基于激光云高仪的北京沙尘气溶胶特征分析

利用激光云高仪对2015年春天北京沙尘天气过程进行连续观测,结合常规地面气象要素、能见度和PM_(10)颗粒物质量浓度变化分析了两次沙尘天气过程中浮尘、扬沙和沙尘暴三类天气现象时气溶胶后向散射系数的时空分布特征,分析了云高仪后向散射系数与PM_(10)颗粒物质量浓度的相关性。结果表明:激光云高仪能够监测沙尘气溶胶粒子的时空变化,扬沙和沙尘暴期间后向散射系数随高度的增加而减小,后向散射系数在0.005 km~(-1)·srad~(-1)以上的沙尘层厚度约500 m;云高仪的近地面大气后向散射系数变化趋势与PM_(10)颗粒物浓度变化相同,10、50和100 m高度上的后向散射系数与PM_(10)颗粒物质量浓度的相关系数均在0.82以上。     

电子背散射衍射(EBSD)技术在地壳构造变形研究中的应用

电子背散射衍射(EBSD)技术是岩组学研究的一项革命性新技术。该技术可以对传统的岩石薄片进行分析,实用性高,观测精度达到亚微米级别。配合扫描电子显微镜、阴极发光、波谱、能谱分析设备,EBSD技术可以对透明和非透明的任何对称性晶体进行取向测量,快速获取晶体显微结构、微区成分与晶体学参数,可以对晶体开展形貌观察、晶体优选方向(CPO)、取向差分析、物相鉴定、应变测量、晶界分析、变形机制、位错滑移系、晶内变形、温压条件研究。结合聚焦离子束(FIB)技术,可以获取矿物的三维结构图像。对地壳的主要矿物进行组构分析,结合野外矿物变形特征与试验岩石学研究成果,可以开展地壳构造运动学、动力学的研究。本文介绍岩组学的研究历史,以及EBSD技术在地壳常见矿物石英、钾长石、斜长石、角闪石以及假熔岩构造变形研究中的最新进展与典型实例,并对EBSD研究结果中一些潜在的不确定性因素进行了讨论。     

Soil moisture estimation using ERS 2 SAR data: a case study in the Solani River catchment/Estimation de l’humidité du sol grâce à des données ERS-2 SAR: étude de cas dans le bassin de la rivière Solani

Abstract

Abstract The information regarding spatial and temporal variation of soil moisture in a catchment is of utmost importance in hydrological, as well as many other studies. Point measurements from gravimetric and other methods for soil moisture determination are insufficient to understand the spatial behaviour of soil moisture in a region. Microwave remote sensing data from active sensors on board various satellites are increasingly being used to map spatial distribution of soil moisture within the 0–10 cm top surface. The northern part of India has a network of large rivers and canals and, therefore, spatial and temporal distribution of soil moisture in this region has a significant bearing on the hydrology of the region. In this paper, results on estimation of soil moisture from an ERS-2 SAR image in the catchment of the Solani River (a tributary to the River Ganga) in and around the town of Roorkee, India, have been presented. The radar backscatter coefficient for each pixel of the image has been modelled from the digital numbers of the SAR image. Gravimetric measurements have been made simultaneously during the satellite pass to determine the concurrent value of volumetric soil moisture at a large number of sample points within the satellite sweep area. The backscatter coefficient is found to vary from –30 dB to –42 dB for a variation in soil moisture from 30 to 75%. Regression analyses between volumetric soil moisture and both the digital numbers and backscatter coefficients were performed. Strong correlations between volumetric soil moisture and digital number were observed with R ² values of 0.84, 0.75 and 0.83 for bare soil, vegetative and combined surfaces, respectively. A similar trend was observed with the relationship between backscatter and volumetric soil moisture with R ² values of 0.60, 0.89 and 0.67 for bare soil, vegetative and combined surfaces, respectively. These results demonstrate the utilization of SAR data for estimation of spatial distribution of soil moisture in the region of the present study.     

基于ADCP反向散射强度估算悬沙浓度在洋山港的应用研究

洋山深水港地形差异大,流态复杂,在宽阔的西口门和窄深东口门,以传统方法同步开展悬沙输移监测十分困难。详述了在颗珠山汊道应用ADCP走航测沙的实现方法,结论显示,与传统代表垂线法成果相比,通过ADCP声反向散射信号计算的垂线平均含沙量,其对比标准差约为6%,随机不确定度在12%(置信水平为95%)左右,误差分布基本成正态,两种方法之间的断面输沙率相关系数达到0.96,可见,利用ADCP的声反向散射信号,只要标定得当,在洋山港区得到的垂线平均含沙量和断面输沙率是可信的,该技术将为洋山港区关键控制断面悬沙监测提供新思路。     

一种 ReliefF 和随机森林模型组合的多波束 海底底质分类方法

海底底质的快速探测和精细划分对海洋工程建设 、海洋资源开发等具有重要意义。多波束探测是目前声学底质遥测 的有效手段之一, 通常提取多波束反向散射强度图像和地形数据中的多维特征结合分类器进行底质分类。一方面, 若特征空 间维数过高, 分类效率会显著降低; 另一方面, 个别特征容易放大原始数据处理过程中仍存留的异常现象。针对这一问题, 本文提出了一种结合 Re1iefF 算法和随机森林 (Random Forest, RF) 算法的多波束底质分类方法。提取反向散射强度和地形 共 16 维特征, 利用Re1iefF 算法进行特征筛选, 排除低相关性特征, 降低特征空间维数, 结合采样点数据进行模型训练以构 建多波束底质分类模型。试验结合随机森林算法对未经特征筛选 、经主成分分析 (Principa1 Component Ana1ysis, PCA) 特征 优化后的特征进行分类实验作为对比。本文方法 Kappa 系数达到 85%, 分类总精度高于 90%, 精度具有明显优势, 耗时也 比较短。可见, 本文提出的结合 Re1iefF 和随机森林模型的多波束底质分类方法可以在保证分类精度的同时对多维特征进行 优化, 有效地提高了分类效率, 可对海底底质分类研究提供参考。     

Enhanced Acoustic Backscatter Due to High Abundance of Sand Dollars,Dendraster excentricus

Abstract

Detailed acoustic surveys of benthic sediments were conducted in July 1995 and September 1998 in the vicinity of Humboldt Bay, California. During these surveys, a band of enhanced acoustic backscatter was observed offshore from the bay entrance, approximately parallel to the isobaths, in water depths ranging from 16–24 m. In order to assess the cause of the increase in backscatter levels, a more comprehensive study was conducted in August and September 1999 using 100 kHz side-scan sonar, bottom grab sampling and underwater video recording. New observations indicated that a dense population of sand dollars (Dendraster excentricus) coincided with the enhanced backscatter band. Compared to the two previous acoustic studies, the central section of the band expanded westward by 180 m and the southern section of the band shifted eastward by 160 m, possibly resulting from a change in the biological or physical factors which influence the location and breadth of sand dollars.

The relationship between high sand dollar abundance and enhanced acoustic backscatter was further verified in the near shore region off Samoa Beach California, where a dense, banded population of sand dollars was previously observed. Video footage confirmed the presence of a band of sand dollars, also nominally parallel to the isobaths, in water depths of 8–15 m. A band of enhanced backscatter coincided with the dense sand dollar population. The identification of dense aggregations of sand dollars through enhanced acoustic backscatter could lead to the use of acoustic techniques to study sand dollar distributions and abundance.     

Operational Parameters,Data Density and Benthic Ecology: Considerations for Image-Based Classification of Multibeam Backscatter

Efforts to develop a procedurally robust method for automated classification of multibeam backscatter have taken a variety of approaches (e.g., image-based, textural, angular range analysis). For image-based classification, little research has focused on the roles of operational parameters of vessel and sonar system in affecting the final classification. Repeat multibeam surveys (2005 and 2006) conducted at the same area with different sounding densities were classified using QTC-Multiview. Comparison of class areas revealed 78% agreement between classifications derived from the two surveys. Cross-tabulation of ground truth video and class demonstrate 71% agreement in the low-density survey and 77% for the high-density. Differences between classifications are primarily attributed to variation in along track data density, errors in the compensation process, and/ or insufficient quality control of the input data. Natural change detection at the scales observed was determined not to be practically discernable from the errors associated with the classification process.     

Processing Multibeam Backscatter Data

A new highly precise source of data has recently become available using multibeam sonar systems in hydrography. Multibeam sonar systems can provide hydrographic quality depth data as well as high-resolution seafloor sonar images. We utilize the seafloor backscatter strength data of each beam from multibeam sonar and the automatic classification technology so that we can get the seafloor type identification maps. In this article, analyzing all kinds of error effects in backscatter strength, data are based on the relationship between backscatter strength and seafloor types. We emphasize particularly analyzing the influences of local bottom slope and near nadir reflection in backscatter strength data. We also give the correction algorithms and results of these two influent factors. After processing the raw backscatter strength data and correcting error effects, we can get processed backscatter strength data which reflect the features of seafloor types only. Applying the processed backscatter strength data and mosaicked seafloor sonar images, we engage in seafloor classification and geomorphy interpretation in future research.     

一种便携式高分辨率康普顿背散射扫描仪

兰博集团开发生产的ＬＢＤ１０１型康普顿背散射扫描仪（ＣＢＳ），可以由被测物的单侧进行检查，广泛用于工业领域的无损检测（ＮＤＴ）和无损评价（ＮＤＥ）。这种新仪器采用非常简单而紧凑的单源和单探测器系统。其扫描范围为２００ｍｍ（Ｘ向）×２００ｍｍ（Ｙ向）×１００ｍｍ（Ｚ向或深度），用自动升降装置可调节检测高度为２００ｍｍ～２０００ｍｍ。ＬＢＤ１０１优越的技术指标包括：最高的空间分辨率优于０．８ｍｍ，最好的密度分辨率约为１％，最小可探测的缺陷体积小于０．６ｍｍ３，最小可探测的缺陷大小为０．８，最小可探测裂纹宽度为０．１５ｍｍ。辐射防护安全性能好，辐射剂量率非常低。本文摘要并详细比较了ＣＯＭＳＣＡＮ１６０和ＬＢＤ１０１型ＣＢＳ扫描仪的性能和主要技术指标。本文列出了设计便携式高分辨率ＣＢＳ扫描仪的主要技术问题，还给出了实际检测结果