临夏盆地新生代沉积物粒度记录与亚洲内陆干旱化

临夏盆地毛沟剖面高分辨率粒度记录研究表明,29-7.4Ma间,临夏盆地的古气候一直保持相对稳定,而其中短暂的沉积相的改变是盆地对该期间青藏高原构造隆升事件的响应;从7.4Ma开始,流域外的风尘物质开始逐步被带人盆地,并经过了6.4Ma和5.3Ma的两次加速过程,揭示了我国西北内陆干旱气候可能从7.4Ma左右开始,且在6.4Ma和5.3Ma左右经过两次加强.通过与青藏高原构造隆升事件记录和全球气候记录对比。揭示高原在9-7Ma开始的逐步隆升和期后的阶段性加速隆升以及同期开始的全球变冷,尤其北极冰盖的形成和扩张可能是亚洲内陆干旱化的重要驱动机制.     

基于水声学方法的太湖鱼类空间分布和资源量评估

利用BioSonics DT-X科学回声探测仪(208 kHz)在太湖2011年开捕前的8月对东部和北部湖区的鱼类进行了走航式水声学调查,并结合地理信息系统(GIS)模型对调查湖区的鱼类大小组成、空间分布和资源量进行了评估.结果表明,调查湖区的鱼类平均目标强度(目标鱼类对声波的反射能力)为-51.85±0.02 dB,平均体长在6 cm左右,体长范围为2.35～89.33 cm,不同区域间的鱼类目标强度差异性显著,表明不同区域间鱼类大小存在差异,其中鱼类的最小平均目标强度(-53.94±0.10 dB)出现在洞庭东西山之间,最大平均目标强度(-50.27±0.14 dB)出现在光福湾.调查湖区的鱼类密度在0.43～3.90 ind./m3之间,采用地理信息系统(GIS)对调查湖区进行建模得到鱼类密度均值为2.27±0.57 ind./m3,不同区域间鱼类密度差异性显著,鱼类密度在敞水区较高.基于建模的栅格化数据评估调查湖区鱼类资源量约为5.3×109ind.,其中目标强度在-45 dB(体长约13 cm)以下的鱼类占98.49%.本文对水声学方法在大型浅水湖泊中的应用进行了初步探索,水声学方法可在一定程度上突破传统鱼类资源调查方法在较大空间尺度上的局限性,但在调查时易受风浪、水生植物、船速的影响.     

可可西里库赛湖揭示的青藏高原北部近4000年来的干湿变化

通过青藏高原北部可可西里库赛湖KS-2006孔(深637cm)沉积岩芯总有机碳、总氮含量及沉积物粒度变化的研究,恢复了该地区近4000年来的干湿变化历史.结果表明,该地区近4000年来经历了显著的干湿变化,干旱时段出现在3900-3590cal aBP、3320-2630cal aBP、1720-1420cal aBP及1100-840cal aBP期间:湿润时段出现在3590-3320cal aBP、2630-1720cal aBP、1420-1100cal aBP以及840cal aBP之后小冰期有效降水升高的相对湿润时期.区域对比分析表明库赛湖地区近4000年来的干湿变化受亚洲季风影响;同时,该地区存在明显的中世纪暖期及小冰期的三次降温事件记录.     

Field observations of the vertical distribution of sand transport characteristics over fine,medium and coarse sand surfaces

The vertical distribution of sand transport characteristics is an important issue in aeolian research. Surface characteristics affect sand transport processes, but their effects are not yet fully understood. To provide more data on this subject, we observed sand transport in 16 field experiments above surfaces covered by fine, medium and coarse sand. The sand transport rate over relatively coarser‐grained medium and coarse surfaces could be expressed as a Gaussian peak function: q _z = a + b exp (?0.5[(|z – C _h|)/d ]^e), where q _z is the measured sediment transport at height z above the bed and a , b , C _h, d , and e are regression coefficients. The measured sand transport flux peak values (H _h) were linearly related to C _h, and both values were significantly related to the mean surface grain size. However, for the relatively finer‐grained medium and fine sand surfaces, the sediment transport could be expressed as an exponential function. The cumulative sand transport below 0.1 m was directly related to the mean surface grain size, and the relationship could be expressed as the following exponential function: C _z = f + g exp –M _z/i , where C _z is the cumulative sand transport at height z above the bed, M _z is the mean grain size and f , g , and i are regression coefficients. Above 0.1 m, there were no significant relationships between the cumulative sand transport and the mean surface grain size. The mean grain size decreased with increasing height below the peak height and then increased with increasing height. The surface grain size distribution and proportions of the particles in different grain size categories controlled the mean grain size as a function of height. The observed changes in the sand transport rate and grain size with height will provide support for sand disaster mitigation, numerical modelling and studies of dune formation. Copyright © 2016 John Wiley & Sons, Ltd.     

Subaerial gravel size measurement using topographic data derived from a UAV‐SfM approach

Accurate and reliable methods for quantifying grain size are important for river science, management and in various other sedimentological settings. Remote sensing offers methods of quantifying grain size, typically providing; (a) coarse outputs (c. 1 m) at the catchment scale where individual grains are at subpixel level, or; (b) fine resolution outputs (c. 1 mm) at the patch scale. Recently, approaches using unmanned aerial vehicles (UAVs) have started to fill the gap between these scales, providing hyperspatial resolution data (< 10 cm) over reaches a few hundred metres in length, where individual grains are at suprapixel level. This ‘mesoscale’ is critical to habitat assessments. Most existing UAV‐based approaches use two‐dimensional (2D) textural variables to predict grain size. Validation of results is largely absent however, despite significant differences in platform stability and image quality obtained by manned aircraft versus UAVs. Here, we provide the first quantitative assessment of the accuracy and precision of grain size estimates produced from a 2D image texture approach. Furthermore, we present a new method which predicts subaerial gravel size using three‐dimensional (3D) topographic data derived from UAV imagery. Data is collected from a small gravel‐bed river in Cumbria, UK. Results indicate that our new topographic method gives more accurate measures of grain size (mean residual error ‐0.0001 m). Better results for the image texture method may be precluded by our choice of texture measure, the scale of analysis or the effects of image blur resulting from an inadequate camera gimbal. We suggest that at our scale of assessment, grain size is more strongly related to 3D variation in elevation than to the 2D textural patterns expressed within the imagery. With on‐going improvements, our novel method has potential as the first grain size quantification approach where a trade‐off between coverage and resolution is not necessary or inherent. Copyright © 2017 John Wiley & Sons, Ltd.     

Infiltration of fine sediment into a coarse mobile bed: a phenomenological study

Experiments were undertaken to study the nature of granular interaction in running water by examining the influence of fine grain inputs to a coarser sediment bed with a mobile surface. Video recordings of grain sorting by both kinetic sieving and spontaneous percolation are used to diagnose the critical processes controlling the overall bed response. Kinetic sieving takes place in the mobile bed surface, with the finer sediment moving to the bottom of the bedload transport layer at the interface with the underlying quasi‐static coarse bed. We show that the behavior at this interface dictates how a channel responds to a fine sediment input. If, by spontaneous percolation, the fine sediment is able to infiltrate into the underlying quasi‐static bed, the total transport increases and the channel degrades. However, if the fine sediment input rate exceeds the transport capacity or is geometrically unable to infiltrate into the underlying bed, it forms a quasi‐static layer underneath the transport layer that inhibits entrainment from the underlying bed, resulting in aggradation and an increase in bed slope. Copyright © 2016 John Wiley & Sons, Ltd.     

Large grains matter: contrasting bed stability and morphodynamics during two nearly identical experiments

While the stabilizing function of large grains in step‐pool streams has long been recognized, the role they play in gravel‐bed streams is less clear. Most researchers have ignored the role of large grains in gravel‐bed streams, and have assumed that the median bed surface size controls the erodibility of alluvial boundaries. The experiments presented herein challenge this convention. Two experiments were conducted that demonstrate the significant morphodynamic implications of a slight change to the coarse tail of the bed material. The two distributions had the same range of particle sizes, and nearly identical bulk d₅₀ values (1.6 mm); however the d₉₀ of experiment GSD1 was slightly finer (3.7 mm) than that for experiment GSD2 (3.9 mm). Transport rates during GSD1 were nearly four times greater than during GSD2 (even though the dimensionless shear stress was slightly lower), and the channel developed a sinuous pattern with well‐developed riffles, pools and bars. During GSD2 the initial rectangular channel remained virtually unchanged for the duration of the experiment. The relative stability of GSD2 seems to be associated with a slightly larger proportion of stable (large) grains on the bed surface: at the beginning of GSD1, 3.5% of the bed was immobile, while almost twice as much of it (6.1%) was immobile at the beginning of GSD2. The results demonstrate that the largest grains (not the median size) exert first‐order control on channel stability. Copyright © 2017 John Wiley & Sons, Ltd.     

结合粒度和137Cs对小流域水库沉积物的定年——以黔中喀斯特地区克酬水库为例

对取自黔中喀斯特地区克酬水库32cm长沉积物柱样进行^137Cs比活度以及粒度测定,结合气象站点降雨数据进行比对分析,对沉积物不同层位的年代进行了划分,并以此结合质量深度推算了1960-2004年间该水库的沉积速率。结合实例分析了^137Cs沉降、运移和沉积,改进了仅依靠^137Cs峰值定年方法,认为在流域面积较小、^137Cs比活度测试绝对数值较小的流域,降水和其他条件造成的土壤侵蚀程度差异可能是造成土壤中^137Cs进入湖泊沉积物多少的更主要原因,并表现为沉积物中^137Cs不同层位的差异。     

新疆博斯腾湖沉积物粒度的古环境意义初探

湖泊沉积物的粒度分析是一种研究古环境变化常用的手段,但是其环境意义具有多解性,尤其是沙（荒）漠干旱区的湖泊沉积物粒度变化,代表的是沙尘天气的多寡强弱还是其它环境因素的变化值得细致研究。在对我国最大的内陆淡水湖—新疆博斯腾湖的沉积物短岩芯进行了^210Pbex,^137Cs定年的基础上,对近50多年沉积物的粒度进行分析,结果表明平均粒径与粗颗粒含量与区域最大河流—开都河大山口站的最大一天洪量、洪峰流量、天山巴音布鲁克站年降水量、湖泊水位变化以及湖泊附近焉耆站3-6月风力强度变化记录等环境因素对比发现,湖泊中部沉积物中粗颗粒含量变化主要反映的是入湖河流径流量、区域洪水强度及频率、山地降水,而并不反映大风天气或者湖泊水位的变化。对其近千年沉积岩芯的多指标分析结果表明,即使在数百年时间尺度上,博斯腾湖沉积物粒度的环境意义依然与十年时间尺度上一致。