability threshold, resulting in conservative adaptation decisions, and underestimates vulnerable land area by about 14 % for the low probability threshold, resulting in less reliable adaptation decisions for Kahului. Not considering uncertainty in future SLR estimates in addition to LiDAR and transformation has variable effect on SLR adaptation decisions depending on the land cover category and how the high and low probability thresholds are defined. Monte Carlo simulation is a valuable approach to SLR vulnerability assessments because errors are not required to follow a Gaussian distribution.