全新世以来毛乌素沙地东南缘成壤环境演变研究——以榆林镇北台为例

古土壤是重建古环境重要的信息源。毛乌素沙地东南缘的古土壤在发育程度上尚未有明确解释。陕西省榆林市的镇北台地区位于毛乌素沙地东南边缘,对气候响应敏感。本文选取厚度为524 cm的镇北台(ZBT)剖面,按照古土壤2 cm、风成砂5 cm的间隔共采集古土壤样品156个,风成砂样品58个。基于6个AMS14C和3个OSL年代样品,推测剖面古土壤底部年龄为10 cal.ka B.P.,顶部年龄为3.2 cal.ka B.P.;并结合土壤微形态特征,对镇北台剖面沉积物中常量元素特征与成壤强度进行分析探讨。结果表明,镇北台(ZBT)剖面常量元素组成以SiO2、Al2O3和Na2O为主。CIA指数指示剖面处于脱Ca、Na为主的初级风化阶段,反映了毛乌素沙地东南缘全新世以来可能以相对干旱的气候环境为主,风化成壤作用较弱,但其中也不乏幅度较小的冷暖气候旋回。土壤微形态特征也表明ZBT剖面风化程度较弱,主要矿物由石英、长石、云母和岩屑矿物构成,可见胶结物和泥岩岩屑等土壤形成物。其成壤强度变化与化学元素特征表现一致:10.0~8.1 cal.ka B.P.左右,成壤较弱,气候向暖湿转变;6.9 cal.ka B.P.左右,成壤作用稍有加强;5.5~3.7 cal.ka B.P.左右,成壤作用最强,气候相对暖湿,化学、生物风化加强,但此阶段具有明显的不稳定性.     

基于叠前深度偏移的AVO反演在神狐海域试采区的应用

为了更好地研究神狐海域试采区天然气水合物的展布形态和赋存状况,基于高精度层析速度反演后的叠前深度偏移地震资料进行AVO反演技术研究。为在天然气水合物富集区有效地进行AVO研究,AVO处理前运用叠前深度偏移技术,通过高精度层析反演不断迭代速度模型;然后通过偏移来改善资料的质量,结合实测钻井资料进行AVO正演分析、反演可行性分析、属性交会分析;最后将具有高横向分辨能力的地震资料和高垂向分辨能力的测井资料与地质相结合进行叠前同时反演。该方法可反演出纵、横波阻抗等属性,直接进行岩性和流体识别,结果表明,在AVO反演中引入叠前深度偏移技术,为反演提供了较高质量的叠前共反射点道集和精细的层速度模型,改善了AVO技术在试采区的应用效果,提高了反演的可靠性。反演出的各种属性为AVO分析提供了丰富的信息,能够比较准确地反映地下水合物矿体的展布情况,可用于后续水合物储层的分析及综合研究,对未来的水合物勘探开采具有重要的现实意义。     

富磷矿三阶段动态成矿模式:黔中开阳式高品位磷矿成矿机制

震旦系陡山沱组沉积期形成的黔中开阳、瓮安富磷矿沉积区,矿石产量大、品位高,是国内外重要的磷矿资源产区。黔中磷矿主要分布于黔中古陆周缘的滨浅海环境中,矿石类型以碎屑状磷块岩为主,间夹原生泥晶磷块岩、生物结构磷块岩和次生土状结构磷块岩。开阳式高品位磷块岩的动态沉积成矿过程通常为“三阶段成矿”: 第一阶段为初始成磷作用阶段,在新元古代大规模成磷背景下,上升洋流携带深部富磷海水进入滨浅海地区,并通过生物化学作用使磷质聚集并形成原生磷块岩沉积;第二阶段为簸选成矿作用阶段,高能波浪、风暴水流对原生磷块岩持续的破碎、磨蚀、搬运和再沉积过程中,簸选去除了原生沉积物中的陆源细碎屑、砂泥质成分,保留并聚集磷质碎屑颗粒,形成品位较高的碎屑状矿石;第三阶段为淋滤作用阶段,海平面升降变化使之前形成矿石受暴露事件影响,遭受强烈的风化淋滤作用,碎屑状磷矿石内的碳酸盐岩胶结物和白云石条带被淋滤运移,导致矿层发育大量溶蚀孔洞,甚至形成土状磷块岩,矿石品位再次得到大幅度提升。三阶段成矿作用随古地理条件和海平面变化在沉积成岩过程中多期次、动态进行,最终形成工业价值极高的磷矿石。     

基于数学形态学的位场数据边缘增强方法

位场数据边缘增强对于地质构造研究和矿床勘查具有重要意义。现有的边缘增强方法多数基于位场数据的导数构建,往往存在对噪声敏感的缺点,且处理结果中常有虚假边界的出现。本文基于数学形态学良好的形状分析和噪声压制性能,通过数学形态学基本算子的组合叠加,提出了一种新的位场数据边缘增强方法。该方法容易实现,且不需要计算位场数据的水平和垂向导数。板状体模型试验结果表明,该方法能有效地对重力异常和化极后的磁异常数据进行边缘增强。针对三维模型试验中正负异常同时存在的情况,相比以往几种方法,该方法输出的边缘更清晰且没有额外边缘的产生,并表现出更强的抗噪能力。最后将该方法和以往几种方法应用到老挝万象地区实际重力异常数据的处理中,结果显示该方法刻画出的边缘更加连续清晰;同时结合以往地质资料,推断了成矿的有利部位。     

Micromechanism of the diffusion of cement-based grouts in porous media under two hydraulic operating conditions: constant flow rate and constant pressure

Acta Geotechnica - Cement-based grout has been widely used in various civil engineering applications. The diffusion of cement-based grouts in porous media is an important issue in soil sealing and...     

Clogging of saturated porous media by silt‐sized suspended solids under varying physical conditions during managed aquifer recharge

Managed aquifer recharge is an effective method for utilizing excess flood flows, but clogging of porous media is a limiting factor in the implementation of this water storage technique. In recent years, much research on the physical clogging of porous media during artificial recharge has been conducted. However, the understanding of clogging due to silt‐sized suspended solids (SS) is still inadequate, especially under varying physical conditions. Here, we subjected sand columns to controlled rates of flow and SS suspensions to investigate the influence of media size, SS size, SS concentration, and flow velocity on the clogging of porous media by silt‐sized SS. The results show that the diameter ratio of SS particles to sand grains is the dominant factor influencing the position of physical clogging. As pore velocity increased, the mobility of silt‐sized SS was enhanced and retention in the porous media decreased noticeably. The spatial retention profiles in the porous media were found to vary greatly at different flow velocities. The SS concentration of the infiltrating suspension also dramatically influenced the mobility and deposition of silt‐sized SS particles, such that high concentrations accelerated the clogging process. As the different physical factors changed, the breakthrough curves and retention profiles of silt‐sized SS particles changed obviously and the mechanisms of retention differed. On the whole, clogging position is mainly determined by particle size ratio, but clogging rate is dominated by a variety of factors including particle size ratio, SS concentration, and flow velocity.     

A meta-analysis of the impacts of forest logging on soil CO_2 efflux

Soil CO_2 efflux, the second largest flux in a forest carbon budget, plays an important role in global carbon cycling. Forest logging is expected to have large effects on soil CO_2 efflux and carbon sequestration in forest ecosystems. However, a comprehensive understanding of soil CO_2 efflux dynamics in response to forest logging remains elusive due to large variability in results obtained across individual studies. Here, we used a meta-analysis approach to synthesize the results of 77 individual field studies to determine the impacts of forest logging on soil CO_2 efflux. Our results reveal that forest logging significantly stimulated soil CO_2 efflux of the growing season by 5.02%. However, averaged across all studies, nonsignificant effect was detected following forest logging. The large variation among forest logging impacts was best explained by forest type, logging type, and time since logging. Soil CO_2 efflux in coniferous forests exhibited a significant increase(4.38%) due to forest logging, while mixed and hardwood forests showed no significant change. Logging type also had a significant effect on soil CO_2 efflux, with thinning increasing soil CO_2 efflux by 12.05%, while clear-cutting decreasing soil CO_2 efflux by 8.63%. The time since logging also had variable effects, with higher soil CO_2 efflux for 2 years after logging, and lower for 3-6 years after logging; when exceeded 6 years, soil CO_2 efflux increased. As significantly negative impacts of forest logging were detected on fine root biomass, the general positive effects on soil CO_2 efflux can be explained by the accelerated decomposition of organic matter as a result of elevated soil temperature and organic substrate quality. Our results demonstrate that forest logging had potentially negative effects on carbon sequestration in forest ecosystems.     

A method for evaluating the longitudinal functional connectivity of a river–lake–marsh system and its application in China

The longitudinal functional connectivity of a river–lake–marsh system (RLMS) refers to the actual water-mediated transport of material from upstream to downstream areas along a spatial gradient and is fundamental to understand hydrological and biogeochemical cycles. However, due to a lack of consensus on appropriate data and methods, the quantification of connectivity is still a challenge, especially at the catchment scale. We developed a new method to evaluate longitudinal functional connectivity based on fluxes of materials (water, sediment, and chemicals) along a RLMS. The calculation of fluxes is based on the longitudinal pattern of terrain gradient, which influences transport efficiency, and on contributions from hillslopes, which set the initial spatial template of material loading to the RLMS. We evaluate the contributions from hillslopes to RLMS based on a new modified version of the index of sediment connectivity (IC) proposed by Borselli et al. (2008) and revised by Chartin et al. (2017).We applied this method to the Baiyangdian Basin covering an area of 3.4 × 10⁴ km² in China and quantified longitudinal functional connectivity during normal, wet, and dry periods(April, July and December) in year 2016. We found that areas with good structural connectivity exhibited poor functional connectivity during the normal and dry periods. Modelling testing with discharge data from hydrological stations and measured chemicals from Baiyangdian Lake was satisfactory in test periods. We conclude that public data and Digital Elevation Model-derived information can be used to reliably map the longitudinal functional connectivity of RLMSs. The proposed method provides a useful tool for monitoring and restoring the longitudinal functional connectivity of RLMSs and our results indicate that efforts aimed at restoring functional connectivity in RLMSs should take into account landscape patterns that can greatly influence fluxes in the watershed.     

The vertical influence of temperature and precipitation on snow cover variability in the Central Tianshan Mountains,Northwest China

Seasonal snow cover in mountainous regions will affect local climate and hydrology. In this study, we assessed the role of altitude in determining the relative importance of temperature and precipitation in snow cover variability in the Central Tianshan Mountains. The results show that: (a) in the study area, temperature has a greater influence on snow cover than precipitation during most of the time period studied and in most altitudes. (b) In the high elevation area, there is a threshold altitude of 3,900 ± 400 m, below which temperature is negatively correlated whereas precipitation is positively correlated to snow cover, and above which the situation is the opposite. Besides, this threshold altitude decreases from snow accumulated period to snow stable period and then increases from snowmelt period to snow‐free period. (c) Below 2,000 m, there is another threshold altitude of 1,400 ± 100 m during the snow stable period, below (above) which precipitation (temperature) is the main driver of snow cover.     

Co-production of Tight Gas and Coalbed Methane from Single Wellbore: a Simulation Study from Northeastern Ordos Basin,China

Natural Resources Research - Focusing on vertical multi-layer superimposition of unconventional natural gas reservoirs in coal-bearing strata, research on the co-production of tight gas and coalbed...