哈尔滨市地下水中29种抗生素分布特征研究

当前对抗生素滥用监管及其研究正在加强,近年来中国主要水域中抗生素均有不同程度的检出,地表水及地下水中抗生素的污染状况持续受到关注。因进入环境中的抗生素种类繁多、结构复杂,一般实验室难以实现同时分析多种类抗生素。本文在哈尔滨市共采集地下水样品26组,采样范围包括人口密集、工业生产、农畜业等生活生产地区。利用超高效液相色谱-三重四极杆串联质谱联用技术分析了样品中的磺胺类、喹诺酮类、大环内酯类、β-内酰胺类、四环素类、林可酰胺类等6大类共29种典型抗生素含量,研究了哈尔滨市地下水中典型抗生素的检出及分布状况。结果表明：①哈尔滨市地下水中6大类典型抗生素均有不同程度检出,其中以磺胺类、喹诺酮类、大环内酯类、四环素类为主,检出率分别为61.5%、46.2%、42.3%、38.5%;②哈尔滨市地下水检出的抗生素含量范围在0.02~612ng/L之间,其中磺胺噻唑、磺胺嘧啶、林可霉素检出的最高浓度超过100ng/L,相比于国内外部分地区（如中国北京、天津,西班牙巴塞罗那）喹诺酮类整体含量偏低;③检出抗生素含量较高的采样点位主要分布在城市的中部、南部和东部地区,这些区域也是该市人口相对密集区,且附近普遍分布有制药厂、家禽牲畜养殖厂、城市排污口等。由此揭示了哈尔滨市城市地下水中抗生素分布特征受人类生产生活活动影响且具有明显的相关性。     

分布埋入式光纤与隧道衬砌耦合性能试验及应用

为探究埋入式光纤与隧道衬砌的耦合性能,分别从理论与试验两个方面进行研究,并在实际工程中进行了验证。构建了光纤、中间体和基体结构力学分析模型,进行光纤应变传递机制理论分析,计算了光纤应变传递效率;使用钢筋混凝土梁模拟隧道衬砌,进行了2组不同加载速率的试验。其中,在同一根梁内(同一工况)设计6种光纤的布设方式,以位移控制的方式在梁跨中部位进行单点多级加载,使用BOFDA(布里渊散射光频域分析)技术分别对6条光纤进行监测。试验结果表明:6条光纤均可以有效监测梁从开始加载至钢筋开始屈服阶段,光纤与梁耦合性最好;钢筋开始屈服直至梁破坏阶段,光纤应变不再增加甚至减小或呈现出光纤断裂的状态,此过程光纤与梁耦合性较差;除开槽埋入式光纤的有效监测应变差为3 000×10^-6外,其余布设方式光纤有效监测应变差为2 000×10^-6;光纤在长距离(>>146 mm)埋入式布设情况下可认为其应变传递效率接近100%,2组不同试验结果呈现相似规律。在北京市新机场线地铁暗挖隧道CRD工法区间进行了工程应用研究,监测结果表明分布埋入式光纤布设工艺是可行的,可为...     

任意各向异性介质三维非结构谱元法直流电阻率正演模拟研究

各向异性是地电异常解释中不可忽视的因素,广泛存在于裂隙或层理发育的地质环境中.本文针对任意各向异性条件下直流电阻率法三维正演问题进行研究,结合非结构谱元法建立模拟算法,充分利用谱方法的指数收敛性以及非结构有限元对地形和复杂异常体刻画能力,提高计算精度和效率.通过灵活的四面体网格剖分和高阶谱插值,实现了复杂介质任意各向异性模型电阻率响应的高精度数值模拟.我们首先通过层状各向异性模型验证本文非结构谱元法的计算精度,进而我们以半空间中立方体模型为例分析各向异性对电阻率响应的影响特征,并通过计算针对不同各向异性参数的视电阻率极性图,探究地下介质各向异性特征识别方法.最后,我们针对典型的山脊模型计算和分析存在地形效应条件下各向异性电流场分布及视电阻率特征.模型计算结果表明基于四面体网格的谱元法模拟带有复杂地形和异常体的任意各向异性模型具有很高的计算精度.本文的研究成果将在推进电阻率方法用于解决裂隙及层理等环境和工程地质问题中发挥积极作用.

     

基于IDA的套箍加固拱上立柱抗震性能评估

以德阳金花大桥为工程实例,结合拱上立柱的实际震害,利用地震作用下的非线性计算模型,建立基于IDA的钢筋混凝土套箍加固拱上立柱抗震性能评估分析方法.通过分析表明,剪跨比对拱上立柱的抗震性能影响显著,高剪跨比立柱抗震性能相对较差,在地震作用下拱上立柱为易损构件;套箍加固拱上立柱的抗震性能提高明显,易损性显著降低,延性亦有一...     

基于耐震时程法的进水塔结构抗震性能分析

进水塔结构作为水电站的进水建筑物,其抗震性能对水电站的安全运行有重要意义.以沙牌水电站的高耸独立进水塔结构为研究对象,应用3条耐震时程曲线对其进行抗震性能分析与评估,并将计算结果与天然地震动下的增量动力分析结果进行比较,对比分析进水塔塔顶位移、基底剪力及地震损伤历程.实例研究表明:耐震时程法可以较好地分析结构的抗震响应...     

双相各向异性介质中弹性波方程的有限元解法及波场模拟

基于双相各向异性介质模型,首先推导了双相各向异性介质中弹性波传播的动力学方程及其Galerkin变分方程和有限元运动方程,然后给出了孔隙弹性波方程的有限元数值解法以及二维双相PTL介质中波场模拟的人为吸收边界条件. 最后,利用本文给出的有限元方法对双相PTL介质和双相各向同性介质中的弹性波传播进行了数值模拟. 结果表明:有限元方法和吸收边界条件有效、可行,在理想相界条件下,不论是从固体位移,还是从流体位移的波场快照都能看到明显的慢速拟P波;在黏滞相界情况下,能否观察到慢速拟P波,与含流体地层介质的耗散性质有关.对实际含流体介质,从流体位移分量的波场快照比从固体位移波场快照更容易观察到慢速拟P波.     

CFRP加固一字形竖缝耗能预制剪力墙抗震性能研究

以一字形竖缝耗能预制剪力墙作为研究对象,设计了3个装配式剪力墙试件及1个现浇剪力墙对比试件,进行低周往复荷载试验,并对破坏墙体进行CFRP加固,再次进行拟静力试验。试件变化参数包括轴压比、混凝土强度等级及配筋率,对比分析加固前后试件滞回性能、刚度退化、承载力和耗能能力等性能。试验结果表明,与现浇剪力墙相比,一字形竖缝耗能预制剪力墙工作性能良好,阻尼器屈服耗能提高了试件整体工作性能;CFRP加固可有效抑制墙体斜裂缝的发展,对墙体承载力及耗能能力均有显著改善作用;各试件均满足剪力墙弹塑性层间位移角限值要求,延性较好;试件整体表现出良好的抗震性能。     

Where is my neighborhood? A dynamic individual-based definition of home ranges and implementation of multiple evaluation criteria

With the growing interest in studying characteristics of geographical context and its influence upon people, the concept of home range has been a focus of scholarly research. Home ranges are studied extensively across multiple disciplines, with literature supporting different operationalization techniques. This article argues that many of the existing approaches are not dynamic and versatile enough and do not provide reliable solutions for estimating individual home ranges. We additionally argue that many of current studies lack robust evaluation approaches. Recent evidences suggest that the usual approaches, which often exclusively rely on a single validation criterion, are not reliable and may be influenced by inferential errors. This study aims to tackle the exiting limitations in definition and operationalization of individual-based home range models and provide a more robust solution for their evaluation and comparison. Using data collected through public participation GIS we develop an applied, dynamic, and parametric model of individual home ranges. Subsequently, we propose multiple criteria comprising five validation hypotheses to evaluate model's effectiveness. We argue that application of this approach in evaluating spatial delimitation models can ameliorate the risk of biased validation resulting from inferential errors. The evaluation results indicate a substantial improvement in coverage of visited points compared to previously used static methods. Consequently, this paper draws a number of conclusions that can serve as guidelines for future research. This paper highlights the strengths and weaknesses of the proposed method and explains how it can be improved and employed in future studies investigating contextual effects on residents.     

Ocean current estimation using a Multi-Model Ensemble Kalman Filter during the Grand Lagrangian Deployment experiment (GLAD)

In the summer and fall of 2012, during the GLAD experiment in the Gulf of Mexico, the Consortium for Advanced Research on Transport of Hydrocarbon in the Environment (CARTHE) used several ocean models to assist the deployment of more than 300 surface drifters. The Navy Coastal Ocean Model (NCOM) at 1 km and 3 km resolutions, the US Navy operational NCOM at 3 km resolution (AMSEAS), and two versions of the Hybrid Coordinates Ocean Model (HYCOM) set at 4 km were running daily and delivering 72-h range forecasts. They all assimilated remote sensing and local profile data but they were not assimilating the drifter’s observations. This work presents a non-intrusive methodology named Multi-Model Ensemble Kalman Filter that allows assimilating the local drifter data into such a set of models, to produce improved ocean currents forecasts. The filter is to be used when several modeling systems or ensembles are available and/or observations are not entirely handled by the operational data assimilation process. It allows using generic in situ measurements over short time windows to improve the predictability of local ocean dynamics and associated high-resolution parameters of interest for which a forward model exists (e.g. oil spill plumes). Results can be used for operational applications or to derive enhanced background fields for other data assimilation systems, thus providing an expedite method to non-intrusively assimilate local observations of variables with complex operators. Results for the GLAD experiment show the method can improve water velocity predictions along the observed drifter trajectories, hence enhancing the skills of the models to predict individual trajectories.     

Efficient estimation of flood forecast prediction intervals via single‐ and multi‐objective versions of the LUBE method

Prediction intervals (PIs) are commonly used to quantify the accuracy and precision of a forecast. However, traditional ways to construct PIs typically require strong assumptions about data distribution and involve a large computational burden. Here, we improve upon the recent proposed Lower Upper Bound Estimation method and extend it to a multi‐objective framework. The proposed methods are demonstrated using a real‐world flood forecasting case study for the upper Yangtze River Watershed. Results indicate that the proposed methods are able to efficiently construct appropriate PIs, while outperforming other methods including the widely used Generalized Likelihood Uncertainty Estimation approach. Copyright © 2016 John Wiley & Sons, Ltd.