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.     

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.     

浅析运营期间电力隧道自动化监测技术

针对城市电力隧道结构、走向多变、电缆设施多、电磁干扰大等因素,常规的监测方法难以顺利完成的现状,对目前先进的3种隧道结构自动化监测系统进行深入的研究比较,光纤传感自动技术解决了电力隧道结构监测点布设困难,数据受电磁干扰大的问题,能实时有效、可靠、高精度地监控电力隧道,及时掌握隧道的应力、应变及振动等主要结构参数,确保隧道结构安全。研究对类似的城市电力隧道自动化监测具有一定的参考意义。     

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。     

地壳运动驱动力的探讨——核能与地球演化

本文综合核物理、天文和地质学的最新研究成果,推导出在45亿年前太阳系的全部原始类地行星及其某些卫星(包括地球及月球)上,发生过大规模的、持续的铀、钚链式核裂变,释出了巨大的热能,熔化了整个原始星球。新星球的物质发生了重力分异作用、形成了按密度划分的圈层结构。地球中心是内地核,在高压下压成了固态。铀、钚下沉到内地核顶部停留,继续发生链式核裂变,但改变不了内地核的固态性质。从此处产生的核裂变能,主要以热对流的形式外导。直到前45亿年以后,铀的链式核裂变停止了,只剩下钚的链式核裂变,生成的热能减少了,地球开始冷凝。当熔浆表面温度下降到700~800℃时,较轻的花岗岩质岩浆首先凝固成薄层。它很脆弱、经不起大风浪和潮汐力的冲击,破碎成小块,随着下面对流的玄武岩质熔浆汇集起来,形成大片飘浮物,后来就成为大陸;小片的便成为岛屿。温度逐渐下降,地幔冷凝成固体。温度下降至100℃以下,大气中的水蒸气冷凝成水,下落汇集在地表低凹处,便有了海洋和湖泊。所以海洋底主要分布着玄武岩。从内地核顶部不断产生的核能以"地幔柱"的形式穿过固体地幔,上升至地壳。受坚硬地壳的隔挡、便集中在地壳下构成软流层。当地壳岩石受热软化和可以流动之后,便开始向压力小的方向流动。又受日、月引力和地球自身自转力的作用,软流层的动能又有了增强。这种巨大的能量支配了地壳的升降、褶曲、断裂、变质、岩浆、火山和地震等活动。地球是天体之一,无时不受自然界各种作用力的影响,但支配它演化的主要作用力是核能。本文还简述了核能、核素与太阳系星体演化的关系。     

利用GNSS干涉信号振荡幅度反演土壤湿度

根据干涉效应和GNSS接收机信噪比估计方法,推导了利用GNSS干涉信号幅度进行土壤湿度反演的模型,建模过程考虑了天线增益、土壤介电常数和噪声的影响。提出了使用AMPD算法从含有噪声的归一化干涉功率曲线中提取干涉峰值与谷值,进而反演了土壤介电常数与土壤湿度的方法,并对其进行了仿真。结果表明,利用提取出来的干涉谷值进行反演性能比峰值好,相对稳定准确的卫星仰角范围为5°~25°,湿度大于0.06cm~3/cm~3时反演结果更为准确,标准差在0.01cm~3/cm~3左右波动。     

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。     

定向钻进敷设电缆保护管轨迹优化设计研究

在老旧城区内采用定向钻进敷设地下管线,常常需要从已有的各类地下建（构）筑物或管线下方穿过,方案设计时就应考虑新建管道与之安全距离的取值问题。以厦门市某110 kV电力电缆的定向钻进工程的实际需求为出发点,在对国内现有规程规范及工程实例调查的基础上,对电力电缆保护管定向钻进敷设安全距离取值的影响因素进行分析,优化工程定向钻进敷设方案,指导该工程的建设,并为类似工程建设提供参考。