煤层气在煤储层中的扩散及其影响因素

煤层气在煤储层中的扩散是指从煤基质孔隙表面上解吸的煤层气运移到割理系统的主要过程。发生扩散的前提条件是气体浓度差的出现，衡量扩散能力大小的重要参数是扩散系数。前者为由解吸速度、解吸气量和煤层气产量、井孔压力降等因素控制的动态参数，而后者为主要受扩散物质性质、扩散介质特征、扩散系统的温度、压力和孔隙结构形态等因素影响的静态参数。煤层气在煤储层中的扩散量与煤层气浓度差和扩散系数呈正比关系。     

Born近似快速三维反演井地电法数据

本篇研究了井中电偶极激发地面接收的井地电法的快速反演成像问题.我们采用了Born近似方法和重加权正则化共轭梯度法(RRCG)算法.数值计算的结果表明Born近似是一种有效的井地电法三维快速反演方法,同时也说明井地电法监测油水前驱和储层边界预测的观测数据可以用该方法进行快速三维反演成像.     

河北平原非地热异常区地热资源

多年来 ,由于人们对地热资源认识的局限性 ,只把注意力集中在地热异常区 ,即地温梯度大于3.5℃/100m或大地热流值大于62mW/m2的地区。因此 ,地热异常区内的地热资源大部分已得到开发利用 ,而非地热异常区的地热资源远远没有得到开发利用。非地热异常区面积占平原区总面积的80%以上 ,所蕴藏的地热资源潜力巨大 ,如能得到开发利用 ,必将对地方经济的发展起到极大的推动作用。     

几种梯度场计算的数值算法及其地学应用

梯度作为标量场在空间上最重要的微观变化特征,能较好地反映其在空间上的变化趋势。本文介绍了中心差分算子、相邻梯度因子和Sobel梯度算子三种梯度数值算法。以点电荷在三维空间中产生的电势场构造了一标量场,通过理论公式求解了其梯度值,并将理论梯度值与三种数值算法的结果进行了对比与统计分析,验证了三种梯度数值算法的有效性和适用性。结果表明,排除场源的影响后,Sobel梯度算子相较其它两种数值算法更逼近于理论梯度值。最后,利用Sobel梯度算子求取了某铜矿区可控源音频大地电磁法(CSAMT)三维视电阻率场的梯度场,用梯度场刻画了视电阻率在空间上的变化趋势,提高了对三维地下空间的电性分布规律和地质情况的认识。     

佘山重力垂直梯度偏小的原因及其对大地测量的影响

根据推导的公式计算了由山体质量引起的梯度效应,结果与实测值甚为接近。分析了佘山重力垂直梯度偏小的原因,认为这是由于山体质量分布引起的。最后讨论了垂直梯度偏小对重力值的高度归算和大地水准面的影响。     

融合多源海洋大地测量数据的南海海底地形多层感知机反演

本文融合SIO(Scripps Institution of Oceanography)发布的垂线偏差、重力异常和垂直重力梯度数据及NCEI(National Centers for Environmental Information)发布的船载测深数据, 利用多层感知机神经网络(Multi-Layer Perceptron, MLP)建立南海海域(108°E—121°E, 6°N—23°N)分辨率为1'×1'的海底地形模型(MLP_Depth).首先, 将642716个船载测深控制点的位置信息与周围4'×4'格网点处的地球重力信息(垂线偏差、重力异常、垂直重力梯度)作为输入数据, 将船载测深控制点处实测水深值作为输出数据, 训练MLP神经网络模型, 训练结束时决定系数R²为99%, 平均绝对误差MAE为39.33 m.然后, 将研究区域内1'×1'格网正中心点处的输入数据输入于MLP模型中, 可得格网正中心点处的预测海深值.最后, 根据预测海深值建立研究区域范围内分辨率为1'×1'的MLP_Depth模型.将MLP_Depth模型预测水深与160679个检核点处实测水深对比, 其差值的标准差STD(75.38 m)、平均绝对百分比误差MAPE(5.89%)与平均绝对误差MAE(42.91 m)皆优于GEBCO_2021模型、topo_23.1模型、ETOPO1模型与检核点实测水深差值的STD(108.88 m、113.41 m、229.67 m)、MAPE(6.11%、6.94%、18.37%)与MAE(47.33 m、52.24 m、130.08 m).同时, 为了研究不同区域内利用该方法建立的海底地形模型的精度, 本文在研究区域内分别建立了A、B区域的海底地形模型(MLP_Depth_A、MLP_Depth_B).经过验证得: MLP_Depth_A、MLP_Depth_B相比于MLP_Depth模型具有更高的精度, 更能反应海底地形的变化趋势.

     

Resolving physically and biologically driven suspended particulate matter dynamics in a tidal basin with a distribution-based model

Understanding suspended particulate matter (SPM) dynamics in coastal waters is crucial to assess changes in coastal sediment budgets and biogeochemical fluxes. SPM dynamics are subject to various physical and biological factors and processes such as, e.g. tidal currents and aggregation which can be enhanced by extracellular polymeric substances (EPS) that are produced by algae and bacteria. It is still unclear how the different factors and processes interact and together determine SPM dynamics. To unravel the interacting processes and factors, we propose a new distribution-based modeling approach. Based on the derivation of explicit equations for size distribution characteristics of SPM such as the average radius, we derived a model of reduced complexity characterized by low initialization and parameterization effort as well as low computational cost. The proposed 0D model includes the processes of aggregation and fragmentation due to shear, aggregation due to differential settling, deposition, resuspension and tidal exchange, and describes the evolution of the SPM concentration in the water column linked by the settling velocity to the change of the mass average radius of the aggregate distribution. A systematic parameter variation for critical bottom shear stress of erosion, the size of resuspended aggregates, the fractal dimension, the collision efficiency, and the aggregate strength has been performed and compared to observations in the back-barrier basin of Spiekeroog Island in the German Wadden Sea. This analysis confirms the hypothesis that in winter biological influences on SPM dynamics are smaller compared to summer. This is mainly reflected by a significant shift in the various parameters. We hence conclude that biological control mechanisms have a much more quantitative relevance for SPM dynamics than currently represented by state-of-the-art SPM transport models.     

Macrofaunal communities in the habitats of intertidal marshes along the salinity gradient of the Schelde estuary

The macrobenthos is important in benthic remineralization processes; it represents a trophic link and is also often used as a bio-indicator in monitoring programs. Variations of the environmental parameters strongly influence the structure of the macrobenthic communities in the marshes and since macrobenthos is the most important food item for marsh-visiting fish species in the Schelde, the variation in food resources can have a strong effect on the higher trophic level. The present study deals with the variation in macrobenthic communities in different habitats of intertidal marshes along the salinity gradient and the differences between the marsh creeks and the intertidal part of the estuary. The study measured density and species richness together with the biomass, and sampled a large intertidal channel and a smaller creek within five marshes along the salinity gradient of the Schelde estuary every six weeks between May and October in 2000.     

辽东湾北部近海大型水母数量分布和温度盐度特征

通过2009-2011年5月下旬-7月下旬辽东湾北部近海10m等深线内的大型水母调查数据,分析了辽东湾北部近海近三年中大型水母资源状况,并探讨了辽东湾大型水母的生态类型。结果显示:辽东湾北部近海大型水母种类主要有海蜇(Rhopilema esculentum)、沙蜇(Nemopilema nomurai)、白色霞水母(Cyanea nozakii)、海月水母(Aurelia sp.1),海蜇和沙蜇是优势种。海蜇幼水母阶段主要集中分布在5m等深线以内的近岸河口水域,随着个体增大有略向深水或密度较小的水域扩散的趋势,仍主要分布在5m等深线两侧水域,属于高温低盐种类。6月份调查海区中发现大量的沙蜇幼水母,随着沙蜇个体增大,7月份调查海区中沙蜇数量大幅度减少。辽东湾海月水母在南部海域出现较多,2010、2011年在北部近海部分海域出现。白色霞水母近几年来辽东湾出现较少,栖息在盐度较高的水域。辽东湾各种大型水母中,沙蜇的生长速度最快。辽东湾海蜇幼水母、沙蜇幼水母的海区出现时间要晚于黄、东海。     

牙鲆幼鱼越冬饲养期环境因子研究

本文重点研究牙鲆鱼越冬饲养期间所需的适宜温度和盐度条件,以及牙鲆对酸碱度的耐受力。研究结果表明温度是影响牙鲆在越冬期标准代谢的主要环境因子。７～１４．５℃是越冬期牙鲆能量代谢变动最低的温度区间,也是最适宜的温度范围。盐度也是影响牙鲆越冬期的环境因子,在７～１４．５℃的温度条件下,其盐度阈值下限为２０;４０仍属适宜盐度。牙鲆的耐酸力比耐碱性强,９６ｈ和４８ｈ致死的ｐＨ值分别为４．４５和４．２０,当ｐＨ值为９．３０时,牙鲆１６ｈ死亡。