Modeling deepwater seabed steady-state thermal fields around buried pipeline including trenching and backfill effects

Deepwater pipelines are designed to transport mixtures of oil and gas, and their associated impurities at wellhead temperatures that can be in excess of 149 °C (∼300 °F or 422 K) while the external temperature maybe in the range of 5 °C (∼41 °F or 278 K). Depending on the circumstances these pipelines may be buried for physical protection or for additional thermal insulation using robotic trenching equipment. This results in a complex cut and backfill geometry in the seafloor in addition to altering the thermal properties of the backfill. A two-dimensional boundary element model was developed specifically to address to investigate the local steady-state thermal field in the near field of the pipeline. The model allows one to account for the complex geometries in the near field associated with this burial technique, site-specific multi-layered soil conditions and the seawater adjacent to the seafloor. A parametric study was preformed to evaluate effects of the thermal power loss, burial depth, pipe diameter and soil thermal conductivity on the thermal field in the near field of a buried pipeline. The numerical examples illustrate the influence of the backfill thermal property on the temperature at the pipe wall, that the pipe diameter controls the required output thermal power needed to maintain the desired pipe wall temperature, and the importance of pipeline burial depth on seabed temperature distribution above the pipeline.     

济南东部大辛河渗漏段地下水示踪试验与分析

2013年以来,济南市为正确处理好保泉和市民饮用优质地下水的关系,组织实施了地表水转换地下水补源系列工程,旨在补源保泉的前提下开采地下水。大辛河地表水转地下水工程是其中重要的组成部分,为了查明大辛河渗漏补源后地下水的补给方向、径流速度等,在大辛河主要渗漏段开展了地下水示踪试验。结果显示:地下水渗漏补源后沿渗漏段—龙奥大厦—济南东区供水奥体加压站—贤文小区一线大体自南向北径流,视径流速度约45m/d,越往两侧流速越缓慢,表明大辛河地表水转地下水工程主要对东郊水源地进行补给,对市区四大泉群补给较弱。示踪试验得出的结论,对大辛河地表水转地下水工程运行具有重要指导作用,对后期管理部门合理规划补源、开采布局具有重要的借鉴意义,促进济南保泉和供水的有机统一。     

Impacts of confining pressure and safety thickness on water and mud inrush in weathered granite

Abstract

Due to the strong disintegration and water erosion of completely weathered granite, water and mud inrush disasters are apt to take place in this zone during underwater tunnel construction. The pore, compactness, seepage path length, fracture geometries and their interconnections for water and mud transfer are strongly influenced by confining pressure and waterproof-resistant slab safety thickness. In order to inspect the influence, a series of experiments based on a self-designed testing system and non-Darcy testing method were performed. The results indicated that the water and mud inrush evolution increased with the increase of confining pressure and decreased with the increase of safety thickness. In particular, the confining pressure mainly influences the initial evolution stage, and a critical safety thickness to prevent water and mud inrush is obtained. Besides, the non-Darcy testing method results shows that the water and mud inrush evolution affects the influence of non-Darcy flow. For example, while the safety thickness was smaller than the critical value, the evolution was large and unstable and its behavior transferred into nonlinear. In this case, the flow changed to non-Darcy flow.     

基于深度残差网络的机载LiDAR点云分类

机载LiDAR点云的分类是利用其进行城市场景三维重建的关键步骤之一。为充分利用现有的图像领域性能较好的深度学习网络模型,提高点云分类精度,并降低训练时间和对训练样本数量的要求,本文提出一种基于深度残差网络的机载LiDAR点云分类方法。首先提取归一化高程、表面变化率、强度和归一化植被指数4种具有较高区分度的点云低层次特征;然后通过设置不同的邻域大小和视角,利用所提出的点云特征图生成策略,得到多尺度和多视角点云特征图;再将点云特征图输入到预训练的深度残差网络,提取多尺度和多视角深层次特征;最后构建并训练神经网络分类器,利用训练的模型对待分类点云进行预测,经后处理得到分类结果。利用ISPRS三维语义标记竞赛的公开标准数据集进行试验,结果表明,本文方法可有效区分建筑物、地面、车辆等8类地物,分类结果的总体精度为87.1%,可为城市场景三维重建提供可靠的信息。     

River evaporation,condensation and heat fluxes within a first‐order tributary of Catamaran Brook (New Brunswick,Canada)

Stream temperature plays an important role in many biotic and abiotic processes, as it influences many physical, chemical and biological properties in rivers. As such, a good understanding of the thermal regime of rivers is essential for effective fisheries management and the protection aquatic habitats. Moreover, a thorough understanding of underlying physical processes and river heat fluxes is essential in the development of better and more adaptive water temperature models. Very few studies have measured river evaporation and condensation and subsequently calculated corresponding heat fluxes in small tributary streams, mainly because microclimate data (data collected within the stream environment) are essential and rarely available. As such, the present study will address these issues by measuring river evaporation and condensation in tributary 1 (Trib 1, a small tributary within Catamaran Brook) using floating minipans. The latent heat flux and other important fluxes were calculated. Results showed that evaporation was low within the small Trib 1 of Catamaran Brook, less than 0.07 mm day^?1. Results showed that condensation played an important role in the latent heat flux. In fact, condensation was present during 34 of 92 days (37%) during the summer, which occurred when air temperature was greater than water temperature by 4–6 °C. Heat fluxes within this small stream showed that solar radiation dominated the heat gains and long‐wave radiation dominated the heat losses. © 2015 Her Majesty the Queen in Right of Canada. Hydrological Processes. © 2015 John Wiley & Sons, Ltd.     

基于颜色迁移的单极化SAR图像伪彩色增强

本文从颜色信息角度出发,提出了一种基于颜色迁移的单极化SAR图像彩色增强方法。该方法通过伪彩色编码将SAR图像变为过渡彩色图像,运用保持细节的颜色迁移方法在颜色迁移的过程中保留SAR图像的细节信息,用改变各通道系数的方式进行色调调整使得SAR图像与光学图像有着相同的颜色信息,并通过实验证明该方法的有效性。     

迁移学习支持下的高分影像山地滑坡灾害解译模型

无人机低空遥感是近年来新兴的一种快速获取灾情信息的手段,如何利用无人机高分影像构建滑坡灾害解译模型是实现快速自动解译滑坡的关键。针对该问题,对比了多种影像特征提取方法,将迁移学习(TL)特征和支持向量机(SVM)引入到构建滑坡灾害自动解译模型中,提出了一种TL支持下的高分影像滑坡灾害解译模型。选取5·12汶川地震及4·20芦山地震系列无人机影像构建了滑坡灾害样本库并进行了实验,TL特征方法整体分类准确度ACC为95%,ROC达到0.98,识别准确率达到97%。结果表明,所提方法可用于高分影像滑坡自动解译,同时可用于大面积高分影像中快速山地滑坡灾害定位及检测。     

自动气象观测数据的质量控制

精细化气候变化分析及气候预测服务亟待发展,对高分辨率优质量的气候资料需求不断增长。本文利用缺测率、对比差值、空间一致性、粗差率、一致率5个指标对2009—2014年浙江省2 209个自动站温度数据进行评估分析,运用开放式可调整的评分标准,选取数据质量稳定可靠的站点,满足气候研究与业务的发展需求。共取得91个一级可用站,499个二级可用站,363个三级可用站,一级站主要分布于宁波和嘉兴地区,二级和三级站在各地都有较均匀的分布。在全省气候统计分析中,可以根据需求利用可用站。此外,有可用自动站参与的温度分布图完美呈现了地形对温度的影响,也使城市化发展突显出来,精细化的气候分析能更有效的为高山地区耕种制度及城市建设与规划提供科学依据。     

冰雹云降水过程中微波亮温的变化特征

通过冰雹云模式模拟的一次冰雹云降水过程中降水粒子廓线和微波辐射传输模式结合,分析了冰雹云发展的不同阶段的微物理含量垂直结构变化及其对微波亮温的影响,得到以下几点结论:1)如果微波通道受到降水粒子散射和辐射的共同作用,如降水云早期的85 GHz亮温,成熟期的19 GHz亮温及消散期的37 GHz亮温,由于辐射和散射信息互相抵消,致使亮温随雨强的变化较复杂,这些通道亮温和雨强的相关性明显降低,不宜被用来反演地面雨强。2)根据19 GHz亮温随地面雨强或冰相粒子柱含量的改变,可以大致确定降雨云的不同阶段:在发展阶段,主要是降雨层以上的冰相粒子,尤其霰粒影响19 GHz亮温,致使其亮温与冰相粒子柱含量具有较好的负相关,而与地面雨强相关性较差;在成熟阶段,主要受雨水上层逐渐增加的辐射和冰相粒子散射共同作用,使得19GHz亮温与地面雨强和冰相粒子柱含量的相关性都不太好;在消散阶段,19 GHz亮温主要受较强的雨水辐射影响,与地面雨强和冰相粒子柱含量均有着较高的正相关。3)37 GHz是相对比较稳定的通道,其亮温与地面雨强有较好的线性关系,尤其与冰相粒子柱含量相关性更好,因此是反演地面雨强和冰相粒子柱含量的最佳通道。85 GHz亮温对降雨云体的中高层结构较为敏感,使得其亮温随地面雨强增加而降低的变化比较离散,不如37 GHz的集中。     

耦合长期预报的跨流域引水受水水库调度模型

为提高跨流域引水工程受水水库引水有效性,研究了耦合长期径流预报信息的跨流域引水受水水库调度模型。首先选取汛期径流预报信息,采用径流预报概率修正先验概率来描述径流的不确定性,建立了贝叶斯随机动态规划模型(BSDP-LTF)。然后将模型应用于碧流河水库,并与仅考虑径流相关的随机动态规划模型(SDP-I)、仅考虑长期预报信息的随机动态规划模型(SDP-LTF)进行比较。比较结果得出在供水保证率基本一致且不增加调度风险的情况下,BSDP-LTF模型相比SDP-I、SDP-LTF模型,可分别减少引水8.2%、4.1%。表明贝叶斯随机动态规划模型BSDP-LTF有效改进了径流描述,提高了跨流域引水的有效性。