鲁东地区地热资源分布规律及勘查定井方法探讨

鲁东地区具有丰富的地热资源,在地热勘查、开发和利用中,对地热勘查定井方法的选择至关重要。在介绍鲁东地区地热资源分布特征和赋存规律的基础上,结合鲁东地区地热勘查及施工的经验和教训,针对不同的地热地质条件,分别采用天然电场选频、瞬变电磁法(TEM)测深、可控源音频大地电磁测深(CSAMT)、电磁测深和自然放射能测深等方法对鲁东地区典型地热勘查区进行地热井位确定,并对勘查定井方法效果进行对比。结果表明: 鲁东地热资源主要分布在NE向、NNE向及NW向断裂交汇带附近,为断裂控制的深循环对流型带状地热资源,热储分布主要受断裂控制,勘查定井宜选择在2条或多条断裂的交汇处; 天然电场选频、瞬变电磁法测深对于浅部地层和断裂具有较好的反映; 可控源音频大地电磁测深对断裂深部发育特征反映明显,为鲁东地热勘查定井较适宜的方法; 地热勘查定井宜采用2种以上的勘查方法,避免在物探施工过程中受外在因素的影响。     

高效液相色谱-电感耦合等离子体质谱联用检测土壤中的无机硒形态

土壤样品中亚硒酸盐Se(Ⅳ)和硒酸盐Se(Ⅵ)的形态分析中,提取剂的选择和检测方法是技术的关键。以往的提取剂容易导致硒形态发生转变或无法同时提取Se(Ⅳ)和Se(Ⅵ),常用的氢化物发生原子荧光光谱法无法直接测定Se(Ⅵ),而是通过差减法得出Se(Ⅵ)含量。本文对比了不同提取剂的提取能力,确定使用0. 1 mol/L氢氧化钠溶液作为提取剂,在55℃超声萃取土壤样品30 min,提取液经高效液相色谱分离,电感耦合等离子体质谱检测,建立了土壤中Se(Ⅳ)和Se(Ⅵ)的形态分析方法。采用Hamilton PRP X-100色谱柱,以6 mmol/L柠檬酸为流动相,pH=5. 5,在8 min内可完全分离Se(Ⅳ)和Se(Ⅵ),两者的检出限分别为0. 15μg/L、0. 16μg/L,线性相关系数(r~2)均大于0. 999。以土壤为基体进行加标回收试验,Se(Ⅳ)和Se(Ⅵ)的回收率在84. 2%～95. 8%之间,相对标准偏差为1. 4%～5. 3%(n=6)。该方法简单快速,具有良好的精密度和准确度,适用于土壤中无机硒的形态分析。     

丹阳天王寺边坡稳定性评价及防治措施

针对苏南地区典型露采边坡的地层岩性及地质构造特点,以极限平衡理论为基础,运用GeoStudio软件中的SLOPE/W模块和VADOSE/W模块计算分析江苏丹阳天王寺边坡在天然工况、暴雨工况及地震工况下的稳定性。结果表明:天然工况下,潜在滑动面分布范围最小,稳定性最高,存在滑动的危险性;暴雨工况下,潜在滑动面分布范围有所增大,稳定性降低,边坡滑动的可能性较大;地震工况下,潜在滑动面分布范围最广,稳定性最低,边坡滑动的可能性很大。基于上述结果,提出防治措施。     

内蒙古翁公敖包航磁异常的推断与解释

文章对内蒙古四子王旗—土默特右旗中北部近年发现的翁公敖包航磁异常进行推断与解释,在对找矿有望的航磁异常进行筛选后,对翁公敖包航磁异常进行了野外地质-地球物理查证,确定异常为铁矿所致;采用向上延拓、垂向导数、斜导数及小波变换等方法对航磁异常进行数据转换处理,以获取铁矿体的横向及纵向分布信息,取得了较好的效果。     

Comparative analysis of significant wave height between a new Southern Ocean buoy and satellite altimeter

中国于2019年第35次南极考察中,首次在南大洋布放了锚系实时综合观测浮标(西风带海洋环境监测浮标,WEMB),为深入了解此海区的海洋环境变化提供了宝贵资料.国家海洋技术中心WEMB研究团队基于AVISO公开发布的多颗卫星高度计L3产品,通过数据配对,误差统计和最小二乘线性拟合等方法,对西风带海洋环境监测浮标的有效波高数据误差进行了分析与校正.校正后的浮标有效波高统计显示西风带常年处于大浪以上海况,观测期间内57％处于巨浪海况,并且伴随有高度相关的大风天气.     

A comparative analysis of the NDVIg and NDVI3g in monitoring vegetation phenology changes in the Northern Hemisphere

Phenology is a sensitive and critical feature of vegetation and is a good indicator for climate change studies. The global inventory modelling and mapping studies (GIMMS) normalized difference vegetation index (NDVI) has been the most widely used data source for monitoring of the vegetation dynamics over large geographical areas in the past two decades. With the release of the third version of the NDVI (GIMMS NDVI3g) recently, it is important to compare the NDVI3g data with those of the previous version (NDVIg) to link existing studies with future applications of the NDVI3g in monitoring vegetation phenology. In this study, the three most popular satellite start of vegetation growing season (SOS) extraction methods were used, and the differences between SOSg and SOS3g arising from the methods were explored. The amplitude and the peak values of the NDVI3g are higher than those of the NDVIg curve, which indicated that the SOS derived from the NDVIg (SOSg) was significantly later than that derived from the NDVI3g (SOS3g) based on all the methods, for the whole northern hemisphere. In addition, SOSg and SOS3g both showed an advancing trend during 1982–2006, but that trend was more significant with SOSg than with SOS3g in the results from all three methods. In summary, the difference between SOSg and SOS3g (in the multi-year mean SOS, SOS change slope and the turning point in the time series) varied among the methods and was partly related to latitude. For the multi-year mean SOS, the difference increased with latitude intervals in the low latitudes (0–30°N) and decreased in the mid- and high-latitude intervals. The GIMMS NDVI3g data-sets seemed more sensitive than the GIMMS NDVIg in detecting information about the ground, and the SOS3g data were better correlated both with the in situ observations and the SOS derived from the Moderate Resolution Imaging Spectroradiometer NDVI. For the northern hemisphere, previous satellite measures (SOS derived from GIMMS NDVIg) may have overestimated the advancing trend of the SOS by an average of 0.032 d yr^–1.     

针对星敏感器非线性畸变的非参数化在轨检校方法

为了对星敏感器的非线性畸变进行在轨检校,本文提出了一种非参数化的检校方法,该方法以B样条格网的形式表达非线性畸变,不需要预先估计一个参数化的畸变模型,从而可以处理任何形式的畸变。针对星敏感器不同模式畸变的仿真实验表明,本文提出的方法有效、可靠并且具有鲁棒性。     

基于样条函数的海岸带变化监测影像局部配准优势分析

海岸带变化监测以遥感影像为矢量更新依据。在实际应用中,由于数据源复杂,全色影像与底图套合、多光谱影像与全色配准容易出现局部超限,为项目生产带来一定的难度。本文主要介绍利用样条函数进行影像的局部配准以满足项目精度要求。     

豫西汝阳群、洛峪群碎屑锆石年代学特征及其地质意义

华北克拉通南缘"豫陕裂陷槽"发育大量中—新元古代地层,其中汝阳群和洛峪群分布于渑池—确山地层小区,其形成时代一直存有争议.本文针对汝阳群和洛峪群沉积岩进行了系统的碎屑锆石年代学研究工作,结合地层发育和岩石组合分析,为建立华北克拉通南缘中—新元古代地层框架提供依据.根据云梦山组下部碎屑锆石中获得年轻锆石年龄平均值1723.6 Ma,结合前人从洛峪群凝灰岩夹层中获得的年代学资料(1611±8 Ma、1640±16 Ma、1638±9 Ma、1634±10 Ma),将汝阳群-洛峪群的沉积时限限定在1720～1600 Ma之间.本文所采集的云梦山组、白草坪组和崔庄组样品中碎屑锆石207Pb/206Pb年龄分别在2657～1739 Ma、2712～1780 Ma和2654～1819 Ma之间,说明三个组沉积物质主要来源于古元古代地质体,部分为新太古代地质体.鲁山地区发育的新太古代—古元古代的太华杂岩,登封地区发育的新太古代登封群以及古元古代嵩山群和花岗质岩石等,均可为中—新元古代沉积岩提供物源.豫西地区汝阳群-洛峪群碎屑锆石中～2.7 Ga、～2.5 Ga、2.1～2.0 Ga和1.85～1.8 Ga的年龄谱峰值分别对应华北克拉通早前寒武纪发生地壳生长、克拉通化、裂谷和造山等重要地质事件.越来越多资料显示华北克拉通在2.2～2.0Ga时期存在强烈的岩浆活动,豫西地区～2.1 Ga的岩浆作用也逐渐被识别出来.     

Enrichment Patterns and New Discovery of Deep Lacustrine Shale Oil in the Upper Cretaceous Qingshankou Formation,Songliao Basin,NE China

正Objective The Songliao Basin is located in northeastern China. The Upper Cretaceous Qingshankou Formation(Fm.)(K2 qn), Yaojia Fm.(K2 y), and Nenjiang Fm.(K2 n) were deposited in its depression. The sediments are mainly continental clastic rocks. The first member of the Qingshankou Fm.(K2 qn1) in the southern Songliao Basin mainly comprises semi-deep to deep lacustrine shale of large thickness, generally 30,100 m, with wide distribution; the thickness of the shale has an average thickness of 70 m.