磁测资料预处理中梯度改正问题探讨

在地质矿产调查、地球物理勘探中,高精度磁测以经济、实用、快捷等特点,在寻找铁磁类矿物及构造中被广泛应用,但在磁测工作中,资料预处理正常场梯度改正比较繁琐,误差又比较大,笔者通过论述和实列对比,指出了目前磁测规范中正常场梯度改正存在的问题,并对正常场梯度改正方法进行了一定的探讨,提出了精度较高的正常场梯度改正方法,同时还提出了一种快捷的磁异常计算方法,使得磁测资料预处理更加简便、准确。     

The application of cluster analysis in geophysical data interpretation

A clustering algorithm that is based on density and is adaptive density-reachable is developed and presented for arbitrary data point distributions in some real-world applications, especially in geophysical data interpretation. Through comparisons of the new algorithm and other algorithms, it is shown that the new algorithm can reduce the dependency of domain knowledge and the sensitivity of abnormal data points, that it can improve the effectiveness of clustering results in which data are distributed in different shapes and different densities, and that it can get a better clustering efficiency. The application of the new clustering algorithm demonstrates that data mining techniques can be used in geophysical data interpretation and can get meaningful and useful results, and that the new clustering algorithm can be used in other real-world applications.     

华北克拉通中生代以来基性岩墙群的分布及研究意义

围绕岩石圈破坏和减薄这个主题,华北克拉通成为近10年来国内外研究的热点地区。华北克拉通中生代以来基性岩墙群分布广泛,然而对此仍缺乏系统的研究。通过对基性岩墙群的系统总结,在详尽的资料收集和已有研究的基础上,重点对华北克拉通中生代基性岩墙群的研究现状、分布和意义进行了汇总和讨论。随后,结合近年来的研究经验,提出了基性岩墙群定年中应注意的问题。     

世界页岩气勘探开发现状及对中国的启示

页岩气是一种潜在资源量巨大的非常规天然气资源,具有开采技术要求高、开采寿命长、稳产周期长的特点。近些年来,严峻的能源紧张形势和能源价格的快速增长,使页岩气资源在全世界受到了广泛的重视。回顾了美国页岩气勘探开发的历史,总结了美国的页岩气发育情况,跟踪了世界其他地区(加拿大、欧洲)包括中国页岩气研究的最新进展情况。根据前人的资料,认为中国南方海相页岩和北方盆地的湖相页岩具有巨大的页岩气资源潜力。鉴于页岩气是一种非常规能源,对其研究具有重大的现实意义,建议中国相关部门加大研究投入力度,尽快开展页岩气资源战略调查和选区研究工作,加强技术攻关创新、引进和国际合作,探讨中国现实国情下的页岩气相关政策,以早日实现页岩气在中国的商业性开发,促进经济快速发展。     

转换点位置对转换波速度分析精度的影响

在多波地震勘探中,转换点位置的求取精度直接影响共转换点道集的抽取,进而影响转换波速度分析的精度。利用DSR方程,对比了用不同的转换点计算方法进行转换波速度分析,分析其计算精度。     

安阳矿区煤与瓦斯突出预测模型的建立与应用

利用灰色关联分析法确定控制矿井煤与瓦斯突出的主导因素,根据人工神经网络建立煤与瓦斯突出危险性预测的系统结构,在此基础上,选用突出矿井的15个煤与瓦斯突出实例作为学习样本对网络进行训练,最后运用3个煤与瓦斯突出实例作为预测样本对所建模型进行验证。结果表明利用灰色理论—神经网络方法建立的预测模型能够满足煤与瓦斯突出预测的要求。通过分析和计算安阳矿区煤层的开采深度、地质构造(尤其是断层)与突出危险程度关系密切,在煤与瓦斯突出的预测、防治工作中可以作为首选指标来考虑。     

Spatial patterns and environmental associations of deep scattering layers in the northwestern subtropical Pacific Ocean

The mesopelagic communities are important for food web and carbon pump in ocean, but the large-scale studies of them are still limited until now because of the difficulties on sampling and analyzing of mesopelagic organisms. Mesopelagic organisms, especially micronekton, can form acoustic deep scattering layers (DSLs) and DSLs are widely observed. To explore the spatial patterns of DSLs and their possible influencing factors, the DSLs during daytime (10:00–14:00) were investigated in the subtropical northwestern Pacific Ocean (13°–23.5°N, 153°–163°E) using a shipboard acoustic Doppler current profiler at 38 kHz. The study area was divided into three parts using k-means cluster analysis: the northern part (NP, 22°–24°N), the central part (CP, 17°–22°N), and the southern part (SP, 12°–17°N). The characteristics of DSLs varied widely with latitudinal gradient. Deepest core DSLs (523.5 m±17.4 m), largest nautical area scattering coefficient (NASC) (130.8 m2/n mile2±41.0 m2/n mile2), and most concentrated DSLs (mesopelagic organisms gathering level, 6.7%±0.7%) were observed in NP. The proportion of migration was also stronger in NP (39.7%) than those in other parts (18.6% in CP and 21.5% in SP) for mesopelagic organisms. The latitudinal variation of DSLs was probably caused by changes in oxygen concentration and light intensity of mesopelagic zones. A positive relationship between NASC and primary productivity was identified. A four-months lag was seemed to exist. This study provides the first basin-scale baselines information of mesopelagic communities in the northwest Pacific with acoustic approach. Further researches are suggested to gain understandings of seasonal and annual variations of DSLs in the region.     

A hybrid forecasting model for depth-averaged current velocities of underwater gliders

In this paper, we propose a hybrid forecasting model to improve the forecasting accuracy for depth-averaged current velocities (DACVs) of underwater gliders. The hybrid model is based on a discrete wavelet transform (DWT), a deep belief network (DBN), and a least squares support vector machine (LSSVM). The original DACV series are first decomposed into several high- and one low-frequency subseries by DWT. Then, DBN is used for high-frequency component forecasting, and the LSSVM model is adopted for low-frequency subseries. The effectiveness of the proposed model is verified by two groups of DACV data from sea trials in the South China Sea. Based on four general error criteria, the forecast performance of the proposed model is demonstrated. The comparison models include some well-recognized single models and some related hybrid models. The performance of the proposed model outperformed those of the other methods indicated above.     

FIO-ESM v2.0 CORE2-forced experiment for the CMIP6 Ocean Model Intercomparison Project

We introduced the Coupled Model Intercomparison Project Phase 6 (CMIP6) Ocean Model Intercomparison Project CORE2-forced (OMIP-1) experiment by using the First Institute of Oceanography Earth System Model version 2.0 (FIO-ESM v2.0), and comprehensively evaluated the simulation results. Unlike other OMIP models, FIO-ESM v2.0 includes a coupled ocean surface wave component model that takes into account non-breaking surface wave-induced vertical mixing in the ocean and effect of surface wave Stokes drift on air-sea momentum and heat fluxes in the climate system. A sub-layer sea surface temperature (SST) diurnal cycle parameterization was also employed to take into account effect of SST diurnal cycle on air-sea heat ?uxes to improve simulations of air-sea interactions. Evaluations show that mean values and long-term trends of significant wave height were adequately reproduced in the FIO-ESM v2.0 OMIP-1 simulations, and there is a reasonable fit between the SST diurnal cycle obtained from in situ observations and that parameterized by FIO-ESM v2.0. Evaluations of model drift, temperature, salinity, mixed layer depth, and the Atlantic Meridional Overturning Circulation show that the model performs well in the FIO-ESM v2.0 OMIP-1 simulation. However, the summer sea ice extent of the Arctic and Antarctic is underestimated.     

三种扇贝挥发性风味物质指纹图谱分析

为探究海湾扇贝(Argopecten irradians)、栉孔扇贝(Chlamys farreri)、虾夷扇贝(Patinopecten yessoensis)三种扇贝闭壳肌的挥发性风味物质差异,采用气相色谱-离子迁移谱(gas chromatography-ion mobility spectroscopy,GC-IMS)技术,对三种扇贝闭壳肌在新鲜(40℃)和加热(100℃)情况下进行挥发性成分分析。结果表明:在新鲜状态下,海湾扇贝(HWSB-F)、栉孔扇贝(ZKSB-F)、虾夷扇贝(XYSB-F)闭壳肌中,共定性出27种挥发性风味物质,其中醛类8种,醇类5种,酮类5种,酯类3种,以及醚类、苯类、酸类、烯类和噻唑等。在加热情况下,海湾扇贝(HWSB-C)、栉孔扇贝(ZKSB-C)、虾夷扇贝(XYSB-C)闭壳肌中共定性出52种挥发性风味物质,其中醛类20种,酯类5种,酮类7种,醇类8种,烯类4种,酸类2种,醚类2种,还包括吡嗪、胺类、苯类、含氧杂环等物质。对三种扇贝闭壳肌新鲜组和加热组指纹图谱进行分析,发现新鲜扇贝原有的挥发性风味物质加热后减少,且产生了新的其他种类的挥发性风味物质。扇贝闭壳肌加热组的挥发性风味物质种类较多,组成比较复杂,新鲜组的扇贝闭壳肌挥发性风味物质种类较少,组成简单。通过主成分分析,可在新鲜状态和加热状态下,有效区分三种扇贝闭壳肌组织。三种扇贝闭壳肌挥发性风味物质指纹图谱的建立,丰富了不同扇贝呈味物质的组成成分研究内容,证明GC-IMS技术可快速鉴别三种去壳扇贝闭壳肌的种类,为不同种扇贝闭壳肌以次充好提供检测依据。