基于多源遥感影像的长春市城市建成区提取

夜光遥感影像记录的城市灯光与人类活动密切相关,已广泛应用于城市信息提取。珞珈一号作为新一代夜光遥感数据源,比以往的夜光数据具有更高的空间分辨率和光谱分辨率,可以更清晰地表达城市建成区范围和内部结构。本文利用珞珈一号夜光遥感影像,通过人类居住指数（human settlement index, HSI）、植被覆盖和建筑共同校正的城市夜光指数（vegetation and build adjusted nighttime light urban index, VBANUI）及支持向量机（support vector machine, SVM）监督分类3种方法对长春市城市建成区进行提取,并与利用NPP/VIIRS（suomi national polar-orbiting partnership/visible infrared imaging radiometer suite）夜光遥感影像、采用同样方法得到的结果对比。结果显示：本文提出的VBANUI提高了传统植被覆盖校正的城市夜光指数（vegetation adjusted nighttime light urban index, VANUI）的提取精度,使用珞珈一号夜光遥感影像通过VBANUI提取的城市建成区结果最优,其Kappa系数为0.80,总体分类精度为90.74%;使用珞珈一号和NPP/VIIRS夜光遥感影像通过HSI按最佳阈值提取城市建成区的Kappa系数分别为0.75和0.72,总体分类精度分别为88.27%和86.54%;复合数据的SVM监督分类法中Landsat-NDBI、Landsat-NDBI-VIIRS、Landsat-NDBI-LJ和Landsat-NDBI-LJlog的Kappa系数分别为0.602、0.627、0.643和0.681,总体分类精度分别为81.11%、81.52%、82.25%和84.48%。研究结果表明：3种提取方法下,均为使用珞珈一号夜光遥感影像的结果优于使用NPP/VIIRS夜光遥感影像的结果,证明相比于NPP/VIIRS夜光遥感影像,珞珈一号夜光遥感影像更适用于城市尺度的建成区范围提取。     

地铁施工对济南白泉泉群流量的影响

为研究地铁建设对济南白泉泉群的影响，在综合分析白泉泉域地质、水文地质条件的基础上，假定研究区岩溶强径流带位置及水力性质，利用FEFLOW软件建立地下水流数值模型。以规划地铁M1号线为研究对象，分析了济南东站、梁王站、梁王东站分别施工及3个站同时施工4种情景下，采用施工降水或施工降水+人工回灌两种施工方式对白泉泉群流量的影响。结果表明：单独采用施工降水的施工方式使得白泉泉群流量衰减，其中3个站同时施工对泉流量的影响最大，泉流量最大衰减达5.48%；各站分别施工时，济南东站对泉流量影响最大，泉流量较未施工时减少了0.043×10⁴ m³/d。采用施工降水+人工回灌的施工方式，能够有效缓解泉流量的衰减，各车站施工时的泉流量衰减由仅施工降水时的2.26%~5.48%降低至0.08%~1.21%。岩溶强径流带有利于地下水形成优势径流，促进白泉泉群补给，一定程度上缓解因地铁施工引起的泉流量衰减。     

寒区渠基黏土热参数最优概率分布

为分析寒区渠基黏土热参数的随机分布特征及概率分布模型,以寒区渠基黏土的导热系数为样本,结合经典分布拟合法、多项式逼近法、最大熵法和正态信息扩散法,分别对寒区渠基黏土热参数的概率分布规律进行了研究。首先通过分析热参数的离散性,并比较概率分布曲线、拟合检验值和累计概率分布值,对不同方法描述热参数随机性的优劣进行了评价;然后,基于寒区渠基黏土热学参数对温度的敏感性,提出了一个可以达到理想拟合精度的寒区渠基黏土热参数概率推断的区间取值标准。研究结果表明：寒区渠基黏土的热参数具有随机变量的特征;正态信息扩散法可以描述热参数样本的随机波动性;在4种方法中,正态信息扩散法的拟合精度最高。使用3.5σ法,将[μ-3.5σ,μ+3.5σ]（μ为随机变量的均值,σ为标准差）作为概率函数推断时的取值区间,同时考虑偏度的影响,可使得累计概率值达到1.000 0的精度,能够较准确地推断热参数的概率分布函数。     

基于欧拉反褶积法的无人机航磁找矿应用

无人机航磁测量以其高效、安全、低成本等优点逐渐应用到中小面积大比例尺资源勘探领域。本文针对安徽芜湖市三山区22 km²区域构造刻画和找矿前景预测,开展1∶20 000高精度无人机航磁测量工作;推导了欧拉反演求解过程,并分析对比构造指数选取,使用构造指数为0的欧拉反褶积对航磁数据进行反演求解,获得地下磁异常体构造边界解集信息;将其应用到研究区域航磁数据反演,根据反演得到的边界位置和深度信息圈定了18处断裂,并结合异常特征给出了8.7 km²岩浆岩分布区,根据宁芜区域铁矿成矿特点,圈定岩浆分布区及边界为成矿详查区。     

新疆西准噶尔布龙果尔古油藏的发现及其石油地质意义

本文记述了首次在西准噶尔布龙果尔地区发现的古油藏基本地质情况,探讨古油藏产出的地质层位及时代归属,对古油藏油源问题进行了初步分析,在此基础上提出古油藏成藏预测模式.认为上古生界古油藏所在的和布克河组一段地质时代为晚泥盆世法门期,中生界古油藏产出层位为下侏罗统八道湾组;推断和布克河组古油藏油源可能来自中泥盆统呼吉尔斯特组...     

Late Silurian to Early Devonian Palynomorphs from Qujing, Yunnan, Southwest China

Well-preserved and diversified spores, cryptospores, and acritarchs have been recorded from a relatively continuous sequence that encompasses the Silurian–Devonian boundary in Qujing, Yunnan, southwest China. Four spore assemblage zones from Late Silurian to Early Devonian in age are proposed based on the first appearance datum (FAD) of characteristic spore species. In ascending stratigraphic order, they are Ambitisporites dilutus–Apiculiretusispora synorea (DS; Late Ludfordian to Early Pridoli), Synorisporites verrucatus–Apiculiretusispora plicata (VP; Pridoli), Apiculiretusispora minuta–Leiotriletes ornatus (MO; Lochkovian), and Verrucosisporites polygonalis–Dibolisporites wetteldorfensis (PW; Pragian). The acritarch assemblage from the upper part of the Yulongsi Formation, the Xiaxishancun Formation, and the lower–middle parts of the Xitun Formation indicates an age of Late Silurian. Based on palynological evidence, the upper part of the Yulongsi Formation is considered Late Ludfordian to Early Pridoli in age; the Xiaxishancun Formation is believed to be Pridoli in age; the Xitun Formation is considered Late Pridoli to Early Lochkovian in age; the Guijiatun Formation is considered Lochkovian in age; and the Xujiachong Formation is Late Lochkovian to Pragian in age. The Silurian-Devonian boundary is recognized between the VP and the MO spore biozones, and occurs within the middle part of the Xitun Formation.     

Measurement and Analysis of Thermal Conductivity of Rocks in the Tarim Basin, Northwest China

: As a parameter that describes heat transmission properties of rocks, thermal conductivity is indispensable for studying the thermal regime of sedimentary basins, and retrieving high-quality data of thermal conductivity is the basis for geothermal related studies. The optical scanning method is used here to measure the thermal conductivity of 745 drill-core samples from the Tarim basin, the largest intermontane basin with abundant hydrocarbon potential in China, and water saturation correction is made for clastic rock samples that are of variable porosity. All the measured values, combined with previously published data in this area, are integrated to discuss the distribution characteristics and major controlling factors that affect the thermal conductivity of rocks in the basin. Our results show that the values of thermal conductivity of rocks generally range from 1.500 to 3.000 W/m·K with a mean of 2.304 W/m·K. Thermal conductivity differs considerably between lithological types: the value of a coal sample is found to be the lowest as being only 0.249 W/m·K, while the values for salt rock samples are the highest with a mean of 4.620 W/m·K. Additionally, it is also found that the thermal conductivity of the same or similar lithologic types shows considerable differences, suggesting that thermal conductivity cannot be used for distinguishing the rock types. The thermal conductivity values of mudstone and sandstone generally increase with increasing burial depth and geological age of the formation, reflecting the effect of porosity of rocks on thermal conductivity. In general, the mineral composition, fabric and porosity of rocks are the main factors that affect the thermal conductivity. The research also reveals that the obvious contrast in thermal conductivity of coal and salt rock with other common sedimentary rocks can induce subsurface temperature anomalies in the overlying and underlying formations, which can modify the thermal evolution and maturity of the source rocks concerned. This finding is very important for oil and gas resources assessment and exploration and needs further study in detail. The results reported here are representative of the latest and most complete dataset of thermal conductivity of rocks in the Tarim basin, and will provide a solid foundation for geothermal studies in future.     

新矿物南岭石的再研究

本文在原有湿法化学分析结果基础上对南岭石的矿物化学式做了重新计算,纠正了原化学式的错误,并对晶胞参数做了精确测定。经晶体结构测定,确认本矿物不仅是以(AsO₃)阴离子团的氧原子密堆积作为结构框架外,其中还出现了Fe-As成键的新特征,属于一种新结构类型的新矿物。红外光谱及穆斯堡尔谱分析测试显示了本矿物波谱学方面的特征。对矿物新的化学组成除采用电子探针、能谱手段以外,还运用SIMS离子探针证实了锂的确实存在。     

南海沉积物中蒙脱石的成因探讨

南海粘土沉积学的以往研究都认为粘土矿物主要是陆源碎屑提供,包括蒙脱石在内的粘土矿物都是在周边流域经风化作用形成后输入到南海,再经不同洋流的搬运作用而发生沉积,忽略粘土矿物在海底的自生成岩作用及海底火山物质原地风化作用的影响.然而.南海表层及晚第四纪沉积物中蒙脱石含量过高(达到30%～40%以上),似乎同周边流域沉积物的...     

西藏波龙斑岩铜金矿床的Re-Os同位素年龄及其地质意义

波龙斑岩铜金矿紧邻多不杂矿床,是多龙矿集区内新发现的一个超大型矿床。波龙矿床早期有两次成矿花岗闪长斑岩侵位,随后较晚期花岗斑岩侵位;地表广泛分布绢英岩化蚀变,深部发育钾化。本文对采于波龙斑岩型铜金矿床内石英-辉钼矿脉中的4件辉钼矿样品进行了Re-Os同位素测试,获得等时线年龄为119.4±1.3Ma (MSWD=0.63, n=4)。此年龄代表了波龙矿床的成矿年龄,与多不杂斑岩型铜金矿床的成矿年龄一致。波龙和多不杂斑岩型铜金矿床紧邻,并具有一致的成矿年龄,可能表明两个矿床的成矿受控于相同的构造-岩浆-成矿事件;斑岩铜矿具有成群分布的特征,波龙和多不杂斑岩铜金矿床的发现也暗示多龙矿集区具有找到其他大型斑岩铜金矿的潜力。