江汉盆地当阳向斜区主要不整合面剥蚀厚度

本文利用磷灰石裂变径迹、(U-Th Sm)/He及镜质体反射率Ro％等古温标方法综合分析了江汉盆地当阳向斜区主要不整合面剥蚀厚度.结果表明:发育于古近纪末期不整合面T1界面累积剥蚀厚度超过1000m,且局部正反转区域如谢家湾断褶带等则遭受更大规模的剥蚀,剥蚀厚度可能超过2000m,而发育于晚侏罗世一早白垩世的不整合面T11界面累积剥蚀厚度超过4000m,且主要是晚侏罗世早白垩世构造事件的结果,表明该期剥蚀量明显大于古近纪末T1界面剥蚀量;晚三叠世—侏罗纪期间,当阳地区发育前陆坳陷带,侏罗纪堆积体具有明显东厚西薄的楔形体特征,位于盆地东部的前渊区沉积厚度可超过5000m;包括现今三叠系和侏罗系出露区以及江陵凹陷局部断隆区在内的前白垩系在侏罗纪前陆坳陷带发育时期达到最大埋深和最高古温度,其Ro％主要是该期获得的;晚白垩世—古近纪发育的断陷盆地范围可能远比现今残留盆地分布广,江陵凹陷上白垩统—古近系厚度超过9000m,其中古近系可能超过7000m,而在河溶凹陷谢家湾断褶带古近系厚度可超过3300m.     

Coal strength and Young's modulus related to coal rank,compressional velocity and maceral composition

This paper presents an experimental investigation of coal rank and maceral composition influences on the coal mechanical behaviors. The complete stress–strain behavior, uniaxial compressive strength, Young's modulus, and acoustic compressional velocity were measured and correlated to coal ranks and microstructures. The test results show that coal is an elasto-brittle geo-material and its uniaxial compressive strength and Young's modulus increase as coal rank increases. This occurs because as vitrinite reflectance or coal rank increases, coal has less microporous structure and thus higher uniaxial compressive strength. Therefore, using vitrinite reflectance value instead of vitrinite content is advantageous for correlating coal strength. The experimental results also demonstrate that compressive strength and Young's modulus have positive exponential correlation, even for different types of coal. Therefore, the compressive strength of coal is highly related to its Young's modulus. The uniaxial compressive strength and acoustic compressional velocity of coal are also correlated, but a single correlation does not exist for different coal ranks; instead, different relationships occur for different types of coal.     

Constraining the colouration mechanisms of Cretaceous Oceanic Red Beds using diffuse reflectance spectroscopy

We have used diffuse reflectance spectroscopy to investigate the colouration mechanisms of hematite in Cretaceous Oceanic Red Beds (CORBs). Data for samples of CORBs from the Chuangde section in Tibet, Vispi Quarry section in Italy, and Core 12X of Ocean Drilling Program Hole 1049C in the North Atlantic were compared with calibration datasets obtained for hematite in different crystalline forms (kidney and specular hematite) and calcite matrix. Spectra for hematite in either pure form or in calibration datasets show that the centre of the reflection peak shifts to a longer wavelength and depth (D) decreases as the crystallinity of the hematite increases. Compared with specular hematite, the presence of just 0.5% of kidney hematite can cause a much deeper absorption peak and greater redness value, which indicates that kidney hematite has a higher colouration capacity than specular hematite. However, both kidney and specular hematite exhibit a good correlation between the redness value for each calibration dataset and the absorption peak depth. In all three studied sections, hematite is the main iron oxide mineral responsible for colouration. Spectral features such as absorption peak depth and peak centre reveal that hematite crystallinity gradually decreases from red shale to limestone to marl. Based on a spectral comparison of red shale in the Chuangde section before and after citrate–bicarbonate–dithionite (CBD) treatment, we found that two forms of hematite are present: a fine-grained and dispersed form, and a detrital form. The former is relatively poorly crystalline hematite, which has a much stronger colouration capacity than the detrital form. In the Vispi Quarry section and Core 12X of ODP Hole 1049C, a good correlation between the absorption peak depth of hematite and redness value indicates that the red colouration is caused by hematite of similar crystallinity in each section.     

基于遥感图像分析的极区海冰漂移研究

自然水体中石油污染含量的时空间分布是数字地球领域水体环境研究的一个重要参数,利用遥感技术提取水中石油含量也是数字地球研究领域的一个热点问题.基于2009-2013年进行的六次石油类污水野外配比实验数据,结合2013年6月-2014年4月晴天获取的中国辽宁盘锦辽河油田Landsat 8/OLI遥感数据,在对配比实验测定值、Landsat 8/OLI传感器模拟值和Landsat 8/OLI传感器过境值等三类遥感反射比数据进行归一化处理的基础上,通过对波段特征进行分析,发现含油水样与无油水样在绿色、红色和近红外波段的遥感反射比存在明显的差异,由此提出了水体石油污染归一化遥感反射比指数NDPRI (Normalized Difference Petroleum Remote Sensing Reflectance Index),该指数可用来判断水体是否存在油污染,进一步建立利用NDPRI来反演水中石油含量遥感模式.结果表明:(1)含油水样和无油水样在蓝色波段的归一化遥感反射比差别不大;(2)含油水样在绿色和红色波段的归一化遥感反射比明显低于无油水样;(3)无油水样在近红外波段的归一化遥感反射比呈现下降趋势,而含油水样的归一化遥感反射比随着石油类浓度含量的增加而明显抬升,呈现出较好的线性关系;(4)含油水样,其NDPRI小于0.45,此阈值作为是否有油污染的判断值.最后,利用2014年4-8月污水厂获取的现场实测数据对模式进行验证,相对误差为13.5％,表明所建立的模式具有良好的石油含量反演精度.     

Comparison of the Landsat Surface Reflectance Climate Data Record (CDR) and manually atmospherically corrected data in a semi-arid European study area

This study contributes to the quality assessment of atmospherically corrected Landsat surface reflectance data that are routinely generated by the Landsat Ecosystem Disturbance Adaptive Processing System (LEDAPS). This dataset, named Landsat Surface Reflectance Climate Data Record (Landsat CDR), is available at global scale and offers unprecedented opportunities to land monitoring and management services that require atmospherically corrected Earth observation (EO) data. Our assessment is based on the comparison of the Landsat CDR data against a set of Landsat and DEIMOS-1 images processed to a high degree of accuracy using an industry-standard atmospheric correction algorithm (ATCOR-2). The software package has been used for many years and its correction procedures can be considered consolidated and well-established. The dataset of Landsat and DEIMOS-1 images was acquired over a semi-arid agricultural area located in Lower Austria and was independently corrected by using a manual fine-tuning of ATCOR-2 parameters to reach the highest possible accuracy. Results show a very good correspondence of the surface reflectance in each of the six reflective spectral channels as well as for the NDVI (Normalized Difference Vegetation Index). An additional comparison against a NDVI time series from MODIS revealed also a good correspondence. Coefficients of determination (R²) between the two multi-year and multi-seasonal Landsat/DEIMOS datasets range between 0.91 (blue band) and 0.98 (nIR, SWIR-1 and SWIR-2). The results obtained for our semi-arid test site in Austria confirm previous findings and suggest that automatic atmospheric procedures, such as the one implemented by LEDAPS are accurate enough to be used in land monitoring services that require consistent multi-temporal surface reflectance data.     

顾及城区形态特征的太阳辐射传输模型及其遥感应用

准确量化地表太阳辐射量是反射率遥感反演之基础,开展城区表面辐射研究具有重要意义。本文选择天空视域因子（V）表征城区下垫面形态特征,并区分太阳直接辐射、天空漫辐射以及环境辐射的不同影响,构建了城区表面太阳辐射模型USSR（Urban Surface Solar Radiation）;然后,以Landsat 8可见光和近红外波段遥感数据为例,分析了USSR模型对于量化城区表面太阳辐射的应用前景。研究结论为：（1）USSR模型以天空视域因子为核心要素,清楚量化了城区表面各辐射分量,有效模拟了城区表面太阳辐射传输过程,能够较好地表达城区下垫面形态结构对入射辐射的影响;（2）将USSR模型应用于Landsat 8遥感数据可见光和近红外波段时,基于USSR模型估算得到的城区表面太阳辐射,与不考虑下垫面形态特征影响相比,前者可以较好地表达城区下垫面对入射辐射的“截留”作用;（3）USSR模型估算结果与TEB模型相比,二者具有较高的相关性,间接验证了USSR模型的可用性;（4）对USSR模型的V和下垫面反射率两变量进行敏感性分析,显示随着V值的增加,结果呈递增趋势;通常情况下的地表反射参数P设置值,相对于参数V的影响要弱,呈现不敏感性。本文提出的USSR模型可订正城区表面太阳辐射值,从而拓展城市遥感的应用深度和广度。     

基于MTSAT卫星的我国东部沿海雾区的自动识别

本文综合运用可见光反射率阈值法,3×3像元空间一致性检测法,红外亮温阈值法及双通道差值法,建立全天候海雾遥感监测算法,并利用MTSAT卫星资料,对2006年4～5月间我国东部沿海海雾进行个例监测试验,并进行卫星图象的目视真实性检验.监测结果表明,该方法能较好地实现云雾自动分离.在夜间,能有效分离低层云雾和晴空像元;当出现逆温雾时,雾仍可以被有效地判识出来.     

基于浮标观测的东海赤潮高发区秋、冬季漫射衰减系数的反演

浮标测量的光学数据时间序列长、分辨率高, 能可靠地测量快速变化的漫射衰减系数(K_d)。东海赤潮高发区水体中的浮游植物生物量及悬浮泥沙含量存在较大的变化, 光学性质复杂。文章利用2013年9月至2014年1月的海洋光学浮标数据, 获得了该海域水体的表观光学特性, 基于K_d(490)与遥感反射比[R_rs(λ)]的相关关系建立了K_d(490)的经验算法, 并与已有7种反演算法进行了比较。结果表明, 该海域的K_d(λ)及R_rs(λ)具有显著的Ⅱ类水体光谱特征, 其中, K_d(490)的范围为0.01~4.31m^-1, 水体的浑浊程度变化大。K_d(490)与R_rs比值的相关性较好, 据此建立了以R_rs(650)/R_rs(510)、R_rs(555)/R_rs(510)作为自变量的K_d(490)双比值经验算法。将新建算法反演获得的K_d(490)与实测K_d(490)相比, 均方根误差、平均相对误差百分比和线性回归的决定系数分别为0.27m^-1、27.08%和0.77, 优于其他7种算法。算法精度的提高源于新建算法选择的R_rs能充分反映水体信息, 并适应水体组分的变化, 可为东海赤潮高发区K_d(490)的反演提供较好的选择, 并为海洋光学浮标在水体环境监测中的应用提供示例。     

南海北缘东沙隆起中生代以来的埋藏史和热史重建——来自LF35-1-1井(U-Th)/He和Ro的证据

沉积盆地埋藏史和热历史重建是了解盆地成因和油气形成条件的重要依据,而目前利用古温标手段研究珠江口盆地内东沙隆起热史和埋藏史的成果寥寥无几.本研究中,我们基于磷灰石与锆石(U-Th)/He年龄的反演结果给出了更多合理的约束条件,在此基础上对同一套镜质体反射率Ro数据进行了古热流法模拟计算,获得了钻井自中生代以来的地层温度史.反演结果显示LF35-1-1井区在早始新世-早渐新世发生了一期强烈的抬升剥蚀,地层剥蚀量为2000 m左右.拟合获得的埋藏史和热流史显示该井区在早始新世(~55Ma)经历了最高井底古热流(100 mW·m~(-2)),之后热流减小,持续至现今64.3 mW·m~(-2).最高古地温与隆升剥蚀在时间上的耦合体现了抬升事件对地温冷却的影响,但不足以排除基底热流下降因素.本次研究首次将(U-Th)/He技术用于南海北缘深水区盆地的热史研究,获得的热史结果更加符合现有的构造沉积大地构造方面的认识,展示了利用多种古温标手段进行盆地精细热史研究的良好效用.     

To what extent have laterites contributed to the geochemical,surface reflectance and magnetic properties of adjacent tropical soils? Evidence from Niger and Burkina Faso

The present study is based on a suite of surface samples from exposures of eroded laterite, considered to be Tertiary in age, and nearby soils in the Sahelian region of SW Niger and Burkina Faso. X‐ray fluorescence, X‐ray diffraction, computer‐controlled scanning electron microscopy, energy‐dispersive X‐ray spectroscopy, diffuse UV–visible reflectance spectroscopy and a suite of magnetic measurements have been used to shed light on the origin of the soils and their possible derivation from the adjacent, eroded laterite outcrops. On the basis of the wide range of data obtained, we conclude that the mineralogy and magnetic properties of the soils preclude direct derivation from the laterites without further weathering and modification. Nor does the evidence support the view that the soils have evolved entirely independently, uninfluenced by input from the laterites. The only conclusion that is consistent with all the lines of evidence is that the erosion of the laterites provided at least a significant part of the material upon which soil formation took place. This must have occurred at a time early enough to permit a long period of subsequent soil development during which the iron oxides, specifically haematite and ferrimagnetic minerals, were significantly modified. From this, we infer that eroded material from discontinuous laterite exposures has contributed significantly to the remotely sensed, distinctive reflectance characteristics of the Sahel surfaces. The magnetic properties of the soils provide evidence for the in situ neo‐formation of fine, secondary, pedogenic magnetite/maghemite grains typical of those found in many soils across the Sahel region and elsewhere in both temperate and tropical environments. Copyright © 2017 John Wiley & Sons, Ltd.