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1.
GIS专业的学生需要一定的软件设计和编程技能,传统单一的课堂教学模式难以适应当前培养GIS人才的要求。文中提出通过引导学生参加软件考试,结合考试类型和考试科目进行考试的技术指导和培训,并将其引入到"空间数据库"的课堂教学,使得课程教学与软件考试紧密结合;通过引入任务驱动、情景教学、分级和分组的教学方法,以及课程考试和软件考试的双重考核方法,促进"空间数据库"课程教学改革。课程改革的实施不仅活跃了课堂教学氛围,改善课堂秩序,而且促进学生课后的学习自主性和社会实践积极性,为培养高质量的GIS人才打下基础。  相似文献   
2.
提出一种能同时重建多个二维良导体目标外形轮廓的新方法——连续编码遗传算法.将目标的横截面轮廓近似表达为三角级数形式,由边界条件得到一积分方程组,在此基础上将成像问题转化为约束优化问题,级数的各项系数为待优化量.积分方程组为约束条件,目标函数定义为实际测量的散射场与反演过程中得到的散射场之间的相对误差函数.采用连续编码遗传算法求解,优化过程通过选择、交叉、变异等遗传操作的选代而实现,待优化目标函数进行线性变换并采用模拟退火原理确定目标后表达为适应度函数,采用联赛选择与比例选择相结合的选择机制和单点交叉方式,变异操作通过对基因施加微小随机扰动实现.上一代中适应度最高的个体直接保留.数值模拟反演实验验证了方法的有效性.与其他反演方法相比,本法具有简单、通用、鲁棒性强等特点.  相似文献   
3.
The vertical structures and their dynamical character of PM2.5 and PM10 over Beijing urban areas are revealed using the 1 min mean continuous mass concentration data of PM2.5 and PM10 at 8, 100, and 320 m heights of the meteorological observation tower of 325 m at Institute of Atmospheric Physics, Chinese Academy of Sciences (IAP CAS tower hereafter) on 10―26 August, 2003, as well as the daily mean mass concentration data of PM2.5 and PM10 and the continuous data of CO and NO2 at 8, 100 (low layer), 200 (middle layer), and 320 m (high layer) heights, in combination with the same period meteorological field observation data of the meteorological tower. The vertical distributions of aerosols observed on IAP CAS tower in Beijing can be roughly divided into two patterns: gradually and rapidly decreasing patterns, I.e. The vertical distribution of aerosols in calm weather or on pollution day belongs to the gradually decreasing pattern, while one on clean day or weak cold air day belongs to the rapidly decreasing pattern. The vertical distributive characters of aerosols were closely related with the dynamical/thermal structure and turbulence character of the atmosphere boundary layer. On the clean day, the low layer PM2.5 and PM10 concentrations were close to those at 8 m height, while the concentrations rapidly decreased at the high layer, and their values were only one half of those at 8 m, especially, the concentration of PM2.5 dropped even more. On the clean day, there existed stronger turbulence below 150 m, aerosols were well mixed, but blocked by the more stronger inversion layer aloft, and meanwhile, at various heights, especially in the high layer, the horizontal wind speed was larger, resulting in the rapid decrease of aerosol concentration, I.e. Resulting in the obvious vertical difference of aerosol concentrations between the low and high layers. On the pollution day, the concentrations of PM2.5 and PM10 at the low, middle, and high layers dropped successively by, on average, about 10% for each layer in comparison with those at 8 m height. On pollution days, in company with the low wind speed, there existed two shallow inversion layers in the boundary layer, but aerosols might be, to some extent, mixed below the inversion layer, therefore, on the pollution day the concentrations of PM2.5 and PM10 dropped with height slowly; and the observational results also show that the concentrations at 320 m height were obviously high under SW and SE winds, but at other heights, the concentrations were not correlated with wind directions. The computational results of footprint analysis suggest that this was due to the fact that the 320 m height was impacted by the pollutants transfer of southerly flow from the southern peripheral heavier polluted areas, such as Baoding, and Shijiazhuang of Hebei Province, Tianjin, and Shandong Province, etc., while the low layer was only affected by Beijing's local pollution source. The computational results of power spectra and periods preliminarily reveal that under the condition of calm weather, the periods of PM10 concentration at various heights of the tower were on the order of minutes, while in cases of larger wind speed, the concentrations of PM2.5 and PM10 at 320 m height not only had the short periods of minute-order, but also the longer periods of hour order. Consistent with the conclusion previously drawn by Ding et al., that air pollutants at different heights and at different sites in Beijing had the character of "in-phase" variation, was also observed for the diurnal variation and mean diurnal variation of PM2.5 and PM10 at various heights of the tower in this experiment, again confirming the "in-phase" temporal/spatial distributive character of air pollutants in the urban canopy of Beijing. The gentle double-peak character of the mean diurnal variation of PM2.5 and PM10 was closely related with the evident/similar diurnal variation of turbulent momentum fluxes, sensible heat fluxes, and turbulent kinetic energy at various heights in the urban canopy. Besides, under the condition of calm weather, the concentration of PM2.5 and PM10 declined with height slowly, it was 90% of 8 m concentration at the low layer, a little lesser than 90% at the middle layer, and 80% at the high layer, respectively. Under the condition of weak cold air weather, the concentration remarkably dropped with height, it was 70% of 8 m concentration at the low layer, and 20%―30% at the middle and high layers, especially the concentration of PM2.5 was even lower.  相似文献   
4.
Three ship-based observational campaigns were conducted to survey sea ice and snow in Prydz Bay and the surrounding waters(64.40°S–69.40°S, 76.11°E–81.29°E) from 28 November 2012 to 3 February 2013. In this paper, we present the sea ice extent and its variation, and the ice and snow thickness distributions and their variations with time in the observed zone. In the pack ice zone, the southern edge of the pack ice changed little, whereas the northern edge retreated significantly during the two earlier observation periods. Compared with the pack ice, the fast ice exhibited a significantly slower variation in extent with its northernmost edge retreating southwards by 6.7 km at a rate of 0.37 km?d-1. Generally, ice showed an increment in thickness with increasing latitude from the end of November to the middle of December. Ice and snow thickness followed an approximate normal distribution during the two earlier observations(79.7±28.9 cm, 79.1±19.1 cm for ice thickness, and 11.6±6.1 cm, 9.6±3.4 cm for snow thickness, respectively), and the distribution tended to be more concentrated in mid-December than in late November. The expected value of ice thickness decreased by 0.6 cm, whereas that of snow thickness decreased by 2 cm from 28 November to 18 December 2012. Ice thickness distribution showed no obvious regularity between 31 January and 3 February, 2013.  相似文献   
5.
珠江三角洲地区的城市地质问题主要有地表塌陷、地裂缝、泥石流、滑坡和崩塌以及软土沉陷等。其成因除最直接的自然因素所致外,还有人为不合理的生产和生活活动诱发而加剧城市地质问题的发生发展。根据珠江三角洲城市地质问题的现状,提出了城市地质问题的防治对策。  相似文献   
6.
城镇化是我国现代化进程中的最伟大工程,2001年诺贝尔经济学奖获得者J.Stiglitse把中国的城镇化与美国的高科技并列为影响21世纪人类发展进程的两大关键因素。协调好城市化进程中强大的人类工程活动同复杂的地质环境变化间的关系是我国工程地质工作者的责任与义务,也是工程地质学发展的机遇。充分学习、借鉴地球科学相关学科领域的新观念、新成果、新资料,开展区域工程地质研究,探寻我国区域工程地质环境的形成演化和工程建设与地质环境间的相互作用规律,实现城镇化与地质环境的和谐。  相似文献   
7.
张青波  李世海  冯春  王杰 《岩土力学》2013,34(8):2385-2392
针对边坡工程中岩土体连续-非连续渐进破坏的特点,提出一种新的变形体离散元方法(DEM)。与传统有限单元法(FEM)不同,弹簧元法(SEM)通过构建一组广义弹簧系统描述单元的力学行为。弹簧元法中的一个广义弹簧可以具有多个方向的刚度系数,确定广义弹簧系统的构造形式及其各刚度系数表达式是弹簧元法的核心。以三角形单元为例,介绍平面弹簧元的基本理论。对任何二维正交广义弹簧系统,通过定义广义弹簧变形与单元应变之间的关系,直接对比单元的应变能与弹簧系统的弹性势能即可得到广义弹簧刚度系数的表达形式。定义泊松刚度系数和纯剪刚度系数两个系统参数,描述正交广义弹簧之间的联系。对任意泊松比的材料,该方法都可准确地描述泊松效应的影响,计算结果与传统有限元法一致。该方法不需要求得有限元单元刚度矩阵的具体形式,具有直接方便、物理意义明确的优点,应用该方法给出任意4节点单元弹簧系统的构造形式及其各刚度系数的表达式。基于SEM的可变形块体离散元法,用弹簧元中的广义弹簧求解块体变形,用离散元中的接触弹簧计算块体间作用力,在单元节点的控制方程中实现弹簧元-离散元耦合计算,通过接触弹簧的状态实现材料由连续到非连续的破坏过程。在基于连续介质离散元法(CDEM)程序的基础上实现弹簧元-离散元耦合程序,应用耦合程序计算均质土坡在重力作用下的弹塑性变形和基覆边坡在重力作用下的破坏,初步证明该方法用于边坡变形渐进破坏分析的可行性。  相似文献   
8.
空间信息技术是防洪减灾现代化的基础   总被引:2,自引:5,他引:2  
我国洪涝灾害频繁,洪灾损失严重,防洪减灾将是一项长期而艰巨的任务。在防洪减灾研究中,必须积极引进当今最新科学技术成果,以高新技术改造水利这一传统产业,以水利信息化推动水利现代化。以遥感、地理信息系统和全球导航定位系统为支撑的空间信息技术可以广泛地应用于防洪减灾中,是防洪减灾现代化的基础。本文分析了空间信息技术在防洪减灾中的作用,并对空间信息技术在防洪减灾中的应用趋势作出展望。  相似文献   
9.
针对城市建成区在高分辨率全色影像中的特点,提出了一种城市建成区边界提取的新算法。该算法首先基于边缘检测算子提取城市建成区的边缘密度特征,然后基于灰度共生矩阵和神经网络算法提取其纹理特征,最后结合多种数学形态学的方法提取出城市建成区边界。最后以武汉市为例,采用资源三号全色影像对比传统提取算法与本文提出的新算法,结果表明本文算法精度有明显提高,提取正确率能达到90%以上,且误判率和漏判率较低。  相似文献   
10.
龙岗火山区尾波Q值的初步研究   总被引:2,自引:0,他引:2       下载免费PDF全文
基于sato单次散射模型,利用2007年5月至2010年2月龙岗火山测震台网记录到的发生在火山区及邻近地区内的41次Mt.≥1.6地震的波形资料,计算了龙岗火山区的尾波Q值,得出尾波Q值与频率的关系为Q(f)=(42.65±7.53)f(0.845 9+0.164 2),具有以低Q值高η值为特征的火山构造活跃地区的尾波...  相似文献   
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