Size Distributions and Elemental Compositions of Particulate Matter on Clear, Hazy and Foggy days in Beijing, China

Total suspended particulates(TSP)samples were collected using low pressure impactors(Andersen Series 20-800,USA)on typical clear,hazy and foggy days in Beijing in order to investigate the characteristics of size distributions and elemental compositions of particulate matter(PM)in different weather conditions. The concentrations of sixteen elements,including Na,Mg,Al,K,Ca,Mn,Fe,Ni,Cu,Zn,As,Se,Cd,Ba,Tl and Pb were detected using inductively coupled plasma mass spectrometry(ICP-MS).The results showed that Ca,Al,Fe,Mg and Ba on foggy days were 2.0-2.6 times higher than on clear days,and 2.3-2.9 times higher than on hazy days.Concentrations of Cu,Zn,As,Se and Pb on foggy days were 163.5,1186.7,65.9,32.0 and 708.2 ng m-3,respectively,in fine particles,and 68.1,289.5,19.8,1.6 and 103.8 ng m-3,respectively,in coarse particles.This was 1.0-8.4 times higher and 1.4-7.4 times higher than on clear and hazy days,respectively.It is then shown that Mg,Al,Fe,Ca and Ba were mainly associated with coarse particles,peaking at 4.7-5.8μm;that Cd,Se,Zn,As,Tl and Pb were most dominant in fine particles,peaking at 0.43-1.1μm;and that Na,K,Ni,Cu and Mn had a multi-mode distribution,with peaks at 0.43-1.1μm and 4.7-5.8μm.The enrichment factors indicated that coal combustion along with vehicle and industry emissions may be the main sources of pollution elements.     

基于系统动力学的巢湖流域水资源承载力动态预测与调控

湖泊流域水资源承载能力动态预测与调控是维护湖泊生态安全、保障社会经济健康持续发展的重要基础和手段.本文以巢湖流域为研究对象,提出基于系统动力学的湖泊流域水资源承载力动态预测技术和试验优化调控方法.首先以县(市)为基本单元构建水资源承载力系统动力学模拟与动态预测模型;再从空间上将各县(市)耦合为流域系统整体模型,并通过敏感性分析筛选量质要素调控指标;最后采用正交试验设计确定流域水资源承载力优化调控方案.结果表明:由于流域内产业规模的扩大以及城镇化率的提升,20172050年巢湖流域水资源承载状态值整体呈恶化趋势,并于2030年以后将长期处于超载状态,通过对影响要素针对性优化调控后,20172050年流域水资源承载状态均达到临界或可载.研究表明本文提出的方法对于促进区域社会经济环境协调发展和改善流域水资源承载力具有较好的实际应用价值.     

X 波段双极化雷达对云中水凝物粒子的相态识别

人工影响天气研究需对云中降水粒子的相态和分布结构进行准确识别,以便提高人工影响天气作业效率.中国科学院大气物理研究所的车载X波段双极化雷达可提供与云中降水粒子大小、形状、相态等特征密切相关的4个极化参数:反射率因子、差分反射率、差分相移率、水平和垂直极化相关系数.利用这4个极化参数加上环境温度作为5个输入参量,建立了降水粒子相态模糊逻辑识别算法,识别的降水粒子有10种:毛毛雨、雨、湿霰、干霰、小雹、大雹、雨加雹、湿雪、干雪、冰晶.利用此雷达的实际观测资料,并与地面和飞机空中实测资料对照,对我国南、北方地区观测的降水天气过程进行分析,结果表明:建立的模糊逻辑算法对云内水凝物粒子的相态识别分类合理.     

多特征联合水声通信信号调制识别方法

为解决水声信道下通信信号识别困难的问题,对水声CW、LFM、2FSK、4FSK、BPSK、QPSK、DSSS-BPSK和OFDM信号的调制识别技术进行了研究,旨在提出一种适用于这8种信号的调制识别方法。通过对信号的时频特征、二次方谱特征及自相关特征进行分析,并利用基于迁移学习的ResNet网络和线性支持向量机进行分类,最终得到了一种多特征联合水声通信信号调制识别方法。仿真表明：在千岛湖多径信道下,信噪比大于9 dB时,所研究8种信号的识别率均在99%以上;最后,通过海试进一步验证了该方法的可行性,海试数据识别率均在93%以上。仿真及海试验证的结果表明,所提的方法是适用于水声信道的。     

基于MICAPS 4的精细化天气预报平台设计及应用

基于气象信息综合分析处理系统第4版(Meteorology Information Comprehensive Analysis Process System4,MICAPS 4)的精细化天气预报平台的设计与应用。从我国精细化气象格点预报业务需求出发,介绍了精细化预报系统的总体组织结构和数据流程,基于MVVM模式的总体架构设计、功能设计以及实现。平台采用高性能的分布式内存对象缓存技术,提高了系统运行效率;采用模型视图分离,将数据逻辑与用户界面剥离,增强其可扩展性,更便于省级本地化应用;开发了要素场协调性处理功能,集成了降水、温度等客观预报算法,并提供丰富的主/客观交互工具。目前,该平台已在业务中应用,为全国精细化预报业务提供了重要支撑。     

淮南朱集西井田第二含煤段煤层对比研究

淮南朱集西井田二叠系含煤地层可划分为7个含煤段,下石盒子组为第二含煤段共含煤10层,其中4-1、402、5-1、7—8煤层为可采煤层。根据井田大量地质资料,采用标志层法、古生物法结合物性特征、煤质特征对第二含煤段可采煤层进行划分对比。4煤组中4-1、4-2均为较稳定的中厚煤层,距4-1,煤层下约13m的铝质泥岩是对比本煤组的主要依据;5煤组中5-1,煤下1m左右常见0．5m薄煤层,在39线以西常合并为一层,以此为特征区别于其他煤组：7-2为较稳定煤层,其视电阻率曲线特征呈单峰形态,长源距伽马曲线顶部靠下有一小台阶,本煤组距8煤层15m左右,间距较稳定,也可作为对比标志层;8煤层顶板富含植物化石,以常见较完整的椭圆斜羽叶及栉羊齿富集为特征,8煤层视电阻率幅值为第二含煤段最高,长源距伽马曲线常呈不对称状态,顶部曲线幅值常低于底板而明显区别于其他煤层。     

Sulfur isotope biogeochemistry of the Proterozoic McArthur Basin

Previous geochemical and biomarker studies of the late Paleo-Mesoproterozoic propose a stratified world, with strongly reducing (possibly sulfidic) deep-ocean conditions overlain by an oxygenated surface-ocean and atmosphere. To investigate such a scenario, we look to the structure of the biogeochemical sulfur cycle. We present sulfur (³²S, ³³S, ³⁴S, and ³⁶S in sulfides) isotope data from the McArthur Basin (Barney Creek, Reward, Velkerri, and McMinn formations) that allows for a direct evaluation of the surface biosphere. We are interested in investigating the types of information that can be gained by including ³³S and ³⁶S. When the ³⁴S/³²S fractionations are small, the inclusion of ³³S and ³⁶S provides little additional information, but does provide ancillary evidence for relative isotopic homogeneity (with the internal consistency of ³³S/³²S and ³⁶S/³²S). When the ³⁴S/³²S fractionations are large, direct information about the fractionation mechanisms can be obtained, with the potential to distinguish the biological from abiological processes. For example, the reconstruction of the Roper Group suggests that seawater sulfate concentrations were high enough to buffer against spatial heterogeneities. Overall, our findings agree with previously proposed redox structure of the Proterozoic ocean, highlight contributions from the oxidative sulfur cycle, and outline a new tool for interpreting the state of the surface sulfur cycle.     

1949-2015年中国典型自然灾害及粮食灾损特征

中国是一个自然灾害频发的国家,研究其自然灾害演变特征及粮食灾损规律,对实现中国社会经济可持续发展、解决中国粮食安全问题具有重要意义。本文先基于Python语言编程获取1949-2015年中国31省市自然灾害造成的受灾、成灾、绝收面积,构建灾害强度指数分析不同灾种的时序特征分异,利用趋势分析、ESDA方法分析不同灾种在省域空间的分布特征及冷热区;再获取1949-2015年粮食种植数据,通过粮食灾损估算模型、定义粮食灾损率、地理空间探测器,计算并检验中国粮食损失时空特征及分异性。结果表明：① 相比受灾面积曲线,本文构建的灾害程度指数能够更好揭示自然灾害时序演变特征;② 1949-2015年期间中国两大主力灾害（洪灾、旱灾）交替出现,未来5~10年以洪灾为主;③ 灾种排序旱灾>洪灾>风雹>低温>台风,其中旱灾、洪灾受灾占比过半;④ 省域不同灾种间空间趋势变化特征明显,区域受灾面积东部>西部,北部>南部,且北部灾种单一、南部多灾并发;⑤ 自然灾害受灾总和、旱灾、雹灾、低温空间上全局自相关性不显著,呈随机模式分布,洪涝、台风在空间分布上具有显著的全局自相关性,呈集聚模式;⑥ 1949-2015年灾害、灾损量、灾损率整体时序趋势呈现先升后降,2000年为临界点,空间分布具有异质性,单因子解释力度差异显著,多因子交互均呈非线性增强关系,胡焕庸线两侧冷热点分布呈两极化且其重心向北迁移。建议政府加强除旱减雹（西北）、除旱排内涝（东北）、排涝防冻（中部）、排涝预台（东南沿海）等工程技术措施;同时西北（环境恶劣）、东北（中国粮仓）应作为防灾减灾重点保护区,制定专项保护方案,以保证中国粮食丰产增收。     

Undifferenced Cycle Slip Estimation of Triple-Frequency BeiDou Signals with Ionosphere Prediction

With the rapid development of BeiDou satellite navigation system (BDS), high-quality service has been provided in the Asia-Pacific region currently, which will be extended to the whole world very soon. BDS is the first Global Navigation Satellite System that all satellites broadcast the triple-frequency signals. The triple-frequency signals in theory can improve the cycle slip detection that is one of the preconditions in precise positioning by making use of carrier phase. This paper discusses the development of a cycle slip detection method for undifferenced BDS triple-frequency observations in kinematic scenario. In this method, two geometry-free extra-wide-lane combinations and one geometry-free narrow-lane (NL) combinations are employed. The key is to mitigate the between-epoch ionospheric biases in the geometry-free NL combinations. We propose to predict the ionospheric biases of current epoch by using those from its consecutive foregoing epochs. The method is tested with extensive experiments in varying observation scenarios. The results show that in case of sampling interval as small as 5 s, the between-epoch ionospheric biases can be ignored and the correct cycle slips can be determined. Meanwhile in case of lower sampling frequency, one needs to compensate the ionospheric biases of current epoch by using the predicted ionospheric biases. The presented method can correctly detect all cycle slips even if they are as small as 1 cycle.