青海地区一次雷暴的地闪活动及云内的电场探空观测

2016年夏季在青海大通地区获得一次局地雷暴云内的电场探空资料,结合雷达、地闪定位资料,详细分析了该雷暴的地闪活动特征及云内的电荷结构.结果显示,该雷暴过程的负地闪在时间上呈间歇性发生,在空间分布上表现为不连续,且所有的正地闪都发生于雷暴的成熟阶段.在雷暴成熟阶段与消散阶段过渡期获得云内的垂直电场廓线表明,雷暴内的电荷结构在探空阶段呈四极性,最下部为处于暖云区内负电荷区,往上依次改变极性.最上部的正电荷区由于数据丢失无法判断其上边界外,其余3个电荷区的海拔高度分别为:5.5～5.7km(3.4～2.3℃)、5.7～6.2km(2.3～-0.4℃)和6.2～6.6km(-0.9～-1.7℃),对应的电荷密度为-1.81nC·m^-3、2.47nC·m^-3和-1.76nC·m^-3.其中,下部正电荷区的强度最大,其次为上部的负电荷区.通过分析电荷区分布与正地闪活动的关系,认为暖云区内负电荷区的形成有利于诱发下部正电荷区的对地放电.     

ZH-1卫星观测的VLF人工源信号特征分析与全波模拟

中国地震电磁监测试验卫星张衡一号(ZH-1)已于2018年2月2日成功发射,正在开展卫星数据在轨测试,并对卫星数据质量进行判定.本文对ZH-1卫星2018年5月至6月夜侧的VLF频段电场功率谱数据进行了分析.通过分析位于不同L值、具有不同发射频率的多个VLF人工源上空的卫星重访轨道观测数据,发现ZH-1卫星记录的人工源信号电场变化标准差与DEMETER卫星记录电场变化标准差几乎一致,说明ZH-1卫星观测数据具有较好的稳定性.通过重访轨道均值与全波模型计算结果对比,发现两者在数值上较为接近,在形态上较为一致,说明ZH-1卫星VLF频段电场功率谱数据具有一定的可靠性.此外,研究了VLF人工源上空及共轭区的电场分布特征和电波传播规律,并与DEMETER卫星的结果进行了对比,结果表明VLF人工源产生的电磁辐射穿透电离层后以导管或者非导管的哨声波模向共轭区传播,因为传播过程中的朗道阻尼,共轭区的电场能量比辐射源顶空更小.VLF人工源位于L1.5时,电磁波传播更容易发生非导管传播,VLF人工源信号导管传播模式在共轭区的电场响应相对于共轭点会发生一定程度北向偏移.     

Spatio-temporal modeling of PM2.5 concentrations with missing data problem: a case study in Beijing,China

ABSTRACT

One of the major challenges in conducting epidemiological studies of air pollution and health is the difficulty of estimating the degree of exposure accurately. Fine particulate matter (PM_2.5) concentrations vary in space and time, which are difficult to estimate in rural, suburban and smaller urban areas due to the sparsity of the ground monitoring network. Satellite retrieved aerosol optical depth (AOD) has been increasingly used as a proxy of ground PM_2.5 observations, although it suffers from non-trivial missing data problems. To address these issues, we developed a multi-stage statistical model in which daily PM_2.5 concentrations can be obtained with complete spatial coverage. The model consists of three stages – an inverse probability weighting scheme to correct non-random missing patterns of AOD values, a spatio-temporal linear mixed effect model to account for the spatially and temporally varying PM_2.5-AOD relationships, and a gap-filling model based on the integrated nested Laplace approximation-stochastic partial differential equations (INLA-SPDE). Good model performance was achieved from out-of-sample validation as shown in R² of 0.93 and root mean square error of 9.64 μg/m³. The results indicated that the multi-stage PM_2.5 prediction model proposed in the present study yielded highly accurate predictions, while gaining computational efficiency from the INLA-SPDE.     

Spatiotemporal pattern of gypsum blooms in the Salton Sea,California, during 2000-2018

Algal blooms and the resulting deterioration of water quality have threatened the environmental health of inland lakes. This study investigated the spatiotemporal dynamics of gypsum blooms in the Salton Sea, the largest inland water body in California. An innovative gypsum bloom index (GI) was proposed to detect gypsum blooms based on Moderate Resolution Imaging Spectroradiometer (MODIS)/Terra data for three bands (469, 555, and 859 nm) during 2000–2018. Discoloration (from green to reddish brown) was observed in the gypsum bloom-infested waters mapped using the hue, saturation, and value (HSV) color model. We found that: (1) the GI is able to effectively map gypsum blooms in the Salton Sea with a relatively high accuracy (85 %); (2) the largest gypsum bloom area was observed in summer (August and September), with notable gypsum blooms lasting more than 40 days in 2003, 2005, 2006, 2016, and 2018; (3) the gypsum bloom-infested waters shifted from the center to the southeastern shore of the lake during 2003–2018, and the frequency of gypsum blooms significantly increased since 2008. Meanwhile, the temporal and spatial differences between the northwestern and southeastern lake increased over the observation period; and (4) discoloration occurred in the gypsum bloom-infested waters and lasted for 14 days on average, longer periods of discoloration (more than 20 days) occurred d in 2002, 2016, and 2018. The reconstruction of gypsum bloom dynamics in the Salton Sea provides valuable information for the practical management and restoration of the Salton Sea.     

Discrimination of species composition types of a grazed pasture landscape using Sentinel-1 and Sentinel-2 data

Species composition is one of the important measurable indices of alpha diversity and hence aligns with the measurable Essential Biodiversity Variables meant to fulfil the Aichi Biodiversity Targets by 2020. Graziers also seek for pasture fields with varied species composition for their livestock, but visual determination of the species composition is not practicable for graziers with large fields. Consequently, this study demonstrated the capability of Sentinel-1 Synthetic Aperture Radar (S1) and Sentinel-2 Multispectral Instrument (S2) to discriminate pasture fields with single-species composition, two-species composition and multi-species composition for a pastoral landscape in Australia. The study used K-Nearest Neighbours (KNN), Random Forest (RF) and Support Vector Machine (SVM) classifiers to evaluate the strengths of S1-alone and S2-alone features and the combination of these S1 and S2 features to discriminate the composition types. For the S1 experiment, KNN which was the reference classifier achieved an overall accuracy of 0.85 while RF and SVM produced 0.74 and 0.89, respectively. The S2 experiment produced accuracies higher than the S1 in that the overall performance of the KNN classifier was 0.87 while RF and SVM were 0.93 and 0.89, respectively. The combination of the S1 and S2 features elicited the highest accuracy estimates of the classifiers in that the KNN classifier recorded 0.89 while RF and SVM produced 0.96 and 0.93, respectively. In conclusion, the inclusion of S1 features improve the classifiers created with S2 features only.     

利用多年卫星资料分析青岛和茂名附近海域海面风场变化

文章围绕青岛海洋经济开发和茂名海洋气象基础科学综合试验对附近海域基础环境数据的需求,利用多年卫星资料开展了青岛和茂名附近海域海面风场统计分析研究。结果表明:青岛附近海域风向频率和风速频率最大的方向均为北,相对应的平均风速值为3.5m/s;茂名附近海域风向频率最大方向为ENE,风速频率最大方向为NNE,茂名附近海域平均风速值全年均大于青岛附近海域平均风速值,研究成果可为开展海洋气象业务观测和科学试验提供基础数据支持,为"一带一路"海上风能资源开发与利用提供决策支撑。     

基于D-InSAR技术的某震区地震三维形变场反演

雷达差分干涉测量技术(Different InSAR,D-InSAR)作为的一项新的发展技术,监测精度极高,是目前地表形变监测最有效的方法之一。然而,D-InSAR技术只能获取地面沿雷达视线方向的形变量(Line of Slight,LOS),因此我们需结合其它技术进行联合解算,来求解三维形变量以获取真实地表的形变情况。本研究以某震区为研究区,利用地震前后的哨兵一号数据,基于D-InSAR技术和MAI技术求得地震形变量,按等权分配进行联合求解,最后得到该震区的三维形变信息。     

合成孔径雷达与森林地上生物量反演：好奇和实用的平衡

好奇是科学与技术发展、不断创新的源泉,实用则是科技发展、创新的结果服务人类、回馈社会,两者无不例外共同不断地驱动着合成孔径雷达技术和森林地上生物量反演的研究和发展。在全球气候急剧变化的今天,好奇和实用的平衡则更加至关重要。地球陆地表面森林面积大小和树木生物量是估算各国或者全球碳储量、排放及其变化的重要参数。好奇已产生的成功案例表明,树木生物量的反演与全极化、极化干涉、层析合成孔径雷达SAR(Synthetic Aperture Radar)技术及数据集紧密相关。反思过去,兼顾好奇和实用,对地上树木生物量的反演,建议将来考虑以下4种方案,即星载双波段SAR和异速方程(Allometric Equation),星载激光雷达LiDAR(Light Detection and Ranging)和异速方程,第3个方案是前面两个方案的结合,方案4为探索和好奇性的。     

基于无人机紫外与SAR的溢油遥感监测方法研究

溢油污染不仅会造成巨大的经济损失,而且给生态环境带来难以修复的破坏。准确、高效地监测海面溢油仍是当前亟需解决的问题。紫外传感器对油膜非常敏感,可快速发现,但存在误判;而SAR(SyntheticApertureRadar)溢油探测的精度较高,两者相结合可准确探测溢油。无人机平台可低成本地实现溢油快速应急响应,无人机载SAR和紫外传感器的载荷重量小,可同时集成于无人机上开展联合溢油探测,以满足业务化监测需求,此方面的研究尚未见有相关报道。本文拟研究溢油不同种类、厚度、在不同海洋环境条件下的紫外图像特征和SAR纹理特征、形状特征、散射特征,构建溢油特征数据库,并建立一种基于特征组合的溢油SAR与紫外联合探测方法;在此基础上研究对无人机数据获取模式和控制单元等的改造方案,进而实现溢油SAR和紫外图像的高效获取。     

高分辨率SAR影像在海岛监视监测中的应用

高分辨率合成孔径雷达(SAR)是先进的成像微波遥感器,可全天候和全天时工作,在海岛监视监测中发挥特殊作用。文章概述高分辨率SAR的成像原理和国际应用进展,通过介绍海岛礁在高分辨率SAR影像上的表现,直观展示高分辨率SAR在小海岛识别和海岛开发工程监视监测等方面的应用,尤其提出利用SAR影像特征区分小海岛和船只的方法,同时提出将高分辨率SAR影像与中分辨率光学影像相结合的应用建议,助力我国海岛保护管理和监视监测工作。