东海冲绳海槽陆坡天然气水合物的地震学研究

本文通过对东海973 航次在冲绳海槽取得的多道地震数据进行有针对性的特殊处理,形成一套针对天然气水合物地震学研究行之有效的处理思路,提高速度分析的精度和分辨能力,压制浅层多次波,资料在保持一定信噪比的基础上尽可能的提高分辨率,相对振幅处理以及用于AVO分析的预处理等.在此基础上对天然气水合物进行识别和预测,我们发现在冲绳海槽南部西侧槽坡附近以及海槽内部发育有一系列泥底辟构造,在这些底辟构造的顶部明显存在与天然气水合物赋存相关的地球物理特征,如似海底反射层（BSR）、与海底反射同相轴极性相反,BSR上方的振幅空白区以及BSR上下的速度异常.从该区域的地质背景资料分析,冲绳海槽不仅具有很高的沉积速率并且海槽西侧的断层活跃,提供了富含有机质的物源以及用于天然气运移的通道,有利于天然气水合物的形成.     

四川丹巴穹状变质地体

四川西部丹巴地区最为引人注目的地质构造是穹状变质地体的发育。华北、扬子和羌塘三个板块之间的南北向和东西向双向收缩,引起区内发育了大小不等的十几个穹状变质地体,自北而南有马奈、春牛场、丹巴、公差、格宗等变质穹隆。多数穹隆的核部出露的是前寒武纪的片麻岩和混合岩,例如春牛场侵入体。其中的片麻岩原岩、黑云母和角闪石质片麻岩均属本区最老的岩石。它不整合于志留纪地层之下,年代学研究证明其年代属新元古代(大约865~785Ma)。混合岩从形态上说,多为条带状,偶见角砾状的角闪石质混合岩。但是也有不少穹隆,核部是花岗岩类。岩石化学研究证明,它们大多属于S型花岗岩,仅个别为I型。穹状变质地体的外围变质带可分三类:(1)巴罗带型区域递增变质带,有的显示变质带的倒转;(2)巴肯型变质带;(3)低级区域变质带,多数是中压绿片岩相。巴罗带变质的泥质岩,多数变晶矿物如黑云母、十字石、石榴石均具早期低级变质矿物的定向包裹物,显示明显叠加变质的信息。变质泥质岩的∑REE=(195~274)×10-6,(La/Yb)n=0·811~1·917。稀土配分曲线和微量元素蛛网图具Nb、P、Ti负异常,显示大陆地壳的特征,是陆缘碎屑物质区域变质产物。巴肯带出露于丹巴以北,主要变质泥质岩是夕线石片麻岩类,常见铁铝榴石而少见堇青石,说明原岩富铁贫镁,局部出现锌铁尖晶石。由北侧的巴肯带到巴罗型变质的公差穹隆到南部的格宗穹隆变质带是从高温到低温连续变化的。因之,我们倾向于认为松潘—甘孜造山带的东南缘是一个规模较大的、呈NE向分布的低—中压区域变质带,总体是一条热轴,垂直走向,向东南温度逐步降低。据前人同位素年龄资料:M1巴罗型区域变质发生于约210~205Ma,马奈花岗岩U-Pb锆石年龄为(197±6)Ma。M2巴肯型变质与岩体侵入有关,年龄约为164Ma。M3喜马拉雅期重结晶的黑云母年龄约为30Ma。总之,丹巴变质穹隆的形成是青藏高原东北部地质构造演化中重要的一幕,其主要活动期起于印支晚期最后结束于喜马拉雅期的隆升和挤出。依据低压高温变质带的空间分布,推测本区印支末期存在一NE向的热轴,同时也是S型花岗岩体的出露区。至于木里一带穹隆与丹巴穹隆在变质程度上的差异,应当归因于印支晚期的陆壳增厚过程中,北倾南倒逆冲剪切造成区域热流的不均一性。也说明了青藏高原东北缘在喜山期隆升之前具有复杂的构造变质历史。     

基于城市地表温度与归一化植被指数对北京市建成区热环境分析

针对研究城市热环境的过程中,利用归一化植被指数(NDVI)进行地表温度(LST)反演,再将LST和NDVI结合说明地物变迁与城市热环境的影响的现状,利用Landsat-8多时相遥感影像、高分辨率影像、公开GIS等多源数据,通过人工交互判读和量化统计分析,实现了2013—2017年北京建成区NDVI变化及其对地表热环境影响分析,再对分析结果进行差值拟合评价。对NDVI阈值分割按照大小为LC1、LC2、LC3、LC4,对LST分为高温区(TH)、常温区(TR)和低温区(TL)。结果表明,2013年至2017年:1)建成区的平均NDVI增加0.03,其中LC1增加1.0%,LC2减少11.6%,LC3区域减少1.7%,LC4区域增加12.3%。2)建成区平均LST增加2.55 K,TH百分比增加0.6%;TR百分比减少1.1%,TL百分比增加0.5%。3)NDVI相对增加,地表温度相对下降以及NDVI相对减少,地表温度相对上升占60%,NDVI相对下降,地表温度相对下降以及NDVI相对增加,地表温度相对上升的占40%。     

基于热红外图像的海面油膜面积的测算方法

针对现有油膜检测技术难以准确测算油膜面积且检测精度受天气条件影响大的问题,本文提出了一种基于热红外图像的海面油膜面积测算方法。采用波段为 8耀14 滋m 的红外热像仪获取海面油膜的热红外图像,对采集的油膜图像进行预处 理 （灰度化、中值滤波和锐化）;基于图像灰度分布特征分割油膜区域 （感兴趣区域,ROI）,采用形态学操作对 ROI 进行填充、腐蚀与膨胀,并对 ROI 进行数学表征;通过像素面积法计算 ROI 实际物理面积。实验结果表明：在不同的外界天气环境下 （如海浪、海风、海雾、不同光照等环境）,该方法对不同黏度的石油样品在海面形成的油膜均有良好的检测精度, ROI 面积计算平均误差为 3.77%。     

海底表层土导热系数变化规律的试验研究

基于热探针法原理,测试了在杭州湾以东陆架区取得的28个海底表层柱状样0.2、1.0和1.8 m处的导热系数,结合激光粒度分析结果,比较了研究区6种土导热系数的大小,发现含砂量大于10%的粗粒土拥有较大的导热系数。土质类型相同时,含水量和干密度对其导热系数影响显著。杭州湾沉积区、混合沉积区,陆架砂质沉积区表层土导热系数的平均值分别是:1.25、1.45 和1.46 W·m^-1·K^-1,呈现出由近岸向外海增大的趋势。而土样导热系数在垂向的变化表明:水深、埋深等空间分布因素对海洋土的热物性没有直接影响。     

辽东湾北部地区走滑构造特征与油气富集规律

辽东湾北部地区右行走滑构造特征较为典型,主要表现为:沿走滑断裂带发育雁行式伸展断裂;剖面上发育花状构造;走滑断裂沿走向呈“S”型或反“S”型波状弯曲;沿走滑断裂带断槽与断鼻构造相间分布。分析认为,渐新世晚期,辽东湾北部地区南北向拉张、东西向挤压的区域应力场控制了右行走滑构造的形成,断槽与断鼻构造相间分布是由于沿走滑断裂带局部应力场性质发生改变所致。右行走滑断裂的“S”型弯曲部位为增压弯部位,走滑断裂两侧断块在此汇聚,地层因应力集中而形成断鼻构造;右行走滑断裂的反“S”型弯曲部位为释拉张部位,走滑断裂两侧断块在此离散,地层因拉张而发生断陷形成断槽。受走滑构造所控制,油气沿走滑断层自断槽向断鼻方向运移、聚集而成藏。研究走滑构造发育特征,对于预测圈闭分布以和研究油气富集规律具有重要意义。     

全球气候变化下南海诸岛保护优先区识别分析

全球变化下,珊瑚礁保护区是保护生物多样性、增强珊瑚礁对气候变暖抵抗力的有效方式,而维持珊瑚礁弹性是其核心内容。针对珊瑚礁最具有威胁性的热压力因子,基于南海1982—2009年卫星观测海表面温度（SST）数据和CMIP5加拿大地球系统模式CanESM2模型预估的2006—2100年南海SST数据构建热压力强度模型,从维持珊瑚礁弹性的角度识别IPCC RCP 4.5和RCP 8.5情景下南海诸岛保护优先区。结果表明：RCP 4.5和RCP 8.5情景下13%左右的南海诸岛珊瑚礁识别为保护优先区。根据热压力强度与珊瑚抵抗力及避难所关系,西沙群岛七连屿和晋卿岛近年观测与未来预估的热压力强度均比较低,在保障其服务功能的基础上建议实施完全保护;东沙群岛东沙环礁和中沙环礁排洪滩近年观测急性热压力强度较高但未来预估热压力强度较低,建议实施50%禁止利用保护;中沙群岛黄岩岛近年观测和未来预估的急性热压力强度均比较低,建议实施50%多用途保护。南沙群岛有14%左右的珊瑚礁识别为保护优先区,根据其热压力强度可实施30%~100%禁止利用保护或30%~50%多用途保护。RCP 4.5和RCP 8.5情景下的南海诸岛保护优先区及保护对策,可为维持珊瑚礁生态弹性及应对全球气候变化提供重要的参考价值。     

Terrestrial heat flow and lithospheric thermal structure in the Chagan Depression of the Yingen-Ejinaqi Basin,north central China

The Chagan Depression in the Yingen-Ejinaqi Basin, located at the intersection of the Paleo-Asian Ocean and the Tethys Ocean domains is an important region to gain insights on terrestrial heat flow, lithospheric thermal structure and deep geodynamic processes. Here, we compute terrestrial heat flow values in the Chagan Depression using a large set of system steady-state temperature data from four representative wells and rock thermal conductivity. We also estimate the “thermal” lithospheric thickness, mantle heat flow, ratio of mantle heat flow to surface heat flow and Moho temperature to evaluate the regional tectonic framework and deep dynamics. The results show that the heat flow in the Chagan Depression ranges from 66.5 to 69.8 mW/m², with an average value of 68.3 ± 1.2 mW/m². The Chagan Depression is characterized by a thin “thermal” lithosphere, high mantle heat flow, and high Moho temperature, corresponding to the lithospheric thermal structure of “cold mantle and hot crust” type. We correlate the formation of the Yingen-Ejinaqi Basin to the Early Cretaceous and Cenozoic subduction of the western Pacific Plate and the Cenozoic multiple extrusions. Our results provide new insights into the thermal structure and dynamics of the lithospheric evolution in central China.     

The thermal maturity of sedimentary basins as revealed by magnetic mineralogy

The thermal evolution of sedimentary basins is usually constrained by maturity data, which is interpreted from Rock-Eval pyrolysis and vitrinite reflectance analytical results on field or boreholes samples. However, some thermal evolution models may be inaccurate due to the use of elevated maturities measured in samples collected within an undetected metamorphic contact aureole surrounding a magmatic intrusion. In this context, we investigate the maturity and magnetic mineralogy of 16 claystone samples from Disko-Svartenhuk Basin, part of the SE Baffin Bay volcanic margin. Samples were collected within thermal contact metamorphic aureoles near magma intrusions, as well as equivalent reference samples not affected by intrusions. Rock-Eval pyrolysis (T_max), and vitrinite reflectance (Ro) analysis were performed to assess the thermal maturity, which lies in the oil window when 435°C ≤ T_max ≤ 470°C and 0.6%–0.7% ≤ Ro ≤ 1.3%. In addition, we performed low- (<300K) and high-temperature (>300K) investigations of isothermal remanent magnetization to assess the magnetic mineralogy of the selected samples. The maturity results (0.37% ≤ Ro ≤ 2%, 22°C ≤ T_max ≤ 604°C) show a predominance of immature to early mature Type III organic matter, but do not reliably identify the contact aureole when compared to the reference samples. The magnetic assemblage of the immature samples consists of iron sulphide (greigite), goethite and oxidized or non-stoichiometric magnetite. The magnetic assemblage of the early mature to mature samples consists of stoichiometric magnetite and fine-grained pyrrhotite (<1 μm). These results document the disappearance of the iron sulphide (greigite) and increase in content of magnetite during normal burial. On the other hand, magnetite is interpreted to be the dominant magnetic mineral inside the contact aureole surrounding dyke/sill intrusions where palaeotemperatures indicate mature to over-mature state. Interestingly, the iron sulphide (greigite) is still detected in the contact aureole where palaeotemperatures exceeded 130°C. Therefore, the magnetic mineralogy is a sensitive method that can characterize normal burial history, as well as identify hidden metamorphic contact aureoles where the iron sulphide greigite is present at temperatures beyond its stability field.     

Integrating spectral and non-spectral data to improve urban settlement mapping in a large Latin-American city

ABSTRACT

Information on urban settlements is crucial for sustainability planning and management. While remote sensing has been used to derive such information, its applicability can be compromised due to the complexity in the urban environment. In this study, we developed a remote sensing method to map land cover types in a large Latin-American city, which is well known for its mushrooming unplanned and informal settlements. After carefully considering the landscape complexity there, we designed a data fusion method combining multispectral imagery and non-spectral data for urban and land mapping. Specifically, we acquired a cloud-free Landsat-8 image and two non-spectral datasets, i.e., digital elevation models and road networks. Then, we implemented a set of experiments with different inputs to evaluate their merits in thematic mapping through a supervised protocol. We found that the map generated with the multispectral data alone had an overall accuracy of 73.3% but combining multispectral imagery and non-spectral data yielded a land cover map with 90.7% overall accuracy. Interestingly, the thermal infrared information helped substantially improve both the overall and categorical accuracies, particularly for the two urban classes. The two types of non-spectral data were critical in resolving several spectrally confused categories, thus considerably increasing the mapping accuracy. However, the panchromatic band with higher spatial resolution and its derived textural measurement only generated a marginal accuracy improvement. The novelties of our work are with the successful separation between the two major types of urban settlements in a complex environment using a carefully designed data fusion approach and the insight into the relative merits of the thermal infrared information and non-spectral data in helping resolve the issue of class ambiguity. These findings should be valuable in deriving accurate urban settlement information which can further advance the research on socio-ecological dynamics and urban sustainability.