相控阵天气雷达波束特性

为了缩短雷达的探测周期, 相控阵天气雷达必须采用宽波束发射, 多波束接收。该文在天线口径为均匀分布和非均匀分布情况下讨论了相位扫描天线的方向图, 对波束特性进行分析, 提出采用非均匀划分子空间方法可对相位扫描天线带来的波束展宽效应和增益减小进行补偿, 并模拟设计了一个相控阵天气雷达天线方案, 给出宽波束和多个窄波束方向图及波束参数。结果表明:海明加权方法可使副瓣电平降低到-25 dB, 能基本满足天气探测需求; 采用非均匀划分子空间能够对波束宽度和天线增益进行补偿; 文中所设计的天线方案不仅能够缩短雷达的探测周期, 还能充分利用雷达的照射能量。     

CINRAD/SB雷达回波强度定标调校方法

回波强度定标和调校方法是保障CINRAD/SB回波强度测量精度的关键技术,方法不当会导致回波强度测量误差增大,直接影响雷达定量估测降水产品的可靠性。为了满足回波强度测量误差在±1 dBZ范围内的技术要求,根据雷达气象方程,通过对CINRAD/SB接收机测试通道、主通道、天馈系统相关影响回波强度测量误差的因素进行分析,提出了从接收机动态范围和雷达参数调整、线性通道增益定标目标常数定标,到测试通道参数调整的回波强度定标工作流程。总结出以线性通道增益定标目标常数定标为基准,采用测试通道参数测量法或基准法调校,以保证发射功率和接收机动态范围变化导致的回波强度测量误差得到在线实时校正,提高了CINRAD/SB回波强度测量精度。从接收机测试通道、主通道、天馈系统及发射功率4个方面,给出了回波异常的分析和诊断流程。并提出在接收机保护器前端增加机外信号注入口和定标信号功率检测功能,以利于机内外回波强度定标对比校准和消除测试通道参数变化导致回波强度测量误差的建议。     

陕西果业基地伏旱指数及其预报方法

选取陕西苹果(梨)生产基地县中生态环境、气候特点与苹果(梨)产业发展水平具有代表性的10个台站,近40 a(1969—2008年)伏期降水量和无降水日数资料,设计并计算其伏旱指数。将伏旱指数分成强、偏强、中等、偏弱和弱五个等级,并用典型k阶自回归AR(k)预测模式进行独立样本预测试验。结果表明:伏旱指数能够较客观地反映基地县的伏旱强度,且伏旱指数的时空分布特征差异较大。这与这些基地县所处纬度、海拔高度、生态环境和气候背景的差异有关。典型k阶自回归预测模式预测准确及基本准确率在70%左右,预报效果尚好,具有实用价值。     

Simulation of the progressive failure of an embankment on soft soil

A pragmatic strain-softening constitutive model, which is based on Modified Cam Clay, was applied to the simulation of the progressive failure of an embankment constructed on a deposit of sensitive (strain-softening) clay in Saga, Japan. A comparison of the predictions for this case indicates that if softening is ignored, only relatively small deflections and consolidation settlements are predicted, especially after construction. In contrast, for the case where softening is included in the analysis, progressive failure within the clay induces large shear deformations and finally failure of the embankment is predicted. This comparison suggests that softening-induced progressive failure should be considered in the design of embankments on such soils, and the residual strength of the deposit may have an important influence on the overall factor of safety of the construction. Detailed analyses of predicted excess pore water pressures, shear strains and shear stress levels in the ground indicate that considering the strain-softening process: (a) is associated with the buildup of excess pore water pressure; (b) promotes strain localization; and (c) results generally in a larger zone of soil involved in the failure.     

2016年门源MS6.4地震前亚失稳短期前兆综合分析

1 研究背景 地震预报要取得防灾减灾实效,关键在于短—临预报.亚失稳是断层失稳前区域应力由积累为主转变为释放为主的最后阶段,马瑾等(2012,2014)总结了震前应力积累、亚稳态、亚失稳态3个阶段的不同特点,指出失稳错动是由断层各部位独立活动向协同化活动的转化过程,偏离线性的亚稳态是应力释放、协同作用的开始,亚失稳阶段应力释放已占据优势.     

济南西北部碳酸盐岩热储浅埋区热异常机理研究

为了探寻济南岩体北部碳酸盐岩热储浅埋地热异常区形成机理,利用地质钻探编录、抽水试验、测温、水质分析测试等手段,对碳酸盐岩浅埋地热异常区地质特征、热储物性特征、地温场特征、水化学特征等进行研究,结果表明：碳酸盐岩浅埋区热储层发育在奥陶纪灰岩地层中,热储层岩溶裂隙发育,热储埋深150~1000m,地热异常区盖层地温梯度为7. 2~11. 5℃/100m,水化学类型为SO4- Ca型,TDS为1. 3~1. 5g/L,地热水中含有对人体有益的微量元素,地热水来源为大气降水,地热水中50年以前入渗的“古水”占主导;明确了热源除正常的地温传导之外,济南岩体阻挡迫使水流深循环加热后上涌,断裂沟通深部热源等也是地热异常区形成的重要因素。     

通勤时间、社区活动对社区社会资本的影响：基于北京26个社区的调查研究

城市扩张和郊区化显著增加居民的通勤时间,减少居民在社区内及周边开展的日常活动,进而可能对居民的社区社会资本产生消极影响。基于2017年北京市26个社区居民的社区融合与活动日志问卷调查数据,通过构建结构方程模型,探讨通勤时间、社区活动对社区社会资本的影响机制。结果发现,控制居民社会经济属性和社区区位后,长时间通勤会减少居民在社区及周边1 000 m范围内开展的活动,并进一步对社区社交网络结构、社会信任和共同价值等社区社会资本的不同维度产生负面影响。此外,社区活动中社交娱乐活动的中介效应显著,而个人和家庭事务活动中介效应不显著。最后,证实了促进职住平衡、减少职住分离的规划政策对于增加居民社区活动及培育社区社会资本的重要意义。     

基于因子分析法的河西走廊五市旅游竞争力分析

在对河西走廊五市旅游业发展情况进行研究的基础上,从旅游产业发展规模、产业增长潜力和产业环境等3个方面选取了28个指标,通过因子分析法对每个指标数据进行加权,然后通过定量分析法比较各城市旅游竞争力。结果表明：河西五市中,旅游竞争力顺序依次为酒泉、武威、张掖、嘉峪关、金昌。最后对河西走廊各市旅游竞争力进行了比较分析,并针对旅游竞争力的提升提出了建议。     

The IFFT-based SQM method against digital distortion in GNSS signals

Global navigation satellite systems (GNSS) signal deformations could threaten the position accuracy and integrity of GNSS, especially for safety critical applications. Digital distortion is an important kind of deformations caused by failures inside the baseband generation unit onboard the GNSS satellites. Multi-correlator technique, as a prevalent signal quality monitoring (SQM) method, was developed to reliably detect the signal anomaly and therefore protect airborne users from this integrity threat. However, the conventional multi-correlator technique is unable to estimate the degree of distortion quantitatively, while another SQM method, the chip domain observable, has a poor real-time capability so that it could not meet the stringent time to alarm requirements. To solve the above problem, we derived the spectrum form of the conventional Threat Model A first and proposed a IFFT-based SQM algorithm. This new method can perform SQM easily by analyzing the impulses after PSD division and IFFT: Detect the presence of digital distortion by judging whether there is an impulse after IFFT and estimate the degree of distortion by computing the offset of the impulse. The results show that the IFFT-based method can not only detect digital distortion real-timely but also estimate the digital distortion degree quantitatively.