中国大陆岩石圈结构篱笆图及其说明——10条GGT地球物理资料

利用中国陆地 10条GGT地球物理资料编制中国岩石圈篱笆图 ,并加以说明。通过对地球物理特征和地质学分析 ,认为以大兴安岭—太行山—武陵山重力梯级带和青藏高原周边重力梯级带为界 ,可把中国陆地划分 3个岩石圈构造单元。中国陆壳既有三分结构也存在二分结构 ;对地壳中存在的低速带、高导带和天然地震带进行了划分。以大兴安岭—太行山—武陵山重力梯级带为界 ,两侧盆地具有不同的地球物理特征 ,这些特征与构造运动、均衡调整过程有关。莫霍面几乎遍布全国 ,它具有内部结构。下部地壳底部存在的地球物理异常与莫霍面有关 ,也可能与岩石圈地幔的变化有关。     

基于小波分析的矿井工作面涌水量评价

矿井涌水量预测预报是矿井开采过程中防治水害的重要环节。应用小波多尺度理论对工作面涌水量、自然电位及直接充水含水层水位进行研究,揭示其规律性,以解决涌水量估计问题。通过对三类数据进行小波分解与重构发现,第二层低频重构信号与三者之间具有规律性：水位下降引起自然电位升高,导致涌水量增大;水位回升、自然电位减低时,对应工作面涌水量减小。分析结果表明,第二层高频重构细节信息表现为高水位(小降深)、低电位(电性差异小)对应小涌水量和低水位(大降深)、高电位(电性差异大)对应大涌水量。     

辽宁盖县梁屯—矿洞沟碱性正长岩杂岩体的U—Pb和Sm—Nd年龄及其地质意义

辽宁梁屯 -矿洞沟杂岩体主要由辉石正长岩、霓辉正长岩和霓辉角闪正长岩等碱性岩石组成 ,具有全岩 Rb- Sr等时线年龄 186 6± 115 Ma和 ISr=0 .70 4 9的同位素特征 ,是我国目前报道的最古老的碱性正长岩类。本文报道了该岩体的锆石U- Pb和全岩 Sm- Nd同位素测试资料 ,获得了锆石 U- Pb同位素年龄为 185 7± 2 0 Ma、Sm- Nd等时年龄为 1787± 180 Ma、εNd(t) =- 4 .8～ - 5 .0的数据。它们反映出该杂岩体形成年龄的上限为 185 7± 2 0 Ma、下限不小于 1787± 180 Ma,来源于富集地幔物质。基于这些数据并结合区域地质资料分析 ,作者提出了华北地台北缘古元古宙存在有富集地幔储库 ,以及辽河群主体形成于 190 0 Ma以前的认识     

试论国外河流地貌学的进展

本文分四个阶段论述国外河流地貌学研究的发展,阐述了现代河流地貌学在一些领域中取得的成就,以及研究方法和技术的进展。     

华南季风降水对应的环流指数

利用NCEP再分析资料及台站和格点降水量资料分析了华南季风降水与周边大气环流的关系,并由此建立了反映6月华南降水强度的季风指数,这一季风指数利用菲律宾及其以东与华南850 hPa涡度差定义。华南季风指数具有很好的区域代表性,华南季风指数与亚洲格点日降水量的主要正相关区集中在华南。华南季风指数可以很好地描述华南降水的年际变化和极端年份,季风指数强 (弱) 的年份也是华南降水偏多 (少) 的年份,极端的华南季风指数年份对应极端的华南降水年份。华南季风指数高与低年份对应的华南降水量差值通过了0.01的显著性检验。在年代际尺度上,季风指数强 (弱) 的年代与华南降水偏多 (少) 的年代有很好的对应关系。华南季风指数包含了西南季风、副热带高压以及中高纬度西风槽等各影响系统的信息,可在业务上使用。     

西藏改则县多不扎地区上侏罗统对望山组的建立及意义

对望山组是发育在羌南板块南缘的一套岩石组合,以安山岩、流纹岩、玄武质凝灰岩为主,有少量的玄武安山岩夹层,具有明显的岩浆喷出相和沉积相韵律分布的特点。利用LA-ICP-MS同位素定年技术对对望山组安山岩中的锆石进行了U-Pb同位素测年,获得锆石的~(206)Pb/~(238)U年龄加权平均值为150.5±0.6Ma,表明对望山组的形成时代为晚侏罗世中晚期,在详细剖面测制和区域对比的基础上建立了对望山组。对望山组的建立对完善班公湖-怒江缝合带的地层系统、探讨班公湖-怒江洋的晚侏罗世构造演化具有重要的地质意义。     

Dispersion features of transmitted channel waves and inversion of coal seam thickness

In-seam seismic survey currently is a hot geophysical exploration technology used for the prediction of coal seam thickness in China. Many studies have investigated the relationship between the group velocity of channel wave at certain frequency and the actual thickness of exposed coal beds. But these results are based on statistics and not universally applicable to predict the thickness of coal seams. In this study, we first theoretically analyzed the relationship between the depth and energy distribution of multi-order Love-type channel waves and found that when the channel wave wavelength is smaller than the thickness of the coal seam, the energy is more concentrated, while when the wavelength is greater than the thickness, the energy reduces linearly. We then utilized the numerical simulation technology to obtain the signal of the simulated Love-type channel wave, analyzed its frequency dispersion, and calculated the theoretical dispersion curves. The results showed that the dispersion characteristics of the channel wave are closely related to the thickness of coal seam, and the shear wave velocity of the coal seam and its surrounding rocks. In addition, we for the first time realized the joint inversion of multi-order Love-type channel waves based on the genetic algorithm and inversely calculated the velocities of shear wave in both coal seam and its surrounding rocks and the thickness of the coal seam. In addition, we found the group velocity dispersion curve of the single-channel transmitted channel wave using the time–frequency analysis and obtained the phase velocity dispersion curve based on the mathematical relationship between the group and phase velocities. Moreover, we employed the phase velocity dispersion curve to complete the inversion of the above method and obtain the predicted coal seam thickness. By comparing the geological sketch of the coal mining face, we found that the predicted coal seam thickness is in good agreement with the actual thickness. Overall, adopting the channel wave inversion method that creatively uses the complete dispersion curve can obtain the shear wave velocities of the coal and its surrounding rocks, and analyzing the depth of the abruptly changed shear wave velocity can accurately obtain the thickness of the coal seam. Therefore, our study proved that this inversion method is feasible to be used in both simulation experiments and actual detection.     

团体粒子群与最大能量串行融合算法转换波静校正

估计转换波的静校正量是一个复杂的非线性问题,常规的线性静校正方法无法取得好的效果.粒子群算法是一种很好的非线性全局最优化方法,但其缺点是"早熟"现象严重.最大能量法是一种常规求取静校正量的方法,局部寻优能力强且收敛速度快是其优点,但是当地震记录含有大的静校正量时易收敛于局部极值.本文在标准粒子群算法的基础上发展出了一种改进的粒子群算法:团体粒子群算法.并且通过对Rastrigin函数的寻优实验证明了其全局寻优能力优于标准粒子群算法.同时为了解决转换波静校正问题串行融合了团体粒子群算法和最大能量法.最后,建立了含一个水平反射层的模型并合成地震记录,加入随机值作为检波点静校正量.对合成的地震数据分别利用团体粒子群和最大能量的串行融合算法、标准粒子群算法和最大能量法求取静校正量并进行静校正.结果证明串行融合算法得到的静校正量与理论值误差很小,静校正后的叠加剖面连续性较好.     

Radium-traced nutrient outwelling from the Subei Shoal to the Yellow Sea: Fluxes and environmental implication

The Subei Shoal is the largest sandy ridge in the southern Yellow Sea and is important source for nutrient loading to the sea. Here, the nutrient fluxes in the Subei Shoal associated with eddy diffusion and submarine groundwater discharge（SGD） were assessed to understand their impacts on the nutrient budget in the Yellow Sea. Based on the analysis of 223 Ra and 224 Ra in the field observation, the offshore eddy diffusivity mixing coefficient and SGD were estimated to be 2.3×10⁸ cm     

Distinguishing streamflow trends caused by changes in climate,forest cover,and permafrost in a large watershed in northeastern China

Understanding how rivers respond to changes in land cover, climate, and subsurface conditions is critical for sustainably managing water resources and ecosystems. In this study, long‐term hydrologic, climate, and satellite data (1973–2012) from the Upper Tahe River watershed (2359 km²) in the Da Hinggan Mountains of northeast China were analysed to quantify the relative hydrologic effects of climate variability (system input) and the combined influences of forest cover change and permafrost thaw (system characteristics) on average annual streamflow (system response) using 2 methods: the sensitivity‐based method and the Kendall–Theil robust line method. The study period was subdivided into a forest harvesting period (1973–1987), a forest stability period (1988–2001), and a forest recovery period (2002–2012). The results indicated that the combined effects of forest harvesting and permafrost thaw on streamflow (+ 47.0 mm) from the forest harvesting period to the forest stability period was approximately twice as large as the effect associated with climate variability (+20.2 mm). Similarly, from the forest stability period to the forest recovery period, the decrease in average annual streamflow attributed to the combined effects of forest recovery and permafrost thaw (?38.0 mm) was much greater than the decrease due to climate variability (?22.2 mm). A simple method was used to separate the distinct impacts of forest cover change and permafrost thaw, but distinguishing these influences is difficult due to changes in surface and subsurface hydrologic connectivity associated with permafrost thaw. The results highlight the need to consider multiple streamflow drivers in future watershed and aquatic ecosystem management. Due to the ecological and hydrological susceptibility to disturbances in the Da Hinggan Mountains, forest harvesting will likely negatively impact ecohydrological processes in this region, and the effects of forest species transition in the forest recovery process should be further investigated.