青藏高原北部铁路沿线移动冰丘的特征及其灾害效应

青藏高原北部常年冻土地区部分断裂破碎带发育移动冰丘。青藏铁路沿线典型移动冰丘包括不冻泉活动断裂诱发移动冰丘、乌丽活动断裂诱发86道班移动冰丘、二道沟盆南断裂破碎带桥梁施工诱发雅玛尔河移动冰丘、断裂破碎带桥基施工诱发83道班移动冰丘和乌丽盆北断裂破碎带DK1202+668大桥中部桥墩施工诱发85道班移动冰丘。移动冰丘的形成演化与活动断裂、地下水运动、气温变化存在动力学成因联系,是青藏高原北部常年冻土地区内动力与外营力相互耦合的标志和产物。移动冰丘能够穿刺公路路基、拱曲破坏涵洞结构、导致桥梁墩台破裂和输油管道拱曲变形,产生显著的灾害效应,成为高寒环境地质灾害的重要类型。采用适当的工程措施,通过疏导、排放地下泉水,能够有效地防治移动冰丘及灾害效应。     

涡北河网区三维地震采集技术

涡北勘探区属于河网地带,难以进行正常的地震施工。为此,本文提出了一种以规则束状观测为基础和特殊观测系统相结合的数据采集方法。该方法适应了这种复杂的地表条件,获得了"空白区"的地震资料,为今后类似地表条件地区的三维地震勘探提供了经验。      

鄱阳湖流域径流模型

流域径流是鄱阳湖主要来水,建立鄱阳湖流域径流模型对揭示湖泊水量平衡及其受流域自然和人类活动的影响具有重要意义.针对鄱阳湖-流域系统的特点:流域面积大(16.22×104km2)、多条入湖河流、湖滨区坡面入湖径流等,研究了相应的模拟方法,建立了考虑流域土壤属性和土地利用空间变化的鄱阳湖流域分布式径流模型.采用6个水文站1991-2001年的实测河道径流对模型进行了率定和验证.结果显示,模型整体模拟精度较高.其中,赣江、信江和饶河均取得了较好的模拟结果,月效率系数为0.82-0.95;抚河和修水模拟精度略低,为0.65-0.78.模型揭示了研究时段内年平均入湖径流总量为1623×108m3,其中,赣江最多,占47%,其次为信江和抚河,分别占13%和12%,湖滨区坡面入湖径流约占4%,其余24%来自饶河、修水以及其它入湖支流.模型将用于评估流域下垫面或气候变化引起的入湖水量变化,为湖泊水量平衡计算提供依据.     

春播期亚欧环流形势的客观分型及其在物理-统计预报中的应用

本文对1972—1978年七年春播期(3月27日—5月10日)500mb亚欧环流形势,应用变K-均值聚类法进行客观分型,共得九型。对它们和春播期四种主要中期天气过程——连阴雨和低温连阴雨、过程性天气、连晴,用对应分析方法数量化。以环流形势与同期的北半球500mb波谱分析中选出的物理量作为因子,对天气过程类型作出了逐步回归和AID聚类的统计推断。 对1979、80年春播期作了预报检验,效果尚好。     

一种四维绘图软件Vis5d使用要点简述

Vis5D是美国威士康星-麦迪逊大学空间科学与工程中心(SSEC)研制的可视化系统,主要有Bill Hibbard 和Johan Kellum 完成.Vis5D能够直观而清晰地显示3维立体图形,适用于中尺度研究结果,尤其是云物理结构研究.本文介绍了Vis5D的安装过程以及数据文件转换为v5d格式的方法,并以GRAPES数值模式输出产品为例进行了初步的可视化试验.     

云南滇池微生物对磷循环与沉积作用的实验研究

对滇池磷的现代沉积作用的研究中发现,滇池微生物种群和数量繁多,但能对磷溶解、转化、迁移、聚集、沉积的微生物主要有解磷菌和聚磷菌两类。在底泥磷高含量区域,解磷菌的种群和数量与底泥磷含量成负相关关系,与水体磷含量成正相关关系,而聚磷菌的种群和数量与底泥磷含量成正相关关系,与水体磷含量成负相关关系;在底泥磷低含量区域,上述相关性则相反。表明当解磷菌的种群与繁衍量大于聚磷菌的种群和繁衍量时,底泥中的磷向水体迁移,反之,水体中的磷向底质迁移、聚集。这个事实令人信服的证明了微生物对磷循环的重要作用。滇池这种活着的微生物在自然环境条件下对磷的溶解、转化、迁移、聚集和沉积的作用,对古磷块岩微生物成矿说提供了可靠的证据,且对以磷为限制性因子的湖、海、江河环境污染的防治提供了理论资料。     

The Ulva prolifera genome reveals the mechanism of green tides

The genome of green microalgae has rarely been reported. Ulva prolifera is a green microalga that has received much attention. Despite research articles about U...     

Predicting the entire soil-water characteristic curve using measurements within low suction range

The soil-water characteristic curve(SWCC) is widely used in the design and evaluation in the practice of geotechnical and geoenvironmental engineering such as the slope stability under the influence of environmental factors. The SWCC has distinct features in the capillary and adsorption zones due to different physical mechanisms. Measurements of the SWCC are typically limited within the capillary zone(i.e., low suction range). It is cumbersome and time-consuming to measure the SWCC in the adsorption zone(i.e., high suction range). This study presents a simple method to predict the entire SWCC within both the capillary and adsorption zones, using measured data only from low suction range(e.g., from 0 to 500 kPa). Experimental studies were performed on a completely weathered granite residual soil to determine its entire SWCC from saturated to dry conditions. The resultant SWCC, along with the SWCC measurements of 14 soils reported in the literature, were used to validate the proposed method. The results indicate that the proposed method has good consistency with a wide array of measured data used in this study. The proposed method is easy to use as it only requires a simple parameter calibration for a commonly used SWCC model. It can be used to improve the reliability in the prediction of the SWCC over the entire suction range when measurements are limited within the low suction range.     

Building a model-based personalised recommendation approach for tourist attractions from geotagged social media data

When travelling, people are accustomed to taking and uploading photos on social media websites, which has led to the accumulation of huge numbers of geotagged photos. Combined with multisource information (e.g. weather, transportation, or textual information), these geotagged photos could help us in constructing user preference profiles at a high level of detail. Therefore, using these geotagged photos, we built a personalised recommendation system to provide attraction recommendations that match a user's preferences. Specifically, we retrieved a geotagged photo collection from the public API for Flickr (Flickr.com) and fetched a large amount of other contextual information to rebuild a user's travel history. We then created a model-based recommendation method with a two-stage architecture that consists of candidate generation (the matching process) and candidate ranking. In the matching process, we used a support vector machine model that was modified for multiclass classification to generate the candidate list. In addition, we used a gradient boosting regression tree to score each candidate and rerank the list. Finally, we evaluated our recommendation results with respect to accuracy and ranking ability. Compared with widely used memory-based methods, our proposed method performs significantly better in the cold-start situation and when mining ‘long-tail’ data.     

中国金红石矿床成矿地质条件及成矿远景

中国金红石矿床成因类型不一,控矿因素各异。通过对地层、构造(包括大地构造环境及褶皱)等控矿因素,区域变质作用、岩浆作用、热液作用、风化及沉积作用等成矿地质条件及矿床分布等规律的归纳与研究,提出了陕西石泉-镇坪、陕西丹凤-西峡、河南南召-方城、湖北枣阳-河南新县、湖北英山-潜山、江苏徐州-东海、山东栖霞-荣城、山西代县-河北涞水、四川会东9个金红石成矿远景区。并圈定出山东省荣城曲家、安徽凤阳板桥、湖北郧西土门—涧池、湖北七里坪大悟仙山、山西代县义成沟—羊廷寺、河北涞源司各庄、河北丰宁黄土梁等7个找矿靶区。