Movement process analysis of the high-speed long-runout Shuicheng landslide over 3-D complex terrain using a depth-averaged numerical model

Landslides - Flow-like landslide is one of the most catastrophic types of natural hazards due to its high velocity and long travel distance. In 2019, a large catastrophic landslide was triggered by...     

河北平原廊固凹陷ACX03孔晚上新世以来地层与沉积*

基于河北平原廊固凹陷东北部ACX03孔(深300.0 m)浅部¹⁴C年龄和磁性地层,建立钻孔第四纪地层格架,依据ACX03孔岩心沉积物、测井曲线和微体古生物特征划分沉积层段并分析沉积环境。研究结果表明: ACX03孔B/M(布容/松山)、M/G(松山/高斯)极性界线分别位于83.8 m、220.2 m,孔底年龄约3.2 Ma,划分13个沉积层段。上新统(220.2~300.0 m)为河道、河漫滩夹湖泊沉积,下更新统(85.2~220.2 m)为河道、湖泊、河漫滩沉积,中更新统(61.5~85.2 m)为分支河道夹河漫滩及河间洼地—湖沼沉积,上更新统(23.2~61.5 m)为河漫滩、分支河道沉积,全新统(0~23.2 m)为泛滥平原、河曲—牛轭湖沉积。对比ACX03孔与邻近钻孔第四纪地层认为,河北平原廊坊—固安一带早更新世差异性沉降最强,之后一直到全新世越来越弱。     

黄原胶改性微米铁修复地下水中Cr(Ⅵ)污染的试验

为了解决微米铁的重力沉降问题,提高微米铁修复地下水Cr（Ⅵ）污染的原位修复效果,本文利用黄原胶对微米铁进行改性,并通过沉降实验探究改性微米铁浆液的稳定性,同时选择Cr（Ⅵ）作为目标污染物,探究黄原胶改性微米铁去除地下水Cr（Ⅵ）污染的降解能力。实验结果显示：当黄原胶的投加质量浓度分别为0.0、1.0、1.5、2.0、2.5、3.0、6.0 g/L时,改性微米铁浆液的悬浮稳定性逐渐得到加强,在5 h沉降实验结束时,对应的相对分光光度值分别为0.05、0.25、0.46、0.57、0.65、0.73和0.87;黄原胶具有抑制微米铁吸附Cr（Ⅵ）的能力,其可促进Cr（Ⅵ）的还原,提高Cr（Ⅵ）的去除率;随着黄原胶投加质量浓度的增加,对应的Cr（Ⅵ）去除率分别为33.4%、41.2%、47.4%、51.1%、53.0%、63.9%和64.1%;6.0 g/L黄原胶改性的微米铁浆液具有最佳的悬浮稳定性,黄原胶的投加提高了微米铁的反应活性,但当黄原胶投加质量浓度超过3.0 g/L时,其对Cr（Ⅵ）的去除率没有显著提高;黄原胶投加质量浓度越大,黄原胶的缓冲作用就越明显。     

大洋钻探计划运行的国际经验及对我国的启示

我国正在发起组织中国科学家牵头领导的国际大科学计划,应认真学习国际上的成功经验.国际大洋钻探计划已成功运行50余年,在运行和管理方面积累了丰富经验.我国自1998年参加大洋钻探计划以来,取得了突出成绩,但目前还只是普通成员.当前我国正在积极推进成为国际大洋钻探的共同牵头方,美国、日本和欧洲联合体的运行模式和成败得失值得我们参考借鉴.     

Compression behavior of MICP-treated sand with various gradations

Acta Geotechnica - One-dimensional compression tests on quartz sands treated by microbially induced carbonate precipitation (MICP) were carried out to evaluate the effects of gradation and calcium...     

Homogeneity and mechanical behaviors of sands improved by a temperature-controlled one-phase MICP method

Acta Geotechnica - Microbially induced carbonate precipitation (MICP) has been actively investigated as a promising method to improve soil properties. A burning issue impeding its wide application...     

地下水资源遥感评估技术研究进展

地下水的赋存和埋深是地下水资源勘察的重要内容。遥感技术具有数据获取快、综合成本低、观测尺度大等诸多优势。基于遥感的地下水资源评估技术一直受到研究人员的关注,也是遥感应用研究中的热点和难点。回顾总结了遥感技术在评估地下水赋存和埋深领域的应用与研究进展,根据不同评估技术的特点将其划分为单因子模型评估法、多因子综合模型评估法、重力卫星数据评估法3种。得出以下结论: ①地下水遥感评估技术经过多年发展,模型方法更加多样,精确度不断提高,可以作为传统地下水资源勘察的重要辅助手段; ②遥感评估地下水赋存的研究发展迅速,但针对地下水埋深信息的评估研究进展相对缓慢; ③高时空分辨率遥感技术和机器学习技术的结合运用、无人机遥感技术的应用是地下水资源遥感评估技术的未来发展方向。     

Arsenic contamination caused by roxarsone transformation with spatiotemporal variation of microbial community structure in a column experiment

Arsenic contamination from roxarsone in livestock manure is common, and livestock manure continuously accumulates in the open environment. Evaluations of the environmental processes of As mobilization and transformation are critical for predicting the fate of As compounds after roxarsone degradation. In this study, spatiotemporal variations in As species and microbial community structure were characterized using laboratory column experiments with background soil collected from Yanggu County (northern Shandong Plain, China), a region of intense poultry production. Organic and inorganic arsenic were detected by high-performance liquid chromatography (HPLC) and HPLC with hydride generation atomic fluorescence spectrometry (HPLC-HG-AFS), respectively. High-throughput sequencing technology was used to describe microbial diversity. Results showed that roxarsone was transformed completely within 7 days, and As(Ⅲ) and As(Ⅴ) were the major degradation products. The concentration of As(Ⅲ) was much lower than that of As(Ⅴ). The As(Ⅲ) concentration increased significantly after Day 14, whereas the As(Ⅴ) concentration increased significantly after Day 84, indicating that As(Ⅲ) was initially produced. The microbial community structure changed significantly as roxarsone transformed into various As compounds. A critical and dominant bacterial strain, norank_f__Family_XVⅢ, was found to be related to the degradation of roxarsone into As(Ⅲ). This study improves our understanding of the fate of As species released from poultry litter to soil and groundwater, which is a threat to human health and environment.     

多隐层BP神经网络在模式预报中的简化应用

EC细网格预报效果好,基本满足业务需要,在工作中被广泛应用。为进一步提升预报准确性,做好迪士尼园区的气象服务保障,选取2016年7月至2017年6月1年的2 m温度预报场,24 h预报时效的时间分辨率为3 h,72 h预报时效的时间分辨率为24 h,分别用回归分析法、S型和简化Line型BP神经网络法进行模式释用,与迪士尼气象站观测数据对比。结果表明:阈值为1℃时,对模式结果释用后,均方根误差减少了0.5℃到1.0℃,3—9 h和21—72 h预报时效的准确率由原来的50%和30%分别上升到70%和50%。采用S型多隐层BP神经网络误差最小,不同预报时效释用稳定性最高,同时该释用方法对t_(min)的预报特征把握更精准,释用效果明显优于对t_(max)的预报释用,但迭代计算耗费时间大幅增多,与预报效果的提升不成正比。简化Line型的BP神经网络通过8个半月的数据量和简单的网络模式,捕获了EC预报的特征,不但减小了计算量,大幅缩短了计算时间,而且预报结果也有显著提升,预报稳定性较好,具有广泛的业务应用空间。