吉林省湖、库水质评估及其污染防治

湖、库富营养化是营养物质输入过程而引起的一种水效应。它不仅表现为水生植物和藻类的过度生长,同时还伴随着一系列的水质变化进而导致水质恶化,影响水体多种功能。本文以近年监测的主要湖、库的水质数据,采用主成分聚类分析和营养度评价方法对吉林省的主要湖、库的富营养化程度进行了分析与评价。这对区域水资源的合理开发利用,开展环境质量评价与预测,以及对制定湖、库富营养化防治对策具有重要意义。     

一种新颖的探地雷达快速正演模拟及埋地目标探测机器学习方法

探地雷达正演模拟在真实雷达数据解译及全波形反演中扮演着重要的角色,针对传统探地雷达（Ground Penetrating Radar,GPR）正演模拟计算量巨大、耗时、不利于实时探测等问题,提出一种基于机器学习框架的近实时GPR正演模拟方法.以混凝土中的钢筋探测作为GPR应用场景,混凝土的含水量、钢筋半径及埋地深度作为模型参数,利用时域有限差分数值模拟散射回波信号;运用主成分分析对回波数据进行降维处理得到相应的主成分权值系数,并以此作为机器学习网络的输出;设计了一种基于随机森林的多层循环网络架构和学习策略,不仅充分挖掘学习模型参数和主成分权值系数之间的内在因果关系,也共享主成分间的相互联系,并具有对每个预测主成分完善和修正的功能,以此实现基于机器学习的探地雷达快速正演模拟,与传统机器学习相比,有效提高了正演模拟的精度.在此基础上将两个深度神经网络与随机森林相结合,以回波数据主成分系数为输入,建立了基于机器学习的场景参数预测模型,实现了近实时的埋地目标探测,预测的混凝土含水量最大误差为2%,钢筋埋地深度最大误差为6.7%.

     

长江带现代地震构造应力场分布特征

根据长江带76个地震震源机制解与17个小震综合断层面解的结果统计分析,得到该带地震应力场主应力方向的优势分布。表明该带处于北东东—南东东向挤压和北北西—近南北向引张的构造应力作用之中。在力的性质上,该带水平张应力高于水平压应力,斜向压应力又高于斜向张应力,与华北地区比较,主应力方向相对向东南方向偏转,该带水平力和斜力所占比例均高于华北地区,同时讨论了该带中三个分区的现代构造应力场分布及它们的力源关系。     

Strain and stress changes in the Tokai region of central Japan expected from a 3D subduction model

Using a 3D simulation model with a rate- and state-dependent friction law, Kuroki et al. (2002) discussed a process of a hypothetical great earthquake in the Tokai region, where the Philippine Sea plate subducts beneath the Eurasian plate. One of the main concerns was characteristic changes in volumetric strain and displacement on the ground surface which are caused by the evolution of the coupling between the two plates, i.e. evolution of a strongly coupled region between the plates which results in a preslip of the earthquake.In the present paper we discuss other observable phenomena which might help us to identify the stage of the coupling. The preslip of the earthquake could be more effectively detected by using full information about the change of strain rather than volumetric strain alone; the change in rotation angle of principal strain axes should amount to several tens of degrees while the order of the change in volumetric strain is 10⁻⁸ to 10⁻⁷ for 1 day before the earthquake. The spatial pattern of the displacement field on the ground surface provides us with information on the intermediate-term precursory changes in the plate coupling. Information given by micro-earthquakes is less direct. The seismicity should change considerably when a highly shear-stressed ring on the plate interface passes nearby, and ups and downs of seismicity rate will be estimated by Coulomb failure stress. On the other hand, focal mechanisms are rather insensitive to the progress of plate subduction. The changes may be not significant even at the time of the preslip. The interplate coupling yields a stress field that should produce reverse fault type mechanisms, but the stress field is modulated by a curved shape of the plate interface. Superposition of a regional tectonic stress to this field explains observed spatial distribution of focal mechanisms in the Tokai region which involve large strike-slip components.     

鄂尔多斯块体西缘地壳介质各向异性:从银川地堑到海原断裂带

通过收集鄂尔多斯块体西缘固定地震台网2010年6月至2017年8月的近场地震资料,选择符合剪切波分裂分析的14个台站记录的共137个有效事件波形,得到了剪切波分裂参数,即快剪切波（简称快波）偏振方向和慢剪切波（简称慢波）时间延迟.结果表明,研究区的快波偏振方向和慢波时间延迟具有明显的分区特征,快波偏振方向主要与构造应力场方向或者断层走向大体一致.鄂尔多斯西缘紧邻块体边界的台站,快波偏振方向自北向南呈现NS、NNE、NE向的变化,与青藏高原东北缘主压应力方向变化基本一致.银川地堑东西两侧的快波偏振方向有差异,东侧区域主要受青藏高原NNE向挤压和黄河-灵武断裂共同影响,而西侧区域可能受到阿拉善块体与鄂尔多斯块体之间的NW方向的主张应力和阿拉善块体内部应力分布的影响;鄂尔多斯块体、阿拉善块体与青藏高原的交汇区快波优势偏振方向为NE向,与青藏高原东北缘主压应力方向一致;海原断裂带及以南区域快剪切波优势偏振方向为WNW向,与断裂走向基本一致,较好的说明了海原断裂带为活跃的活动断裂.构造与断裂分布都是控制快波偏振方向的主要因素,走滑断裂上的台站快波偏振方向与断裂走向一致,表明这些台站主要受到断裂的强烈影响;走滑断裂附近的个别台站快波偏振方向呈现与构造应力场一致的方向,表明几乎没有受到断裂的影响.鄂尔多斯、阿拉善与青藏高原的交汇区平均时间延迟高于其他地区,反映了青藏高原在NE向运动过程中,受到稳定的鄂尔多斯块体阻挡作用,导致了交汇区地壳介质各向异性程度增加.以海原断裂带到六盘山断裂带为界,其两侧区域的各向异性差异性明显,揭示了应力与介质特性的差异,暗示其邻近区域,特别在海原断裂带东端到六盘山断裂带与鄂尔多斯块体西缘交汇区域,可能有较高的强震危险背景.本研究还对该区域的地壳和上地幔的耦合问题进行了初步讨论.

     

国土资源部CBERS-02B星“主用户”应用机制研究

以推动国产卫星数据应用为要旨,通过相关组织落实、有关工作部署以及CBERS—02B星数据推广应用,逐步深化02B星“主用户”应用机制。     

Field hyperspectral data analysis for discriminating spectral behavior of tea plantations under various management practices

The quality and yield of tea depends upon management of tea plantations, which takes into account the factors like type, age of plantation, growth stage, pruning status, light conditions, and disease incidence. Recognizing the importance of hyperspectral data in detecting minute spectral variations in vegetation, the present study was conducted to explore applicability of such data in evaluating these factors. Also stepwise discriminant analysis and principal component analysis were conducted to identify the appropriate bands for accessing the above mentioned factors. The Green region followed by NIR region was found as most appropriate best band for discriminating different types of tea plants, and the tea in sunlit and shade condition. For discriminating age of plantation, growth stage of tea, and diseased and healthy bush, Blue region was most appropriate. The Red and NIR regions were best bands to discriminate pruned and unpruned tea. The study concluded that field hyperspectral data can be efficiently used to know the plantation that need special care and may be an indicator of tea productivity. The spectral signature of these characteristics of tea plantations may also be used to classify the hyperspectral satellite data to derive these parameters at regional scale.     

Individual tree crown segmentation in tropical peat swamp forest using airborne hyperspectral data

Abstract

Individual tree crown segmentation is important step for deriving various information for fine-scale analysis of ecological process. However, only several studies have applied tree crown segmentation in tropical forest ecosystems, especially in mixed peat swamp forests. In this study, hyperspectral data were used to detect changes in the biochemical and biophysical characteristics, which are important factors for tree crown segmentation. Principal Component Analysis method was performed to investigate its influence on crown segmentation. Visually Selected PCs, 160 PCs and 160 Spectral Bands image were used and two segmentation techniques; Watershed Transformation and Region Growing segmentation were applied on those images. The highest accuracy was achieved for the crown segmentation is using Region Growing segmentation, based on 1:1 measurement, D value and RMSE value. The results obtained from 160 PCs image using region growing algorithm shows better accuracy with D value of 0.2 (80% accuracy, 20% error) and RMSE of 9.9 m².     

抗差主成分估计及应用

本文基于抗差估计和主成分估计理论，提出一种新的估计－抗差主成分估计，推导了参数的抗差主成分解，并结合算例进行了试算。结果表明：抗差主成分估计不仅可以解除法方程系数降的病态，而且对于抑制观测粗差的影响也有显著功效。     

Multivariate statistical analysis of chemical and stable isotopic data as indicative of groundwater evolution with reduced exploitation

Groundwater resources in the North China Plain (NCP) are undergoing tremendous changes in response to the operation of groundwater exploitation reduction (GWER) project. To identify groundwater evolution in this complex context, hierarchical cluster analysis (HCA) and principal component analysis (PCA) were combined to interpret an integrated dataset of stable isotopes and chemical data from four sampling campaigns in a pilot area of groundwater control. We proposed a novel HCA approach integrating stable isotopes and chemical signals, which successfully partitioned the groundwater samples into the unconfined and the confined water samples. Stable isotopic evidence showed that the lateral inflow and the surface water may contribute more to groundwater recharge in this region than local modern precipitation. The unconfined water’s main hydrochemical types were Na type with mixed anions, and Na–Cl–SO₄ type, while the confined water was mainly Na–Cl and Na–SO₄ types. Geochemical processes mainly involved the dissolution/precipitation of halite, gypsum, Glauber's salt, feldspar, calcite and dolomite, as well as the cation exchange. PCA results showed that water–rock interaction (i.e., salinity-based and alkalinity-based processes) predominated the hydrochemical evolution, along with local nitrate contamination resulting from fertilizers and domestic sewage. The GWER project regulated the natural evolution of unconfined water chemistry, and significantly reduced the unconfined water’s salinity (mainly Na⁺, Mg²⁺, SO₄^2?). This may be attributed to upward leakage from low-salinity confined water at some parts of the aquifer. Additionally, insignificant changes in the confined water’s salinity reflected that the impact of GWER on the confined aquifer was negligible. This study facilitates the groundwater classification effectively in the areas lack of geological data, and enhances the knowledge of groundwater chemical evolution in such a region where groundwater restoration is in progress, with important implications for groundwater sustainable management in similar basins worldwide.