自动气象站数据异常的原因分析

（1）采集器损坏导致无法采集数据，出现数据全部缺测。（2）采集器电源系统故障，致使定时数据无法采集，出现要素全部缺测。（3）通信线路出现故障。当自动气象站的防雷板、终端机的串口或连接卡、串口隔离器被雷击、通信线缆出现断开或其他因素导致开路都是导致自动气象站数据全部缺测的原因。（4）自动气象站计算机终端的硬盘或主板问题，导致采集发送过来的数据无法存贮，     

HEIFE绿洲和沙漠地区大气边界层湍流混沌特性研究

利用“黑河实验”期间张掖、沙漠观测站加强观测期间１９９１年６月２０日０９：００至１９９１年１０月２日０９：００时段内水平风速的观测资料,计算分析了有关测量混沌的特征量：关联维数。Ｌｙａｐｕｎｏｖ指数和Ｋｏｌｍｏｇｏｒｏｗ熵。     

大化国土局参加“万名党员万张红卡办万件实事”活动

3月25日，大化县国土资源局到挂点的岩滩镇常吉村参加“万名党员万张红卡办万件实事”活动。     

基于深度学习的地震震级分类

为了探索地震加速度时程记录的震级信息,训练卷积神经网络基于地震震级大小对地震记录进行分类,将K-NET和KiK-net中将近12万个地震记录作为样本,对其进行信息筛选和归一化,之后将地震加速度时程记录用作输入,训练卷积神经网络模型以M5.5为分类界限来区分大震和小震。结果显示,在训练集中基于该模型的分类准确率为93.6％,在测试集中的准确率为92.3％,具有良好的分类效果,这表明大震记录与小震记录之间存在一些根本的区别,即可通过地震动加速度时程记录获取一定的震级信息。      

The sensitivity of ground surface temperature prediction to soil thermal properties Using the Simple Biosphere Model (SiB2)

Using the Simple Biosphere Model (SiB2), soil thermal properties (STP) were examined in a Tibetan prairie during the monsoon period to investigate ground surface temperature prediction. We improved the SiB2 model by incorporating a revised force-restore method (FRM) to take the vertical heterogeneity of soil thermal diffusivity (k) into account. The results indicate that (1) the revised FRM alleviates daytime overestimation and nighttime underestimation in modeled ground surface temperature (T_g), and (2) its role in little rainfall events is significant because the vertical gradient of k increases with increasing surface evaporation. Since the original formula of thermal conductivity (λ) in the SiB2 greatly underestimates soil thermal conductivity, we compared five algorithms of λ involving soil moisture to investigate the cause of overestimation during the day and underestimation at night on the basis of the revised FRM. The results show that (1) the five algorithms significantly improve T_g prediction, especially in daytime, and (2) taking one of these five algorithms as an example, the simulated T_g values in the daytime are closer to the field measurements than those in the nighttime. The differences between modeled T_g and field measurements are mostly within the margin of error of ±2 K during 3 August to 4 September 1998.     

Wave-dependence of friction velocity,roughness length,and drag coefficient over coastal and open water surfaces by using three databases

The parameterization of friction velocity, roughness length, and the drag coefficient over coastal zones and open water surfaces enables us to better understand the physical processes of air-water interaction. In context of measurements from the Humidity Exchange over the Sea Main Experiment (HEXMAX), we recently proposed wave-parameter dependent approaches to sea surface friction velocity and the aerodynamic roughness by using the dimensional analysis method. To extend the application of these approaches to a range of natural surface conditions, the present study is to assess this approach by using both coastal shallow (RASEX) and open water surface measurements (Lake Ontario and Grand Banks ERS-1 SAR) where wind speeds were greater than 6.44 m s^-1. Friction velocities, the surface aerodynamic roughness, and the neutral drag coefficient estimated by these approaches under moderate wind conditions were compared with the measurements mentioned above. Results showed that the coefficients in these approaches for coastal shallow water surface differ from those for open water surfaces, and that the aerodynamic roughness length in terms of wave age or significant wave height should be treated differently for coastal shallow and open water surfaces.     

湍流通量参数化方案的非迭代方法研究

基于Högström (1996) 和Beljaars et al.(1991) 的研究工作, 沿用Louis et al.(1982) 和Launiainen (1995) 的思路, 本文采用多元回归分析方法, 研发了一种采用非迭代方法的湍流通量参数化方案。该方案直接用整体理查森数、 空气动力学粗糙度长度和热力学粗糙度长度对稳定度参数进行参数化, 从而避免了通过循环迭代计算Monin－Obukhov长度。该方案不仅有效地节省了CPU计算时间, 而且其计算结果与迭代方案 (BHH方案) 的计算结果非常接近。     

两种土壤温度算法的对比分析

为了定量理解黄土高原土壤的物理特性和过程, 为进一步提高陆面模式对该地区地表能量平衡模拟能力奠定基础, 本文利用2005年黄土高原陆面过程试验中7月22～26日期间裸土地表观测站土壤温度观测资料, 采用热传导（结合数学拟合法)、热传导－对流两种方法分别计算了该地区土壤热扩散率。本文还利用热传导－对流方法计算0.05～0.1 m浅薄土壤层的热扩散率垂直梯度与水通量密度之和, 其值介于0.80×10-6～2.43×10-6m/s之间。在此基础之上, 以0.05 m深度的土壤层为上边界, 分别利用上述两种方法模拟0.10 m深度的土壤层温度, 结果表明: 由于忽略土壤的垂直不均匀性和水分的垂直运动而只考虑热传导过程, 热传导方法不仅高估了土壤温度振幅, 而且高估了位相的延迟。而热传导－对流方法对温度振幅和位相的模拟值与实际观测值吻合较好, 白天 (北京时间08:00～20:00) 的温度模拟值相对测量值的平均误差、 标准差和归一化标准差分别为0.19 K、0.18 K和0.08%。     

累托石制备润滑脂的初步研究

累托石是一种具有独特的结构组成和性质的粘土矿物,其既具有象蒙脱石一样的阳离子交换性,吸水膨胀性,制浆性等,又具有象云母一样的耐高温性和光滑性等性能。经提纯和有机改性后的累托石吸油速度快,膨胀率高,是一种较好的稠化剂,用它制备的润滑脂滴点〉６３３．１５Ｋ,远高于膨润土润滑脂的指标要求,研究表明,累托石是制备润肖脂稠化剂的好原料,累托石润滑脂是一种新型高温润滑脂。     

面向地震巨灾保险的建筑特性快速提取方法

房屋建筑分类是抗震设计和地震风险分析的基础,是巨灾保险的纽带环节,也是结构易损性准确、完备分析的前驱保障,快速获取建筑特性参数非常关键。基于影像数据获取结构特性相比传统手段具有显著优势,然而其准确性具有一定挑战性,从影像数据得到实时的、较准确的结构特性成为地震保险数据获取技术的关注焦点。本文采用深度学习方法开展从影像数据中提取面向地震保险需求的建筑特性数据,构建基于深度学习方法的建筑高度识别模型和基于机器视觉的建筑高度识别方法,运用基于Xception神经网络深度学习和机器视觉的模型,对北京地区的建筑高度进行模型测试,该方法可为地震保险分析提供重要的基础数据支持。