Lesson Plans in Geography

Abstract

This article advocates that geography teachers undertake field studies of human systems with their students. A field trip process is described that helps teachers to guide students to explore and analyze a real human system with the expressed goal of building skills that can transfer to and complement a wide range of geographic learning tasks identified in Geography for Life: National Geography Standards 1994. Students are taken to a human system, such as a supermarket or a hotel. In groups, students interview as well as tour with a representative of a key department of the human system. Using teacher-supplied materials, groups create models or visual schematics of the whole human system they studied. The model must show the complex as a collection of interdependent elements with distinct functions. The learning outcomes achieved by students are a collection of geographic skills ideal for transfer to subsequent geographic investigations of urban places and or regions.     

基于最优极化相干系数的倾斜建筑物解译研究

基于Freeman_Durden分解的全极化SAR影像分类方法能够较好地保持地物极化散射特性,但在分类的过程中,不能改变初始散射机制,导致分解结果对分类精度影响很大。在Freeman_Durden分解中,排列方向相对雷达飞行方向不平行的建筑物(简称为倾斜建筑物)常被分为体散射类型,使得该类建筑物往往被误分为植被。通过分析建筑物在SAR影像中的后向散射特性,利用建筑物具有较高相干性的特点,引入最优极化相干系数,在目标分解的基础上通过阈值分割将两者区分开来,进而提高反射非对称性人工目标的分类效果。通过使用E-SAR系统在德国DLR附近Oberp-faffenhofen地区获取的L波段PolInSAR影像和国内X-SAR系统在海南陵水地区获取的X波段PolInSAR影像进行试验,证明该方法能够有效地将与雷达飞行方向不平行的建筑物与森林区分开。     

一种有效的基坑水平位移监测方法

在论述基坑水平位移常规监测方法基础上,针对目前基坑水平位移监测作业面较小的情况,提出了一种有效的监测方法,并对其监测精度进行了分析,结合具体工程实例说明了此方法的实用性。     

平稳自回归模型在高层建筑沉降预测中的应用

首先介绍了平稳自回归模型-AR(p)模型,然后将该模型应用到高层建筑沉降预测实例中,通过沉降实测数据与预测数据进行对比分析,其结果均满足精度要求,表明:AR(p)模型在高层建筑的沉降预测中具有很好的适用性。     

Numerical study of flow and gas diffusion in the near-wake behind an isolated building

To assist validation of the experimental data of urban pollution dispersion, the effect of an isolated building on the flow and gaseous diffusion in the wake region have been investigated numerically in the neutrally stratified rough-walled turbulent boundary layer. Numerical studies were carried out using Computational Fluid Dynamics (CFD) models. The CFD models used for the simulation were based on the steady-state Reynolds-Average Navier-Stoke equations (RANS) with κ-ε turbulence models; standard κ-ε and RNG κ-ε models. Inlet conditions and boundary conditions were specified numerically to the best information available for each fluid modeling simulation. A gas pollutant was emitted from a point source within the recirculation cavity behind the building model. The accuracy of these simulations was examined by comparing the predicted results with wind tunnel experimental data. It was confirmed that simulation using the model accurately reproduces the velocity and concentration diffusion fields with a fine-mish resolution in the near wake region. Results indicated that there is a good agreement between the numerical simulation and the wind tunnel experiment for both wind flow and concentration diffusion. The results of this work can help to improve the understanding of mechanisms of and simulation of pollutant transport in an urban environment.     

北京市1996-2007年住宅空调致冷耗能影响因素分析

 采用气象资料和经济统计资料,以北京市为例,分析了城镇住宅空调致冷耗能的影响因素。结果显示：在一定建筑设计标准下,直接影响城镇住宅空调致冷耗能的因子主要有降温强度、城镇人口数、人均住宅建筑面积和城镇家庭空调器拥有比例。总的来说,由于目前中国城市化进程的加速,城镇人口、人均住宅建筑面积、城镇空调器拥有比例在不断增加,因此,无论气候变暖或变冷,各地空调致冷耗能不可避免地在增加。在上述因子中,气候是目前为止唯一可能起到降低能耗作用的因子。对于城市化较快的北京市,由于城镇家庭空调器拥有比例的快速增长,城镇家庭空调器拥有比例这一因子对空调致冷耗能增量的贡献率普遍最大。     

Moisture sorption behaviour of salt mixtures in porous stone

Moisture in stone material is the key factor for all stone deterioration processes and also in weathering of cultural heritage. With additional presence of salts in the material the situation gets even more critical. While the properties of pure salts with moisture are well known, knowledge about the interaction of salt mixtures with moisture is still poor. In different approaches the reactions of salt-contaminated stone material on changing moisture were tested in the laboratory. Experiments with different solutions in the Na-Mg-SO₄-NO₃-H₂O system revealed interesting new results on the moisture behaviour of salt-contaminated samples. Theoretical considerations and computer simulations are helpful to interpret the data obtained, but are not yet sufficient to explain the real processes acting on site at the monuments. More encouraging to this fact are complementary studies on visible efflorescences in the same salt system. It is shown how by experimental approaches the understanding on salt-induced stone deterioration is strongly complemented.     

The use of X-ray tomography in the study of water repellents and consolidants

To reduce the weathering rate of natural building stones, a wide variety of water repellents and consolidants are commercially available. Although a lot of research is performed on these products, it remains difficult to determine which product is appropriate to use for a certain type of building stone. Each type of building stone has its own petrographic characteristics (mineralogy, texture, …), leading to typical physical and technical properties which influence its rate of decay. The localisation of the products inside a stone type is not only depending on the properties of the products themselves, but also linked to the texture and structure of the stone. The impregnation depth of the products strongly influences their efficiency and is therefore a key issue in the determination if a product is functional for a certain type of stone. X-ray micro-CT has recently been introduced as a non-destructive material evaluation technique for engineering and geology purposes. The fact that micro-CT can provide information about the internal structure and properties of natural building stones, is a major advantage in the study of their conservation. Firmly linked with more classical research techniques, this non-destructive technique offers an extra dimension to the cultural heritage research.In this paper, non-destructive X-ray computed micro-tomography (micro-CT) turns out to be a powerful tool as it can visualise the presence of water repellents and consolidants inside the stone and can help to detect the influence that these treatments exert on porosity and pore-size distribution. For the visualization of the product its atomic number and density and the amount of product inside the natural building stone is crucial. Besides the contrast in attenuation, the resolution of the micro-CT also needs to be taken into account to obtain a good contrast between stone and product. By doping with 3-bromopropyltrimethoxysilane, more contrast occurs between the stone material and the conservation product. When the amount of product inside the samples is very low and the product is homogeneously spread inside the sample, the doped product is difficult to distinguish from the stone material due to the resolution of the micro-CT. When the amount of doped product inside the stone material reaches a certain threshold value, the dope will appear in the 2D cross-sections derived from micro-CT, creating a good visualization of the products inside the stone samples.     

全局局部细节感知条件随机场的高分辨率遥感影像建筑物提取

条件随机场模型由于其较强的上下文信息建模能力,被广泛应用于建筑物提取任务中。然而,面对高分辨率遥感影像丰富的地物信息,基于条件随机场的提取方法存在建筑物边界模糊的问题。本文提出了一种全局局部细节感知条件随机场框架,该框架提出全局局部一体化D-LinkNet,在有效利用多尺度建筑物信息的同时保留局部结构信息,解决了传统条件随机场一元势能丢失边界信息的问题。同时,该框架融合分割先验以缓解建筑物类内光谱差异较大的影响,利用更大尺度的上下文信息来精确提取建筑物,并引入局部类别标记代价从而保持细节信息以获取清晰的建筑物边界。实验结果表明,该框架在WHU卫星和航空数据集上的精度评价指标均优于其他对比方法,其IoU分别达89.82%和91.72%,对于复杂场景下的建筑物信息能够获得较好的提取效果。     

IEU-Net高分辨率遥感影像房屋建筑物提取

房屋建筑物作为人类活动的主要场所,快速准确地将其从高分辨率遥感影像中提取出来,对促进遥感信息在防灾减灾、城镇管理等方面的应用具有重要意义。本文基于深度学习,提出了高分辨率遥感影像房屋建筑物像素级精确提取方法。首先,针对样本图像边缘像素特征不足现象,以U-Net模型为基础提出IEU-Net模型,设计了全新的忽略边缘交叉熵函数IELoss并将其作为损失函数,另外添加Dropout和BN层在避免过拟合的同时提高模型训练速度和鲁棒性。其次,为解决模型特征丰富度有限的问题,引入形态学建筑物指数MBI,与遥感影像RGB波段一同参与到模型的分类过程。最后,在模型预测时与IELoss相对应采用忽略边缘预测策略从而获得最佳建筑物提取结果。实验对比分析表明：本文方法能有效克服样本边缘像素特征不足问题并抑制道路、建筑物阴影对结果的影响,提升高分辨率遥感影像中房屋建筑物的提取精度。