鲁北平原地下咸水浅层地热能开发利用条件研究

为了解决鲁北平原区农村冬季清洁供暖问题,扩大地下水地源热泵系统的应用规模,以区内广泛发育的咸水体为研究目标,在简述第四纪地层特征的基础上,阐明了第四纪含水砂层与咸水体的分布特征,总结了区内以往开展的4个浅层地热能勘查项目所施工的水文地质勘探孔抽水试验与回灌试验成果。结果表明: 研究区咸水含水层单井涌水量320~475 m³/d,单位涌水量12.76~28.3 m³/(d·m),自然回灌条件下单井回灌量30~56 m³/d,单位回灌量5.85~17.5 m³/(d·m); 单眼开采井可供暖面积为3 481.02 m²,可满足约35户农村住宅的冬季供暖需求; 研究区在进行浅层地热能开发时建议优先选择地下水地源热泵系统,对于供暖/制冷能耗需求较小的农村单户建筑,可选择地埋管地源热泵系统进行分散式供暖/制冷。     

高层建筑竖直度控制

介绍高层建筑施工中竖直度控制的方法;精度估算;分段投测,分段锁定,分段控制,竖直度计算等具体问题,经高层建筑工程验证及部、省级技术鉴定,工程成果达到国内领先水平。     

某高层建筑模型振动台试验结果分析

本文分析了广州市某２８层高层建筑模型模拟地震振动台试验结果,对此建筑的抗震性能进行了评价,考究了设置摩擦耗能支对其动力反应的减震作用。     

环境水土对重要建筑材料的腐蚀作用

从建筑材料和水土中活跃成分的化学性质出发,讨论环境水土成分对重要建筑材料的腐蚀的机理及其评价的有关问题。     

Study on Effects of Building Morphology on Urban Boundary Layer Using an Urban Canopy Model

An urban canopy model is incorporated into the Nanjing University Regional Boundary Layer Model. Temperature simulated by the urban canopy model is in better agreement with the observation, especially in the night time, than that simulated by the traditional slab model. The coupled model is used to study the effects of building morphology on urban boundary layer and meteorological environment by changing urban area, building height, and building density. It is found that when the urban area is expanded, the urban boundary layer heat flux, thermal turbu- lence, and the turbulent momentum flux and kinetic energy all increase or enhance, causing the surface air temperature to rise up. The stability of urban atmospheric stratiˉcation is a?ected to diffierent extent at diffierent times of the day. When the building height goes up, the aerodynamic roughness height, zero plane displacement height of urban area, and ratio of building height to street width all increase. Therefore, the increase in building height results in the decrease of the surface heat flux, urban surface temperature, mean wind speed, and turbulent kinetic energy in daytime. While at night, as more heat storage is released by higher buildings,thermal turbulence is more active and surface heat flux increases, leading to a higher urban temperature. As the building density increases, the aerodynamic roughness height of urban area decreases, and the effect of urban canopy on radiation strengthens. The increase of building density results in the decrease in urban surface heat flux, momentum flux, and air temperature, the increase in mean wind speed, and the weakening of turbulence in the daytime. While at night, the urban temperature increases due to the release of more heat storage.     

From adoption to implementation? An academic perspective on Sustainable Fisheries Management in a developing country

Despite the fact that Sustainable Fisheries Management (SFM) has long been proposed internationally, it remains controversial. Practical and successful applications are scarce, especially in developing countries with a recent history of massive overfishing, such as Mexico. Although SFM has been adopted at the highest level of the Mexican legal framework during the last two decades, its successful implementation still faces a series of complex challenges. At present, important changes in the Mexican political regime are at a breaking point, motivating the academic discussion about the national implications of adopting SFM approaches. Through the analysis of a series of deep interviews of key actors, combined with published material, the article illustrates how the fast-track adoption of SFM approaches has fared in a national fisheries context, the current situation being largely dysfunctional with regard to the challenges of SFM. A complicated mixture between unbeaten management and academic vestiges caused the present circumstances of an enhanced but limited fisheries system. The article proposes academic initiatives required to improve the implementation of SFM in Mexico based on an enhanced understanding of domestic historic conditions and challenges.     

建筑物立面分类与DIM点云滤波

针对目前基于近景摄影测量方法构建建筑物立面模型过程中因密集影像匹配（DIM）点云噪声所引起的建筑物立面TIN网格模型畸变问题,本文借鉴机器学习中样本学习的思想,对建筑物立面进行了分类并对DIM点云提出了相应的滤波方法,以达到去除DIM点云噪声和改善其TIN网格模型畸变的目的。其中,针对平面结构立面,采取先对点云样本进行学习计算构建数学立面模型所需参数,再对该立面模型设定阈值并对其点云进行滤波处理的方法;针对曲面结构立面,则结合DIM点云特性先将点云样本分类标记归为立面点与非立面点,再进行样本特征值学习,使用Logistic回归算法迭代计算求解最佳回归系数,从而构建滤波分类器的方法对立面点云进行滤波处理。试验结果表明,本文滤波处理方法能将立面DIM点云噪声有效识别并去除,而且使用该方法处理后所得点云构建的建筑物立面TIN网格模型精细化程度得到有效提高,模型质量得到明显改善。     

基于卷积神经网络的无人机影像违章建筑检测应用

无人机航拍影像具有分辨率高、回访周期短等特点,利用无人机遥感技术手段对城市范围的建设进行动态监测,可及时、有效地发现涉嫌违法的建设活动。本文结合实际项目需求,研究通过卷积神经网络方法进行违章建筑的自动检测,替代过去靠大量人力检查的模式,目前测试区域无人机影像试验取得了较好的效果,在样本数据不足5000份的情况下,准确率和召回率分别达到了71%和88%。随着样本数据的不断增多,基于该深度学习方法将较大程度上持续提升检测准确率和召回率,能够更精准地发现违法活动,具有较大的实际应用价值及潜力。     

利用结构面对象的高分遥感影像建筑物变化检测

根据建筑物具有丰富的角点和规则的外观形状的特点,本文提出了依据线段信息生成建筑物变化检测基本单元——结构面对象的建筑物变化检测方法。从高分遥感影像中提取出建筑物的边缘线及屋顶外形线条,生成结构面对象并提取其在两时相影像中相应的特征信息,通过监督分类获取变化建筑区域。试验结果表明,利用结构面对象进行建筑物变化检测能较完整地覆盖变化建筑物表面且对象边缘检测效果较好。     

基于点云投影线探测的高墩位姿自动检测方法

针对目前超高桥墩垂直度检测方法存在危险系数较高、精度难以保证或自动化程度与工作效率较低的情况,本文提出一种基于三维激光扫描技术的点云数据超高桥墩位姿自动检测方法。该方法首先将海量墩面点云双向分层;然后依条件选择分层文件探测点云投影线并划分桥墩面缓冲区;最后根据缓冲区自动提取墩面点云并进行位姿检测。本文以某山区高速桥梁高墩位姿检测为例进行试验,试验结果,表明该方法具有无接触测量、高自动化、高工作效率及检测范围全面的优势。