新疆霾天气监测的优化对策研究

针对新疆气象局普查全疆105个国家级气象站1951—2008年人工观测的霾天气历史记录时,发现新疆霾天气人工观测历史资料的统计数据出现明显不符合实际情况的异常现象,为探究出现这些异常现象的根本原因,研究人员分别采用历史资料统计法、问卷调查法、归纳分析法等多种方法,面向全疆观测员、预报员、业务管理人员等收集其对霾天气监测现状的看法和建议,进而归纳和总结出新疆霾天气监测业务中存在的主要问题,并针对存在的问题提出新疆霾天气监测的优化对策与措施,这些优化对策与措施已经应用于新疆气象观测站的日常霾天气业务中,且取得了一定的成效。     

Mapping fine‐scale urban housing prices by fusing remotely sensed imagery and social media data

The accurate mapping of urban housing prices at a fine scale is essential to policymaking and urban studies, such as adjusting economic factors and determining reasonable levels of residential subsidies. Previous studies focus mainly on housing price analysis at a macro scale, without fine‐scale study due to a lack of available data and effective models. By integrating a convolutional neural network for united mining (UMCNN) and random forest (RF), this study proposes an effective deep‐learning‐based framework for fusing multi‐source geospatial data, including high spatial resolution (HSR) remotely sensed imagery and several types of social media data, and maps urban housing prices at a very fine scale. With the collected housing price data from China's biggest online real estate market, we produced the spatial distribution of housing prices at a spatial resolution of 5 m in Shenzhen, China. By comparing with eight other multi‐source data mining techniques, the UMCNN obtained the highest housing price simulation accuracy (Pearson R = 0.922, OA = 85.82%). The results also demonstrated a complex spatial heterogeneity inside Shenzhen's housing price distribution. In future studies, we will work continuously on housing price policymaking and residential issues by including additional sources of spatial data.     

Characteristics of sand damages and dynamic environment along the Tuotuohe section of the Qinghai-Tibet Railway

Sand damages along the Qinghai-Tibet Railway occur frequently and have spread rapidly since it was completely opened to traffic in 2006. The goal of this study was to understand the effects of sand damages on the railway via meteorological data and in situ observation of wind-blown sand. We selected the Tuotuohe section of this railway as a typical research object, and we systematically investigated its characteristics of sand damages, drift potential, sand-driving wind rose, and their time variation. The direction of sand-drifting wind clearly varies with the season. In winter, the predominant wind blows from the west and lasts for three months, while in summer the frequency of northeasterly wind begins to increase and multi-directional winds also occurs in July. The drift potential in this area is 705.81 VU, which makes this a high-energy wind environment according to Fryberger’s definition. The directional variability (RDP/DP) is 0.84 and the resultant drift potential is 590.42 VU with a resultant direction of 89.1°.     

长江中下游湖泊群落水平下沉水植物碳、氮、磷化学计量特征及其影响因素

以长江中下游14个湖泊沉水植物为研究对象,分析群落水平下沉水植物碳(C)、氮(N)、磷(P)的化学计量特征及其影响因素.结果显示,沉水植物群落C含量平均为386.93±25.80 mg/g,范围为315.98~441.97 mg/g,N和P含量的平均值分别为26.10±4.84和2.64±0.99 mg/g,范围分别为13.75~40.89和1.01~5.92 mg/g.与物种水平研究相比,群落水平下沉水植物C、N、P化学计量特征变异系数较小,内稳定性更强.群落C含量与P含量具有显著相关性,而与N含量不相关,这说明C元素与N和P之间的耦合关系并不一致;N∶P比与P含量之间具有极显著的负相关关系,但与N含量不相关,说明沉水植物群落P含量的变异对N∶P比起主导作用.冗余分析表明,环境因子解释了沉水植物群落化学计量特征总变异的30.2%,在P0.01水平下对沉水植物群落化学计量特征具有显著影响的环境因子为底泥总磷、底泥N∶P比、水深和消光系数.变差分解结果表明,底泥和上覆水分别独自解释了化学计量特征总变异的5.21%和10.19%,其交互作用解释了总变异的5.25%.通过该研究结果推测,在恢复湖泊水生植被的实践过程中,相对于底泥,对上覆水光照条件进行控制可能更加迫切.     

基于图像分析的双台面波相速度频散曲线快速提取方法

双台波形的互相关方法是面波相速度频散曲线提取的一种常用方法。传统的方法精度不高,效率较低。本文提出了一种基于图像分析的频散曲线快速提取方法,采用图像显示互相关振幅矩阵,且提出了快速追踪整条频散曲线的算法,并用Matlab编写了交互式的处理软件。基于这种方法编写的资料处理软件提高了双台相速度频散曲线提取的速度和精度,为大批量处理地震数据资料提供了坚实的软件基础。基于图像分析的方法可以更为清晰地展现出双台问的面波频散曲线的特征,对频散曲线的识别和分析也提供了更为有效的研究工具。     

Tidal Evolution of the Kepler Candidate Two-planet Systems

The tidal evolution of ten Kepler candidate two-planet systems is investigated by using the general secular perturbation theory, and then a general picture of tidal evolution for these systems is described. Taking the KOI 1239 system as an example, the tidal effect of the system is studied in detail, the results indicate that the dissipative term of the tidal effect causes the attenuation of planets’ orbital eccentricities, and it plays a dominant role in the process of orbital evolution, however, the conservative term of the tidal effect and the relativistic effect may damp the excitation of the eccentricity of the inner planet under the secular perturbation of the outer planet. In addition, the process of tidal evolution is also affected by both the initial eccentricity of the outer planet and the planet's tidal dissipation coeffcient. At the same time, the numerical simulation on the tidal evolution of the KOI 1239 system is also made, and the numerical results are consistent with those of general secular perturbation theory.     

危害我国红树林的团水虱的生物学特征

近些年来,团水虱(Sphaeroma spp.)在红树林生态系统中的持续爆发已成为天然和人工红树林遭受破坏的主要原因之一,在我国海南、广东和广西都有不同程度的发生.目前国内有关红树林湿地团水虱的生物学特征研究较少,而明确团水虱的生物学特征是研发其防控技术的重要依据.本研究通过文献查阅和实地调查,总结了团水虱危害中国红树林的现状,团水虱的种类、分布和生活史,以及繁殖和聚集的季节、繁殖方式、营养物质偏好等,以期为团水虱的防控提供理论和技术方面的支撑.     

鄂尔多斯盆地深部富铀烃源岩提供铀源可能性的实验研究

鄂尔多斯盆地上三叠统延长组长7段石油优质烃源岩以富铀为特色,而盆地侏罗?白垩纪地层以赋存大量砂岩型铀矿而著称.为探索深部长7富铀烃源岩为浅部砂岩型铀矿形成提供铀源的可能性,选择盆地南部的富铀烃源岩、油样以及具有代表性的碳酸铀酰作为反应物,在中?高温高压还原条件下分别进行烃源岩生排烃?排铀模拟实验和油?铀关系模拟实验.结...     

用于数值分类的聚类分析

这里所谓聚类分析包括传统的聚类分析和作者提出的聚类统计检验分析。传统的聚类分析是常用的重要数值分类方法。但是，这个方法由于缺乏显著性检验，在国际上已长期公认是一个在多元统计中并不完整的方法。本文把聚类统计检验分析在其具有显著性检验的优越性上，和传统聚类分析作了对比分析。聚类统计检验分析区分有均匀聚类与中心聚类。前者用（１６）作为聚类判据，后者则用（２７），并且各用相应的公式（１７）－（２１）与（２     

兰州—天水地区三维重力反演及其地质解释

本文利用重力资料对兰州—天水地区的深部构造进行了研究。在计算中,采用Parker-Oldenbarg三维位场反演方法,反演前对重力资料进行了地形改正和中新生代沉积层校正。根据反演结果,综合分析了有关资料,认为该区为青藏块体过渡带,并且提出了陇中盆地为断块型构造盆地的新认识。