Prediction of vegetation anomalies over an inland river basin in north‐western China

Vegetation cover plays an important role in linking the atmosphere, water, and land and is deemed as a key indicator in the terrestrial ecological system. Therefore, it is of great importance to monitor vegetation dynamics and understand the mechanisms of vegetation change, including that driven by climate change. This study examines (a) the evolution of vegetation dynamics over the Heihe River Basin in the typical arid zone in north‐western China using nonparametric Mann–Kendall test and Thiel Sen's slope; (b) the relationships between remotely sensed vegetation indices (normalized difference vegetation index [NDVI] and enhanced vegetation index [EVI]) and hydroclimatic variables based on correlation analysis; and (c) the prediction of vegetation anomalies using a multiple linear regression model. For the analysis, the Moderate Resolution Imaging Spectroradiometer NDVI/EVI product and the gridded daily meteorological data at a spatial resolution of 0.125° over the period 2001–2010 are considered. The results indicate that vegetation cover improved over a large proportion during 2001–2010, with a significant trend towards warm and wet, characterized by an increase in average annual temperature and precipitation by 0.042 °C/year and 5.8 mm/year, respectively. We test the feasibility of NDVI and EVI in quantifying the responses of vegetation anomaly to climate change and develop a statistical model to predict vegetation dynamics in the basin. The NDVI‐based model is found to be more reliable than the EVI‐based model, partly due to the vegetation characteristics and geomorphologic properties of the study region. The proposed model performs well when there is no lag time between meteorological factors and vegetation indices for grassland and cropland, whereas 1‐month lead time prediction is found to be best for forest. The soil water content is introduced as an extra explanatory variable, which effectively improves the prediction accuracy for different land use types. In general, the predictive ability of the proposed model is stable and satisfactory, and the model can provide useful early warning information for regional water resources management under changing climate.     

Assessment of code bias variations of BDS triple-frequency signals and their impacts on ambiguity resolution for long baselines

GPS Solutions - Carrier phase ambiguity resolution over long baselines is challenging in BDS data processing. This is partially due to the variations of the hardware biases in BDS code signals and...     

南黄海盆地二叠系烃源岩孢粉相特征及其形成环境

以沉积环境控制烃源岩发育理论为指导,应用孢粉相分析方法,以南黄海盆地二叠系大隆组、龙潭组和栖霞组烃源岩层段为研究对象,对典型钻井剖面的孢粉及沉积有机屑进行系统的分析。根据沉积有机屑的丰度特征和组分类型,探讨三套烃源岩的形成环境,初步评价其生烃潜力。研究结果表明,利用孢粉相分析方法,可以有效地对高成熟海相烃源岩的生烃潜力和形成环境进行客观评价:栖霞组为缺氧远陆架沉积环境,以无定形有机质为主,水体分层缺氧,是烃源岩形成的有利环境;大隆组为缺氧和少氧的陆架环境,也较有利于烃源岩的形成,生烃潜力较栖霞组差;龙潭组煤质型有机质较为丰富,为充氧的陆架区,以陆源输入为主,沉积区水体较浅,含氧量高,不利于富氢烃源岩的形成。     

AHDEB油田白垩系油藏油气充注期次的流体包裹体证据

伊拉克AHDEB油田油藏成藏规律对油田后期开发具有重要意义, 与埋藏史相结合的流体包裹体研究是揭示油藏油气成藏期次和时间的有效手段.利用伊拉克AHDEB油田白垩系油藏储层样品对流体包裹体特征进行了分析, 并且通过流体包裹体的显微观察、荧光颜色、单一包裹体的红外光谱和均一温度测定, 结合地质背景对该油田的油充注期次进行了研究.研究表明, 油包裹体以发绿色和黄绿色荧光为主, 少数发浅黄色和黄褐色荧光.油包裹体的显微傅立叶红外光谱测定结果计算的CH_2a/CH_3a、X_inc、X_std可划分油的成熟度, 表明存在两种成熟度的油.最后, 根据均一温度测定结果, 结合埋藏史和热史, 认为该油田可能存在4期油充注成藏相关的流体活动: 第1成藏期发生在95.0~96.5Ma, 相当于晚白垩世早期; 第2成藏期为71.0~78.5Ma, 相当于晚白垩世晚期, 第1期和第2期烃源岩排烃规模小, 产生中-重质油, 后期遭受氧化而形成沥青; 第3成藏期发生在14.0~15.0Ma, 相当于中中新世, 处于生排烃高峰期, 为主要成藏期; 第4期发生在10.0Ma左右, 与第3期为多幕连续充注.      

氡(222Rn)在地下水-地表水相互作用中的应用研究进展

地下水-地表水相互作用是水资源管理和地表水生态系统保护中重要的一个环节,氡同位素(²²²Rn)由于其在地下水与地表水中含量差异显著、性质保守、检测难度低,广泛运用于地下水-地表水相互作用的研究当中。本文通过总结分析²²²Rn在不同地表水体(海水、河水、湖水等)中的应用,指出刻画地下水氡浓度的异质性是估算地下水排泄的重点和难点。在估算海底地下水排泄(SGD)时,氡的混合损失项估算不确定、海水氡浓度时空变异性、SGD的多组分特征等可能给估算结果带来较大不确定性;在估算河流地下水排泄时难以确定氡的大气逃逸量;研究人员对氡在示踪地表水补给地下水方面的研究程度相对不足。本文从科学研究和实际生产方面,对²²²Rn的研究应用提出以下潜在方向:(1)降低地下水氡空间变异性对估算地下水排泄量的影响;(2)针对不同水体、不同水文条件,准确刻画氡的大气逃逸量;(3)拓展²²²Rn示踪能够解决的科学问题;(4)将氡质量平衡模型计算与不确定分析相结合,实现软件化。     

李口集区块煤储层地质条件及煤层气采收率

基于煤田勘探资料和矿井实际观测结果,结合测试分析和数值计算,对平顶山矿区李口集区块煤储层地质条件进行了研究。结果表明：区块内主煤层的煤体结构破坏严重,小型裂隙发育但连通性较差,含气量中等且属于低压煤储层,煤层气采收率偏低,地面原位开采的难度较大。为此,建议该区块的煤层气开发以矿井抽采为主,并在煤矿采动带和采空区辅以合理的地面抽采工程。     

渤海湾西北部潮间带沉积物激光法与筛析沉降法结果的比较

对渤海湾西北部潮间带16个样品分别进行了激光法与综合法(筛析沉降法)粒度测量.两种方法所获结果的相关分析表明,激光法测得的>63μm的砂的百分含量平均仅比综合法低5%,相关系数高达0.9,相关性显著.两种方法测得的粉砂和粘土含量相关系数分别为0.39和0.48.进一步将<63μm部分分为6个粒级对比两种方法的异同,结果显示<1μm、1~2μm、2~4μm、4~8μm、8~16μm和16~63μm部分的相关系数分别为0.24、0.7、0.7、0.61、0.61和0.37.据此认为,16个样品粒径<1μm和16~63μm部分两种方法的结果不能对比,其余粒级的激光法结果,通过各自的回归方程,可谨慎地代替传统的综合法.     

右江盆地含油气成矿流体性质及其成藏-成矿作用

右江盆地含油气成矿流体是一种多组分、多相态的不混溶体系,成藏流体具低温(多为90～160℃)和低盐度(多小于6wt%NaCl)的特征,其主要组分是有机质、CO2和H2O;金矿成矿流体以中低温(多集中于150～250℃)和低盐度(0.4～6.7wt%NaCl)为特征,其主要组分为H2O和CO2,次为烃类有机组分。盆地内古油藏与金矿床在空间上密切共存,在成藏和成矿流体活动时限上基本一致,在成因上一脉相承,表明两者均为盆地有机成矿流体演化的产物。加里东晚期至印支中期,"盆-台相间"的沉积构造格局为成矿和成藏奠定了物质基础,盆地有机成矿流体的活动使油气和金属分别聚集形成油气藏和金属矿床。印支晚期至燕山早期,伴随褶皱造山作用的盆地流体活动使油气的原始分布格局发生改变,并造成了油气和金属矿床的空间分带。燕山中晚期强烈的构造抬升剥蚀,使油气藏和金属矿床遭受强烈的破坏与改造。     

Latest Middle Miocene fauna and flora from Kumkol Basin of northern Qinghai-Xizang Plateau and paleoenvironment

We report 7 mammalian and 16 pollen species from the top of the Shimagou Formation in Kumkol Basin of northern Qinghai-Xizang Plateau, whose age is latest Middle Miocene(about 12.5 Ma). We erect a new species of fossil rodent,Spermophilinus kumkolensis sp. nov. The micromammalian fauna from the Kumkol Basin shares high similarities with contemporary faunas from Europe and northern China, indicating the existence of active zoogeographic exchange between Europe and northern Asia. Trees are dominant in pollen fossils, and herbs and shrubs are minorities. Broadleaved Quercus and Fagus predominate in tree pollens. The flora reconstructed by pollens displays a mixture of evergreen broadleaved forest and dry and warm steppe landscape. Compared to the modern vegetation in Yunnan region, the latest Middle Miocene flora in the Kumkol Basin represents a distinct vertical distribution. The ecotypes of the latest Middle Miocene fauna and flora in the Kumkol Basin,as a whole, are markedly different from those of modern animals and vegetation, the past climate being more suitable than today.     

Multiscale phase inversion for 3D ocean-bottom cable data

We invert three-dimensional seismic data by a multiscale phase inversion scheme, a modified version of full waveform inversion, which applies higher order integrations to the input signal to produce low-boost signals. These low-boost signals are used as the input data for the early iterations, and lower order integrations are computed at the later iterations. The advantages of multiscale phase inversion are that it (1) is less dependent on the initial model compared to full waveform inversion, (2) is less sensitive to incorrectly modelled magnitudes and (3) employs a simple and natural frequency shaping filtering. For a layered model with a three-dimensional velocity anomaly, results with synthetic data show that multiscale phase inversion can sometimes provide a noticeably more accurate velocity profile than full waveform inversion. Results with the Society of Exploration Geophysicists/European Association of Geoscientists and Engineers overthrust model shows that multiscale phase inversion more clearly resolves meandering channels in the depth slices. However, the data and model misfit functions achieve about the same values after 50 iterations. The results with three-dimensional ocean-bottom cable data show that, compared to the full waveform inversion tomogram, the three-dimensional multiscale phase inversion tomogram provides a better match to the well log, and better flattens angle-domain common image gathers. The problem is that the tomograms at the well log provide an incomplete low-wavenumber estimate of the log's velocity profile. Therefore, a good low-wavenumber estimate of the velocity model is still needed for an accurate multiscale phase inversion tomogram.