城市适应气候变化能力评价—以朝阳市为例     

崔妍  敖雪  周晓宇  王涛  林蓉  赵春雨  刘鸣彦  易雪 《气象与环境学报》2020,36(6):122-129

利用朝阳市1961—2016年气温、降水资料和2007—2016年社会经济资料,采用层次分析法（AHP）构建了基于气候系统和城市系统的城市适应气候变化能力评价指标体系,根据综合指数评价结果将适应能力分为五个等级,定量评估了2007—2016年朝阳市气候系统危险度、城市系统适应度以及城市适应气候变化能力动态变化。结果表明：2007—2016年朝阳市气候系统危险度显著增加,危险度由“较低”水平至“一般”水平,气候系统危险度的增加主要是由气象灾害和极端气候危险度增加造成的;随着经济发展和城市公共服务不断完善,朝阳市城市系统适应度稳步提升,由“低”水平提高至“高”水平;在气候系统和城市系统共同作用下,朝阳市城市适应气候变化能力显著提高,年增加率为0.029,综合能力由“较低”水平提升至“较高”水平。  相似文献   

基于不同微物理过程的广西沿海南风型暖区暴雨的数值模拟研究          下载免费PDF全文

智协飞  董甫  张玲  吉璐莹  朱寿鹏 《大气科学学报》2020,43(5):867-879

基于WRFV3.6.1,利用其8个云微物理参数化方案对2010—2016年华南汛期（4—9月）的6个南风型暖区暴雨个例进行数值模拟与多方案集成试验,并采用基于对象的诊断评估方法（MODE）对模拟结果进行评估。结果发现对于大多数个例,WRF模式都能较好地模拟出暖区暴雨的降水带,对暖区降水带模拟最好的参数化方案是WSM6方案,其次是Lin方案;模拟效果较差的参数化方案为CAM5.1与NSSL 2-mon方案。选取模拟结果较好的个例进行诊断分析,发现不同参数化方案得到的动力学特征以及云微物理特征相关变量存在较大差异,导致模拟降水的差异。在单方案模拟的基础上,开展多方案集成试验,发现多方案集成方法能够有效降低模式模拟的不确定性,产生更稳定的模拟结果。  相似文献   

基于FY-2G产品的江西省总云量最小二乘法建模与分析     

刘雅楠  邹海波  吴琼 《气象与环境学报》2020,36(2):105-111

使用2016年1月至2018年12月FY-2G卫星逐小时总云量产品和江西省26个测站的地面总云量观测资料,分析了两者在江西地区相关性的时空分布特征。结果表明:江西地区卫星总云量和地面观测总云量在数值和演变趋势上一致性较好,两者的总体相关系数超过0.60,但空间分布不均匀,大型水体(鄱阳湖和柘林湖)附近相关系数较低,低于0.45,江西省南部地区相关系数也不高,低于0.50。两者的相关系数在时间上也分布不均,其中14时的相关系数最高。此外,基于FY-2G卫星总云量产品和最小二乘法采用分段建模的方式,构建了江西省地面观测云的回归模型,且模拟的地面总云量在数值和演变趋势上更加接近观测的地面云量。  相似文献   

亚非夏季风的年代际变化:大西洋多年代际振荡与太平洋年代际振荡的协同作用          下载免费PDF全文

丁一汇  李怡  王遵娅  司东  柳艳菊 《大气科学学报》2020,43(1):20-32

亚非夏季风系统包括非洲夏季风、南亚夏季风和东亚夏季风。它是全球季风系统中具有高度整体一致性变化的系统,其主要原因是亚非夏季风系统具有相同的主要驱动力:AMO(Atlantic Multidecadal Oscillation,大西洋多年代际振荡)和PDO(Pacific Decadal Oscillation,太平洋年代际振荡)海洋年代际变化模态。在此前提下,本文首先阐述了AMO对亚非夏季风的强迫作用与遥相关作用,特别强调了它在亚非夏季风及其降水年代际转型中的作用;其次讨论了PDO与冬春积雪的年代际变化对东亚夏季风雨带的协同作用;最后综合分析了AMO、PDO与IOBM(Indian Ocean Basin Mode,印度洋海盆一致模态)的协同作用,指出印度洋海洋模态在年代尺度上独立于AMO与PDO的相关组合,主要起着加强东亚夏季风活动的作用。  相似文献   

利用机载LiDAR数据提取与分析地裂缝     

肖春蕾  郭兆成  张宗贵  李迁  尚博譞  吴芳 《国土资源遥感》2014,(4)

机载激光扫描可获取植被茂密地区的数字地形模型(DTM),但将其用于茂密植被覆盖区地裂缝提取方法的研究还不多见。以湖南冷水江市浪石滩为试验区,基于机载Li DAR的激光点云数据,研究了植被覆盖区地裂缝的提取方法,分析了地裂缝的微地貌特征。首先对离散的三维激光点云数据依次进行基于不规则三角网滤波、高程滤波及回波信息强度滤波提取地面点,以保留完整的微地貌微特征;然后构建不规则三角网,反距离加权内插生成数字高程模型(DEM),提取地裂缝识别参数,同时基于最小曲率对地裂缝进行线性探测,提取地裂缝的长度信息,且利用地裂缝剖面信息分析其微特征,结合识别参数分析地裂缝的稳定性。研究结果表明:利用机载Li DAR点云数据提取的地裂缝识别参数,能够确定地裂缝的位置、坡度坡向、长度和深度信息,有助于判定地裂缝的稳定性;在植被较为茂密、地面点密度稀疏的区域,保留一定的低矮植被所提取到的DEM能更好地保留地裂缝的微地貌特征。  相似文献   

Automatic registration of optical imagery with 3D LiDAR data using statistical similarity     

《ISPRS Journal of Photogrammetry and Remote Sensing》2014

The development of robust and accurate methods for automatic registration of optical imagery and 3D LiDAR data continues to be a challenge for a variety of applications in photogrammetry, computer vision and remote sensing. This paper proposes a new approach for the registration of optical imagery with LiDAR data based on the theory of Mutual Information (MI), which exploits the statistical dependency between same- and multi-modal datasets to achieve accurate registration. The MI-based similarity measures quantify dependencies between aerial imagery, and both LiDAR intensity data and 3D point cloud data. The needs for specific physical feature correspondences, which are not always attainable in the registration of imagery with 3D point clouds, are avoided. Current methods for registering 2D imagery to 3D point clouds are first reviewed, after which the mutual MI approach is presented. Particular attention is given to adoption of the Normalised Combined Mutual Information (NCMI) approach as a means to produce a similarity measure that exploits the inherently registered LiDAR intensity and point cloud data so as to improve the robustness of registration between optical imagery and LiDAR data. The effectiveness of local versus global similarity measures is also investigated, as are the transformation models involved in the registration process. An experimental program conducted to evaluate MI-based methods for registering aerial imagery to LiDAR data is reported and the results obtained in two areas with differing terrain and land cover, and with aerial imagery of different resolution and LiDAR data with different point density are discussed. These results demonstrate the potential of the MI and especially the CMI methods for registration of imagery and 3D point clouds, and they highlight the feasibility and robustness of the presented MI-based approach to automated registration of multi-sensor, multi-temporal and multi-resolution remote sensing data for a wide range of applications.  相似文献   

An automated approach to vertical road characterisation using mobile LiDAR systems: Longitudinal profiles and cross-sections     

《ISPRS Journal of Photogrammetry and Remote Sensing》2014

The characterisation the vertical profiles and cross-sections of roads is important for the verification of proper construction and road safety assessment. The goal of this paper is the extraction of geometric parameters through the automatic processing of mobile LiDAR system (MLS) point clouds. Massive and complex datasets provided by the MLS are processed using a hierarchical strategy that includes segmentation, principal component analysis (PCA)-based orthogonal regression, filtering and parameter extraction procedures. Best-fit geometric parameters act as a vertical road model for both linear parameters (slope and vertical curves) and cross-sections (superelevations). The proposed automatic processing approach gives satisfactory results for the analysed scenario.  相似文献   

Integration of intensity textures and local geometry descriptors from Terrestrial Laser Scanning to map chert in outcrops     

《ISPRS Journal of Photogrammetry and Remote Sensing》2014

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“工程测量”实践教学体系的研究与构建     

王安怡  陈昌平  沈璐 《东北测绘》2014,(1):76-78,82

工程测量是港口航道与海岸工程专业技术人员必须掌握的基本技能之一。为解决应用型本科院校工程测量课程的实践教学体系与应用型人才培养目标要求不相适应的问题,从剖析实践教学过程中存在的现实问题出发,结合学校及专业实际情况,以大连海洋大学港口航道与海岸工程专业为例,提出了一套完整的、操作性强、专业特色鲜明的实践教学体系,并取得了一定的教学成果,对于普通高等学校应用型人才的培养具有重要的借鉴意义。  相似文献   

PTrees: A point-based approach to forest tree extraction from lidar data     

《International Journal of Applied Earth Observation and Geoinformation》2014

This paper introduces PTrees, a multi-scale dynamic point cloud segmentation dedicated to forest tree extraction from lidar point clouds. The method process the point data using the raw elevation values (Z) and compute height (H = Z − ground elevation) during post-processing using an innovative procedure allowing to preserve the geometry of crown points. Multiple segmentations are done at different scales. Segmentation criteria are then applied to dynamically select the best set of apices from the tree segments extracted at the various scales. The selected set of apices is then used to generate a final segmentation. PTrees has been tested in 3 different forest types, allowing to detect 82% of the trees with under 10% of false detection rate. Future development will integrate crown profile estimation during the segmentation process in order to both maximize the detection of suppressed trees and minimize false detections.  相似文献