全球干热岩资源开发诱发地震活动和灾害风险管控

干热岩地热资源作为一种绿色可再生的新型能源,其开发利用已成为当前世界各国尤其是发达国家能源战略的重要组成部分.但由于干热岩位于地壳浅部3～10 km,在采用增强型地热系统(EGS)等通用开发方式过程中,伴随着地壳应力状态的扰动,部分开采项目发生较大震级的诱发地震事件,甚至造成明显灾害、引起社会问题,亟待实现科学利用和风险管控.鉴于此问题在平衡能源开发战略和社会安全领域的重要性和关键性,本文梳理了全球干热岩开采诱发地震的总体情况、典型案例,整理了在成因和机理研究、地震灾害风险管控和缓解等方面的研究进展.综合分析结果表明,已有EGS项目案例中诱发地震震级超过3.0的达到31.2％、主要与断层活化有关,最大的诱发地震可发生在注水压裂、关井后、循环生产等各阶段.干热岩开采诱发地震有多种成因,已有案例多为多种成因共同作用,其中的关井后的尾随效应是目前重大难点.目前世界各国已开展了广泛的诱发地震机理研究并探索多种减灾措施,认为累积注水体积、注水速率与最大诱发震级之间不存在普适性的定标关系,前瞻性预测需要采用"一井一策"的方式.在缓解诱发地震灾害风险上,普遍采用科学的流体注入策略、对注采策略进行验证校准、持续开展地震活动监测等系列措施.此外,对储层的临界应力状态和应力时空演化的量化描述、地热储层内的先存断层与裂缝的探测识别、可有效管控地震发生的流体注入策略等,是当前干热岩资源开发减轻地震风险的主要技术难点,而利用地热储层实时感知信息技术、采用新的注入热交换载体、发展前瞻性的地震预测方法是该领域目前重点关注的技术方向.根据我国的干热岩资源开发和减轻地震灾害风险的实际情况,亟待建立开采场地安全性和灾害风险评价、多学科的地震监测网络和分析技术、地震灾害风险管控红绿灯系统等技术体系,并加强关井后的尾随现象、多场耦合等科学问题的基础研究.     

地震随机噪声压缩感知迭代压制方法

复杂地表和复杂介质条件下,随机噪声往往严重影响着复杂地震信号的信噪比,同时深层地球物理目标探查中弱地震信号总是被随机噪声所掩盖,如何有效地压制随机噪声干扰、恢复有效地震信号仍然是高精度地震勘探中的关键问题.压缩感知理论突破了奈奎斯特采样定理的限制,利用有效地震信号的可压缩性和稀疏性,提供了从不可压缩随机噪声中进行有效信号分离的数据原理.本文系统分析压缩感知框架下地震随机噪声压制的稀疏优化反问题,提出了基于迭代软阈值算法的"采集-重建-修复"方案对该问题进行求解.在实现高度稀疏表征的基础上进行地震数据的压缩感知随机观测,通过迭代反演对有效地震信号进行重构,有效提高复杂地震数据的信噪比,同时,当求解稀疏优化问题时,如果出现正则化项引起重构信号衰减现象,可以匹配除偏对衰减的有效信号进行修复.通过与工业标准 f-x预测滤波方法进行比较,理论模型和实际数据处理的结果表明,压缩感知迭代噪声压制方法对复杂地震数据中的随机噪声有较好的压制效果,可以有效恢复出被较强非平稳随机噪声干扰的时空变同相轴信息.     

Simulation of Lake-Groundwater Interaction under Steady-State Flow

MODFLOW is one of the most popular groundwater simulation tools available; however, the development of lake modules that can be coupled with MODFLOW is lacking apart from the LAK3 package. This study proposes a new approach for simulating lake - groundwater interaction under steady-state flow, referred to as the sloping lakebed method (SLM). In this new approach, discretization of the lakebed in the vertical direction is independent of the spatial discretization of the aquifer system, which can potentially solve the problem that the lake and groundwater are usually simulated at different scales. The lakebed is generalized by a slant at the bottom of each lake grid cell, which can be classified as fully submerged, dry, and partly submerged. The SLM method accounts for all lake sources and sinks, establishing a governing equation that can be solved using Newton's method. A benchmarking case study was conducted using a modified model setup in the LAK3 user manual. It was found that when there is a sufficient number of layers at the top of the groundwater model, SLM simulates an almost identical groundwater head as the LAK3-based model; when the number of layers decreases, SLM is unaffected while LAK3 may be at a risk of giving unrealistic results. Additionally, the SLM can reflect the relationship between the simulated lake surface area and lake water depth more accurately. Therefore, the SLM method is a promising alternative to the LAK3 package when simulating lake - groundwater interaction.     

Advantages of the Optimum Pulse Moment in Surface NMR and Application in Groundwater Exploration

The surface nuclear magnetic resonance (SNMR) method is widely used in groundwater detection because of its sensitivity to hydrogen in water and direct water detection. However, low signal-to-noise ratios (SNRs) restrict the development of this technique. An optimum pulse sequence is designed according to correspondence between the pulse moment strength and its best detection depth. Because only selection of the pulse intensity distribution according to the target aquifer depth is required and the “on-resonance” pulse pattern is still employed, this pulse sequence emission can be easily achieved using existing SNMR instrumentation. Numerical simulation results and field experiments show that, compared with traditional exponential growth pulses, the optimum pulse sequence effectively improves the SNR of the SNMR method. The aquifer boundary, water content, and pore characteristics of the inversion result are thus more consistent with characteristics of underground structures. Additionally, because the optimum pulse sequence focuses most of the pulse moments in the target depth range, in situations where two aquifers are separated by a relatively narrow aquitard, it is better able to resolve the individual aquifers than the traditional pulses. Optimum pulse moments improve the SNR by enhancing the signal amplitude, compared with various filtering methods, and obtain a better detection effect. This kind of pulse sequence can be used as an alternative pulse sequence form of the SNMR method.     

Role of reservoir regulation and groundwater feedback in a simulated ground-soil-vegetation continuum: A long-term regional scale analysis

The regional terrestrial water cycle is strongly altered by human activities. Among them, reservoir regulation is a way to spatially and temporally allocate water resources in a basin for multi-purposes. However, it is still not sufficiently understood how reservoir regulation modifies the regional terrestrial- and subsequently, the atmospheric water cycle. To address this question, the representation of reservoir regulation into the terrestrial component of fully coupled regional Earth system models is required. In this study, an existing process-based reservoir network module is implemented into NOAH-HMS, that is, the terrestrial component of an atmospheric–hydrologic modelling system, namely, the WRF-HMS. It allows to quantitatively differentiate role of reservoir regulation and of groundwater feedback in a simulated ground-soil-vegetation continuum. Our study focuses on the Poyang Lake basin, where the largest freshwater lake of China and reservoirs of different sizes are located. As compared to streamflow observations, the newly extended NOAH-HMS slightly improves the streamflow and streamflow duration curves simulation for the Poyang Lake basin for the period 1979–1986. The inclusion of reservoir regulation leads to major changes in the simulated groundwater recharges and evaporation from reservoirs at local scale, but has minor effects on the simulated soil moisture and surface runoff at basin scale. The performed groundwater feedback sensitivity analysis shows that the strength of the groundwater feedback is not altered by the consideration of reservoir regulation. Furthermore, both reservoir regulation and groundwater feedback modify the partitioning of the simulated evapotranspiration, thus affecting the atmospheric water cycle in the Poyang Lake region. This finding motivates future research with our extended fully coupled atmospheric–hydrologic modelling system by the community.     

海藻中类胡萝卜素的提取及含量测定

许多研究已经表明，类胡萝卜素是分布最广泛、最重要的一类光辅助合成色素。类胡萝卜素具有多种生物学功能：作为化学保护剂可抵抗由植物自身叶绿素的光敏氧化作用引起的有害作用，给人体补充β-胡萝卜素可有效降低心血管疾病和癌症的发生概率，高摄入富含类胡萝卜素的饮食和降低白内障发生的危险之间有重要联系(Bendich，1993)。海藻中含有丰富的类胡萝卜素，从结构类型说，通常可以分为三类：胡萝卜素、叶黄素和类胡萝卜素酸。海藻中还含有多种特有的类胡萝卜素，如褐藻黄素、甲藻黄素、硅藻黄素等。直到目前为止，海藻中类胡萝卜素的组成与生理学功能尚没有明确的结论，因而对我国丰富的海藻资源中的类胡萝卜素进行较为系统和全面的化学及生物活性研究已成为摆在我们面前的一个重要课题。本研究选取我国青岛海滨三类大型经济海藻——红、绿、褐藻中资源量丰富的代表性种类作为实验材料，较系统地测定了其中类胡萝卜素的含量，并运用经典的柱层析法对各类胡萝卜素组分进行了分离，通过薄层分析和可见光谱扫描对各分离组分进行了定性、定量分析。     

三维井间地震侧面波传播特征及其分离研究

井间地震与常规地震相比具有较高的分辨率,同时波场也更加复杂.利用视速度特征的差异很容易地分离井间上下行波场,根据纵横波偏振特征的不同可将纵横波完全分离,但是针对井间地震侧面波的研究并不多.本文构建高速透镜体和断层模型进行波场数值模拟,通过对三维地震波场的传播特征进行分析可知,井间地震接收的波场既有岩性分界面的响应,还会有侧向地质不均匀体产生的干扰,严重影响成像的质量和精度.经偏振旋转后的T分量记录对物性横向变化较为敏感,综合分析X、Y、Z分量和T分量上不同连井剖面的波场传播特征,可对侧向传播的干扰波进行有效识别,利用线性Radon变换可以在一定程度上将侧面波进行压制,为后续井间地震资料处理提供高信噪比的数据.本文通过理论模型进行试算研究,验证了该方法的有效性,并对理论记录取得了较好的分离效果.     

物质点强度折减法边坡失稳判据选择方法

用物质点强度折减法求解边坡安全系数时,需要选择一定的失稳判据,而采用不同的失稳判据获得的安全系数通常存在一定差异.为此,采用物质点强度折减法对两个边坡算例进行了稳定性分析,对比研究了文献中常用的4种边坡失稳判据(计算不收敛、特征点位移突变、塑性应变贯通及界限值判据)在计算边坡安全系数时的合理性及适用性.同时,将Spen...     

洱海沉积物中有机质和DNA的分布特征

测定了洱海沉积物中有机碳、氮,提取了沉积物中的DNA。有机碳氮呈现相同的变化趋势降解主要发生在表层10cm;7cm前后氧化-还原条件变化,微生物电子受体改变,所以有机质的降解方式不同,出现不同的特征。利用分子生物学和地球化学相结合的方法,能更全面的认识和理解早期成岩过程。     

XUV Photometer System (XPS): Improved Solar Irradiance Algorithm Using CHIANTI Spectral Models

Solar soft X-ray (XUV) radiation is highly variable on all time scales and strongly affects Earth’s ionosphere and upper atmosphere; consequently, the solar XUV irradiance is important for atmospheric studies and for space weather applications. Although there have been several recent measurements of the solar XUV irradiance, detailed understanding of the solar XUV irradiance, especially its variability during flares, has been hampered by the broad bands measured in the XUV range. In particular, the simple conversion of the XUV photometer signal into irradiance, in which a static solar spectrum is assumed, overestimates the flare variations by more than a factor of two as compared to the atmospheric response to the flares. To address this deficiency in the simple conversion, an improved algorithm using CHIANTI spectral models has been developed to process the XUV Photometer System (XPS) measurements with its broadband photometers. Model spectra representative of quiet Sun, active region, and flares are combined to match the signals from the XPS and produce spectra from 0.1 to 40 nm in 0.1-nm intervals for the XPS Level 4 data product. The two XPS instruments are aboard NASA’s Solar Radiation and Climate Experiment (SORCE) and Thermosphere, Ionosphere, Mesosphere, Energetics, and Dynamics (TIMED) satellites. In addition, the XPS responsivities have been updated for the latest XPS data processing version. The new XPS results are consistent with daily variations from the previous simple conversion technique used for XPS and are also consistent with spectral measurements made at wavelengths longer than 27 nm. Most importantly, the XPS flare variations are reduced by factors of 2 – 4 at wavelengths shorter than 14 nm and are more consistent, for the first time, with atmospheric response to solar flares. Along with the details of the new XPS algorithm, several comparisons to dayglow and photoelectron measurements and model results are also presented to help verify the accuracy of the new XUV irradiance spectra.