LIDAR技术在内陆水系监测管理中应用综述

机载激光雷达(Light Detection and Ranging,LIDAR)测距系统是20世纪90年代发展起来的高新技术,该系统是集激光、全球定位系统和惯性导航系统3种技术于一体的测量系统,能够快速、精确的获取物体三维数据。文章简要说明了LIDAR技术的基本原理。介绍了国外LIDAR技术在内陆河流监测中的应用,如河网测绘、河漫滩的监测管理、河岸侵蚀监测、洪水监测管理等内陆水系监测管理实例。通过对流域范围的LIDAR点云数据进行滤波与分类,建立数字高程模型,或结合使用地理信息系统、遥感影像、全球定位系统采集的数据,来实现上述实例。简要评述了LIDAR技术在内陆水域监测管理方面的优势,以及当前我国内陆水系监测管理的技术现状。通过国外典型案例说明LIDAR技术在我国内陆水系监测管理中广阔的应用前景。     

Erosional Consequence of Saltcedar Control

Removal of nonnative riparian trees is accelerating to conserve water and improve habitat for native species. Widespread control of dominant species, however, can lead to unintended erosion. Helicopter herbicide application in 2003 along a 12-km reach of the Rio Puerco, New Mexico, eliminated the target invasive species saltcedar (Tamarix spp.), which dominated the floodplain, as well as the native species sandbar willow (Salix exigua Nuttall), which occurred as a fringe along the channel. Herbicide application initiated a natural experiment testing the importance of riparian vegetation for bank stability along this data-rich river. A flood three years later eroded about 680,000 m³ of sediment, increasing mean channel width of the sprayed reach by 84%. Erosion upstream and downstream from the sprayed reach during this flood was inconsequential. Sand eroded from channel banks was transported an average of 5 km downstream and deposited on the floodplain and channel bed. Although vegetation was killed across the floodplain in the sprayed reach, erosion was almost entirely confined to the channel banks. The absence of dense, flexible woody stems on the banks reduced drag on the flow, leading to high shear stress at the toe of the banks, fluvial erosion, bank undercutting, and mass failure. The potential for increased erosion must be included in consideration of phreatophyte control projects.     

气象激光雷达的城市边界层探测

为了研究城市边界层结构变化特征,2005年7月利用气象激光雷达在南京城区做了城市边界层探测试验,就此次观测试验作了简要叙述并选取部分观测资料为示例,着重对气象激光雷达确定城市边界层高度垂直分布及逐时变化以及地面气象环境对边界层的日变化影响进行了初步分析.结果表明,主要由近地层对流混合形成的城市边界层高度具有典型的日变化特点,早晚比较低,日间有一个从低到高再到低的变化过程.提出了一种由边界层混合状态确定边界层高度的方法.分析结果表明,由气溶胶消光系数确定城市边界层高度比较准确.将MSL探测结果与同步的低空无线电探测仪的温度探测结果进行比较,结果表明,两者获得的实际廓线分布相当吻合,线性良好.就地表温度、辐射、湿度及云等气象要素对边界层垂直分布及时间变化的影响做了分析.结果表明,这些气象要素的分布对城市边界层高度的垂直分布及其逐时变化有明显影响.     

Three-Dimensional Modeling of an Urban Park and Trees by Combined Airborne and Portable On-Ground Scanning LIDAR Remote Sensing

In this study, we confirmed the utility of airborne and portable on-ground scanning light detection and ranging (LIDARs) for three-dimensional visualization of an urban park and quantification of biophysical variables of trees in the park. The digital canopy height model (DCHM) and digital terrain model generated from airborne scanning LIDAR data provided precise images of the ground surface and individual tree canopies. The heights of 166 coniferous and broadleaf trees of 11 species in the park were estimated from the DCHM images with slight underestimation (mean error = −0.14 m, RMSE = 0.30 m). Portable on-ground scanning LIDAR provided images of individual trees with detailed features. Tree height and trunk diameter were estimated to be within 0.31 m and 1 cm, respectively, from the on-ground LIDAR images. We combined airborne and on-ground LIDAR images to overcome blind regions and created a complete three-dimensional model of three standing trees. The model allowed not only visual assessment from all viewpoints but also quantitative estimation of canopy volume, trunk volume, and canopy cross-sectional area.     

A GIS-based approach to spatio-temporal analysis of environmental pollution in urban areas: A case study of Prague's environment extended by LIDAR data

Environmental pollution of urban areas is one of key factors that state authorities and local agencies have to consider in the decision-making process. To find a compromise among many criteria, spatial analysis extended by geostatistical methods and dynamic models has to be carried out. In this case, spatial analysis includes processing of a wide range of air, water and soil pollution data and possibly noise assessment and waste management data. Other spatial inputs consist of data from remote sensing and GPS field measurements. Integration and spatial data management are carried out within the framework of a geographic information system (GIS). From a modeling point of view, GIS is used mainly for the preprocessing and postprocessing of data to be displayed in digital map layers and visualized in 3D scenes. Moreover, for preprocessing and postprocessing, deterministic and geostatistical methods (IDW, ordinary kriging) are used for spatial interpolation; geoprocessing and raster algebra are used in multi-criteria evaluation and risk assessment methods. GIS is also used as a platform for spatio-temporal analyses or for building relationships between the GIS database and stand-alone modeling tools. A case study is presented illustrating the application of spatial analysis to the urban areas of Prague. This involved incorporating environmental data from monitoring networks and field measurements into digital map layers. Extra data inputs were used to represent the 3D concentration fields of air pollutants (ozone, NO₂) measured by differential absorption LIDAR. ArcGIS was used to provide spatial data management and analysis, extended by modeling tools developed internally in the ArcObjects environment and external modules developed with MapObjects. Ordinary kriging methods were employed to predict ozone concentrations in selected 3D locations together with estimates of variability. Higher ozone concentrations were found above crossroads with their heavy traffic than above the surrounding areas. Ozone concentrations also varied with height above the digital elevation model. Processed data, spatial analysis and models are integrated within the framework of the GIS project, providing an approach that state and local authorities can use to address environmental protection issues.     

Synergetic analysis of springtime air pollution episodes over Gwangju, Korea

The characteristics of springtime aerosols,including their optical and microphysical properties,were analyzed for the months of March to May of 2009 in Gwangju(35.23°N,126.84°E),Korea.A high Light Detection and Ranging(LIDAR)-derived aerosol depolarization ratio(δ) of 0.25 ± 0.04 was determined on dust particles during the observation period.The?ngstr?m exponent values of the 440–870 nm wavelength pair(?_(440–870)) and single-scattering albedo at 675 nm(Ω_(675)) measured by a CIMEL sun/sky radiometer were 0.77 ± 0.19 and 0.95 ±0.01,respectively.The elevated dust layers reached a maximum elevation of 4 km above sea level.Anthropogenic/smoke particles that originated from highly populated/industrialized regions could be distinguished by their relatively smaller particle size(?_(440–870) ranged between1.33 and 1.36) and higher light-absorbing(Ω_(675) of 0.92 ± 0.01) characteristics.These aerosols are mostly distributed at altitudes 1.2 km.The root-mean-square deviation(RMSD) between the aerosol optical depth(AOD,τ) derived from LIDAR_((τ_(LIDAR))) and from the CIMEL sun/sky radiometer_((τ_(CIMEL))) varied with respect to the surface PM10 concentration.The RMSD between τ_(LIDAR) and τ_(CIMEL) was as low as 13% under lower PM_(10) concentration levels( 100 μg/m~3).In contrast,the RMSD between τ_(LIDAR) and τ_(CIMEL) increased three times(~31%) under high surface PM_(10) concentration levels(100 μg/m~3).These results suggest that the accuracy of τ_(LIDAR) is influenced by specific atmospheric conditions,regardless of its uncertainty.     

大气气溶胶多层结构的激光雷达探测

目的探测大气气溶胶的垂直分布,表征气溶胶的垂直结构和各层气溶胶的性质。方法使用金华站点激光雷达观测数据进行个例分析,用梯度法对边界层进行反演,利用退偏振比、颜色比和光学厚度对大气中不同高度的气溶胶层进行分析。结果大气垂直结构会出现多层不同性质的气溶胶层,激光雷达可以准确地探测气溶胶随时间变化的垂直结构特征。选取0点至8点进行分析表明,在1.5km高度上下出现两层气溶胶层,上下两层气溶胶层呈现出不同的性质,且其性质会随时间变化而改变。结论大气边界层以外气溶胶分布较为复杂,利用激光雷达探测的气溶胶消光系数、退偏振比、颜色比和光学厚度等参数能够较好地表征气溶胶的垂直结构和各层气溶胶的性质。     

北京夏季典型臭氧污染分布特征及影响因子

为研究北京地区O₃分布特征及其影响因子,利用AML-3车载式大气环境污染激光雷达系统(下称AML-3)对北京地区2011年5月7日—6月9日的φ(O₃)进行观测. 通过AML-3自带的污染物地面观测系统和差分吸收激光雷达,分析近地面、高空φ(O₃)时空分布特征,并将φ(O₃)与温度、风速及风向3个气象要素进行相关分析. 结果表明:近地面φ(O₃)日变化明显,06:00左右为低谷,下午14:00左右达到峰值. 高空φ(O₃)的空间分布很不均匀,上层气流易使O₃富集层向下输送造成污染,同时稳定边界层对大气扩散的不利影响也是形成O₃污染的重要原因. φ(O₃)的日变化趋势与温度的日变化趋势呈显著正相关,R(相关系数)为0.74;上下层湍流交换使风速与近地面φ(O₃)呈正相关,而水平扩散使二者呈负相关;通过分析风向的分布规律发现,东北风易造成北京地区O₃污染.      

上海地区一次典型连续浮尘天气过程分析

研究分析了2011年5月1~4日上海地区一次典型的连续浮尘天气过程.利用微脉冲激光雷达数据资料反演得到的气溶胶消光系数和垂直廓线,结合地面气象数据和气溶胶观测资料以及卫星遥感资料,初步研究了此次连续浮尘过程的传输特征和形成的主要原因.结果表明,5月1日的浮尘过程以PM2.5的影响为主,而5月2~4日为回流浮尘过程,PM2.5比重较5月1日下降.外源性输入、垂直风场分布和大气层结变化为浮尘天气的发生和维持创造了有利条件.研究还发现,在此次浮尘的气溶胶大气消光作用中,其散射贡献大于吸收作用.     

IMPACT OF VARIED DATA RESOLUTION ON HYDRAULIC MODELING AND FLOODPLAIN DELINEATION1

ABSTRACT: Current data collection technologies such as light detection and ranging (LIDAR) produce dense digital terrain data that result in more accurate digital terrain models (DTMs) for engineering applications. However, such data are redundant and often cumbersome for hydrologic and hydraulic modeling purposes. Data filtering provides a means of eliminating redundant points and facilitates model preparation. This paper demonstrates the impact of varied data resolution on a case study completed for a 2.3 mi² area with mild slopes (about 001 ft/ft) along Leith Creek near Laurinburg, North Carolina. For the original data set and seven filtered data sets, filtering induced changes in elevation, area, and hydraulic radius were determined for 10 water depths at 23 cross sections. Water surface elevations resulting from HEC‐RAS (Hydrologic Engineering Center‐River Analysis System) models for each data set were then compared. A hydraulic model sensitivity analysis was also conducted to compare filtering error to error introduced by variation in flow rates and roughness values. Finally, automated floodplain delineation was performed for each filter level based on the computed hydraulic model results and the filtered LIDAR elevations. Data filtering results indicate that significant time savings are achieved throughout the modeling process and that filtering to four degrees can be performed without compromising cross‐sectional geometry, hydraulic model results, or floodplain delineation results.